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Data Scientist

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Offer summary

Qualifications:

4+ years of experience with Python and data science libraries like pandas and scikit-learn., Strong SQL skills with the ability to write complex queries, preferably with Snowflake experience., Understanding of decision tree models and experience in applied machine learning., Familiarity with software engineering principles and maintaining ML models in production..

Key responsabilities:

  • Conduct SQL-based analysis to derive actionable insights for decision-making.
  • Maintain and optimize machine learning models and APIs in production.
  • Develop and automate ETL pipelines for data ingestion and transformation.
  • Create visualizations and reports to communicate findings to stakeholders.

Actriv Healthcare logo
Actriv Healthcare Human Resources, Staffing & Recruiting Large https://www.actriv.com/
1001 - 5000 Employees
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Job description

Join Us!
HealthCare.com has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, the company has developed customized proprietary products to better fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance.

About the Role
We are seeking aData Scientist to join our growing data science team as a part of the fast-paced Product division at Healthcare.com. This role combines data science, analysis, and engineering to deploy and optimize machine learning models that directly impact business performance.

Key Responsibilities
- Conduct SQL-based analysis using Snowflake to derive actionable insights and support decision-making.
- Maintain and optimize machine learning models, APIs, and decision-tree-based algorithms in production.
- Analyze unstructured logs generated by data science models and provide meaningful summaries.
- Develop and automate ETL pipelines in Airflow running on Kubernetes for data ingestion and transformation.
- Collaborate with engineering teams to optimize infrastructure and minimize model response times.
- Create clear visualizations, reports, or presentations to communicate findings to technical and non-technical stakeholders.
- Stay current with data science trends and apply best practices to improve model performance and efficiency.

Qualifications

Required:
• 4+ years of hands-on experience with Python (data science and engineering libraries such as pandas, numpy, scikit-learn, flask).
• Strong SQL skills with a proven ability to write complex queries (experience with Snowflake is a plus).
• Understanding of decision tree models (XGBoost, LightGBM, etc.) and experience in applied machine learning.
• Experience maintaining ML models in production and optimizing APIs.
• Solid understanding of software engineering principles (code optimization, version control, CI/CD).

Preferred:
• Familiarity with Airflow and Kubernetes for pipeline automation.
• Domain knowledge in health insurance, lead scoring, or online lead funnels.
• Knowledge of cloud platforms (AWS, GCP, or Azure).

Soft Skills:
• Strong analytical mindset and problem-solving ability.
• Excellent communication skills for cross-functional collaboration and presenting findings.
• Comfortable working in a fast-paced, dynamic environment with shifting priorities.
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!

Get to Know Us!
https://www.healthcare.com/
linkedin.com/company/healthcare-com

Required profile

Experience

Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Communication
  • Problem Solving

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