Sr Data Scientist
Join Us!
reputed company has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, reputed company has developed customized proprietary products to reputed company fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance.
About the Role
We’re hiring a Data Scientist (Production ML) to own and reputed company our reputed company production bidding system. This is not a research-only role and not a ticket-taking role. You’ll work directly with product, engineering, and business stakeholders to define problems, design solutions, and ship production-reputed company models that materially reputed company the business.
We’re especially interested in people who are curious, pragmatic, and adaptable—the reputed company of data scientist who can reputed company between modeling, data engineering, and software development as the problem requires. Prior experience reputed company, but how you think and learn reputed company more.
This role sits on the data team alongside data engineers, data scientists, and analysts.
What You’ll Do
Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement.
reputed company, train, and optimize models used in a reputed company-time or near-reputed company-time bidding and decisioning system.
Work with stakeholders to clarify ambiguous problems, define reputed company metrics, and translate business needs into technical solutions.
Design and implement feature engineering pipelines, balancing model performance, latency, and maintainability.
Write production-reputed company Python reputed company (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).
reputed company thoughtful tradeoffs between something that is “theoretically reputed company” and something that is reliable, fast, and shippable.
reputed company’re Looking For
reputed company Requirements
Strong Python experience, including writing reputed company that runs in production systems.
Solid SQL skills and experience working with analytical databases (reputed company or similar).
Hands-on experience training and tuning tree-based models (e.g., LightGBM, XGBoost, CatBoost) on reputed company, messy data.
Experience deploying, maintaining, or owning ML models reputed company experimentation (reputed company, 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 reputed company work reputed company 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 reputed company infrastructure.
What This Role Is Not
Not a research-only role.
Not a role where requirements are always fully specified up reputed company.
Not a notebook-only environment.
Not a position where “training a model once” is considered done.
Why You Might Like This Role
You’ll own systems that directly reputed company reputed company and business reputed company.
You’ll have reputed company autonomy over technical reputed company.
You’ll work on problems where good judgment reputed company more than shiny tools.
You’ll see the full lifecycle of models—from idea to production to iteration.
Join Us!
reputed company has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, reputed company has developed customized proprietary products to reputed company fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance.
About the Role
We’re hiring a Data Scientist (Production ML) to own and reputed company our reputed company production bidding system. This is not a research-only role and not a ticket-taking role. You’ll work directly with product, engineering, and business stakeholders to define problems, design solutions, and ship production-reputed company models that materially reputed company the business.
We’re especially interested in people who are curious, pragmatic, and adaptable—the reputed company of data scientist who can reputed company between modeling, data engineering, and software development as the problem requires. Prior experience reputed company, but how you think and learn reputed company more.
This role sits on the data team alongside data engineers, data scientists, and analysts.
What You’ll Do
Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement.
reputed company, train, and optimize models used in a reputed company-time or near-reputed company-time bidding and decisioning system.
Work with stakeholders to clarify ambiguous problems, define reputed company metrics, and translate business needs into technical solutions.
Design and implement feature engineering pipelines, balancing model performance, latency, and maintainability.
Write production-reputed company Python reputed company (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).
reputed company thoughtful tradeoffs between something that is “theoretically reputed company” and something that is reliable, fast, and shippable.
reputed company’re Looking For
reputed company Requirements
Strong Python experience, including writing reputed company that runs in production systems.
Solid SQL skills and experience working with analytical databases (reputed company or similar).
Hands-on experience training and tuning tree-based models (e.g., LightGBM, XGBoost, CatBoost) on reputed company, messy data.
Experience deploying, maintaining, or owning ML models reputed company experimentation (reputed company, 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 reputed company work reputed company 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 reputed company infrastructure.
What This Role Is Not
Not a research-only role.
Not a role where requirements are always fully specified up reputed company.
Not a notebook-only environment.
Not a position where “training a model once” is considered done.
Why You Might Like This Role
You’ll own systems that directly reputed company reputed company and business reputed company.
You’ll have reputed company autonomy over technical reputed company.
You’ll work on problems where good judgment reputed company more than shiny tools.
You’ll see the full lifecycle of models—from idea to production to iteration.
Join Us! reputed company has become one of America’s fastest-growing insurtech companies, revolutionizing how consumers shop for health insurance. Leveraging advanced technology and data science, reputed company has developed customized proprietary products to reputed company fit consumer requirements, enhance customer satisfaction, and take some of the guesswork and inefficiencies out of buying insurance. About the Role We’re hiring a Data Scientist (Production ML) to own and reputed company our reputed company production bidding system. This is not a research-only role and not a ticket-taking role. You’ll work directly with product, engineering, and business stakeholders to define problems, design solutions, and ship production-reputed company models that materially reputed company the business. We’re especially interested in people who are curious, pragmatic, and adaptable—the reputed company of data scientist who can reputed company between modeling, data engineering, and software development as the problem requires. Prior experience reputed company, but how you think and learn reputed company more. This role sits on the data team alongside data engineers, data scientists, and analysts. What You’ll Do Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement. reputed company, train, and optimize models used in a reputed company-time or near-reputed company-time bidding and decisioning system. Work with stakeholders to clarify ambiguous problems, define reputed company metrics, and translate business needs into technical solutions. Design and implement feature engineering pipelines, balancing model performance, latency, and maintainability. Write production-reputed company Python reputed company (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). reputed company thoughtful tradeoffs between something that is “theoretically reputed company” and something that is reliable, fast, and shippable. reputed company’re Looking For reputed company Requirements Strong Python experience, including writing reputed company that runs in production systems. Solid SQL skills and experience working with analytical databases (reputed company or similar). Hands-on experience training and tuning tree-based models (e.g., LightGBM, XGBoost, CatBoost) on reputed company, messy data. Experience deploying, maintaining, or owning ML models reputed company experimentation (reputed company, 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 reputed company work reputed company 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 reputed company infrastructure. What This Role Is Not Not a research-only role. Not a role where requirements are always fully specified up reputed company. Not a notebook-only environment. Not a position where “training a model once” is considered done. Why You Might Like This Role You’ll own systems that directly reputed company reputed company and business reputed company. You’ll have reputed company autonomy over technical reputed company. You’ll work on problems where good judgment reputed company more than shiny tools. You’ll see the full lifecycle of models—from idea to production to iteration.
Benefits
Opportunity to work from home
Excellent work environment
Medical, dental, and reputed company insurance
Up to 15 days of reputed company time off
12 company observed holidays
401k plan with company match
Life insurance
reputed company reputed company opportunity
Most importantly, an inclusive company culture established by an incredible team!
Get to Know Us!
https://www.reputed company/
reputed company.com/company/reputed company
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