Bind Benefits
  • - Design - Engineering (Data Science)
  • Minneapolis, MN, USA
  • Full Time

Bind was formed in 2016 by veteran health insurance innovators passionate about making health insurance personal - with the clarity, flexibility and power people deserve.

Want to move mountains?

Bind took the old model of health insurance apart and is rebuilding it - from floor to ceiling, from studs to rafters. We're not iterating a tired design or nudging a change-resistant industry, we're delivering what people want now - clear prices, timely support, personal choice and flexibility and an awesome, intuitive experience.

Where different wins.

Help build different and make a difference. Become a Binder and help us revolutionize health insurance.

Data Science Engineer - Minneapolis, SF or NYC

Summary

Our team is growing! Our Data Science Engineer will develop data and applications system based on structured & unstructured data to solve multiple & complex business problems utilizing advanced data processing techniques & coding development principles & specialized expertise in organization and/or industry using Python/Spark/pySpark.

The Bind Data Science Engineer directs and participates as an active, hands-on member of a team of Data Scientists to design, develop, and implement end-to-end cloud-based machine learning production data pipelines (system development, data exploration, software development, sampling, training data generation, feature engineering, model building, and performance evaluation). We are open to this role being in Minneapolis, New York, or San Francisco.

Responsibilities

  • Develop an end-to-end Python Machine Learning production deployment pipeline
  • Ensure that data pipelines and analytics are scalable, repeatable, secure, and can serve multiple users within the company
  • Design and manage the processing of large sets of data using multiple platforms (S3/Redshift)
  • Code, test, and document new or modified Machine Learning and Data systems to create robust and scalable applications for data analytics
  • Partner with Data Science team and organizational stakeholders to develop and execute Data Systems, Analytic Products, and Modeling strategies

Requirements

  • Bachelor's degree in Information Technology, Mathematics, Machine Learning, Computer Science, Physics, or a related quantitative discipline required
  • 5 - 7 years of related experience
  • Masters with statistical background preferred or, PhD in related field with quantitative and statistical experience
  • Must be proficient working with large datasets in SQL as well as Python
  • Experience working with a team of Data Scientists
  • Demonstrated experience with agile or other rapid application development methods
  • Experience with developing predictive models using machine learning methods; performing data quality assessment, data integration & transformation in preparation for analytics modeling
  • Knowledge of data modeling and understanding of different data structures
  • Analytics abilities including, summarizing data for stakeholder feedback and business intelligence applications
  • Willingness and interest to work with various Cloud Based and Open Source technologies (AWS, Redshift, S3, GitHub, Linux, etc.)

Preferred Qualifications

  • Masters with statistical background preferred; or, PhD in related field with quantitative and statistical experience
  • Health Insurance/Heath Care industry experience strongly preferred
  • Startup experience
  • Working in an ambiguous, fast-paced environment
  • Agile, ready to change direction on the fly

What We're Offering

  • Chance to join a new tech start-up aiming to fix the healthcare industry
  • Empowerment to shape new solutions disrupting healthcare while providing benefits and choice to its members
  • Flexible work-from-home schedule to support work-life balance
  • Opportunity to work with people who are motivated to go to work every day and make a difference
  • Equity, competitive pay, generous PTO, and the opportunity to be a part of a new health insurance plan powered by the consumer, you!

Diversity creates a healthier atmosphere. Bind is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. Bind is a drug-free workplace.

Bind sponsors H-1B visas for current H-1B visa holders on a limited basis, other visa sponsorship not available.

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