Hybrid Data Scientist I

Posted 2 weeks ago

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About the role

  • Produces standard and ad hoc analytic reports.
  • Assists with developing, testing, and documenting open-source codes for data analysis and modeling.
  • Performs data analysis tasks, which include programming data transformations, interpreting results and investigating root causes.
  • Participates in the creation of Internal model validation procedures, supporting external Model Validations, and performing regular model validation as part of the Model Risk Management program.
  • Explore and aggregate data independently to uncover data anomalies that impact algorithm performance.
  • End to end feature engineering - brainstorm, create, validate, down-select, etc.
  • Write production level code in a dynamic, fast paced environment.
  • Apply a variety of machine learning techniques to a business problem to arrive at optimal approach.
  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
  • Partnering with Sales and Products to perform Customer Value tests to support the company’s business development efforts for current and future Models.
  • Explain and visualize results and algorithm performance to non-technical audiences.
  • Support the company's commitment to protect the integrity and confidentiality of systems and data.

Requirements

  • Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field or equivalent work experience.
  • A minimum of 2 years data science, engineering, mathematics, or related work/ intern/ course experience is required with Bachelor's degree or Master's degree without experience (or some internship).
  • Able to write Model development technical documents.
  • Willingness to troubleshoot system/data issues hindering the analytics environment functionality.
  • Experience using data visualization tools.
  • Able to write production level code, which is well-written and explainable.
  • SAS, Python, SQL or R programming training or experience.
  • Experience applying various machine learning techniques and understanding the key parameters that affect their performance.
  • Ability to effectively communicate findings from complex analyses to non-technical audiences.
  • Ability to communicate with various levels of employees within the department and proven technical and analytical skills.
  • Ability and adaptability to work on multiple projects concurrently, manipulate large data sets and produce business-relevant results.
  • Background and drug screen

Benefits

  • Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
  • 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
  • Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
  • 12 weeks of Paid Parental Leave
  • Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

Job title

Data Scientist I

Job type

Experience level

JuniorMid level

Salary

$83,000 - $110,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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