Staff Data Scientist, Growth Job at Pomelo Care (San Francisco)

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

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

Staff Data Scientist, Growth

Build innovative, data-driven products that enhance patient engagement and reten...

Location

United States

Salary:

220000.00 - 260000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
Passionate about improving maternal health outcomes and creating exceptional patient experiences
Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Job Responsibility

Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy
Build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

Fulltime

Staff Data Scientist, Growth

Your North Star: Build innovative, data-driven products that enhance patient eng...

Location

United States , New York City

Salary:

220000.00 - 260000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

6+ years professional experience in data science, product analytics, or data engineering
2+ years professional experience working in healthcare, consumer health, or high-touch consumer products
Expert proficiency in both SQL and Python, with demonstrated ability to work across the full data stack
Strong product sense with experience in product prototyping, A/B testing, and user behavior analysis
Passionate about improving maternal health outcomes and creating exceptional patient experiences
Proven track record of scoping and implementing data-driven product solutions to complex, ambiguous problems
Comfortable leading cross-functional initiatives with Product, Engineering, and Clinical teams as a strategic partner and technical expert
A strong communicator and a keen nose for value - someone who can easily and quickly understand the needs of different audiences
Experience with data visualization and dashboarding tools (e.g., Looker, Tableau, Metabase)
Experience working with modern data stack tools (e.g., dbt, Airflow, Snowflake)

Job Responsibility

Become an expert in patient behavior, engagement patterns, and retention drivers, owning the team’s data science roadmap and playing a foundational role in shaping Pomelo's patient experience strategy
Collaborate deeply with the Marketing team to build and optimize a multi-channel enrollment strategy. You will build attribution models, analyze funnel conversion rates, and identify the best ways to allocate resources towards patient enrollment
Define and iterate on key metrics that define the health of the business, such as enrollment and retention rates, and present insights to Pomelo’s leadership team
Complete exploratory analyses to inform development of enrollment and engagement-focused features, such as conversation topic categorization and patient journey segmentations
Build robust data pipelines and analytics infrastructure that connect external, marketing and product usage data, creating a unified view of the patient journey
Lead the team’s approach to A/B testing across marketing and product initiatives to accurately measure impact
Collaborate closely with Product, Clinical, and Engineering teams to translate patient insights into actionable product improvements and new feature development

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation

Fulltime

Staff Data Scientist

At Optimizely, we're on a mission to help people unlock their digital potential....

Location

Netherlands , Amsterdam

Salary:

Not provided

Optimizely

Expiration Date

Until further notice

Requirements

7+ years of experience in data science, with at least 3 years in a technical leadership role
Strong technical mentorship and team development capabilities
Proven track record of designing and implementing production machine learning solutions
Strong technical background with demonstrated ability to lead complex ML initiatives
Excellent programming skills in Python and experience with machine learning frameworks
Deep understanding of Machine Learning algorithms, Recommender Systems, Natural Language Processing, Generative AI and Large Language Models
Experience with at least one cloud platform (GCP, AWS, Azure)
Strong in version control (GitHub) and experience with CI/CD tools (GitHub Actions)
Demonstrated expertise in test-driven development and clean code principles
Proven ability to write maintainable, modular, and well-documented code

Job Responsibility

Lead the execution of projects in a high-performing data science team, fostering professional growth and creating an inclusive and collaborative environment
Architect and design scalable machine learning systems that solve complex challenges
Develop and execute the data science team's strategic roadmap, managing complex projects from conception to deployment
Make high-impact technical decisions and provide guidance
Establish best practices in software engineering and machine learning development
Implement rigorous code quality and testing standards across data science projects
Support talent acquisition and continuous learning initiatives

Staff Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom uses data and insi...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

5 + years experience working with data to solve problems and drive evidence-based decisions
Excellent SQL skills and good knowledge of statistics
Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
Excellent communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity

Job Responsibility

Partner with GTM teams to help them identify important questions and answer those questions with data
Work closely with sales and solutions leaders to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
Design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables
Partner closely with product researchers to build a holistic understanding of our customers, our products and our business
Influence our GTM strategy through experimentation, exploratory analysis and quantitative research
Build and automate actionable models and dashboards
Craft data stories and share your findings and recommendations across R&D and the broader company
Drive and shape core RAD foundations and help us improve how the RAD org operates

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Senior or Staff Data Scientist, Recommendations

As our founding Recommendation Data Scientist, you'll be instrumental in buildin...

Location

United States , San Francisco

Salary:

200000.00 - 300000.00 USD / Year

Suno

Expiration Date

Until further notice

Requirements

6+ years experience in data science or machine learning roles with direct experience on recommendation systems - ideally in consumer products, music/audio, or content platforms
Strong technical skills in Python, SQL, and statistical modeling
Experience designing and running rigorous experiments, evaluating tradeoffs, deriving clear insights, and making actionable recommendations
Excellent communication and experience working across multiple functions to influence decisions
A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning
Applicants must be eligible to work in the US.

Job Responsibility

Define content strategy: Partner with product and growth leaders to establish our initial content discovery strategy, recommendation goals, and success metrics
Get hands-on: Dive deep into user behavior patterns and content characteristics, using these insights to prototype and improve upon recommendation algorithms and features
Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements and measure impact on user engagement, retention, and music creation
Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality across multiple dimensions - relevance, diversity, novelty, and user satisfaction
Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms and with product to shape user experience
Shape data culture: As a part of our growing data science team, contribute to strong data foundations and foster a nuanced and healthy company-wide relationship with data

What we offer

Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)

Fulltime

Staff Data Scientist

Airbnb is looking for a Staff Data Scientist to join the Forecasting team, focus...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

9+ years of industry experience in a fast-paced tech environment with a BS/Master’s in a technical field related to mathematics, statistics, machine learning
3+ years of relevant experience and a PhD in similar fields
Extensive industry experience applying forecasting in production settings, with demonstrated ownership of forecasting pipelines or decision systems
Expertise in SQL and relational databases
Strong fluency in programming languages such as R, Python, and Stan
Experience building automated modeling workflows, including backtesting frameworks, model validation, scheduled retraining, and performance monitoring
Familiarity with version control, reproducibility, and data quality practices required for operating models in regulated or high visibility financial contexts
Comfort working across disciplines and making tradeoffs between statistical rigor, engineering complexity, and business constraints

Job Responsibility

Own the design, operation, and evolution of end to end forecasting systems for revenue drivers, including data pipelines, model components, validation logic, and automated delivery into planning and financial workflows
Select, adapt, and maintain forecasting approaches appropriate to each problem context, balancing accuracy, stability, interpretability, and operational cost
Engage in stakeholder management, effectively communicating with various teams and levels within the organization to gather input and share insights
Drive the process of extracting actionable insights from complex data sets to influence business growth and strategic decision-making
Continuously improve forecasting infrastructure and processes to reduce manual intervention, shorten cycle time, and increase trust in outputs

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Staff Data Scientist, Growth

Pomelo Care

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 05, 2026

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

Similar Jobs for Staff Data Scientist, Growth

Staff Data Scientist

Staff Data Scientist, Marketplace

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist

Staff Data Scientist

Senior or Staff Data Scientist, Recommendations

Staff Data Scientist

Staff Data Scientist, Growth

Pomelo Care

Location:United States , San Francisco

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:January 05, 2026

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

Similar Jobs for Staff Data Scientist, Growth

Staff Data Scientist

Staff Data Scientist, Marketplace

Staff Data Scientist, Growth

Staff Data Scientist, Growth

Staff Data Scientist

Staff Data Scientist

Senior or Staff Data Scientist, Recommendations

Staff Data Scientist

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
January 05, 2026