Senior Data Scientist

New

Senior Machine Learning Engineer (Health)

WHOOP is an advanced health and fitness wearable, on a mission to unlock human p...

Location

United States , Boston

Salary:

150000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field. Master’s preferred
5+ years of professional experience as a Machine Learning Engineer or Software Engineer with focus on ML systems
Proven expertise working with time series data (wearable, physiological, or high-frequency sensor data strongly preferred)
Experience designing and deploying ML inference systems at scale: both real-time streaming and large-scale batch pipelines
Strong coding skills in Python (scientific stack) and SQL, with a track record of writing clean, production-quality code
Strong communication skills to collaborate across engineering, research, and product teams
Proven experience deploying and maintaining ML systems on cloud platforms (AWS or GCP)
Working familiarity with MLOps best practices: model versioning, CI/CD for ML, observability, and monitoring for inference systems
Ability to reason about and design for performance trade-offs (latency vs. throughput vs. cost) when building ML inference systems
Strong understanding of backend service development (APIs and service reliability) as it applies to serving ML models at scale

Job Responsibility

Create, improve, and maintain production services that provide analysis for health features in collaboration with Data Scientists and MLOps Engineers
Collaborate with Data Engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency
Collaborate with researchers and product teams to align model development with health insights and member impact
Participate in on-call rotations for data science services, ensuring uptime and performance in production environments

What we offer

equity
benefits

Fulltime

New

As a Senior Data Scientist – Offer, you’ll play a key role in transforming how w...

Location

France , Aix-en-Provence

Salary:

Not provided

Voyage PrivÃ©

Expiration Date

Until further notice

Requirements

Master’s degree in Machine Learning or Data Science, with strong foundations in mathematics, statistics, and computer science
7+ years of experience as a Data Scientist or ML Engineer, ideally in a digital/tech environment
Strong expertise in Python and SQL, version control (GitLab/GitHub), and deploying ML models at scale
Advanced experience with cloud platforms (GCP preferred) and A/B testing frameworks
Excellent communication skills and ability to synthesize complex topics for diverse stakeholders
Autonomous, proactive, and eager to innovate and challenge existing approaches
Communicate well in English and French

Job Responsibility

Act as the go-to expert for AI within the “Offer” domain, understanding key business challenges and proposing new opportunities
Conduct research on cutting-edge algorithms, benchmark them, and apply the most suitable approaches to real-world use cases
Design and deploy at scale high-impact forecasting models to anticipate market demand and optimize supplier negotiations
Collaborate with Data Analysts to run and monitor A/B tests, enabling rapid iteration on new high-value features
Ensure models are accessible and reliable by embedding them into web applications and monitoring real-time performance
Contribute as a technical bar-raiser: uphold coding best practices, lead major code reviews, and introduce new workflows or tools
Strengthen team visibility through blog posts, demos, and participation in meetups or open-source projects

What we offer

Access our large on-site fitness center morning, noon, and night
Private padel court
Company Breaks, Carnival, Annual Convention, meetups and talks
Free tickets to every Provence Rugby home match and live music nights at the Dalida Institute
Up to 20% off our exclusive getaway offers
4 fully remote weeks per year

Fulltime

New

Senior Data Scientist

tvScientific is looking for a Senior Data Scientist to expand our team! You'll b...

Location

United States

Salary:

175000.00 - 200000.00 USD / Year

tvScientific

Expiration Date

Until further notice

Requirements

Experience writing and reviewing production-level code in Python
Excellent writing skills
Strong statistics and ML fundamentals
Desire to work at a fast-growing Series B startup–working under uncertainty, owning and scaling new products, and an experimental and iterative development process
Senior (5+ years) experience

Job Responsibility

Write production code in Python
Design, launch, and analyze experiments to optimize ad campaigns
Build reporting and analytics tools for the Data Science Team's customers
Translate into tvScientific's Data Science Product

What we offer

Full health, dental, and vision insurance - up to 95% funded by the company for employees
Employee stock option program
Company-sponsored retirement plan with a matching contribution program
12 annual paid holidays (including 2 flexible days)
Generous PTO policy
A remote-first environment that allows employees flexibility to work from anywhere in the US

Fulltime

New

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...

Location

United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver

Salary:

180000.00 - 220000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in engineering scalable experimentation solutions
Expert level experiment design and assessment skills
Direct experience building production grade tooling for operational use by teams of internal decision makers
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead a systematic marketing and product experimentation program
Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

New

Senior Geospatial Data Scientist

The Geospatial Data Scientist will leverage advanced geospatial analytics, machi...

Location

United Kingdom , London

Salary:

Not provided

Syngenta Group

Expiration Date

Until further notice

Requirements

Master’s degree in Geographic Information Science, Remote Sensing, Computer Science, Data Science, or a related field with a strong focus on geospatial analysis
5+ years of experience in satellite and geospatial data analysis and modeling
Proficiency in Python programming, with experience in geospatial libraries such as GeoPandas, Rasterio, and related tools
Expertise in machine learning for earth observation applications (e.g., image classification, object detection, time series analysis)
Experience with geospatial foundation models
Experience with version control systems (e.g., Git) and collaborative software development practices
Experience leveraging generative AI tools to optimize workflows, automate tasks, and enhance productivity in geospatial analysis and data science projects
Excellent written and verbal communication skills in English
Strong analytical and problem-solving skills, with the ability to explain complex technical concepts to non-technical audiences

Job Responsibility

Develop and implement advanced geospatial and machine learning models to analyze agricultural datasets (satellite imagery, drone data, IoT sensors) and extract meaningful patterns
Design, build, and maintain scalable, cloud-enabled large data pipelines for cleaning, transforming, and integrating diverse geospatial data sources
Perform statistical analysis and data mining to uncover spatial and temporal trends that inform agricultural management strategies
Engineer innovative features from remote sensing data to enhance model accuracy and performance
Deliver high-quality, documented code for geospatial data processing using Python and relevant libraries
Translate analytical results into practical recommendations for agronomists, growers, and decision-makers
Stay current with advancements in geospatial technologies, remote sensing, and machine learning to maintain technical leadership
Contribute to technical reports, scientific publications, and presentations to share research outcomes
Collaborate closely with interdisciplinary teams, including agronomists, data scientists, and software engineers

What we offer

Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance
Flexible working arrangements
We offer a position which contributes to valuable and impactful work in a stimulating and international environment
Learning culture (Together we Grow) and wide range of training options

New

Senior Data Scientist, Product

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

179000.00 - 210000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Proven expertise in data science, with a strong background in statistical analysis and machine learning
Outstanding problem-solving skills and the ability to think critically and creatively
Strong programming skills in Python & SQL, or other relevant languages
Experience with data visualization tools and techniques
Ability to successfully implement projects and compete in a fast-paced environment
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models

Job Responsibility

Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
Define and maintain key product performance metrics
build scalable dashboards to monitor these metrics and advise decision-making
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
Assist with established methods, standard approaches, and promote a data-informed culture within the organization

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

New

Senior Data Scientist, Fraud

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Menlo Park

Salary:

187000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation
Advanced proficiency in Python and SQL
experience with ML frameworks like XGBoost, LightGBM, or TensorFlow
Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing
Excellent communication skills and ability to influence decision-making across technical and non-technical audiences
A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments

Job Responsibility

Design and deploy fraud detection models to protect Robinhood users and assets in real time
Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response
Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability
Partner with engineering and product teams to implement safeguards and user-facing features
Guide experimentation strategy and contribute to long-term fraud prevention roadmap

What we offer

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

New

Junior Data Scientist / Machine Learning Engineer

As a Junior Data Scientist / Machine Learning Engineer at Red Hibbert Group, you...

Location

United States

Salary:

25.00 USD / Hour

Red Hibbert Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Strong programming skills in Python and proficiency with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Solid experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn)
Strong understanding of statistical analysis and machine learning concepts
0-2 years of experience in machine learning, deep learning, or data science
Excellent analytical and problem-solving skills with strong communication abilities are required

Job Responsibility

Developing and implementing machine learning models
Conducting data analysis
Collaborating with cross-functional teams
Working on cutting-edge AI/ML projects, focusing on data preprocessing, feature engineering, model development, and evaluation
Developing AI-driven solutions for our clients
Conducting research to improve existing ML systems
Working closely with senior team members to deliver high-quality solutions

Senior Data Scientist - Machine Learning

Atlassian

Location:
India, Bengaluru

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2025

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