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

New

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 - 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

New

Data Scientist

Location

United States , Herndon

Salary:

Not provided

Cognito Cyber Group

Expiration Date

Until further notice

Requirements

Demonstrated experience with cybersecurity, IT systems, and A&A processes
Demonstrated experience with facilitation across multi-contractor and staff teams
Demonstrated experience collaborating with project teams or multiple entities to define project requirements and acceptance criteria
Demonstrated experience monitoring project progress, identifying roadblocks, and implementing mitigation strategies
Demonstrated experience designing, building, and maintaining data pipelines for data ingestion, processing, and transformation
Demonstrated experience collaborating with data scientists and analysts to ensure data quality and accessibility
Demonstrated experience building and implementing data governance policies and procedures for data integrity and security
Demonstrated experience with design, implementation, and management of secure and scalable cloud infrastructure solutions
Demonstrated experience with implementation and management of infrastructure-as-code solutions and collaboration with development teams
Demonstrated experience with implementation of Cl/CD pipelines and automation of infrastructure provisioning, application deployment, and system monitoring

Job Responsibility

With oversight, experience managing the technical program, scope, schedule, budget, risks, and communication
Experience working within and across Agile teams to design, develop, test, implement, and support technical solutions, including innovation efforts for modernization and evolution of core infrastructure, platform, and data lake house
Experience creating customer-facing dashboard presentations and maintaining system requirements, development process documentation, and monitoring report generation and delivery
Experience providing recommendations for cybersecurity and IT operations enhancements, and identifying solutions and tools for an efficient, streamlined, scalable approach while maintaining high-quality service
Experience collaborating with in-house development teams to construct and implement feature enhancements to sponsor Analytic platform with a UI/UX mindset
integrate external systems with sponsor platform
and develop, implement, and maintain a data lake house against requirements
Experience integrating datasets with corporate machine learning tooling
Experience developing, implementing, and maintaining solutions that allow platform users to quickly understand and gain value against massive data sets

Staff Security Data Engineer

Cyber Defense within CVS Health is seeking a well experienced Staff Data Enginee...

Location

United States , Work at Home, Pennsylvania

Salary:

118450.00 - 236900.00 USD / Year

CVS Health

Expiration Date

December 31, 2025

Requirements

7+ years of programming experience in Python and experience with libraries such as PySpark
7+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
7+ year(s) of experience independently managing deliverables
5+ years' experience with deploying complex streaming pipelines
3+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical audiences
Bachelor degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

Job Responsibility

Drives the development and implementation of advanced data engineering pipelines and algorithms to solve complex data problems
Collaborates with multiple departments, including data scientists, security engineers and Information Technology (IT) professionals, to understand business requirements, define data engineering projects, and prioritize initiatives based on strategic objectives
Interfaces with stakeholders to define performance metrics and evaluation methodologies for data engineering products, contributing to rigorous testing, validation, and performance monitoring of products to ensure accuracy and reliability
Advises on the optimization and improvement of data pipelines and infrastructure to enhance efficiency, scalability, and performance of data engineering solutions
Consults on and presents technical findings, insights, and recommendations to both technical and non-technical stakeholders, contributing to the dissemination and application of data engineering insights
Manages team performance through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional services and engagement, motivation, and team development
Stays up-to-date with the latest advancements in data engineering and related technologies, continuously exploring and evaluating new algorithms and methodologies to enhance data engineering capabilities

What we offer

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
No-cost wellness screenings
No-cost tobacco cessation programs
No-cost weight management programs
Confidential counseling
Financial coaching
Paid time off
Flexible work schedules

Fulltime

New

Staff Machine Learning Engineer - Fraud Data

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , Washington DC

Salary:

192000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years total experience
at least 5 years building and deploying production ML systems
proven experience in machine learning infrastructure/operations
demonstrated technical leadership and architectural vision, driving systems from concept to production
proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies

Job Responsibility

Design and build scalable ML infrastructure for Plaid’s fraud detection product
Working at a fast-pace environment to build a rapidly growing product with a championship team
Solving complex problems at the intersection of ML systems, data, and reliability
Building the foundations for fraud detection on the largest financial dataset in the world
Collaborating with talented engineers and data scientists across Plaid

Fulltime

New

Staff Machine Learning Engineer - Fraud Data

The Data team within Plaid’s Fraud organization builds the machine learning syst...

Location

United States , Seattle

Salary:

192000.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

8+ years total experience
at least 5 years building and deploying production ML systems
proven experience in machine learning infrastructure/operations
demonstrated technical leadership and architectural vision, driving systems from concept to production
proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies

Job Responsibility

Design and build scalable ML infrastructure for Plaid’s fraud detection product
Working at a fast-pace environment to build a rapidly growing product with a championship team
Solving complex problems at the intersection of ML systems, data, and reliability
Building the foundations for fraud detection on the largest financial dataset in the world
Collaborating with talented engineers and data scientists across Plaid

Fulltime

Staff Data Scientist

Apollo.io

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 06, 2025

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Apollo.io

Location:United States

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 06, 2025

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