Azpipeline_org

(STEM) Science, Technology, Engineering & Mathematics

Astronomers

Observe, research, and interpret astronomical phenomena to increase basic knowledge or apply such information to practical problems.

Salary Breakdown

Astronomers

Average

$88,640

ANNUAL

$42.62

HOURLY

Entry Level

$64,660

ANNUAL

$31.09

HOURLY

Mid Level

$84,500

ANNUAL

$40.63

HOURLY

Expert Level

$104,340

ANNUAL

$50.16

HOURLY


Current Available

Astronomers

105

Current Available Jobs


Sample Career Roadmap

Astronomers


Top Expected Tasks

Astronomers


Knowledge, Skills & Abilities

Astronomers

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

KNOWLEDGE

Physics

KNOWLEDGE

Mathematics

KNOWLEDGE

Computers and Electronics

KNOWLEDGE

English Language

KNOWLEDGE

Education and Training

SKILL

Science

SKILL

Reading Comprehension

SKILL

Critical Thinking

SKILL

Active Learning

SKILL

Writing

ABILITY

Deductive Reasoning

ABILITY

Inductive Reasoning

ABILITY

Mathematical Reasoning

ABILITY

Oral Comprehension

ABILITY

Written Comprehension


Job Opportunities

Astronomers

  • Data & Applied Scientist II
    Microsoft Corporation    Tempe, AZ 85282
     Posted about 4 hours    

    Are you passionate about using data to shape up the next generation of online payments experience? Are you interested in uncovering business insights from big data? Are you a professional in performing data sciences to solve real world problems? If so, then we have a unique opportunity for you. Microsoft’s Payments Analytics team is looking for a data scientist who is passionate about online commerce and is looking to contribute to enabling ecommerce capabilities for all of Microsoft’s consumer and enterprise online services. As Microsoft’s online business rapidly grows, you have a unique opportunity to work on products that impact everyone on the planet.

    We are looking for a data scientist who is excited to use data to answer hard problems, eager to work in a larger team of engineers and business stakeholders, and ready to make an impact on customers’ online experience. We hire people with diverse multi-disciplinary backgrounds, engineering and analytical skills, business experience, relentless curiosity, and a motivation to improve product quality and business outcomes with data. Our work is highly varied and offers abundant opportunities to focus on many different analytics techniques and aspects of Microsoft online business.

    **Responsibilities**

    Your responsibilities include:

    + Research, define, and develop new methods for analyzing and measuring the quality of product features and product releases.

    + Analyze data and study the system to supply meaningful insights into product/feature quality.

    + Design and conduct experiments to gain insights into the quality, health of products, and customer usage.

    + Cross-collaborate with engineering and business stakeholders on building complex analytical solutions, and effectively communicating the analysis and findings through interactive visualizations, documents, and presentations.

    + Influence across disciplines and teams, to ensure we are making data-driven decisions and solving real customer problems.

    To be successful you will need:

    + Excellent interpersonal, analytical, communication, and presentation skills - the ability to communicate complex findings in a simple manner.

    + Strong problem-solving skills with an emphasis on process and product improvement.

    + To enjoy discovering and solving problems; proactively seeking clarification of requirements and direction; being a self-starter who takes responsibility when required.

    + The ability to explore different directions based on data and be able to quickly change direction based on the analysis.

    **Qualifications**

    Required Qualifications:

    + 3+years of experience in a data science specialization, including statistical data analysis and/or A/B testing in consumer-facing and/or enterprise applications is required.

    + 3+years of experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets is required.

    Preferred qualifications:

    + Bachelors/Masters/PhD degree in Computer Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field.

    + Experience in specific phases of data analytics (extraction, analysis, manipulation, synthesis, summary, validation, testing, and maintenance) with the objective of solving business problems.

    + Proven ability and experience in using data science, statistical computing, and predictive analysis on large scale data.

    + Advanced data visualization experience is a plus.

    + Experience in managing ecommerce payments and risk systems is nice to have.

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


    Employment Type

    Full Time

  • Fraud Data Scientist
    Microsoft Corporation    Tempe, AZ 85282
     Posted about 4 hours    

    Are you interested in working on a state-of-art fraud detection system that protects billions of dollars in eCommerce transactions each year? Are you excited about working with talented engineers, investigators, and scientists on offline big data analytics, fending off ever-changing fraud attacks on daily basis? If so, please read on.

    The Commerce Engineering Operations group is at the center of online purchase and signup experiences at Microsoft, including Xbox, Microsoft Store, Office 365, Azure, Microsoft Ads, Surface Warranty and more. These lines of business rely on our team to protect against fraud while also ensuring a great experience for genuine customers.

    We are looking for a strong data scientist who is self-motivated and an excellent team player to manage the Risk system inline strategy for one or more of these businesses. The key focus is fraud data analytics, managing the automated rule strategy, and usage of our ML models, but the role is also part investigator, part program manager, part negotiator, and part firefighter. Creativity, passion, leadership, and tenacity are necessary traits. Each day the team is presented with situations that require unique and well considered responses to foil relentless fraud attacks. We are the front line of defense for Microsoft’s large and growing ecommerce footprint. Because of this, we are looking for an ecommerce fraud expert with a strong data science background to join our team.

    **Responsibilities**

    **Responsibilities:**

    + Employe analytic techniques to determine ML model operating points and segmentation, devise and deploy rules, and implement other fraud strategy enhancements.

    + Analyze new data sources to find novel patterns, and continually refine our fraud monitoring, detection, and mitigation processes.

    + Collaborate with engineering and partner teams cross-company in support of implementing comprehensive fraud strategies.

    + Work independently to detect, investigate, and understand new emerging fraud vectors and vulnerabilities

    + Adhere to platform KPIs related to fraud and customer experience.

    **Qualifications**

    **Required Qualifications:**

    + 2+ years in a data scientist role experience using machine learning models.

    + 2 + years conducting transaction analytics and managing production system rule logic to mitigate ecommerce fraud.

    + 2+ years coding experience in any modern data science languages, python, spark, perl, sql, R, etc.

    + Degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Economics (Relevant work experience can substitute).

    **Preferred Qualifications:**

    + Excellent communication and collaboration skills.

    + Desire to learn and improve constantly Self-motivated, tenacious team player.

    + Ability to drive good decisions through data with great attention to detail and excellent logical problem-solving skills.

    + Familiarity with the whole life cycle for fraud model or transaction analytic model development and deploymentExceptional coding skills in one of the following C++, C# or Java.

    + Advanced working knowledge in Microsoft Azure platform for development and deployment.

    + Familiarity with the distributed computing systems like COSMOS, Hadoop, MapReduce, Spark, Databricks, HDInsight and/or similar systems.

    + Advanced data visualization skills in PowerBI or similar application.

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


    Employment Type

    Full Time

  • Principal Data & Applied Scientist
    Microsoft Corporation    Tempe, AZ 85282
     Posted about 4 hours    

    The Insights AI team, within Microsoft’s Digital Transformation Platform, is infusing AI capabilities within various Dynamics 365 Insights Applications, such as D365 Customer Insights, supply chain analytics, and process mining. The team builds advanced machine learning models on transactional, behavioral and market data that powers these insights. As a data scientist in the team, you will work on techniques to deliver insights on how customers can optimize their end-to-end supply chain, including, but not limited to, Bayesian and probabilistic models, reinforcement learning, constraint optimization & forecasting. You will work on large scale structured and unstructured data, apply state of the art techniques on real world datasets, and build and deploy these models using the latest cloud technologies. This is a fun and fast paced environment, where data scientists are empowered to innovate. It is also an amazing opportunity to join an ambitious project in its early stage with a tremendous scope to grow.

    **Responsibilities**

    As a data scientist in this team, you will be responsible for:

    + Formulating a real-world enterprise scenario into a machine learning problem and think of optimal ways of solving it

    + Data wrangling with large data sets on the cloud to understand the properties of the data

    + Transforming data into innovative features/signals that can improve a machine-learning tasks.

    + Participate in end-to-end machine learning model lifecycle, from prototyping, implementing & evaluating machine learning and deep learning models, followed by deployment and monitoring using Azure tools

    + Working in a team with other data scientists, engineers, UX experts to deliver an intuitive, robust solution to the customer

    + Lead and participate in design, implementation and execution of projects with a team of data scientists

    + Self-learning new techniques and advances in machine learning from textbooks and research papers and applying them to your problem.

    **Qualifications**

    **Required Qualifications:**

    + 6+ years of experience (or research projects in lieu of industry experience) in the areas of data science & machine learning leveraging Python, R, Matlab or related ML programming language

    + 1+ years of practical experience with modern techniques for solving optimization problems and using reinforcement learning algorithms or probabilistic models (such as Markov Chain Monte Carlo methods etc.)

    **Preferred Qualifacations:**

    + Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or related fields

    + Demonstratable skills and experience in driving projects end-to-end from conception to production

    + Knowledge and demonstrable skills in optimization & forecasting problems & probabilistic models (experience with reinforcement learning models is a plus)

    **\#DTPJobs #BAPJobs**

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .

    _Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:_

    **_Microsoft Cloud Background Check_** _: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter._

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


    Employment Type

    Full Time

  • Senior Data & Applied Scientist
    Microsoft Corporation    Phoenix, AZ 85067
     Posted about 4 hours    

    Does the challenge of solving real-world problems by digging into data using a variety of technologies (e.g., simulations, AI/ML) excite you? Are you interested in building AI solutions that will redefine Microsoft data center functions? Do you want to work on problems that impact the experience of millions of customers? Come and join us!

    The Cloud Applied Artificial Intelligence (CAAI) team within Cloud Operations and Innovations Engineering (CO+IE) is seeking a passionate and talented Senior Data and Applied Scientist. The CO+IE team provides engineering support to the CO+I organization, whose broad goals are to automate and optimize the planning, construction, operation and decommissioning of Microsoft Data Centers (DC) across the planet. CAAI’s mission is to identify and solve complex, high-impact problems that can augment and substantially improve CO+I operations and functions. The services our team provides includes scientific consulting, identification and mitigation of process/data gaps, and the development of pipelines, frameworks, and software products (mechanistic, statistical, AI/ML based) to automate and optimize CO+I business functions.

    As a data and applied scientist within the CAAI team, the candidate will work in a role filled with ambiguity and opportunities, in a domain that includes planning, construction, operation and decommissioning of DCs. The candidate will be involved with identifying business impacting questions, generating vision statements, providing scientific consulting/analysis and developing ML/AI based solutions to address these questions. The types of questions/problems that are likely to be encountered will require the derivation of insights from structured and unstructured data (e.g., text, images, video), and the use of a variety of techniques, algorithms and frameworks including NLP, time series analysis/forecasting, and computer vision. As such, the ideal candidate will have experience with each of these technologies or be interested in/excited about learning and expanding their horizons. The candidate can also expect to collaborate with a rapidly growing team of talented data scientists and software engineers to bring these solutions to life and substantially impact customer experience. If you are willing and capable of being a scientist-investigator, and love learning, playing with, and deriving insights from data, throw your hat in the ring.

    In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

    **Responsibilities**

    + Partner with business leaders and CO+IE team to identify business impacting questions that can be best addressed through the infusion of data science and applied ML/AI.

    + Develop vision statements that detail how business questions can be best solved.

    + Identify and fill gaps (e.g., in data streams) in the knowledge/information needed to answer business questions.

    + Develop ML/AI solutions to address business questions.

    + Partner with CAAI teams (data scientists, software engineers) to bring solutions from prototype to successfully deployed products across Microsoft’s data centers.

    **Qualifications**

    + Demonstrated ability to iterate on and to develop business impacting questions.

    + 5+ yrs. experience in applied data science and in deploying machine learning/deep learning models in production.

    + Expertise with Python and experience with other scripting languages (e.g., R, or similar).

    + Familiarity with libraries such as Pandas, Keras, Pytorch, Scikit-learn etc.

    + Strong verbal and written communication skills (e.g., demonstrated ability to present to different leadership levels, craft proposals).

    **Preferred qualifications:**

    + Master’s degree or higher in Computer Science, Data Science, Engineering, Math, Applied Statistics, or related field.

    + Authoring of peer reviewed articles or papers in journals, conferences that leverage data science, ML/AI.

    + Strong software development, and SQL skills.

    + Expertise with time series analysis, natural language processing and/or computer vision.

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .

    Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

    \#COICareers

    \#COIEngCareers

    \#COIE_ECcareers

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


    Employment Type

    Full Time

  • Data Scientist
    Microsoft Corporation    Tempe, AZ 85282
     Posted about 4 hours    

    Do you want to shape the future of retail, gaming and media and entertainment through AI innovations? We are looking for a data scientist who will develop state-of-the-art machine learning techniques to elevate user and content experience to the next level in these industries.

    We are a fast-paced team within Azure Global focused on building Industry specific AI products. We are looking for an experienced data scientist with excellent problem-solving skills, and a passion to apply AI techniques to problems in the gaming domain.

    You will work with a global diverse team of data scientists and engineers that apply machine learning and deep learning techniques (ranging from recommendation systems, natural language processing, reinforcement learning and more) for customers in the above industry domains. You will be involved in incubating solutions and products for infusing AI in specific industries, from design to production.

    To be successful, you will need strong software skills, technical aptitude, communication skills and a collaborative work style. Preferably, you have domain expertise in one of the aforementioned industries. This is an excellent opportunity to challenge yourself and continuously grow new skills.

    **Responsibilities**

    In this role, you will collaborate with experts in machine learning and distributed systems. You will get to work on recommender systems, text and image mining & processing, forecasting and other advanced machine learning techniques. You will help develop machine learning models that will help make gaming experience more engaging and enjoyable.

    You will work on all aspects of the design, development and delivery of machine learning and deep learning solutions, including problem definition, data acquisition, exploration, training, testing, and evaluating machine learning models, and creating end-to-end pipelines and solutions in production.

    **Qualifications**

    REQUIRED QUALIFICATIONS

    + MS/BS in CS/EE/Applied Mathematics/Statistics/DS/ML or related fields.

    + 3+ years of professional experience working with machine learning libraries and real world data science problems.

    + 3+ years of professional experience in at least one scripting language (Python, NodeJS, Ruby, Perl).

    + Proficiency in one statically typed language (C#, Java, C, C++).

    + Excited to work on a diverse team.

    PREFERRED QUALIFICATIONS

    + Familiarity with a version control system

    + Experience in gaming industry

    + Experience working with deploying of machine learning models

    + Demonstratable experience with software engineering principles, parallel and distributed computing, statistics, machine learning, cloud technologies like Azure, AWS, Google Cloud, IaaS, PaaS and SaaS

    + Excellent analytical and problem-solving skills

    + Outstanding communication and collaboration skills

    + Strong research, theory, and algorithm background with the ability to apply advanced knowledge on real world challenges

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


    Employment Type

    Full Time

  • Senior Machine Learning Scientist
    Microsoft Corporation    Tempe, AZ 85282
     Posted about 4 hours    

    Participate in the future of computing by working on cutting-edge AI algorithms, accelerated hardware, and software. Our team's solutions are used by customers to build and run large artificial intelligence models more efficiently and at lower cost every day.

    Cloud Accelerated Systems & Technologies is looking for an Senior Machine Learning Scientist to join our multi-disciplinary team. Our work spans the stack from algorithms to silicon. As part of the team, you will be working on developing next-generation AI algorithms that make efficient use of available computing resources.

    Cloud Accelerated Systems & Technologies is a cross-discipline team of highly capable and motivated people in the Azure Hardware Architecture group with a collaborative culture and a strong track record of delivering strategic impact to Microsoft.

    \#azureahajobs

    **Responsibilities**

    We are looking for a Senior Machine Learning Scientist with a passion for cross-stack optimization in large scale systems. The hire needs to closely engage with SW/HW/DS stakeholders, be capable of performing cutting-edge research for efficient DL training/inferencing in the NLP domain, and lead pathfinding work on scale out systems.

    Day to day tasks may include:

    + Deep learning (NLP) workload analysis

    + Design & verification of new algorithms

    + Cross-stack collaboration & optimization

    + Implementing & evaluating various deep learning algorithms

    **Qualifications**

    **Required qualifications:**

    + A Masters' Degree or higher in CS, CE, Statistics or related area.

    + 1+ years of experience with Python, Tensorflow, PyTorch, or similar ML framework.

    **Preferred Qualifications:**

    + Proficiency in mathematical foundations behind ML such as linear algebra, multivariate statistics, and optimization.

    + Experience in natural language processing.

    + Familiarity with best practices in large scale DL training/inference.

    + Pragmatic attitude and ability to rapidly iterate and evolve ideas into practical implementations.

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


    Employment Type

    Full Time

  • Data & Applied Scientist II
    Microsoft Corporation    Tempe, AZ 85282
     Posted about 4 hours    

    **Do you have a passion for Data and Machine Learning?**

    **Do you dream of working with customers on their most forward-looking AI initiatives?**

    **Does the challenge of developing modern machine learning solutions to solve real-world business problems in the cloud sound exciting to you?**

    **You may be the Data & Applied Scientist we have been looking for!**

    The Commercial Software Engineering (CSE) (https://www.youtube.com/watch?v=hkSafeCoXfU&ab\_channel=TheDecodedShow) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges and transform their industries using cloud-based solutions. **We sit side-by-side with our customers to collaboratively innovate custom solutions tailored to solve their challenges.** In the process, we help shape the future of our own platforms by partnering with our product groups to improve them. We pride ourselves on making contributions to open source and make our platforms easier to adopt. Our work involves the development of high-impact software assets that contribute to the Microsoft platform that are broadly applicable.

    We are looking for a **Data Scientist** with strong analytical and development skills to join our expanding team. The ideal candidate has extensive expertise in machine learning and is passionate about creating business value through building robust and performant cloud-based solutions infused with AI. They should be comfortable with the end-to-end end-to-end ML/AI solutions development process, starting from understanding the customer business problem and ending with production implementation of machine learning pipelines. Don’t worry, we will never ask you to implement the entire ML system all by yourself. We will, however, expect you to be able to contribute to any of its parts. We don’t develop awesome models to see them wilt and die in a Jupyter notebook on someone’s laptop. Instead, we nurture them into production via a fully reproducible continuous delivery process reinforced by a battery of full lifecycle tests. If you’re the type of person who likes both the science and engineering aspects of machine learning, we want to talk to you!

    As a group, we work to build consensus with our teammates and customers. We’re looking for the sort of person who enjoys a culture that ensures that all voices and perspectives are heard and considered. Above all you’ll need to be inspired, and inspire others, by the potential of the future. If you want to chat informally about the role, please reach out to us.

    **Responsibilities**

    + Developing and deploying solutions with some of Microsoft’s largest customers for solving business problems using machine (deep) learning and predictive modeling techniques.

    + End-to-end execution of the ML/AI solution development process: from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation.

    + Providing technical recommendations in open source and Microsoft AI and Data technologies, ranging from helping our product teams understand product and technology gaps, through to navigating our customers to the right technology choices for their business.

    **Qualifications**

    We are seeking people who have experiences which reflect the qualifications below:

    Required Qualifications:

    + 2+ years of industry experience with machine learning algorithms for at least one of the following: classification, regression, clustering, reinforcement learning, dimensionality reduction. Expertise in one or more application domains of NLP, computer vision, time series modeling, including some knowledge of the concepts of taking projects to scale in the cloud.

    + 2+ years of experience in research and development of end-to-end ML/AI based solutions and systems.

    + Skilled in one of the following programming languages Python, Java, C#, C++.

    + Fluency in English.

    Preferred Qualifications:

    + Experience with Numpy, Pandas, Scikit-learn. Most of our work uses Python ML stack.Being also comfortable with R is a big plus.

    + Experience with agile development practices and Git version control. We build reproducible systems.

    + Experience with one or more of the DNN frameworks like TensorFlow or PyTorch. Many of our projects involve deep learning models.

    + Ability to communicate in business and technical settings. We need to be able to build models and explain to others how and why they work.

    + Enjoy travel and comfortable with regional travel up to 20%. We meet customers where they are, both technically and geographically. (Nobody is expected to travel for business until the COVID-19 pandemic is under control.)

    + Some experience with Spark, SQL, Graph stores, or NoSQL stores would be helpful. Many of our customers have a lot of data.

    + MS or PhD in Computer Science, EE, Statistics, Operations Research or equivalent technical field.

    + **This position can be located anywhere in the US within the Pacific time zone.**

    At Microsoft, we are seeking people who have a passion for the positive impact technology can have on the communities and for making a difference in the world. Within CSE, you will find a wide range of backgrounds, perspectives, and personal and cultural experiences which are vital to our success with our customers. It’s an informal and flexible work environment and you’ll be welcome to work from home, our offices, customer sites– wherever is best for you to get your job done. We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

    \#CSE-FY21

    \#CSEng


    Employment Type

    Full Time

  • Senior Data Scientist
    Microsoft Corporation    Tempe, AZ 85282
     Posted about 4 hours    

    Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We are building the Developer Relations, Content & Learning dream team! Our global team is maniacal about making the world amazing for developers, admins, citizen developers, students, and other technical roles coming from all backgrounds. We're excited to support and contribute to open-source platforms, tools, events, and processes. We’re spreading awareness of Microsoft technology and enabling our current and future customers to do what they love: write, code, and learn. This is the heart and soul of reinventing Microsoft’s relationship with our technical communities.

    We are looking for an experienced and motivated data scientist to join our data science team / insights and intelligence team. In this role, you will have ownership of high-visibility initiatives across our portfolio and will lead the generation of insights that drive our business. Expect to work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business!

    **Responsibilities**

    + Partner with stakeholders to define and execute the critical insights required to make informed business decisions

    + Be a hands-on technical lead who can own, drive, and develop insights from conception to release

    + Act as a catalyst for insights innovation, aligned to both tactical and strategic business insights efforts

    + Oversee the design of the data and technical architecture that ensures integrity and accuracy of data

    + Design, build, and maintain all business reporting and dashboards

    + Drive customer and business insights with focus and speed to enable the business to make timely business decisions

    + Manipulate and analyze complex, high-volume, high-dimensionality data from various sources using a variety of tools and data analysis techniques

    **Qualifications**

    **Required Qualifications:**

    + 7+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.

    + 4+ years experience using SQL, R or Python to implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models, etc.)

    + Bachelor’s degree or higher in an analytical area such as Computer Science, Management information Systems, Mathematics, Statistics, or similar field _OR_ equivalent 4+ years work experience.

    **Preferred Qualifications:**

    + Experience working with large, distributed data sets to derive actionable insight

    + Advanced skills in big data programming language

    + Experience working with Azure’s analytics stack - Data Lake, Data Explorer/Kusto, Storage, Data Factory, Synapse, Data Bricks would be a plus

    + Interpersonal communication and ability to leverage the data to tell a story

    + Previous web analytics, product analytics and or content analytics experience

    + Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.

    + Advanced degree in quantitative field.

    \#devrelawesomejobs

    Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

    - Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

    Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (https://careers.microsoft.com/us/en/accommodationrequest) .

    Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.


    Employment Type

    Full Time

  • Sr. Data Scientist
    Lincoln Financial Group    Phoenix, AZ 85067
     Posted about 8 hours    

    **Alternate Locations:** Work from Home (Excluding Colorado); Atlanta, GA (Georgia); Boston, MA (Massachusetts); Charlotte, NC (North Carolina); Dover, NH (New Hampshire); Fort Wayne, IN (Indiana); Hartford, CT (Connecticut); Omaha, NE (Nebraska); Phoenix, AZ (Arizona); Radnor, PA (Pennsylvania)

    **Work Arrangement:** Work from Home

    Relocation assistance is not available for this opportunity.

    **Level:** P4

    **Requisition #:** 66701

    **About The Company**

    Lincoln Financial Group, a Fortune 250 company with over 10,000 employees, provides advice and solutions that help empower Americans to take charge of their financial lives with confidence. Our core business areas — Life Insurance, Annuities, Retirement Plan Services and Group Protection — focus on supporting, preserving and enhancing over 17 million customer’s lifestyles and retirement outcomes.

    Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. The company had $238 billion in assets under management as of December 31, 2018.

    Ranked one of the Best Large Employers in America by Forbes magazine, Lincoln Financial Group makes a serious investment in our employees’ futures through a broad range of wealth accumulation and protection plans, health and wellness programs, and career development resources designed to help each individual reach their personal and professional goals.

    **Be Aware of Fraudulent Recruiting Activities**

    If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

    Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.

    **General Purpose of Job**

    Lincoln is seeking an experienced data scientist to drive the development and implementation of analytical solutions and training of junior team members within Lincoln’s Life Solutions. In this role, you will have the opportunity to directly support innovation in Life Solutions and partner with actuarial, IT, and fellow data scientists to tackle challenging initiatives aimed at revolutionizing insurance. You will leverage data science and business expertise to develop predictive models that will arm our stakeholders with best in-class tools to gain a competitive advantage!

    **Duties and Responsibilities**

    This position requires candidates with experience in data preparation and analysis, statistical methods and tools, and knowledge of insurance products.

    + Work extensively with key stakeholders across Life Solutions to understand business needs, vet opportunities, and deliver analytically-based solutions and tools to drive business results.

    + Provide expertise and collaborate with stakeholders to define data collection and analysis requirements and establish adequate business understanding to provide effective analysis.

    + Identify, compile, and mine data from a wide variety of data repositories using SQL, Python, Dataiku, DataRobot, and Tableau. Validate data accuracy and confirm data quality.

    + Complete end to end modeling, specifically building processes including data collecting and cleaning, feature extraction and reduction, missing value handling, robust predictive modeling measurement and methodologies, model deployment, and model maintenance.

    + Design and execute analytic plans. Generate insights and inform business decisions using advanced analytical techniques.

    + Translate quantitative analyses and findings into accessible visuals for non-technical audiences, clearly interpret the data and effectively communicate findings and insights to senior executives, managers, and key stakeholders.

    **Education and Experience**

    + Minimum 5-7+ years of related experience, preferably modeling in insurance or health fields.

    + 4 Year Bachelor's degree in Mathematics, Natural Sciences, Economics, Computer Science, Engineering, Statistics, or Information Systems required.

    + MS or PhD degree in Mathematics, Natural Sciences, Economics, Computer Science, Engineering, Statistics, or Information Systems preferred.

    + Knowledge of insurance principles is a plus.

    + Broad understanding of core statistical and ML techniques with prior experience analyzing data and building models in a statistical programming language (Python preferred).

    + Ability to quickly grasp new concepts and technologies and adapt to changes and demands in fast-paced, dynamic environment, including drawing conclusions and making decision from imperfect and disparate datasets.

    + Strong analytical, strategic, project management, decision-making and problem-solving skills.

    + Strong relationship management skills with internal clients (e.g. senior management, peers and colleagues); proven ability to develop creative and collaborative approaches.

    + Curiosity and demonstrated capability to quickly learn new concepts.

    + Flexibility and rapid adaption to the changing business environment and priorities.

    + Strong interpersonal skills with a collaborative style.

    + Strong project management leadership skills including, critical ability to coordinate and balance multiple projects in a time-sensitive environment, under pressure, and meeting deadlines.

    + Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Teams).

    Work Arrangement:

    Work from Home : Employees will work fully from home. Their job will not require the employee to come into the office, unless for special circumstances.

    This position may be subject to Lincoln’s Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

    Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial Group are considered property of Lincoln Financial Group and are not subject to payment of agency fees.

    Lincoln Financial Group (“LFG”) is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, sexual orientation, gender identity and expression, veterans status, or genetic information. Applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.

    \#[[customString5

    Lincoln Financial Group ("LFG") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, sexual orientation, gender identity and expression, veterans status, or genetic information. Opportunities throughout LFG are available to employees and applicants and are evaluated on the basis of job qualifications. We have a drug free work environment and we perform pre-employment substance abuse testing.


    Employment Type

    Full Time

  • Data Scientist
    ICF    Phoenix, AZ 85067
     Posted about 17 hours    

    We are looking for a candidate with strong data engineering, statistics, machine learning, and predictive modeling skills to join our team. In addition, you will perform data analyses summarizing trends and modeling impacts for both internal and external clients.

    While these roles are currently remote, once restrictions are lifted, reporting to our corporate offices may be an option.

    What you’ll be doing:

    + Design and develop statistical analyses, visualize the output of statistical models, present and interpret the output of predictive models, and perform quality assurance tasks on model code and output.

    + Identify important and interesting questions about large datasets, then translate those questions into concrete analytical tasks.

    + Build quantitative models with data, and communicate the results of those models to stakeholders

    + Help conceptualize, as well as perform, data analyses to summarize trends

    + Develop and execute database queries that in turn support developing/formatting modeling inputs

    What you must have:

    + Bachelor’s degree in a technical field: Computer Science, Engineering, or related discipline

    + US Citizenship or Green Card. Employment must be compliant with eligibility for Public Trust due to Government Contract

    + 3 or more years’ experience with modeling and quantitative analysis using standard statistical software such as R, Python, SAS

    + 1 or more years’ experience working with any major cloud services (experience preferred with Sagemaker, Python, EMR, Spark, NLP or similar)

    + 1 or more years’ experience with anomaly detection, graph theory, deep learning principles and practices.

    + 1 or more years’ experience in SQL and DB programming

    What we’d like you to have:

    + Ability to obtain a security clearance

    + Experience with Deep Learning capabilities

    + Experience with data warehouse design and development as well as data modeling for both relational and dimensional data models

    + Experience in reporting, story-telling and data visualization technologies such as Tableau, Shiny, Bokeh

    + Demonstrated experience showing strong critical thinking and problem-solving skills paired with a desire to take initiative

    + Excellent listening, written, and oral communication skills

    + Ability to exercise independent judgment while effectively prioritizing and executing tasks while under pressure

    + Team player with the ability to work in a fast-paced environment

    Working at ICF

    Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. If you’re seeking to make a difference in the world, visit www.icf.com/careers to find your next career. ICF—together for tomorrow.

    We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy (https://www.icf.com/legal/equal-employment-opportunity) .

    COVID-19 Policy: New or prospective U.S. employees must provide proof of complete vaccination on the date of their commencement of employment. If selected for employment, you will provide proof of your full vaccination status, defined as vaccinated two weeks after receiving the requisite number of doses of a COVID-19 vaccine approved or authorized for emergency use by the FDA.

    Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email icfcareercenter@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about non-discrimination: EEO is the law (https://www.eeoc.gov/sites/default/files/migrated\_files/employers/poster\_screen\_reader\_optimized.pdf) and Pay Transparency Statement (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp\_English\_unformattedESQA508c.pdf) .

    DC Remote Office (DC99)Need help? We're here:ICFCareerCenter@icf.com

    About ICF

    ICF (NASDAQ:ICFI) is a global consulting services company with over 7,000 full and part-time employees, but we are not your typical consultants. At ICF, business analysts and policy specialists work together with digital strategists, data scientists and creatives. We combine unmatched industry expertise with cutting-edge engagement capabilities to help organizations solve their most complex challenges. Since 1969, public and private sector clients have worked with ICF to navigate change and shape the future. Learn more at icf.com.


    Employment Type

    Full Time


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