Job Closed
This listing is no longer active.
Work with us! Now hiring across the globe.
Senior Data Scientist
Location
Connecticut + 3 moreAll locations: Connecticut | New Jersey | New York | Massachusetts
Posted
116 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
HealthCare.com
• Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement. • Develop, train, and optimize models used in a real-time or near-real-time bidding and decisioning system. • Work with stakeholders to clarify ambiguous problems, define success metrics, and translate business needs into technical solutions. • Design and implement feature engineering pipelines, balancing model performance, latency, and maintainability. • Write production-quality Python code (not just notebooks) and collaborate with engineering on deployment, CI/CD, and system design. • Analyze model behavior using logs, metrics, and offline analysis to identify performance issues and opportunities. • Contribute to data pipelines and infrastructure where needed (e.g., ETL, materialized tables, model inputs). • Make thoughtful tradeoffs between something that is “theoretically optimal” and something that is reliable, fast, and shippable.
Job Requirements
- Strong Python experience, including writing code that runs in production systems.
- Solid SQL skills and experience working with analytical databases (Snowflake or similar).
- Hands-on experience training and tuning tree-based models (e.g., LightGBM, XGBoost, CatBoost) on real, messy data.
- Experience deploying, maintaining, or owning ML models beyond experimentation (APIs, batch jobs, or streaming systems).
- Comfort working across dev, staging, and production environments.
- Ability to operate with limited guidance: you can ask good questions, propose solutions, and move work forward independently.
- Bonus Skills
- Experience at a smaller company or on a small team where you wore multiple hats.
- Depth in one or more of:
- Gradient boosted models and performance optimization
- Feature engineering for tabular data
- Data engineering / ETL design
- Model monitoring, evaluation, and debugging in production
- Experience improving model latency, reliability, or cost—not just accuracy.
- Prior technical leadership or informal mentoring experience.
- Familiarity with Airflow, Kubernetes, or cloud infrastructure.
Benefits
- Opportunity to work from home
- Excellent work environment
- Medical, dental, and vision insurance
- Up to 15 days of paid time off
- 11 company observed holidays
- 8 weeks of paid parental leave
- 401k plan with company match
- Life insurance
- Professional growth opportunity
- Most importantly, an inclusive company culture established by an incredible team!
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
Flood Modeler
Jupiter IntelligenceJupiter is the trusted leader in climate risk analytics, turning sophisticated climate science into actionable data.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Jupiter seeks a highly skilled Flood Modeler (contract), with a specialized focus on development and execution of shallow water flood models to support our high-resolution flood modeling pipelines. The purpose of this role is to develop and deploy complex modeling frameworks to simulate and predict flood risk on commercial cloud platforms. This role will involve: - Deploying algorithms for numerical simulation/prediction of flood risk resulting from rainfall, river flow, and coastal storm surge. - Troubleshooting complex algorithms. - Applying code iteratively to test new settings. - Contributing to process workflows. - Assuring quality of output. This role is a critical piece of the team delivering data that forms the backbone of Jupiter products. Qualifications - Master’s degree in Civil/Environmental Engineering, Coastal Engineering, Water Resources, Fluid Mechanics, Hydrology or related field. - Bachelor's degree plus 3-5 years experience also considered. Requirements - 2-dimensional flood model design and deployment (e.g. HEC-RAS, LISFLOOD, TUFLOW, Telemac, or similar). - Model parameter optimization. - Model validation and verification. - Geospatial data processing (QGIS, ArcGIS). - Strong knowledge of Python and experience with libraries such as NumPy, GDAL, Rasterio, Xarray, and Pandas. - Familiarity with software engineering best practices and cloud computing. - Fortran experience a plus. - Experience modeling channel, coastal and floodplain inundation hydrodynamics. - Experience scaling computational methods for large-scale processing (Docker containers, Kubernetes, AWS EC2, Dask, multiprocessing). Benefits - $50 - $55 an hour.
• Align with business, clinical, and technology stakeholders on analytics strategies • Assist the EM/AP to develop contracts, statement of work (SOW), targeted proposals • Manage the intake of such initiatives & client requests and assist the EM/AP to develop proposals • Provide information and data analytics for and report to the EM or research leader • Work with Senior Vice President (SVP), Business Development to assist with sales calls • Prepare and coordinate the necessary materials for each client meeting • Develop, coordinate, and organize business and meeting schedules for BD team members
• Designing and enhancing risk-based analytic models to identify high-risk providers, services, and utilization pattern • Conducting exploratory and targeted data analyses to support CMS program integrity initiatives • Supporting development of dashboards, visualizations, and reporting products for CMS leadership and technical staff • Collaborating with the prime contractor and CMS to refine analytic methodologies, assumptions, and outputs • Translating analytic results into clear findings, documentation, and recommendations usable by non-technical audiences
Data Scientist – Senior
EQT CorporationOur mission is to deliver cheaper, more reliable, cleaner energy to the world.
• Lead complex analytics initiatives requiring advanced scripting and analytical methods. • Design, build, and maintain analytical solutions using SQL, Python, and R. • Contribute across the full analytics lifecycle: discovery, design, development, validation, and refinement. • Define and enforce enterprise-wide analytics and coding standards, including governance of citizen-developed solutions. • Conduct code reviews to ensure quality, performance, maintainability, and alignment with standards. • Develop reusable Python and R packages, shared SQL patterns, and analytical frameworks. • Support business partners with advanced analytical needs beyond standard BI reporting. • Apply advanced statistical and analytical techniques to solve complex business problems. • Selectively apply AI/ML techniques where they deliver clear business value. • Collaborate with Data Engineers and Architects to ensure alignment with data models, pipelines, and governance. • Clearly communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders. • Stay current with emerging analytics technologies and assess applicability.
