Data Scientist

Circle K is seeking a Data Scientist responsible for delivering advanced analyti...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar
Experience: 3-4 years for Data Scientist
Relevant working experience in a quantitative/ applied analytics role
Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
Excellent communication skills in English, both verbal and written
Delivery Excellence
Business disposition
Social intelligence
Innovation and agility
Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)

Job Responsibility

Evaluate performance of categories and activities, using proven and advanced analytical methods
Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis
Oversee the design and measurement of experiments and pilots
Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact
Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
Improve data quality by using and improving tools to automatically detect issues
Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol
Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application
Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business

Fulltime

Principal Data Scientist

The Principal Data Scientist – Media Attribution will lead the development of cu...

Location

United States , Bellevue

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Proven experience in marketing and media analytics, with a focus on attribution modeling, causal inference, and media mix optimization
Strong background in machine learning, econometrics, and statistical modeling with applications in marketing measurement
Expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure) for scalable modeling and data processing
Experience with experimental design and incrementality testing in digital and traditional media channels
Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions
Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Applied Mathematics)

Job Responsibility

Lead the development and refinement of attribution models (MTA, MMM) to quantify the impact of media investments across channels (digital, social, TV, search, etc.)
Advance causal inference techniques to improve media measurement, including uplift modeling, propensity scoring, and Bayesian methods
Develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends
Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementality testing, to measure media effectiveness accurately
Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements
Optimize media spend through AI-driven decisioning, leveraging reinforcement learning, Bayesian optimization, and econometric modeling
Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team
Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Data Scientist 2

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

122000.00 - 168000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Using AI/ML to impact and assess large datasets, including data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment
Be well-versed in advanced statistical and predictive modeling, and have large-scale data processing (e.g. Spark, cloud data platforms) and Python and SQL processing
Create data visualization using Tableau, PowerBI, or Python Libraries
Develop automated analytics workflows
Translate complex data into strategic insights
Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

Senior Manager, Product Analytics

As we scale, we’re investing deeply in data, experimentation, and analytics to i...

Location

United States , New York

Salary:

200000.00 - 230000.00 USD / Year

Clear

Expiration Date

Until further notice

Requirements

7+ years experience in product analytics, data science, business analytics, or related fields with 2+ years leading teams
Proven track record standing up or significantly scaling product analytics and experimentation capabilities in a tech or consumer product environment
Fluency in SQL, experiment design (statistical rigor, power analysis, etc.), attribution, funnel & cohort analysis, and metric design
Experience with leading decisions around third party experimentation tooling
Strong hands-on experience with product analytics tools (e.g. Heap, Amplitude, Mixpanel, etc.) and BI / dashboarding systems
Solid understanding of data infrastructure, ETL pipelines, event logging, data governance, and how to ensure data integrity
Exceptional communicator: you can translate complex analyses into clear, compelling narratives that drive decisions
Strategic but pragmatic: you know when to ship “good enough” and when to perfect
Bias for action, comfort with ambiguity, and willingness to get your hands dirty
Leadership presence, collaborative spirit, and the ability to influence across functions

Job Responsibility

Drive adoption of CLEAR’s front-end measurement and tracking framework: taxonomy, event definitions, data governance, instrumentation standards
Standardize the workflow around experimentation across our product surfaces
Build reliable analytics pipelines in collaboration with Data Engineering, ensuring data quality, consistency, and scalability
Define and socialize core metrics and KPIs across product lines and verticals
Deliver dashboards and analyses that distill complexity into clarity for product teams, leadership, and business stakeholders
Create frameworks for feature evaluation, long-term holdout analyses, funnel optimization, and user behavior deep dives
Empower teams via self-service tooling and documented analytics processes
Build learning loops: lead post-mortems, root-cause analyses, and knowledge sharing across the org
Build, lead, and grow a team of product analysts and data scientists
Mentor and elevate analyst capabilities

What we offer

Competitive compensation
Equity
Professional development support
Comprehensive healthcare plans
Family-building benefits (fertility and adoption/surrogacy support)
Flexible time off
Annual wellness stipend
Free OneMedical memberships for you and your dependents
A CLEAR Plus membership
401(k) retirement plan with employer match

Fulltime

New

Senior Data Scientist - Social Analytics

We’re building a Frontier Marketing organization that learns fast and executes w...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience.
3+ years of experience ingesting, cleaning, and analyzing largescale social media data, including unstructured and semi-structured signals (e.g., posts, comments, engagement metadata), with attention to data quality, bias, and analytical fitness for use.
3+ years of experience applying social network analysis algorithms including community detection, centrality metrics, influence propagation models, graph-based clustering methods.
3+ years of experience applying statistical or machine learning techniques to social or behavioral analytics problems.
3+ years of experience with advanced visualization techniques for social analytics and tools such as PowerBI.

Job Responsibility

Own and deliver complex social analytics problem spaces end-to-end, leveraging strong analytic judgement while framing ambiguous business questions into clear analytical objectives and success measures
Apply advanced social network analysis methods (graph analytics, community detection, influence/diffusion modeling) and statistical techniques to understand engagement, behavior, and diffusion patterns to develop actionable insights
Evaluate and extract insights from noisy, large-scale and unstructured data, developing new methods to improve analytical quality and relevance
Collaborate with analysts and partners to translate data science solutions into scalable, self-serve analytics experiences
Drive execution independently, with minimal guidance, identifying key risks, dependencies, and trade-offs to ensure timely, high-impact delivery.
Partner directly with marketing, public relations, and product stakeholders to translate business questions into data science approaches, influencing decisions through explaining trade-offs and implications of data science results
Communicate complex findings clearly through narratives, visualizations, and executive-ready materials, translating technical results into business terms and clear recommendations
Serve as a technical thought leader and mentor across the team by setting high standards for data science quality, documentation and reproducibility, raising the overall bar for rigor and creativity.

Fulltime

Senior Manager, Marketing Science

The Sr. Manager of Marketing Science drives and executes strategic initiatives t...

Location

United States , Bannockburn

Salary:

137000.00 - 215270.00 USD / Year

BioLife Plasma Services

Expiration Date

Until further notice

Requirements

Bachelor’s and/or master’s degree in any area of social science, business, marketing, advertising, or a closely related field
Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions
7+ years of experience in advanced analytics and statistical modeling in the areas of business performance analysis, forecasting, promotion and media effectiveness and optimization, and consumer behavior
Excellent verbal and written communication and presentation skills. Able to communicate effectively to all levels of the organization, including senior leadership
Bring a growth mindset, curiosity, positivity, intuitive thinking, and a passion for excellence
Extensive experience across many areas of marketing science
MMM, MTA, Loyalty, Website, Surveys, Paid/Owned/Earned Media
Experience with SQL, Python, and R for data analysis and model development
Strong analytical skills with a solid foundation in many of the following statistical and AI/ML methods: regression analysis (continuous, categorical, survival, time-series, and count models, etc.)
classification (CART, SVM, Neural Networks, etc.), clustering (k-means/medoid, hierarchical, self-organizing maps, etc.), and other AI/ML techniques

Job Responsibility

Lead marketing science initiatives in the development and execution of advanced analytics to support marketing strategies and goals
Provide thought leadership on marketing measurement techniques, including the trade-offs between controlled experiments, natural experiments, and multivariate statistical models for different situations
Partner with our media agency to ensure we are maximizing the output of our media mix model (MMM) partner
Deep understanding and experience with creating and managing marketing attribution solutions, i.e., multi-touch attribution (MTA). Ability to build/maintain in-house solutions and/or work with outside partners as necessary
Identify and maintain marketing analytics key performance indicators (KPIs) to track and measure performance
Partner with data scientists, IT, and consultants to develop advanced analytical models and dashboards related to marketing
Ability to perform statistical analyses and tests to quantify the business value of an opportunity
Familiarity with AI/ML applications in marketing
Ensure the accurate and timely delivery of marketing performance reports and insights
Able to translate data into contextualized insights that can be shared across the business

What we offer

Medical, dental, vision insurance
401(k) plan and company match
Short-term and long-term disability coverage
Basic life insurance
Tuition reimbursement program
Paid volunteer time off
Company holidays
Well-being benefits
Up to 80 hours of sick time per calendar year
Accrue up to 120 hours of paid vacation (for new hires)

Fulltime

Director of Revenue Analytics

We are looking for an intellectually curious and highly motivated Director of Re...

Location

United States , San Francisco; Los Angeles; New York; Seattle

Salary:

215000.00 - 330000.00 USD / Year

Whatnot

Expiration Date

Until further notice

Requirements

8+ years of experience in the Data Analytics field
4+ years of experience of leading a team, with a minimum team size of 5
Previous experience working with marketplaces, ecommerce, mobile gaming, or social media
Excellent verbal communication and presentation skills to stakeholders, leadership, and investors
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Proven track record of building and leading data science teams supporting International Expansion, Go To Market, Product, Marketing, Finance, or Operations teams
Ability to lead initiatives across multiple product areas and communicate findings with leadership and stakeholders
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
Expert in using SQL and scripting languages for data analysis, reporting, and dashboarding

Job Responsibility

Lead and grow a division of the Analytics team of data scientists and data analysts
Own your domain, responsible for the results and analytics of your area to drive insight and informed recommendations for the business
Create and share the vision for the broader Analytics team and work with leadership to transform it into a driving force in strategy and operations of the company
Foster a culture of analytical experts that is focused on maximizing the customer experience to drive top line and bottom line growth
Coach, develop and scale a team that is excited to be a part of the organization in anticipation of the growing demands of the business
Shape the company and analytics roadmap through data driven decisions across core functions of the business and executive leadership
Spearhead the strategic data driven vision that captures billion dollar GMV opportunities
Organize and shape the collective understanding of business health and opportunities through various data sources both internal and external
Act as cross functional leader driving cohesive decision making and actions across teams

What we offer

Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement

Fulltime

Senior People Scientist

The Sr People Scientist is responsible for supplying to the development of an en...

Location

United States , Bellevue

Salary:

127700.00 - 230300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Subject area (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
Doctorate Quantitative Discipline (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
7-10 years Research science or related experience
Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics
4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields

Job Responsibility

Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability
Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling
Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members
Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science
Build and run true A/B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall T-Mobile people strategy
evaluate research initiatives to provide bottom line value, return on investment and improvements
Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Data Scientist - Social Analytics

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 04, 2026

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