data scientist ii

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist II

AAA Auto Club Enterprises

As our Data Scientist II, you will act as an internal business consultant to help optimize every facet of this organization. You will solve problems and answer questions – using data – for other departments to help us reduce costs, reduce errors, and be a better organization for our 18 million members.
 
What You’ll Do
 
Every day, you will help solve business problems presented to us by stakeholders using data. You will get a scenario or problem, such as, “We need to reduce cycle times,” and then pull, analyze, and interpret data relevant to that scenario.
 You will pull data from SQL databases. You will analyze and interpret data using Python, R, or other tools. You will determine patterns or trends and their statistical significance to the problem. To visualize the data, you will use Tableau.
 Once you have done your analysis, paired with a data engineer, you will present your findings to the stakeholder and confirm, refute or simply acknowledge a hypothesis. Your work may be implemented or may develop into something else.
 This role is remote, but you must be able to report to the Coppell, TX, office for 2 collaboration days every month.
 
What You’ll Need
 
To thrive in this role, you must have a solid foundation of statistics and data analysis. You must be able to describe a project where you pulled data, analyzed it, identified trends or patterns, determined significance, and delivered insights or recommendations to the business. What was your approach? What tools did you use and why? Did you get to the root cause of the issue? Did you confirm or refute a hypothesis? You must be able to speak to your involvement and decisions at each stage.
 For pulling data, we use SQL so you must be proficient with this tool. To curate and analyze data, we use a variety of languages and programs: Python, R, and even Excel. You can choose whatever tool helps you best, but you must be proficient in either Python or R.
 Excellent communication skills and an attitude of flexibility are a must. Very often, we get into the data, and some aspect takes longer than we thought, or we have to pivot and change how we approach a problem. A dashboard works better than a model, perhaps. Then you have to explain to the stakeholder or the team why you made that change or why the deliverable is taking longer than expected. It’s all about being creative in your approach and communicating that frequently and clearly to people who may be less tech or data-savvy than you.
 You have worked previously with an Agile team or understand these concepts. You expect to participate in daily standup meetings, you’ll complete your projects or stories during our bimonthly sprints, and you’re ready to meet frequent deployment deadlines.
 
Remarkable benefits: 
<ul>
<li>Health coverage for medical, dental, vision</li>
<li>401(K) saving plan with company match AND Pension</li>
<li>Tuition assistance</li>
<li>PTO for community volunteer programs</li>
<li>Wellness program</li>
<li>Employee discounts (membership, insurance, travel, entertainment, services and more!)</li>
</ul>
Auto Club Enterprises is the largest federation of AAA clubs in the nation. We have 14,000 employees in 21 states helping 17 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1902, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.
 
"Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”
 
AAA is an Equal Opportunity Employer

Swiggy

<div>Job Profile: Data Scientist II
Location: Bangalore | Karnataka
Years of Experience: 2 - 5 
Data Science at Swiggy
Data Science and applied ML is ingrained deeply in decision making and product development at Swiggy. Our data scientists work closely with cross-functional teams to ship end-to-end data products, from formulating the business problem in mathematical/ML terms to iterating on ML/DL methods to taking them to production. We own or co-own several initiatives with a direct line of sight to impact on customer experience as well as business metrics. We also encourage open sharing of ideas and publishing in internal and external avenues 
What will you get to do here?<ul><li>
You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.</li><li>
You will mine and extract relevant information from Swiggy's massive historical data to help ideate and identify solutions to business and CX problems.</li><li>
You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.</li><li>
You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy's problem statements.</li><li>
You will publish and talk about your work in internal and external forums to both technical and layman audiences.</li><li>
Opportunity to work on challenging and impactful projects in the logistics domain</li><li>
Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems</li><li>
Develop and deploy machine learning and deep learning models</li><li>
Take ownership of projects from inception to delivery, ensuring high-quality and impactful results.</li></ul> 
What qualities are we looking for?<ul><li>
Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics, Operations Research</li><li>
with 2 to 6 years of industry/research lab experience</li><li>
Technically hands-on with deep dive expertise in applying ML to big data</li><li>
History of having shipped ML data products</li><li>
 Results-oriented team player with a strong sense of ownership</li><li>
 Experience working with software developers, product managers and overall SDLC</li><li>
 Experience in Deep Learning and previous experience in startups and/or product-based consumer/internet</li><li>
companies is preferred</li></ul> 
Visit our tech blogs to learn more about some the challenges we deal with:
https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6
https://bytes.swiggy.com/how-ai-at-swiggy-is-transforming-convenience-eae0a32055ae
https://bytes.swiggy.com/decoding-food-intelligence-at-swiggy-5011e21dbc86 
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.</div>

Data Scientist II View Jobs

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Description:
The Strategic Procurement &amp; Planning Division (SPPD) is hiring a Data Scientist to build the analytical tools, reporting systems, and data‑driven insights that enable Machine Sales &amp; Operations Planning across Caterpillar and its global dealer network. This role will play a critical part in advancing fact‑based decision‑making across the enterprise.
In this position, you will design and refine analytical models, build scalable and intuitive reporting solutions, and transform complex data into actionable insights that enhance our end‑to‑end planning processes. You will collaborate closely with business process owners, product groups, dealers, and cross‑functional teams to ensure our data products are accurate, trusted, and aligned with enterprise priorities.
Your work will directly support inventory optimization, demand planning, and order management, while strengthening operational performance across the value chain.
What You Will Do:<ul><li>
Collaborate with business stakeholders to understand informational needs, gather requirements, and translate them into analytical solutions that support strategic and operational decision‑making.</li><li>
Analyze large and complex datasets to identify trends, generate insights, and support Machine Sales &amp; Operations Planning activities.</li><li>
Develop scalable data pipelines and automated reporting solutions to efficiently collect, clean, transform, and prepare high‑volume data for analysis.</li><li>
Apply data quality best practices to ensure accuracy, consistency, and reliability of datasets and analytical outputs.</li><li>
Maintain clear documentation and reproducible code to minimize technical debt and support long‑term sustainability of analytical products.</li><li>
Build end‑to‑end automated reporting and analytics workflows that improve efficiency and reduce manual effort across the organization.</li><li>
Ensure high‑quality deliverables by developing test cases, validating results, and confirming robustness across data scenarios.</li><li>
Communicate analytical findings, insights, and recommendations clearly and effectively to senior leaders and key stakeholders, tailoring messages to both technical and non‑technical audiences.</li></ul>
What You Will Have:
<ul><li>Bachelor&rsquo;s degree in engineering, statistics, data science, or a related field with 4&ndash;5 years of professional experience; or a Master&rsquo;s degree with 2&ndash;3 years of experience; or a PhD in a relevant discipline.</li><li>
Proficiency with industry‑standard data engineering, analytics, and visualization tools&mdash;including Snowflake, SQL, Python, Power BI, and Power Automate&mdash;is required.</li></ul>
Top candidates will also have:
<ul><li>Experience driving innovation by embedding analytics and AI into digital product workflows, enhancing automation, decision‑making, and user experience</li><li>
Strong analytical and problem‑solving skills, with the ability to interpret complex datasets and identify actionable insights</li><li>
Ability to build clear, intuitive dashboards and visualizations that effectively communicate insights</li><li>
Strong communication skills, with the ability to translate technical findings into business‑focused recommendations</li><li>
Experience collaborating with cross‑functional teams and influencing decisions through data‑driven insights</li><li>
Solid understanding of data quality principles, data governance, and best practices for maintaining reliable datasets</li><li>
Ability to manage multiple priorities, work independently, and deliver high‑quality results in a fast‑paced environment</li><li>
Commitment to producing reproducible, well‑documented, and maintainable analytical work</li><li>
Curiosity, a continuous‑learning mindset, and a passion for solving complex business problems through data</li></ul><div>
Skill Descriptors 
Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. 
Level Working Knowledge:
 
<ul><li>Explains the basic decision process associated with specific statistics.</li><li>Works with basic statistical functions on a spreadsheet or a calculator.</li><li>Explains reasons for common statistical errors, misinterpretations, and misrepresentations.</li><li>Describes characteristics of sample size, normal distributions, and standard deviation.</li><li>Generates and interprets basic statistical data.</li></ul></div><div>
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. 
Level Extensive Experience:
 
<ul><li>Evaluates and makes contributions to best practices.</li><li>Processes large quantities of detailed information with high levels of accuracy.</li><li>Productively balances speed and accuracy.</li><li>Employs techniques for motivating personnel to meet or exceed accuracy goals.</li><li>Implements a variety of cross-checking approaches and mechanisms.</li><li>Demonstrates expertise in quality assurance tools, techniques, and standards.</li></ul></div><div>
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. 
Level Working Knowledge:
 
<ul><li>Approaches a situation or problem by defining the problem or issue and determining its significance.</li><li>Makes a systematic comparison of two or more alternative solutions.</li><li>Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns.</li><li>Identifies the major forces, events and people impacting and impacted by the situation at hand.</li><li>Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions.</li></ul> 
</div>Relocation is available for this position.
Posting Dates:
December 30, 2025 - January 8, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community.</div>

<div>Overview<div> 
Do you have a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you want to help shape the future of collaboration experience and personal computing, by helping direct where investments should happen? Does the thought of being able to influence the product in each stage of the lifecycle through insights &amp; predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you!
We are the Data &amp; Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics &amp; data science to inform decision making, drive product performance and maximize business impact through the power of Data Science and Analytics. In short, we thrive on data to solve high impact business problems for Windows!
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div> 
Responsibilities 
<div><ul><li>
Working closely with a variety of teams including senior leadership, product management, software engineers, design, User Research to understand the key business questions for customer-facing scenarios</li><li>
Identify instrumentation needs, define and set up metrics and OKRs, deeply analyze the data to identify insights and experiment ideas that move our business metrics.</li><li>
Design and execute on Growth Experiments, analyze results to identify key insights.</li><li>
Help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, and hypotheses and insights to drive growth.</li></ul></div> 

Qualifications 
Required Qualifications:<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li></ul>
Preferred Requirements:<ul><li>
Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting.</li><li>
Experience with Experiment Design and analysis.</li><li>
Demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress.</li></ul> 
#W+DJOBS 

 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Data Scientist- II

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
 </li>
 <li>
 Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
 </li>
 <li>
 Drive exploratory analysis to understand the ecosystem, user behaviour, and identify new levers to help move metrics and build models of user behaviours for analysis and product enhancements.
 </li>
 <li>
 Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
 </li>
 <li>
 Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
 </li>
 <li>
 Implement scalable machine learning algorithms that will be used in production on big data.
 </li>
 <li>
 Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization.
 </li>
 <li>
 Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
 </li>
 <li>
 Help define and track the appropriate key metrics for specific projects.
 </li>
 <li>
 Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
 </li>
 <li>
 You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
 </li>
 <li>
 Build and deploy retrieval augmented generation systems and other applications of large language models.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 6 - 8 years of experience in data mining, predictive modelling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
 </li>
 <li>
 Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
 </li>
 <li>
 Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
 </li>
 <li>
 1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
 </li>
 <li>
 Strong problem-solving and coding skills.
 </li>
 <li>
 Solid knowledge of AB testing, classic ML, and DL
 </li>
 <li>
 Solid understanding of recommendations, ranking, and retrieval.
 </li>
 <li>
 Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
 </li>
 <li>
 Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
 </li>
 <li>
 Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.
 </li>
 </ul>
</div>

Senior Data Scientist II

<div>
 
 Overview
 
 
 
 Overview
 
 
 With the rapid acceleration of AI and the need to deliver trustworthy, high-performing models, Microsoft&rsquo;s Customer Experience (CXP) Data Science team is driving innovation at scale! Our mission is to advance AI capabilities through rigorous evaluations, fine-tuning, and large-scale experimentation to create intelligent, personalized experiences for customers worldwide. The CXP Data Science team is seeking passionate AI practitioners and data scientists to join agile, cross-functional teams working on cutting-edge model evaluation frameworks, optimization pipelines, and experimentation platforms that power Microsoft&rsquo;s AI ecosystem.
 
 
 We are looking for an
 
 Applied AI Scientist II
 
 to join our team! As a member of the Customer Experience Data Science organization at Microsoft, you will help us accelerate the company&rsquo;s own AI transformation. You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsoft&rsquo;s sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges.
 
 
 
 This Role Offers The Opportunity To
 
 
 
 <ul>
 <li>
 Collaborate across a diverse team of data scientists, engineers, and product managers
 </li>
 <li>
 Deepen your expertise in the evolving AI and ML landscape
 </li>
 <li>
 Drive meaningful impact for thousands of Microsoft sales, marketing and support platform users
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
 </li>
 <li>
 Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
 </li>
 <li>
 Write robust, reusable, and extensible code to support analysis and modeling.
 </li>
 <li>
 Develop new ML and GenAI based models using advanced statistical, ML and LLM techniques.
 </li>
 <li>
 Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
 </li>
 <li>
 Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications
 
 
 
 Required/Minimum Qualifications (RQs/MQs)
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Expertise in Python , PySpark, and SQL, LLMs
 </li>
 <li>
 Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Machine Learning, Data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <ul>
 <li>
 OR master&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ year(s) related experience
 </li>
 <li>
 OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience
 </li>
 </ul>
 <li>
 Experience in Spark and ability to write/maintain/understand declarative Spark code and to cleanly write and maintain SQL. Knowledge of finer operational aspects of Spark such as setting optimal cluster size, executor memory, number of executors etc. and experience in Azure Synapse/Databricks (or similar).
 </li>
 <li>
 Expertise in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
 </li>
 <li>
 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data & Applied Scientist II

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