Staff, Data Scientist Job at Stytch

Member Of Technical Staff (Data Scientist)

Perplexity is AI for people who expect more. This role brings that same standard...

Location

United States , San Francisco

Salary:

175000.00 - 330000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

6-8+ years in data science, analytics engineering, or a related role
Strong product sense
Deep SQL expertise
Pipeline experience
Enough software engineering chops to be dangerous
Genuinely excited about AI
Builder mentality
Autonomy

Job Responsibility

Accelerate the AI-native data workflow
Build AI agents that do data science
Make the warehouse AI-readable
Automate the data lifecycle
Ship AI-powered experiment analysis
Own the full lifecycle
Turn the data team into a product team

What we offer

Equity
Health
Dental
Vision
Retirement
Fitness
Commuter and dependent care accounts

Fulltime

Staff Data Scientist, Firefox

Mozilla Corporation is the non-profit-backed technology company that has shaped ...

Location

United States

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

8+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of shaping product strategy through data
Demonstrated ability to lead complex, cross-functional analytical initiatives from problem framing through stakeholder alignment to decision
Deep expertise in experimentation (A/B testing) and causal inference, with strong judgment about when each method applies and what conclusions they support
Advanced proficiency in SQL and Python for analysis, modeling, and validation
Experience defining and owning product metrics that teams actually use to make decisions
Strong opinions, loosely held: you can take a position on what the data says, advocate for it clearly, and update when the evidence changes
Track record of mentoring or technically leading other data scientists
Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit

Job Responsibility

Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations
Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs
Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions
Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities
Contribute and own areas of the team’s forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategies
Mentor and elevate other data scientists through code review, methodology guidance, and establishing reusable analytical frameworks
Represent data science in cross-functional forums, making the case for what the data shows even when it challenges prevailing assumptions
Drive alignment across data science, data engineering, and product on shared priorities like data quality, metric definitions, and instrumentation

What we offer

Generous performance-based bonus plans to all eligible employees
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Member of Technical Staff - Data Scientist

As a data scientist at Microsoft AI, you will be tasked with helping us to maxim...

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 (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR 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 equivalent experience

Job Responsibility

Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot
Drive new ways of instrumenting and measuring impact to evaluate new feature performance through experimentation
Define metrics and build basic data pipelines to enable A/B experimentation for new features and mitigating abusive users
Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own
Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively
Enjoy working in a fast-paced, design-driven, product development cycle
Work collaboratively with engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention
Embody our Culture and Values

Fulltime

Senior Staff Data Scientist (AI Solutions - Machines)

As a Data Scientist at CyberArk, you’ll join a team shaping the future of identi...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

2-4 years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks
Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85
Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability
Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving
Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment
Strong communication skills and ability to explain technical concepts to different audiences

Job Responsibility

Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications

Fulltime

Staff Data Scientist, Consumer

As a Staff Data Scientist on the team, you will play an influential role in guid...

Location

United States

Salary:

217000.00 - 303900.00 USD / Year

Expiration Date

Until further notice

Requirements

Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 10+ years of industry experience in applied science or data science roles
For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
Expert knowledge of SQL and relational databases
Familiarity with statistical analysis and the preferred programming languages of the team (R / Python)
Demonstrated ability to influence and guide product strategy with data
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Familiarity with causal inference techniques and causal models
Excellent communication and experience working with senior leaders / stakeholders
Entrepreneurial, self-directed, and enthusiastic about solving problems

Job Responsibility

Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention
Influence strategic roadmaps through data-driven insights into user behaviors and needs
Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis
Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions
Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization
Work cross functionally with product, engineering, and design teams to ensure insights make it to the product
Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems

What we offer

Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
equity in the form of restricted stock units
medical, dental, and vision insurance

Fulltime

Staff Data Scientist, Commercial Analytics

About the Position 10x Genomics sells high-complexity capital equipment and cons...

Location

United States , Pleasanton

Salary:

198500.00 - 268500.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

Master’s degree in a quantitative discipline such as Statistics, Engineering, Mathematics, Computer Science, Data Science, or an MBA with a technical focus
7+ years of experience using analytics to solve complex business problems, including coding (Python or R), querying databases (SQL), and statistical analysis
Production ML Experience: Proven track record of deploying machine learning models into production environments to solve commercial or operational challenges
Technical Mastery: Expert-level proficiency in writing complex, efficient SQL and using Python/R for data manipulation and predictive modeling
Commercial Acumen: Profound experience with sales processes and tools, specifically Salesforce CRM, sales quota/territory assignment, and the B2B enterprise SaaS demand generation funnel
Data Visualization: Advanced knowledge of data visualization tools like Tableau or Power BI to synthesize data into actionable executive dashboards
Stakeholder Management: Exceptional communication and interpersonal skills, with the ability to lead through ambiguity and influence cross-functional teams

Job Responsibility

Rebuild our sales forecasting model from a rules-based spreadsheet system to a production ML pipeline
Redesign our territory performance framework to better account for market heterogeneity across academic vs. pharma accounts
Develop early-warning signal models that surface churn risk, stalled accounts, and expansion opportunities before they become visible to the field
Own end-to-end development of ML-based sales forecasting models from feature engineering in Snowflake to deployment and monitoring in our AWS environment
Build pipeline health and churn risk models that give our VP of Sales a forward-looking view
Define model evaluation frameworks and own ongoing performance monitoring
Design specific performance frameworks for distributor-led markets (APAC/EMEA)
Conduct deep-dive analyses on quota attainment, territory performance, and account penetration
Conduct deep customer analyses that map account health, buying patterns, and product adoption across segments
Act as the commercial 'voice of the data' to our Product and Software Engineering teams

What we offer

equity grants
comprehensive health and retirement benefit programs
annual bonus program or sales incentive program
Health Package
Easy-to-use Benefits
Family oriented
Generous Time Off
Award-Winning Workplace

Fulltime