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Sr Data Scientist

3 weeks, 3 days ago
Anywhere
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Airflow CatBoost CI/CD Feature Engineering Kubernetes LightGBM MLOps Python Snowflake SQL XGBoost
Apply Now
Healthcare.com

Healthcare.com

HealthCare.com is a leading internet startup providing health insurance quotes and a search engine for healthcare consumers, helping users analyze and choose from a wide range of health insurance options.

Internet Software & Services
11-50
Founded 2006
$244M raised
View All Jobs 5

Description

  • Own and operate machine learning models in production, including monitoring, debugging, and iterative improvement.
  • Develop, train, and optimize models used in real-time or near-real-time bidding and decisioning systems.
  • Collaborate with product, engineering, and business stakeholders to clarify ambiguous problems, define success metrics, and translate business needs into technical solutions.
  • Design and implement feature engineering pipelines that balance model performance, latency, and maintainability.
  • Write production-quality Python code and work 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 (ETL, materialized tables, model inputs) as needed.
  • Make pragmatic tradeoffs between theoretical optimality and reliable, fast, shippable solutions.

Requirements

  • Strong Python experience writing code that runs in production systems.
  • Solid SQL skills and experience with analytical databases (Snowflake or similar).
  • Hands-on experience training and tuning tree-based models (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 development, staging, and production environments and operating with limited guidance.
  • Experience with feature engineering for tabular data and designing data engineering/ETL pipelines (preferred).
  • Experience with model monitoring, evaluation, debugging in production and improving model latency, reliability, or cost (preferred).
  • Prior technical leadership or mentoring experience and experience at smaller companies/small teams where you wore multiple hats (preferred).
  • Familiarity with Airflow, Kubernetes, or cloud infrastructure (preferred).

Benefits

  • Remote / opportunity to work from home
  • Medical, dental, and vision insurance
  • Up to 15 days of paid time off
  • 12 company-observed holidays
  • 401(k) plan with company match
  • Life insurance
  • Professional growth opportunities
  • Inclusive company culture

Interested in this position?

Apply directly on the company website

Apply Now

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