Azpipeline_org

(STEM) Science, Technology, Engineering & Mathematics

Mathematicians

Conduct research in fundamental mathematics or in application of mathematical techniques to science, management, and other fields.

Salary Breakdown

Mathematicians


Current Available & Projected Jobs

Mathematicians

1

Current Available Jobs


Sample Career Roadmap

Mathematicians


Top Expected Tasks

Mathematicians


Knowledge, Skills & Abilities

Mathematicians

Common knowledge, skills & abilities needed to get a foot in the door.

KNOWLEDGE

Mathematics

KNOWLEDGE

Computers and Electronics

KNOWLEDGE

English Language

KNOWLEDGE

Engineering and Technology

KNOWLEDGE

Physics

SKILL

Mathematics

SKILL

Reading Comprehension

SKILL

Critical Thinking

SKILL

Complex Problem Solving

SKILL

Active Learning

ABILITY

Mathematical Reasoning

ABILITY

Number Facility

ABILITY

Deductive Reasoning

ABILITY

Written Comprehension

ABILITY

Inductive Reasoning


Job Opportunities

Mathematicians

  • Customer Experience Research Scientist (Analytic Consultant 5)
    Wells Fargo    Phoenix, AZ 85067
     Posted 5 days    

    **Job Description**

    Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message. In order to receive text message invitations, your profile must include a mobile phone number designated as “Personal Cell” or “Cellular” in the contact information of your application.

    At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity and inclusion in a workplace where everyone feels valued and inspired.

    Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

    Consumer and Small Business Banking (CSBB) provides financial services to 21 million retail bank households and three million small business customers through approximately 4,900 retail branches, 17 customer service centers, and approximately 13,000 ATMs in 36 states and the District of Columbia. We serve and help individuals and families in many aspects of their lives, helping them buy homes, open first bank and savings accounts, buy cars to get to and from work or school, and start or grow small businesses. CSBB is focused on innovating and transforming with the customer at the center, better enabling customers to engage with us how, when, and wherever they choose. As an industry leader in many consumer and small business areas – including retail deposits, debit card transaction and purchase volume, and small business lending – our primary goal is delivering for our customers.

    Consumer Data and Engagement Platforms (CDEP) works across the CSBB, Consumer Lending, and Wealth and Investment Management lines of business to develop coordinated strategies for growth in each of Wells Fargo’s customer segments. The team is responsible for designing seamless, engaging customer experiences across products and channels, and building the next-generation digital, data and analytics, and functional capabilities required to deliver toward these objectives.

    The Enterprise Customer Experience (CX) Group works to exceed customers’ increasing expectations and financial needs by ensuring they’re appropriately considered and/or involved in every step of our product and service design and delivery processes. The CX Group has a need for analytics talent to support multiple areas within the team. This is a senior level individual contributor role.

    The CX Analytics Consultant role is a senior level individual contributor role. This individual will be responsible for the design and execution of customer experience analytics projects. Projects include those related to Wells Fargo’s CX system of listening which includes multiple primary survey efforts to understand the customer’s relationship with our brand, their unique journeys and their individual transactions. It also includes other listening posts across custom primary research, complaint feedback and social listening. The individual will be an expert in survey research design, sampling, reporting and insight generation.

    Key responsibilities include:

    + Designing and proposing the survey invitation volume in anticipation of appropriate weighting and balancing of survey responses.

    + Exploratory analysis of survey responses to develop appropriate response weighting scheme for future waves of research.

    + Analyzing customers who respond to surveys- including but not limited to channel usage and customer segments.

    + Linking survey data with internal customer data for exploratory analysis

    + Cross-tabulation of survey data for standard and exploratory analysis

    + Determining and tracking CX measurement goals.

    + Understanding and reporting customer complaints data, including how complaints tie to experience survey data and customer behavior

    + Analyzing unstructured open ended survey response data.

    + Consults and performs complex analyses/ analysis design involving data mining from multiple sources and/or predictive modeling, regression/multivariate, financial, comparative analysis, customer/demographic analysis, etc.

    + Analytics involved generally span multiple functional areas/business lines/data sources.

    + Perform analysis to determine drivers for NPS scores by segment, channel, or other customer criteria.

    + Perform factor analyses on survey data

    + Conduct exploratory analytics including pattern and relationship detection.

    + Ensure adherence to data management/data governance regulations and policies. Data involved may be very large, structured or unstructured, and from multiple sources. To a certain degree, may be involved directly or indirectly in the technical build-out and/or support of databases, query tools, reporting

    Preferred locations listed on job posting. Other locations within the Wells Fargo footprint may be considered.

    *** "Salary range is determined by the location of the job"

    The salary range displayed below is based on a Full-time 40 hour a week schedule.

    NC-Charlotte: Min: $90,100 Mid: $128,700 Max: $167,300

    MN-Minneapolis: Min: $90,100 Mid: $128,700 Max: $167,300

    MN-Minneapolis: Min: $90,100 Mid: $128,700 Max: $167,300

    NC-Winston Salem: Min: $90,100 Mid: $128,700 Max: $167,300

    IA-Des Moines: Min: $90,100 Mid: $128,700 Max: $167,300

    TX-SA-North Central: Min: $90,100 Mid: $128,700 Max: $167,300

    TX-Irving: Min: $90,100 Mid: $128,700 Max: $167,300

    CA-SF-Financial District: Min: $108,100 Mid: $154,400 Max: $200,700

    GA-Atlanta: Min: $90,100 Mid: $128,700 Max: $167,300

    AZ-PHX-Central Phoenix: Min: $90,100 Mid: $128,700 Max: $167,300

    MO-Saint Louis: Min: $90,100 Mid: $128,700 Max: $167,300

    CO-Denver: Min: $90,100 Mid: $128,700 Max: $167,300

    NV-Las Vegas: Min: $90,100 Mid: $128,700 Max: $167,300

    FL-Jacksonville: Min: $90,100 Mid: $128,700 Max: $167,300

    PA-Plymouth Meeting: Min: $99,100 Mid: $141,600 Max: $184,100

    CA-Concord: Min: $108,100 Mid: $154,400 Max: $200,700

    UT-Salt Lake City: Min: $90,100 Mid: $128,700 Max: $167,300

    ** May be considered for a discretionary bonus.

    **Required Qualifications**

    + 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling demonstrated through work or military experience; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling

    + 3+ years of market research experience

    **Desired Qualifications**

    + Extensive knowledge and understanding of research and analysis

    + Strong analytical skills with high attention to detail and accuracy

    + Excellent verbal, written, and interpersonal communication skills

    + Experience with survey design and methodology

    + Experience developing operational reporting and performing complex data analysis

    + Predictive modeling experience (including logistic regression)

    + Experience querying, extracting, and reporting on multiple databas es while adhering to data management regulations and policies

    + Knowledge and understanding of SQL or SAS

    **Job Expectations**

    + Ability to travel up to 10% of the time

    **Street Address**

    **NC-Charlotte:** 301 S Tryon St - Charlotte, NC

    **MN-Minneapolis:** 600 S 4th St - Minneapolis, MN

    **MN-Minneapolis:** 550 South 4th St - Minneapolis, MN

    **NC-Winston Salem:** 100 N Main St - Winston Salem, NC

    **IA-Des Moines:** 800 Walnut St - Des Moines, IA

    **TX-SA-North Central:** 16414 San Pedro Ave - San Antonio, TX

    **TX-Irving:** 2975 Regent Blvd - Irving, TX

    **CA-SF-Financial District:** 333 Market St - San Francisco, CA

    **GA-Atlanta:** 171 17th St Nw - Atlanta, GA

    **AZ-PHX-Central Phoenix:** 100 W Washington St - Phoenix, AZ

    **MO-Saint Louis:** 1 N Jefferson Ave - Saint Louis, MO

    **CO-Denver:** 1740 Broadway - Denver, CO

    **NV-Las Vegas:** 3511 Boulder Highway - Las Vegas, NV

    **FL-Jacksonville:** 1 Independent Dr - Jacksonville, FL

    **PA-Plymouth Meeting:** 2240 Butler Pike - Plymouth Meeting, PA

    **CA-Concord:** 1655 Grant Street - Concord, CA

    **UT-Salt Lake City:** 260 Charles Lindbergh Dr - Salt Lake City, UT

    **Disclaimer**

    All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

    Relevant military experience is considered for veterans and transitioning service men and women.

    Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

    **Benefits Summary**

    **Benefits**

    Visit https://www.wellsfargo.com/about/careers/benefits for benefits information.

    **Company:** Wells Fargo

    **Req Number:** 5599996-3

    **Updated:** 2021-09-17 02:00:04.138 UTC

    **Location:** Phoenix,AZ


    Employment Type

    Full Time

  • Principal Research Scientist - Statistics (Remote)
    Lilly    Phoenix, AZ 85067
     Posted 7 days    

    At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

    **Organization Overview:**

    At Lilly, we serve an extraordinary purpose. For more than 140 years, we have worked diligently to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world’s greatest health challenges.

    **Purpose:**

    The Project Statistician at the Principal Research Scientist level provides statistical leadership in multiple dimensions including:

    + Provides technical leadership and expertise in initiating and executing multi-disciplinary or cross functional projects that impact the Lilly Research Laboratory and the Statistical Sciences organization;

    + Leads the assessment and introduction of new statistical technology and methodology to apply to broader practice;

    + Leads the development of clinical plans, innovative protocol designs, and statistical analysis plans in collaboration with physicians and/or medical colleagues;

    + Provides consulting and statistical direction on priority clinical projects.

    **Key Responsibilities:**

    The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs.

    **Statistical Trial Design and Analysis**

    + Operate in collaboration with study personnel to provide input on study protocol, design studies and write protocols for the conduct of each study.

    + Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.

    + Collaborate with data sciences in the planning and implementation of data quality assurance plans.

    + Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.

    + Influence team members regarding appropriate research methods

    + Perform peer-review of work products from other statistical colleagues.

    **Communication of Results and Inferences**

    + Collaborate with team members to write reports and communicate results.

    + Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings.

    + Respond to regulatory queries and interact with regulators.

    **Therapeutic Area Knowledge**

    + Understand disease states, competitive landscapes, and regulatory environment in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor.

    **Regulatory Compliance**

    + Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training.

    **Statistical leadership and Teamwork**

    + Introduce and apply innovative methodology and tools to solve critical problems

    + Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions.

    + Lead projects independently and work effectively across functions. Apply technical expertise to influence business decisions.

    **Basic Qualifications:**

    + Ph.D. in Statistics OR Biostatistics

    + At least 7 years of proven experience in clinical research and development

    **Additional Skills/Preferences:**

    + Significant experience with clinical trials, medical research, and/or real-world evidence

    + Technical expertise and application with working knowledge of experimental design and statistical analysis

    + An established track record of developing and maintaining an area of statistical or collaborative research

    + Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUG, etc

    + Demonstrated problem solving ability and critical thinking

    + Teamwork and leadership skills; ability to provide statistical leadership and technical expertise to influence business decisions.

    + Interpersonal communication skills for effective customer consultation and collaboration

    + Creativity and innovation

    + Business process expertise associated with critical activities (e.g. regulatory submissions)

    Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

    Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

    As a condition of employment with Eli Lilly and Company in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide valid proof of vaccination to the company.

    At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.​ We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!

    \#WeAreLilly


    Employment Type

    Full Time

  • Research Scientist - Statistics & Privacy (Privacy-Preserving ML)
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    Our Statistics & Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, machine learning, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that millions of advertisers can benefit.

    We seek Research Scientists to identify new opportunities and help build scientifically rigorous systems focused on enhancing technological guarantees for consumer privacy while simultaneously expanding the efficiency of Facebook’s market-leading advertising optimization systems. Challenges include incorporating approaches such as differential privacy and multi-party computation within our ads delivery systems, designing machine learning systems on encrypted data and/or in decentralized or federated environments, and advancing the efficient frontier of privacy and utility in our ads systems.

    **Required Skills:**

    1. Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions

    2. Design and prototype new algorithms, optimization methods, and system architectures

    3. Assess the validity and rigor of new approaches

    4. Build cross-functional relationships with AI, Engineering, Product and Analytics teams to shape long-term roadmaps with a balance of scientific rigor and strategic considerations

    5. Publish research results in top-tier journals and at leading conferences

    **Minimum Qualifications:**

    6. PhD in Computer Science, Electrical Engineering, Statistics, or other quantitative fields, or MS/MA degree with 4+ years of relevant experience in research science

    7. Understanding of modern machine learning techniques and their mathematical underpinning

    8. Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets

    9. Proficiency in Python

    10. Experience with communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training

    11. Experience to track record of innovation

    12. Expertise with at least one of the following privacy technologies: Secure multi-party computation techniques, Differential privacy, Federated Learning, optimization algorithms and protocols, Learning on encrypted data, Homomorphic encryption, Trusted execution environments

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time

  • Research Scientist, Universal Speech Translator (PhD)
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    Translation technologies break language barriers and make content in any language accessible to people. In addition, audio and video are increasingly popular input modalities for interactions with phones and other devices. Speech translation enables live communication between people speaking different languages and enables understanding of multimedia input in different languages.The team, part of Facebook AI Research, will support research in real-time speech to speech translation. In this role, you will work closely with other scientists and engineers on the team to push the frontiers of speech-to-speech translation modeling.

    **Required Skills:**

    1. Develop novel model for speech to speech translation.

    2. Collaborate with other FAIR scientists and engineers.

    3. Publish academic papers at top conferences.

    **Minimum Qualifications:**

    4. Currently has or is in the process of obtaining a PhD in Computer Science or related field.

    5. Experience with deep learning models in NLP and Speech.

    6. Experience with Pytorch.

    7. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.

    **Preferred Qualifications:**

    8. Research and software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions.

    9. Research experience with ASR, MT, and TTS.

    10. First-authored publications at peer-reviewed conferences (e.g. NeurIPS, ICLR, ACL, ICASSP, INTERSPEECH, or similar).

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time

  • Research Scientist - Statistical Learning and Experimentation
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    Our Statistics & Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, machine learning, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that 3 billion people and 200 million businesses on our platform can benefit. Examples include internal and external experimentation platforms, ads delivery optimization for efficient causal outcomes, and the application of privacy enhancing technologies across our ads product stack.

    Facebook seeks industry-experienced Research Scientists to join Statistics & Privacy and serve as scientific leaders for cutting-edge applied research. Such work necessitates identification and evaluation of new research opportunities, and development of scientifically rigorous systems. Research scientists drive forward prototypes and methodologies, and build consensus with engineering stakeholders as to the scientific and strategic merit of our initiatives. This role will focus on ranking, delivery, and experimentation systems that power our advertising and commerce capabilities. This work is critical to our long-term product development, and we expect research scientists to provide both scientific expertise and creative solutions to accelerate their project area.

    **Required Skills:**

    1. Identify specific, high-impact opportunities to build new and improve existing advertising and commerce solutions

    2. Design and prototype new algorithms, optimization methods, and system architectures with a focus on deep learning (retrieval, ranking, recommender systems), experimentation and inference systems

    3. Build cross-functional relationships to shape long-term roadmaps with a balance of scientific rigor and strategic considerations

    4. Learn new tools, systems and languages quickly as required by the particular project you are working on

    5. Develop patent applications, white papers, conference presentations, and publications that are broadly appealing and accessible beyond a core scientific audience

    **Minimum Qualifications:**

    6. PhD in a quantitative field such as statistics, computer science, physics, or computational social science, or MS/MA degree with 4+ additional years of relevant experience

    7. First-author publications at peer-reviewed conferences (e.g. NeurIPS, ICML, JSM, KDD) or disciplinary journals

    8. Expertise in statistics (particularly causal inference and Bayesian inference) or deep learning (particularly ranking, retrieval and recommender systems), including addressing challenges from incomplete, unrepresentative, and mislabeled data

    9. Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets

    10. Expertise in Python, Julia, or R

    11. Proficiency in communicating analyses and establishing confidence among audiences who do not share your disciplinary background or training

    12. Track record of product or systems innovation, and strategic focus

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time

  • Research Scientist — Cryptography and Internet Technology
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    Our Statistics & Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, machine learning, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that millions of advertisers can benefit.

    We seek Research Scientists with demonstrated leadership experience and a track record of innovation to identify new opportunities and help build scientifically rigorous systems focused on enhancing technological guarantees for consumer privacy while simultaneously expanding the efficiency of Facebook’s market-leading advertising systems. Challenges include leveraging privacy-enhancing technologies such as multi-party computation, homomorphic encryption, federated analytics, and differential privacy to develop privacy-focused advertising solutions (private record-linkage, fraud prevention, reporting and experimentation, and collaborative inference) — all while maintaining performance at massive scale.

    **Required Skills:**

    1. Identify specific, high-impact research opportunities to develop new and improve existing privacy-preserving advertising solutions

    2. Design, develop and implement new methods or algorithms for privacy-preserving solutions. Assess the validity and rigor of new approaches

    3. Build cross-functional relationships with Engineering, Product, and AI teams to shape long-term product roadmaps with a balance of scientific rigor and strategic considerations

    4. Learn new tools, systems, and programming languages quickly as required by the particular project you are working on

    5. Develop patent applications, white papers, and publications that are broadly appealing and accessible beyond a core scientific audience. Publish research results in top-tier journals and at leading conferences

    **Minimum Qualifications:**

    6. PhD in computer science, engineering, cryptography, mathematics or a related field, or MS degree with 7+ years of relevant experience architecting privacy and security solutions

    7. Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets

    8. Experience with communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training

    9. Proven track record of innovation

    **Preferred Qualifications:**

    10. Expertise on one or more of the following core privacy/security concepts:

    11. Privacy technologies: e.g., homomorphic encryption, secure multi-party computation, federated analytics, trusted execution environments, data minimization, data anonymization, differential privacy

    12. Proficiency in C-family (e.g C++, Rust, Go), Python, or similar language

    13. Design and analysis of cryptographic algorithms and protocols, and/or their application to data protection and privacy, authentication, payments, or digital advertising

    14. Experience in privacy and data protection systems architecture and experience developing technical solutions to secure personal data across data infrastructures

    15. Web security (SQL injection, XSS, side channel attacks)

    16. Web services technologies (REST, SOAP, HTTP, JSON) and their application in relation to browser cookies and mobile device identifiers

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time

  • Research Scientist, Core ML
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    Facebook is seeking a Research Scientist to join our AI Research Team, a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent.

    **Required Skills:**

    1. Lead research to advance the science and technology of intelligent machines

    2. Lead research that enables learning the semantics of data (images, video, text, audio, speech and other modalities)

    3. Devise better data-driven models of human behavior

    4. Work towards long-term ambitious research goals, while identifying intermediate milestones

    5. Influence progress of relevant research communities by producing publications

    6. Contribute research that can be applied to Facebook product development

    7. Lead and collaborate on research projects within a globally based team

    **Minimum Qualifications:**

    8. Experience holding a faculty, industry, or government researcher position

    9. Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields

    10. Experience leading a team in solving modeling problems using AI/ML approaches

    11. Experience in theoretical and empirical research and for addressing research problems

    12. Experience communicating research for public audiences of peers

    13. Knowledge in a programming language

    14. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

    **Preferred Qualifications:**

    15. 1+ year(s) of work experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research

    16. Experience driving original scholarship in collaboration with a team

    17. First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)

    18. Experience in developing and debugging in C/C++, Python, or C#

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time

  • People Research Scientist, Program Evaluation
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    The People Analytics and Workforce Strategy (PAWS) team provides research-driven insights and recommendations to better attract, develop, motivate, and retain Facebook’s most important asset – our people. We’re looking for an experienced People Research Scientist, Program Evaluation to join our PAWS team. You will serve as a strategic and consultative partner with HR leadership and stakeholders, to determine whether our people programs, interventions and solutions, are meeting business needs and having impact across multiple workstreams. This role will involve designing and implementing strategies to measure aggregate program effectiveness and providing a systematic view of interventions and solutions related to recruiting, diversity, talent management, development and retention. You will also help develop and refine people processes and technology to make an exceptional workplace even better.We are looking for someone who has excellent communication, collaboration and interpersonal skills, and can effectively lead program evaluation research, particularly from a technical perspective. The ideal candidate will have strong quantitative skills, including predictive analysis. The candidate will also have knowledge of – and research design experience related to – program evaluation concepts, as well as experience with strategic and tactical execution of a team roadmap, partnering across teams, and a good understanding of processes related to the inter-relationships of HR programs and ecosystems.

    **Required Skills:**

    1. Apply your expertise in people research, quantitative analysis, and program evaluation to help Facebook recruit, select, grow, and retain talent

    2. In partnership with HR and business leadership, identify opportunities for research and evaluate program results against success metrics, to drive or re-engineer strategic decisions and program/process changes or improvements

    3. Direct interaction and stakeholder management with program owners, senior HR and business leaders to navigate program measurement considerations, and influence future program design and strategies

    4. Help identify and clarify critical people issues, deeply understand our people programs, processes, and strategies at Facebook in order to drive improvements

    5. Lead research planning and execution across projects in an efficient and scalable manner (e.g., road mapping, code sharing, automation of repetitive tasks, etc.)

    6. Leverage technical expertise to guide research design and perform statistical analyses

    7. Communicate statistical analyses and results, along with implications for employees and Facebook as a whole, to technical and non-technical audiences

    8. Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data and business issues

    **Minimum Qualifications:**

    9. PhD with 5+ years of experience, or MS with 8+ years of experience in a field people or decision research (e.g., organizational behavior, economics, sociology, or other degree related to program evaluation)

    10. Experience applying statistical methods such as linear and logistic regression, quasi-experimental research/causal inference techniques (e.g., propensity score matching, regression discontinuity), longitudinal analysis, or multilevel modeling

    11. Experience managing and analyzing data using tools such as SQL, R, or Python and experience troubleshooting others' analyses and code

    12. Experience communicating research findings to audiences with varying levels of technical knowledge

    13. Openness to feedback and self-awareness

    14. Experience coaching and developing people and teams

    **Preferred Qualifications:**

    15. 3+ years of experience evaluating people programs within a medium-to-large organization

    16. Experience leading quantitative research in two or more of the following areas: recruiting/hiring, choice/decision science, performance management, diversity, retention or program/training evaluation

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time

  • Applied Research Scientist, People Engineering
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    Facebook's People Engineering team develops and maintains scalable products that power future, current and past employees. We focus on 1) helping Facebook to find awesome new Facebookers and 2) once they join us helping them grow and develop their career. Our goal is to make Facebook the best place to work. We build internal tools, on areas like Recruiting, Performance, Engagement, Learning & Development, Internal Mobility, HR products and processes. The People Engineering Applied Research team is composed of applied quantitative and computational experts using machine learning, statistics and operations research to bring in step-level improvements in efficiency and scalability across the entire suite of People products. As a member of the team, you will play a key role in reimagining productivity by shipping transformative products that serve diverse aspects of the employees life. This is a position that is uniquely positioned to make a significant impact on the quality of both work and life for Facebook employees.

    **Required Skills:**

    1. Build pragmatic, scalable, and statistically rigorous scientific solutions for large scale enterprise problems by leveraging or developing state of the art machine learning and optimization methodologies on top of Facebook's unparalleled data infrastructure

    2. Work cross-functionally to define problem statements, collect data, build analytical models and deploy them at scale

    3. Build and maintain data driven machine learning models, optimization models, experiments and forecasting algorithms

    4. Apply excellent communication skills in order to develop cross-functional partnerships and spread scientific best practices

    5. Be able to work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value to Facebook's Enterprise Products

    6. Think creatively, proactively, and futuristically to identify new opportunities that will grow the enterprise product’s long-term roadmap and bring productivity gains for the enterprise

    **Minimum Qualifications:**

    7. Ph.D. or Masters degree in quantitative field (e.g. computer science, engineering, operations research, electrical engineering, statistics, mathematics and related fields)

    8. 2+ years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches

    9. Experience with machine learning, natural language understanding, computer vision, statistics or mathematical programming tools and techniques

    10. Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets

    11. Experience with at least one programming language (i.e. Python, R, Java, or C++)

    12. Experience writing SQL queries

    13. Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2

    14. Experience with machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano

    15. Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis

    16. Experience initiating and driving applied research projects to completion with minimal guidance

    17. Experience communicating scientific work in a clear and effective manner

    **Preferred Qualifications:**

    18. Experience working with distributed computing tools (Hadoop, Hive, Spark, etc.)

    19. Experience in object oriented programming such as Python, C++, Java

    20. Experience using deep learning, natural language processing or computer vision in a production environment

    21. Proficiency in algorithmic complexity

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time

  • Research Scientist - Statistics & Privacy (Cryptography and Internet Technology)
    Facebook    Phoenix, AZ 85067
     Posted 7 days    

    **Intro:**

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    **Summary:**

    Our Statistics & Privacy team focuses on establishing step-change improvements to advance our long-term business growth. The team's expertise spans many domains including statistics, machine learning, economics, and cryptography. We develop methodologies, design and prototype solutions, and partner with our engineering colleagues to launch these solutions such that millions of advertisers can benefit.

    We seek Research Scientists to identify new opportunities and help build scientifically rigorous systems focused on enhancing technological guarantees for consumer privacy while simultaneously expanding the efficiency of Facebook’s market-leading advertising systems. Challenges include leveraging privacy-enhancing technologies such as multi-party computation, homomorphic encryption, federated analytics, and differential privacy to develop privacy-focused advertising solutions (private record-linkage, fraud prevention, reporting and experimentation, and collaborative inference) — all while maintaining performance at massive scale.

    **Required Skills:**

    1. Identify specific, high-impact research opportunities to develop new and improve existing privacy-preserving advertising solutions

    2. Design, develop and implement new methods or algorithms for privacy-preserving solutions. Assess the validity and rigor of new approaches

    3. Build cross-functional relationships with Engineering, Product, and AI teams to shape long-term product roadmaps with a balance of scientific rigor and strategic considerations

    4. Learn new tools, systems, and programming languages quickly as required by the particular project you are working on

    5. Develop patent applications, white papers, and publications that are broadly appealing and accessible beyond a core scientific audience. Publish research results in top-tier journals and at leading conferences

    **Minimum Qualifications:**

    6. PhD in computer science, engineering, cryptography, mathematics or a related field with 2+ years of relevant experience, or MS degree with 6+ years of relevant experience architecting privacy and security solutions

    7. Proficiency designing and implementing analytical and/or algorithmic solutions, tailored to particular business needs and tested on large data sets

    8. Proficiency in C-family (e.g C++, Rust, Go), Python, or similar language

    9. Experience with communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training

    10. Proven track record of innovation

    **Preferred Qualifications:**

    11. Expertise on one or more of the following core privacy/security concepts:

    12. Privacy technologies: e.g., homomorphic encryption, secure multi-party computation, federated analytics, trusted execution environments, data minimization, data anonymization, differential privacy

    13. Design and analysis of cryptographic algorithms and protocols, and/or their application to data protection and privacy, authentication, payments, or digital advertising

    14. Experience in privacy and data protection systems architecture and experience developing technical solutions to secure personal data across data infrastructures

    15. Web security (SQL injection, XSS, side channel attacks)

    16. Web services technologies (REST, SOAP, HTTP, JSON) and their application in relation to browser cookies and mobile device identifiers

    **Industry:** Internet

    **Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


    Employment Type

    Full Time


Related Careers & Companies

(STEM) Science, Technology, Engineering & Mathematics

Not sure where to begin?

Match Careers with Interests

Career Exploration

Browse by Industry