Staff Data Scientist Jobs

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

Software Engineer Staff - Data Scientist

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
Proficiency in Python, R, SQL, or other programming languages for data analysis
Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
Strong analytical and problem-solving skills

Job Responsibility

Collect, clean, and transform data from various sources and formats for model training
Perform exploratory data analysis and visualization to understand patterns and trends
Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Programs for personal and professional development
Inclusive environment that celebrates individual uniqueness

Fulltime

Staff Data Scientist

We’re looking for a Staff Data Scientist to shape the future of our marketplace ...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

Deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically
Fluent in Python, SQL, and modern data/ML tooling
Experience bringing ML models into production and measuring their long-term business impact
Skilled at translating complex technical findings into actionable business insights
Collaborative leader who mentors peers and sets high standards for analytical rigor and impact
7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity

Job Responsibility

Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods
Define best practices and standards for experimentation, modelling, and analytical excellence across teams
Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities
Develop and deploy scalable models and data products that drive measurable business outcomes
Mentor and coach other data scientists and analysts, helping them deliver higher-impact work
Communicate insights and recommendations to senior leadership, influencing product and growth strategy
Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale

Fulltime

New

Staff Data Scientist, Platform (Inference/Payments)

We are looking for a passionate Staff-level Data Scientist to lead quantitative ...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 6+ years of experience with a PhD degree
Strong knowledge of causal inference, experimentation, and statistical modeling
Skilled in statistical programming (Python or R) and database usage (SQL)
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Ability to translate complex findings and results into compelling narratives that drive impact
Excellent project management, communication, and teamwork skills

Job Responsibility

Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts
AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior
Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies
Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact
Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights

What we offer

bonus, equity, benefits, and Employee Travel Credits

Fulltime

New

Staff Data Scientist, Marketplace

You will join a team dedicated to driving innovation and optimizing our dynamic ...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of relevant industry experience
Master’s degree or PhD in a quantitative field
Strong fluency in Python or R for hands-on IC work
SQL for advanced data analysis at scale
Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
Proven ability to succeed in collaborative environments with cross-functional stakeholders
Proven ability to succeed in independent work environments
Proven ability to communicate clearly and effectively to audiences of varying technical levels

Job Responsibility

Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
Delivering data and insights to enable the company’s supply growth efforts
Providing mentorship to other data scientists
Crafting models to accurately forecast key marketplace metrics
Utilizing cutting-edge causal inference techniques to quantify the impact of changes in supply and demand
Collaborating with teams across product, engineering, and operations to integrate data science insights
Engaging with stakeholders to understand their business objectives and provide data-driven solutions

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

New

Staff Data Scientist, Inference - Customer Support

As a Staff Data Scientist working on Inference in CS, you will have the opportun...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of relevant industry experience (e.g. data scientist, tech lead, junior faculty)
Master’s degree or PhD in relevant fields
Strong fluency in Python, SQL
Familiarity with causal inference and experimentation and a desire to continue to learn
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community

Job Responsibility

Lead DS efforts building segmentation features for CS including data exploration, optimization and model prototyping
Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for segmentation models, drive scientific decisions, and quantify impact
Develop simulations to validate the impact of potential product and operational changes to the business
Design and utilize new experiment frameworks to measure the effectiveness feature launches, even when A/B tests are infeasible
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Bring new ideas to the team which can improve the operational efficiency of customer support at airbnb

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Staff Data Scientist - Performance Marketing

We’re looking for a Staff Data Scientist to serve as the senior individual contr...

Location

United States , San Francisco

Salary:

166500.00 - 249500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years of experience in data science or applied ML, with at least 5 years focused on paid marketing or growth analytics
Master’s or Ph.D. in a quantitative discipline (Statistics, Economics, Computer Science, Mathematics, or related field) or equivalent applied experience
Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, performance tuning)
Hands-on experience designing, analyzing, and interpreting A/B tests and experimentation frameworks
Expertise in statistical inference, causal modeling (regression, propensity scoring), uplift modeling, and marketing attribution models (multi-touch attribution, Markov chains)
Proven track record in time-series forecasting and budget allocation models
Familiarity with ETL frameworks, data warehousing, and APIs
Data visualization skills using Looker or equivalent BI tools
strong storytelling and presentation abilities
Exceptional communication skills: able to influence non-technical stakeholders and present complex analyses to executive audiences

Job Responsibility

Lead end-to-end marketing data science initiatives: Define analytical strategy, develop models, and deliver insights that drive measurable impact on user acquisition, retention and efficiency
Develop advanced attribution and causal frameworks: Build and/or evolve models including multi-touch attribution, media mix modeling, causal inference, and uplift modeling to quantify incremental impact
Advance predictive and prescriptive modeling: Design time-series, optimization, and budget allocation models to forecast ROI and guide marketing investment decisions
Operationalize AI in marketing workflows: Research and implement AI/ML systems for targeting, bidding, and creative optimization by leveraging predictive and generative methods to improve campaign efficiency
Enhance experimentation frameworks: Partner with engineering to expand statistical testing infrastructure, ensuring scalable, accurate causal measurement across campaigns and channels
Act as a technical thought leader: Shape best practices in feature engineering, model versioning, validation, and deployment for marketing science applications
Explore adaptive experimentation: Research, apply and refine multi-arm and contextual bandit algorithms to optimize budget allocation and message selection in near real-time
Collaborate cross-functionally: Partner with Marketing, Growth, and Finance teams to interpret insights, influence strategy, and align data science work with business goals
Mentor and elevate: Guide other data scientists technically through design reviews, model audits, and shared learning sessions, helping scale best practices across the org

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program
equity + benefits

Fulltime

Staff Data Scientist

We are seeking a highly analytical and impact-driven Senior Data Scientist to he...

Location

United States

Salary:

198000.00 - 278000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience
Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization
Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc.
Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products
Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense

Job Responsibility

Translate business needs into data analysis and actionable insights to optimize product performance and user experience
Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions
Develop and maintain a scalable, reliable, and accurate analytics infrastructure
Establish and maintain best practices for data collection, analysis, and reporting
Deliver actionable insights and recommendations focused on landing tangible product impact
Help foster a culture of data-driven decision-making and continuous improvement
Ensure the integrity and accuracy of the data used for analysis and reporting
Support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Staff Data Scientist

Arrows Groupe

Location:
United Kingdom, London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 20, 2025

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Location:United Kingdom, London

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 20, 2025

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Contract Type:
Not provided

Job Posted:
December 20, 2025