CrawlJobs Logo

Data Science

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
United States , Redmond

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

119800.00 - 234700.00 USD / Year

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 storyteller to support the IDEAS Data Science team. As translators and advisors, we help communicate the “What if” of what IDEAS Data Science has created as a “single source of truth” by connecting the quantified metrics to the executive action required for business e.g. competitive imperative given 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:

  • Be a translator and Advisor: Business Understanding and able to leverage consulting skills to communicate the “What if” that can influence outcomes
  • Primary role is to be a “force multiplier” of the data science work and connect the metrics and data findings to what actions business needs to make
  • Describes the primary objectives of the team from a business perspective. Collaborates with internal cross-functional stakeholders to understand business needs
  • Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints
  • Engages business stakeholders to capture and shape their thinking on data-driven methods. Leads customer conversations to understand, define, and solve business problems. Influences stakeholders by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics
  • Data Preparation and Understanding. Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers
  • Coding and Debugging. Being able to code and debug is useful but not essential. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team
  • Customer/Partner Orientation. Applies a customer-oriented focus by understanding customer needs and perspectives. Builds trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data
  • Industry and Research Knowledge / Opportunity Identification. Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develops an understanding of work being done across teams to propose potential collaboration efforts. Coaches and provides support to execute strategy. Leverages capabilities within existing systems
  • Modeling and Statistical Analysis. Breaks down complex statistics and machine learning topics into manageable topics to explain to executives / customers

Requirements:

  • 7+ years experience in data science, research, marketing or business-related roles OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 6+ years experience in data science, research, marketing or business-related roles OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 4+ years experience in data science, research, marketing or business-related roles
  • 5+ years of hands-on research experience including designing and executing complex data-storytelling projects from start to finish
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • 5+ years of Consulting experience, or 6+ years of significant corporate strategy experience or 9+ years experience in data science, research, marketing or business-related roles OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 8+ years experience in data science, research, marketing or business-related roles OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 7+ years experience in data science, research, marketing or business-related roles OR Doctorate Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 5+ years experience in data science, research, marketing or business-related roles
  • 5+ years experience working with decision makers to define need and scope research to answer questions
  • 5+ years creating content that conveys a simple, clear message

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Science

Freelance Lecturer in Computer Science, Data Science, and Mathematics

We are looking for a new colleague to join our faculty in Potsdam and Berlin on ...
Location
Location
Germany , Potsdam, Berlin
Salary
Salary:
Not provided
gusgermany.com Logo
GUS Germany GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 2 years of relevant teaching or industry experience, with proven expertise in one or more of the listed subject areas, ideally in an international context
  • Demonstrated practical proficiency with modern programming languages, frameworks, and state-of-the-art tools and technologies commonly used in the industry
  • Excellent English language skills
  • Strong intercultural communication skills and a student-centered approach to teaching
  • Residence and legal authorization to work in Germany
Job Responsibility
Job Responsibility
  • Deliver high-quality teaching in assigned courses across Bachelor's and Master's degree programmes
  • Design and update course syllabi, materials, assessments, and digital resources
  • Supervise theses and student research projects
  • Conduct applied research and contribute to the university's academic output
  • Engage in academic advising and mentoring of students
  • Participate in curriculum development and quality assurance initiatives
  • Collaborate with international partners and industry stakeholders
  • Contribute to the broader academic community at Gisma through committee work and events
What we offer
What we offer
  • Opportunity to work with a great team in a dynamic and international culture
  • A workplace in our modern, centrally located campus in Potsdam
  • Numerous campus events from the fields of art, culture, business, and science
  • Opportunity to develop and implement new ideas and concepts
  • Personal and professional development
  • Parttime
Read More
Arrow Right

Data Science Lead, Guest Funnel Science

This tech lead will be at the core of using AI and casual inference to understan...
Location
Location
United States
Salary
Salary:
194000.00 - 240000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Causal inference expertise with marketplace experience
  • Preferred domain experience in search, UX discovery, personalized evidence systems
  • Advanced degree in Computer Science, Statistics, Econometrics or related field
  • 9+ years of industry experience with a PhD (or 12+ years with a Masters)
  • Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience
  • Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL
  • Comfort with developing proof-of-concept prototypes
  • Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems
  • Proven ability to succeed in both collaborative and independent work environments
  • Demonstrated willingness and track record of engagement with the technical community
Job Responsibility
Job Responsibility
  • Learn: Develop deep understanding of how guests navigate and re-engage with our app via analysis, research, and by leveraging granular user action and sequence datasets
  • Partner: With product and engineering, drive technical frameworks and science leadership to explore innovative paradigms for detecting revealed preferences and quantifying online frictions
  • Build: Write code for prototypes to detect and quantify taxonomy of guest preferences via iterative development of data frameworks, models and artefacts derived from AI toolkits
  • Evaluate: Assess assumptions and efficacy of derived guest preferences via measurement and validating hypotheses linked to online guest action and engagement. Setup experiments and data feedback loops to own a high bar over continuous impact
  • Influence: Regularly present findings and recommendations to leadership audiences to inform strategy and cross-functional deliverables
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

Data Science Graduate

Designs, develops and applies programs, methodologies and systems based on advan...
Location
Location
United States , Spring
Salary
Salary:
60800.00 - 181200.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Data Science, Statistics, Operations Research, Computer Science or equivalent
  • Typically 0-2 years experience
  • Basic knowledge of data science methodologies
  • Basic understanding of business requirements and data science objectives
  • Basic data mapping, data transfer and data migration skills
  • Basic understanding of analytics software (eg. R, SAS, SPSS, Python)
  • Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
  • Basic communication and presentation skills
  • Basic data knowledge of relevant data programming languages
  • Basic knowledge of data visualization techniques
Job Responsibility
Job Responsibility
  • Participates in the analysis and validation of data sets/solutions/user experience
  • Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
  • May load data into the infrastructure and contributes to the creation of the hypothesis matrix
  • Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
  • Contributes to building models for the overall solution, validates results and performance
  • Contributes to the selection of the model that supports the overall solution
  • Supports the research, identification and delivery of data science solutions to problems
  • Supports visualization of the model's insights, user experience and configuration tools for the analytics model
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Fulltime
Read More
Arrow Right

Data Science Graduate

Designs, develops and applies programs, methodologies and systems based on advan...
Location
Location
United States , Ft. Collins
Salary
Salary:
64500.00 - 157500.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
July 06, 2026
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Data Science, Statistics, Operations Research, Computer Science or equivalent
  • Typically 0-2 years experience
  • Basic knowledge of data science methodologies
  • Basic understanding of business requirements and data science objectives
  • Basic data mapping, data transfer and data migration skills
  • Basic understanding of analytics software (e.g. R, SAS, SPSS, Python)
  • Basic knowledge of machine learning, data integration, and modeling skills
  • Basic knowledge of ETL tools (e.g. Informatica, Ab Initio, Talend)
  • Basic communication and presentation skills
  • Basic data knowledge of relevant data programming languages
Job Responsibility
Job Responsibility
  • Participates in the analysis and validation of data sets/solutions/user experience
  • Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
  • May load data into the infrastructure and contributes to the creation of the hypothesis matrix
  • Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
  • Contributes to building models for the overall solution, validates results and performance
  • Contributes to the selection of the model that supports the overall solution
  • Supports the research, identification and delivery of data science solutions to problems
  • Supports visualization of the model's insights, user experience and configuration tools for the analytics model
What we offer
What we offer
  • Health & Wellbeing benefits
  • Personal & Professional Development programs
  • Unconditional Inclusion environment
  • Fulltime
Read More
Arrow Right

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...
Location
Location
United States , Chicago
Salary
Salary:
84836.00 - 153548.75 USD / Year
adtalem.com Logo
Adtalem Global Education
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
  • 7+ years Experience in data science or analytics roles
  • 3+ years Experience leading technical teams and employees, either through direct People Management or through projects
  • Demonstrated success with agentic workflows and GenAI in data science product solutions
  • Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
  • Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
  • Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
  • Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
  • Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
  • Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
Job Responsibility
Job Responsibility
  • Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
  • Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
  • Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
  • Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
  • Oversee the development of machine learning models, statistical analyses, and predictive algorithms
  • Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
  • Ensure model quality, performance, and reliability through robust validation and testing frameworks
  • Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
  • Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
  • Translate analytic findings into simple, actionable, and practical solutions and recommendations
What we offer
What we offer
  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Adtalem’s Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
  • Eligible to participate in an annual incentive program
  • Fulltime
Read More
Arrow Right

Data Science Intern

This role has been designed as ‘Hybrid’ with an expectation that you will work o...
Location
Location
United States , Spring
Salary
Salary:
35.00 - 46.00 USD / Hour
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field
  • Basic knowledge of data science methodologies
  • Basic understanding of business requirements and data science objectives
  • Basic data mapping, data transfer and data migration skills
  • Basic understanding of analytics software (eg. R, SAS, SPSS, Python)
  • Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
  • Basic communication and presentation skills
  • Basic data knowledge of relevant data programming languages
  • Basic knowledge of data visualization techniques
Job Responsibility
Job Responsibility
  • Participates in the analysis and validation of data sets/solutions/user experience
  • Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
  • May load data into the infrastructure and contributes to the creation of the hypothesis matrix
  • Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
  • Contributes to building models for the overall solution, validates results and performance
  • Contributes to the selection of the model that supports the overall solution
  • Supports the research, identification and delivery of data science solutions to problems
  • Supports visualization of the model's insights, user experience and configuration tools for the analytics model
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Data Science Intern

Designs, develops, and applies programs, methodologies, and systems based on adv...
Location
Location
United States , Ft. Collins
Salary
Salary:
35.00 - 46.00 USD / Hour
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
May 26, 2026
Flip Icon
Requirements
Requirements
  • Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field
  • Basic knowledge of data science methodologies
  • Basic understanding of business requirements and data science objectives
  • Basic data mapping, data transfer and data migration skills
  • Basic understanding of analytics software (eg. R, SAS, SPSS, Python)
  • Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend)
  • Basic communication and presentation skills
  • Basic data knowledge of relevant data programming languages
  • Basic knowledge of data visualization techniques
Job Responsibility
Job Responsibility
  • Participates in the analysis and validation of data sets/solutions/user experience
  • Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives
  • May load data into the infrastructure and contributes to the creation of the hypothesis matrix
  • Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses
  • Contributes to building models for the overall solution, validates results and performance
  • Contributes to the selection of the model that supports the overall solution
  • Supports the research, identification and delivery of data science solutions to problems
  • Supports visualization of the model's insights, user experience and configuration tools for the analytics model
What we offer
What we offer
  • Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
  • Specific programs catered to helping reach career goals
  • Unconditional inclusion and flexibility to manage work and personal needs
  • Fulltime
Read More
Arrow Right

Manager, Data Science

The Manager, Data Science role at T-Mobile involves managing data science initia...
Location
Location
United States , Overland Park
Salary
Salary:
133800.00 - 241400.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree required in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field
  • Master’s Degree preferred in similar fields
  • 4+ years of experience in implementing data science-driven solutions
  • 2+ years of management experience or leading/coaching a data science team
  • 4+ years of experience with data querying, wrangling, cleaning, and feature engineering
  • 4+ years of experience with Python, Databricks, R, and other predictive modeling tools
  • 4+ years of experience working with relational databases using SQL
  • 4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions
  • Mathematics: Calculus, linear algebra, statistics, and probability
  • Programming expertise in Python and SQL
Job Responsibility
Job Responsibility
  • Lead the development of major data science initiatives from problem framing to deployment and performance measurement
  • Hire, develop, manage, and retain a team of data scientists
  • Collaborate with cross-functional teams to solve business problems using data science techniques
  • Continuously improve data science operations to optimize efficiency and create scalable solutions.
What we offer
What we offer
  • Medical, dental, and vision insurance
  • Flexible spending account
  • 401(k) plan
  • Employee stock grants and employee stock purchase plan
  • Paid time off and paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care and childcare subsidy
  • Tuition assistance and college coaching
  • Short- and long-term disability insurance
  • Fulltime
Read More
Arrow Right