Senior Data Scientist I
Role details
Job location
Tech stack
Job description
- Build models, perform analytics, and create AI features. Work across coding languages used in Data Science (e.g. Python, SQL, Java, C++, R, SAS, and/or Scala) and choose the right coding language to implement the solution to answer the business questions. Serve as a domain expert in Data Science and/or Statistical Analyses to build advanced models and roll into production and execute team's Data Science best practices. Scope out and execute new statistical steps with support/approval from senior contacts. Summarize and communicate conclusions and solutions to analytic and non-analytic stakeholders. Offer mentor support to more junior Data Scientist. Perform other duties as needed.
Requirements
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Master's degree (or foreign equivalent) in Statistics, Data Science, or a related field required.
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2 years of experience in job offered or related occupations required.
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Also required is: 2 years of experience: Demonstrating ability for data analysis and machine learning using languages such as Python or R; conducting statistical analysis and correlation analysis for interpreting data and drawing conclusions; using machine learning algorithms and artificial intelligence techniques; and creating data visualizations using tools like Tableau, Power BI, or Matplotlib.
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Employee reports to LexisNexis Risk Solutions FL, Inc. office in San Diego, CA, but may telecommute from any location within the U.S.
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Experience can be concurrent.
SALARY RANGE FOR REQ# R115203