Guardian Life

Senior Data Scientist, AI Studio

Guardian Life

full-time

Posted on:

Location Type: Hybrid

Location: BostonConnecticutMassachusettsUnited States

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Salary

💰 $118,980 - $195,465 per year

Job Level

Tech Stack

About the role

  • Lead use case/workstream with junior data scientists
  • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation
  • Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
  • Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
  • Identification of source data and data quality checks both in model/solution development and in production
  • Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Propose innovative ways to look at problems through using data mining and data visualization
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Present information using data visualization techniques; communicate results and ideas to key decision makers
  • Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies

Requirements

  • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
  • 3+ years of hands-on ML modeling/development experience
  • Solid understanding of data analysis and statistical modeling
  • Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.)
  • Demonstrated track records in experimental design and executions
  • Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions
  • Strong programming skills in Python
  • Solid background in algorithms and a range of ML models
  • Excellent analytical and problem-solving abilities with superb attention to detail
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Professional development opportunities
  • Paid time off
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data wranglingETLmachine learningpredictive modelingdata analysisstatistical modelingPythondata visualizationfuzzy matchingregular expression
Soft Skills
analytical abilitiesproblem-solvingattention to detailcommunicationstakeholder engagementinnovationcollaborationleadership
Certifications
PhDMaster's degree