Data Scientist Jobs

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

New

Data Scientist Manager

Location

Japan , Tokyo

Salary:

9000000.00 - 13000000.00 JPY / Year

Randstad

Expiration Date

December 30, 2025

Requirements

Business level Japanese & English
Hands on Data Scientist experience
Strong Python skills
Data Modeling and data analytics
Experience with AWS or similar cloud tech

Job Responsibility

Report directly to Global Head, have a strong influence on the Direction of Data at the business
Key position in the Japan IT department
Work directly with business leaders in Japan

What we offer

食堂
健康保険
労災保険

Fulltime

New

Bilingual Data Scientist

Our enterprise-level client is seeking a bilingual Data Scientist with python co...

Location

United States , Centennial

Salary:

35.00 - 55.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

Experience in a Data Scientist role (or as a Data Analyst)
Must be fluent in Spanish
Experience using different data mining techniques such as clustering, regression analysis, decision trees and support vector machines
Python (pandas libraries) & SQL (has database experience)

Job Responsibility

Support customer call centers with real time call transcription, including sentiment graphs and call summarization

Fulltime

New

Data Scientist

Location

United States , McLean

Salary:

Not provided

Cognito Cyber Group

Expiration Date

Until further notice

Requirements

Demonstrated experience cataloging datasets
Demonstrated experience communicating with personnel at multiple levels of seniority, including technical and non-technical personnel
Demonstrated experience understanding and communicating information about data, including data characterizations such as type, size, and other metadata
Demonstrated experience working through required processes to move data between systems or networks
Active TS/SCI FSP on day one of employment

Job Responsibility

Experience identifying and cataloging datasets relevant to the area of responsibility and track datasets through their lifecycle
Experience cataloging datasets and records of varying volume, content, and structure following requirements, standard operations procedures, and best practices
Experience providing ad hoc reports from the data catalog on specific topics requested by Sponsor
Experience monitoring data submissions and tracking through ingestion lifecycle
Experience coordinating with the system teams to troubleshoot data management and ingestion issues
Experience providing support and advice for data submissions
Experience supporting the creation of workflows, visuals, and briefing materials for presentations as requested by the Sponsor
Experience participating in regular technical meetings under the direction of the Sponsor
Experience coordinating with the Sponsor to adjust data management priorities as needed
Experience providing support to the Sponsor’s organization for data sharing with other organizations

New

Data Scientist

At LeverX, we have had the privilege of delivering over 950 projects. With 20+ y...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Scientist
Hands-on experience with data analysis (probability theory and statistics, table data analysis experience) and statistical libraries such as SciPy or statsmodels
Knowledge and hands-on experience with machine learning, including both supervised and unsupervised learning, classical models, neural networks, and popular frameworks (scikit-learn, LightGBM, XGBoost, Keras, PyTorch, and TensorFlow)
Proficiency in Python and the ability to create APIs for developed solutions using tools such as FastAPI, Flask, Django REST framework, TensorFlow Serving, PyTorch Serving, Docker, and others
Experience with reporting and visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Altair, Jupyter Notebooks, Streamlit, TensorBoard) as well as with machine learning services offered by at least one major cloud provider (AWS, Azure, or GCP)
Understanding of DataOps and MLOps
Experience working according to Agile practices
English B2+

Job Responsibility

Collaborate closely with a distributed team of Data Scientists, Engineers, and stakeholders across various time zones
Own the full lifecycle of AI/ML solutions, from initial research and prototyping to model deployment and monitoring in production
Engage with business stakeholders to gather requirements, clarify goals, and translate them into data-driven solutions
Leverage cloud ML services and containerized APIs to build scalable machine learning pipelines
Apply classical ML models and neural networks using cutting-edge frameworks for a wide range of predictive and analytical tasks
Utilize AI tools extensively in the SDLC process

What we offer

Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Data Scientist, Product Analytics

Airtable is seeking a product-focused Data Scientist to join our Analytics & Dat...

Location

United States , San Francisco; New York City; Austin

Salary:

185300.00 - 266300.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, data science, mathematics/statistics, or related field
6+ years of experience as a data scientist, data analyst, or data engineer
Experience supporting product development teams and driving product growth insight
Background in SaaS, consumer tech, or data-driven product environments preferred
Expert in SQL and modern data modeling (e.g., dbt, Databricks, Snowflake, BigQuery)
Deep experience with BI tools and modeling (e.g., Looker, Omni, Hex, Tableau, Mode)
Proficient with experimentation platforms and statistical libraries (e.g., Eppo, Optimizely, LaunchDarkly, scipy, statsmodels)
Proven ability to apply AI/ML tools — from core libraries (scikit-learn, PyTorch, TensorFlow) to GenAI platforms (ChatGPT, Claude, Gemini) and AI-assisted development (Cursor, GitHub Copilot)
Strong statistical foundation
Experience at an AI-native company, with exposure to building or scaling products powered by AI

Job Responsibility

Own and maintain core product data pipelines across DBT, Looker, and Omni
Build and refine dashboards that deliver self-serve, real-time insights
Lead the development and delivery of company-wide strategic insights
Partner with product and engineering teams to define tracking requirements and deliver launch-specific dashboards
Establish trusted partnerships as the go-to resource for product data insights
Collaborate with leadership to define the analytics roadmap and prioritize initiatives
Mentor junior team members and cross-functional partners
Support end-to-end analytics for all product launches
Deliver comprehensive strategic analyses or experiments
Lead or participate in cross-functional projects

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar
NLP development experience in a Data Scientist role or similar
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
Assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

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

Data Scientist

Synectic Solutions Inc

Location:
United States, Patuxent River

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 12, 2025

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