Senior Data Scientist

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

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

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

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

New

Data Scientist - Social Analytics

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

Location

United States , Redmond

Salary:

100600.00 - 199000.00 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
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
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)
OR equivalent experience.
1+ years of experience ingesting, cleaning, and analyzing large-scale 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
1+ years of experience with social network analysis algorithms including community detection, centrality metrics, influence propagation models, graph-based clustering methods
1+ years of experience applying statistical or machine learning techniques to social or behavioral analytics problems
1+ years of experience with advanced visualization techniques for social analytics and tools such as PowerBI

Job Responsibility

Execute well-defined social analytics projects, translating business questions into analytical approaches with guidance from senior data scientists
Apply social analytics and social network analysis techniques (e.g., graph analytics, community detection, centrality analysis, influence or diffusion concepts) to understand engagement and behavioral patterns
Analyze large-scale, noisy, and unstructured social media data, contributing to incremental improvements in data quality, feature engineering, and analytical relevance
Develop analytical outputs, metrics, and visualizations that support marketing, public relations, and product decision-making
Collaborate with analysts and senior data scientists to contribute to scalable and self-serve analytics solutions
Communicate findings clearly through written summaries, presentations, and visualizations, translating technical results into business-friendly insights
Follow established best practices for data science quality, documentation, and reproducibility, and contribute to shared team standards and learnings
Embody our culture and values.

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