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Seasonal Applied Data Analytics Jobs (NOW HIRING)

Applied Data Scientist

Cincinnati, OH ยท On-site

$109K - $197K/yr

Excellent analytical and problem-solving skills, with a keen attention to detail. * Strong ... Familiarity with data integration, data cleaning, and linking methodologies. * Knowledge of MLOps ...

$109K - $197K/yr

Excellent analytical and problem-solving skills, with a keen attention to detail. * Strong ... Familiarity with data integration, data cleaning, and linking methodologies. * Knowledge of MLOps ...

Applied Data Scientist

Livonia, MI ยท On-site

$109K - $197K/yr

Excellent analytical and problem-solving skills, with a keen attention to detail. Strong ... Familiarity with data integration, data cleaning, and linking methodologies. Knowledge of MLOps ...

Applied Data Scientist

Cincinnati, OH ยท On-site

$109K - $197K/yr

Excellent analytical and problem-solving skills, with a keen attention to detail. * Strong ... Familiarity with data integration, data cleaning, and linking methodologies. * Knowledge of MLOps ...

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Staff Applied Data Scientist

Austin, TX โ€ข On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
Steadily is a fast-growing company that manages over $20 billion in risk and is seeking a Staff Applied Data Scientist to join their Engineering team. In this role, you will identify and evaluate trends across large data sets and build, evaluate, and deploy machine learning models to improve product outcomes and operations.
Responsibilities:
โ€ข Design, build and evolve data sets and models with an emphasis on scalability, quality and maintainability, identifying the appropriate technique and approach to meet the needs of the business. Focus areas could be estimating risk at the property level, how to accurately assess property costs and using aerial image analysis or modelling techniques to identify individual attributes that feed into other models.
โ€ข Own and lead exploration and implementation of new areas of science application in our product ecosystem to better predict risk both on a per-insured level and in aggregate across the entire portfolio.
โ€ข Write clean, maintainable R/Python code, setting a high bar for quality and adherence to best practices.
โ€ข Partner closely with Engineering, Product, Operations and Business teams to design reliable solutions across systems.
โ€ข Provide excellent metrics and visibility into model quality, bias and performance to assess how itโ€™s helping the business ensure a high bar of scientific rigor and evaluation.
Qualifications:
Required:
โ€ข 5+ years experience applying Data Science methods to production problems.
โ€ข Ability to dive into a complex codebase without too much spin-up.
โ€ข Experience as a team lead is a plus.
โ€ข Write clean, maintainable R/Python code, setting a high bar for quality and adherence to best practices.
โ€ข Partner closely with Engineering, Product, Operations and Business teams to design reliable solutions across systems.
โ€ข Provide excellent metrics and visibility into model quality, bias and performance.
Preferred:
โ€ข Actuarial experience, or experience applying models to risk evaluation and aggregation problems.
โ€ข Experience in vision photo analysis.
Company:
We built Steadily to serve landlords who want their insurance to work like other modern tools they love: fast and affordable with excellent service. Founded in 2020, the company is headquartered in Beaverton, USA, with a team of 51-200 employees. The company is currently Growth Stage.