CrawlJobs Logo

Data Scientist - Compete

United States, Redmond 100600.00 - 199000.00 USD / Year · Job Posted January 29, 2026
Apply Position
Job Link Share

Job Description

Are you a data professional deeply interested in the current race in AI? Come join us! We are looking for a Data Scientist to support Compete. We help quantify how Microsoft products are performing relative to the broader marketplace e.g. market share across a variety of metrics. We use a wide combination of data sources (1P, 3P, public, surveys, panels, etc) and science models to produce our estimates. As a business facing team, interest and ability to connect product and strategy hypotheses back to data and qualitative factors is central to the role. AI is a big focus, both as a competitive space (e.g. Copilot, ChatGPT, Gemini, Claude, etc) and because we are actively integrating AI into our daily workflows. Join over 150 data scientists on the broader horizontal IDEAs team where data science, engineering, and PM work together to support multiple business and product verticals at scale! In this role you will both support stakeholders directly and work with the broader IDEAs team to scale your solutions across Microsoft. We play a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft’s success in the evolving AI landscape.

Job Responsibility

  • Business Understanding, Impact, and Management
  • Data Preparation and Understanding
  • Coding and Debugging
  • Customer/Partner Orientation
  • Industry and Research Knowledge / Opportunity Identification
  • Modeling and Statistical Analysis

Requirements

  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
  • OR equivalent experience
  • 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

Nice to have

  • Longer job experience than the minimum required
  • Experience writing SQL queries
  • Experience supporting software products and metrics (e.g. active usage)
  • Experience directly supporting business stakeholders
  • Experience working with product and engineering to scale your solutions

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Scientist - Compete

8 matching positions

Lead Data Scientist - Clinical Informatics (Clinical Data Standards)

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , New York
Salary
Salary:
130295.00 - 260590.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Deep expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
  • Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
  • Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data, including CCD data, with deep understanding of how to structure and apply this data to solve healthcare problems
  • Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization
  • Develop and govern the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases
  • Enable self-service analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data
  • Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets
  • Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders
  • Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives
  • Lead and mentor data scientists, data analysts, and data engineers, providing guidance on clinical data interpretation, appropriate use, and best practices for working with healthcare data
  • Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability
  • Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data
What we offer
What we offer
  • Medical, dental, and vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • CVS Health bonus, commission or short-term incentive program
  • Award target in the company’s equity award program
  • Fulltime
Read More
Arrow Right
New

Data Scientist

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!
Location
Location
Japan , 東京23区
Salary
Salary:
7000000.00 - 12000000.00 JPY / Year
https://www.randstad.com Logo
Randstad
Expiration Date
February 29, 2028
Flip Icon
Requirements
Requirements
  • MIN 5+ years of experience in advanced analytics roles within companies, delivering successful business outcomes
  • Able to communicate efficiently in both Japanese and English with technical and business stakeholders
  • Proficiency in quantitative methods and business analytics, with strong problem-solving skills
  • Ability to build and apply data models using machine learning techniques such as classification, regression, clustering, time-series analysis, and dimensionality reduction
  • Competent in programming with tools like Python and SQL
  • Strong understanding of data visualization tools, especially PowerBI
  • Experience with CI/CD, MLOps, and cloud platforms like Azure for deploying analytics and ML solutions
  • Hands-on experience with data analytics tools and libraries such as Pandas, PySpark, and AzureML
  • Background in financial or insurance domain, particularly in operations and marketing
Job Responsibility
Job Responsibility
  • WFH flexibility! Up to 4 days/week!
  • Global Environment!
  • Competitive salary!
What we offer
What we offer
  • 健康保険
  • 厚生年金保険
  • 雇用保険
  • 土曜日
  • 日曜日
  • 祝日
  • Fulltime
Read More
Arrow Right
New

Sr. Data Scientist

At Vodafone, we’re not just shaping the future of connectivity for our customers...
Location
Location
Egypt , Giza
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's (or equivalent) in quantitative fields like Mathematics, Statistics, Computer Science or Engineering
  • Minimum of 3 years of relevant experience with a focus on advanced analytics and predictive modelling
  • Competent in machine learning principles, deep learning and generative AI techniques
  • Proficient in statistical packages and ML libraries (e.g. Python SciPy and Tensorflow, Spark MLlib)
  • Familiar with leading visualisation tools (e.g. Tableau, Spotfire, Power BI)
  • Familiar with implementing data transformations and algorithms in common programming languages
  • Strong communication skills with prior experience communicating analytics results to senior management
  • Excellent command of English
Job Responsibility
Job Responsibility
  • Identifying business opportunities to make a commercial difference
  • Leads the development of analytics initiatives to meet business requirements
  • Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
  • Recognised as an expert in the community, mentoring and advising colleagues on statistical techniques, algorithms and data sources
  • Works closely with Technology teams to design, build, test, deploy, maintain and improve technology solutions and models
  • Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Advanced Analytics
  • Spread Design Thinking and Agile methodologies
  • Fulltime
Read More
Arrow Right

Spatial Data Scientist

The role sits at the intersection of economics, spatial data science, and geospa...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
oxfordeconomics.com Logo
Oxford Economics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Degree in economics, geography, data science, statistics, or a closely related discipline (postgraduate preferred)
  • Strong proficiency in Python for spatial data analysis. Experience working with packages like geopandas, shapely, polars, folium, duckdb, OSMnx and developing modern version-controlled workflows using Git or similar systems
  • Experience working with vector/raster data, spatial indexing, and coordinate reference systems Experience building reproducible analytical workflows and data pipelines
  • Knowledge of socioeconomic concepts relevant to sub-national analysis is highly desirable
  • Experience working with APIs, cloud-hosted datasets, or large tabular/geospatial data at scale
  • Competent with data visualisation tools
  • Strong written communication: ability to distil technical results into clear, accessible outputs
  • Ability to manage own workload across multiple concurrent projects
  • Genuine interest in cities, regions, urban economics, location intelligence, or related fields
Job Responsibility
Job Responsibility
  • Design and build spatial economic models to analyse urban economic performance, spatial disparities, and geographic drivers of economic activity
  • Contribute to the development of city, regional, and sub-national forecasting methodologies
  • Build and maintain Python-based data pipelines to process, integrate, and analyse large geospatial datasets
  • Work with a wide range of data sources, such as Census data, satellite-derived indicators, global buildings and transport datasets, administrative boundaries, and Oxford Economics forecasts
  • Apply machine learning techniques for classification and regression tasks on spatial and economic data
  • Conduct advanced spatial analyses, like geographically weighted regression, spatial autocorrelation analysis, and spatial autoregressive modelling
  • Support the development of scalable location intelligence products, digital tools, and analytical workflows
  • Contribute to location intelligence tools and products, including map-based visualisations and interactive dashboards
  • Prepare clear written outputs to communicate technical findings to non-specialist audiences
  • Collaborate across the Cities Team and with other Oxford Economics teams on cross-functional projects
What we offer
What we offer
  • Private Healthcare
  • Employee Assistance Program
  • Enhanced Maternity and Paternity Leave
  • Workplace Nursery Scheme
  • Cycle to Work Scheme
  • Hybrid/Flexible Working
  • Team Gatherings and Connection Boost
  • Fulltime
Read More
Arrow Right

Senior Data Scientist - Applied AI

Working at Uber means solving hard problems in a high-stakes, fast-moving enviro...
Location
Location
Brazil , Sao Paulo
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience (or Ph.D. equivalent) in an Applied Science, Machine Learning, or Data Science role
  • Specialized domain expertise in Ranking, Recommender Systems (RecSys), or Search
  • Proven experience in training and deploying Deep Learning models at scale within a production environment
  • Proficiency in Python and SQL with experience handling large-scale datasets using Spark, Hive, or PySpark
  • Solid understanding of statistical methods, experimental design, and A/B testing
  • BSc., M.S., or Ph.D. in Computer Science, Machine Learning, Statistics, Economics, or a related quantitative field
Job Responsibility
Job Responsibility
  • Design and implement ML models and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
  • Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
  • Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
  • Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
  • Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
  • Own your models end-to-end, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments
  • Fulltime
Read More
Arrow Right

Data Scientist - AI/ML

The Data Scientist will be part of a team building Stanford Health Care's (SHC) ...
Location
Location
United States , PALO ALTO
Salary
Salary:
79.21 - 104.97 USD / Hour
stanfordhealthcare.org Logo
Stanford Health Care
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments, and experience in processing and analyzing healthcare data
  • Experience developing, evaluating, and implementing machine learning models
  • Experience working with clinicians and researchers across disciplines to develop approaches for use in clinical care
  • Experience working in cloud environments or working in a healthcare organization
  • Graduate level understanding of techniques in machine learning, knowledge representation, and artificial intelligence along with a strong understanding of statistics
  • Knowledge of software development, machine learning, and technology infrastructure
  • Excellent verbal and written communication skills, strong interpersonal skills, along with demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks
  • PhD/MS degree in statistics, informatics or related field
  • PhD: Experience preferred
  • MS Degree: 4+ years of related experience with applied problems
Job Responsibility
Job Responsibility
  • Build, deploy and maintain AI and ML enabled care workflows
  • This includes working with others at SHC to design and develop solutions to the problems undertaken by the Data Science group
  • Evaluate tools, platforms and strategies used by the Data Science group to manage the lifecycle of building models from healthcare data
  • Train, develop, and validate researcher-built or vendor provided machine learning algorithms on hospital data with strong quality control checks and bias assessments
  • Fulltime
Read More
Arrow Right

Lead Data Scientist - Clinical Informatics (Claims Specialization)

We’re building a world of health around every individual — shaping a more connec...
Location
Location
United States , Work at Home, New York
Salary
Salary:
130295.00 - 260590.00 USD / Year
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
June 29, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
  • Deep expertise in clinical data types and structures, including medical claims, pharmacy claims, lab results, clinical notes, and administrative healthcare data
  • Knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
  • Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
  • Proven ability to enable and support downstream data consumers through documentation, training, and consultative support
  • Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
  • Proficiency with SQL and experience working with large-scale healthcare datasets
  • Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
  • Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
  • Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences
Job Responsibility
Job Responsibility
  • Serve as a subject matter expert in clinical data, including claims, pharmacy, lab results, and clinical documentation
  • Design and maintain clinical data models, taxonomies, and classification frameworks
  • Develop and govern the claims data feature store
  • Enable self-service analytics by building well-documented, validated, and reusable data assets
  • Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines
  • Partner with clinical, operational, and business stakeholders to understand their data needs
  • Lead and mentor data scientists, data analysts, and data engineers
  • Establish data quality frameworks for clinical data
  • Translate clinical concepts into analytical frameworks
  • Collaborate with data engineering teams to inform data pipeline development
What we offer
What we offer
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • bonus, commission or short-term incentive program
  • equity award program
  • Fulltime
Read More
Arrow Right

Lead Data Scientist – GenAI & Traditional AI

Lead end-to-end AI experimentation and delivery across multiple parallel initiat...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of hands-on experience in AI/ML and data science experimentation with proven delivery outcomes
  • Demonstrated experience leading teams and guiding implementation of AI features end-to end
  • Strong experience working on multiple projects in parallel and handling competing priorities
  • Strong understanding of both proprietary and open-source model ecosystems and trade offs (cost, privacy, latency, deployment constraints)
  • Hands-on experience with RAG and agentic frameworks (design + implementation)
  • Ability to structure work into clear tasks, guide senior team members, and ensure high quality execution
  • Strong communication skills for client interactions, demos, and stakeholder alignment
Job Responsibility
Job Responsibility
  • Lead AI/ML solution design and implementation across multiple projects running in parallel
  • Break down complex AI use cases into well-defined tasks and milestones
  • guide Senior Data Scientists and cross-functional teams to successful delivery
  • Own experimentation strategy: dataset readiness, feature engineering, model selection, tuning, evaluation, and iteration loops
  • Ensure production-grade readiness: performance, reliability, scalability, cost-efficiency, and monitoring/observability requirements
  • Drive development of GenAI features using proprietary and open-source LLM ecosystems
  • Build and optimize RAG pipelines (chunking strategies, embeddings, retrieval, reranking, grounding, evaluation)
  • Design and implement agentic workflows using modern agent frameworks and tool integrations (planning, tool-use, multi-step execution, safety/guardrails)
  • Establish evaluation frameworks for GenAI quality (hallucination risk, faithfulness, relevance, latency, cost)
  • Lead classical ML initiatives including supervised/unsupervised learning, time series, NLP (non-LLM), recommendation, anomaly detection, etc., as applicable
  • Fulltime
Read More
Arrow Right