Data Scientist

Fidelity InvestmentsBoston, MA
Hybrid

About The Position

The Fraud Risk & Control Detection Team at Fidelity is seeking a Data Scientist to join their growing team. This role focuses on building innovative models for fraud detection. The Data Scientist will collaborate closely with data scientists, data engineers, technical leads, and product managers to transition machine learning models into production. The Fraud Risk & Control Detection team is composed of analysts, data scientists, and machine learning engineers dedicated to enhancing fraud detection capabilities within Fidelity. Fidelity is a privately held company committed to fostering a work environment that attracts and retains top talent, valuing diversity and inclusion.

Requirements

  • BS/MS in data science, statistics or similar quantitative field, OR 2+ years practical experience on the job
  • Hands on expertise in data extraction, cleaning, and preparation; feature extraction; model training and evaluation
  • Proven experience building analytics that deliver useful insights from large datasets
  • Proven track record of delivering production machine learning tools that solve business problems
  • Excellent programming skills in Python and Pandas
  • Excellent experience in standard machine learning approaches, statistics, Natural Language Processing (NLP) and deep learning techniques
  • Strong communication skills, you are able to work collaboratively with both technical and non-technical stakeholders to drive problem definitions and meet business requirements

Nice To Haves

  • Familiarity with Sagemaker and PyCharm
  • Building production ML model containers at scale (Docker, SageMaker, Flask, Aerospike)
  • Dashboarding capabilities (PowerBI, Tableau, Looker)

Responsibilities

  • Build data science applications from inception to production
  • Work well as part of an interdisciplinary team whose members will include data scientists, software engineers, data engineers and product managers
  • Present and communicate key findings and project progress to senior business leaders

Benefits

  • Comprehensive health care coverage
  • Emotional well-being support
  • Market-leading retirement
  • Generous paid time off
  • Parental leave
  • Charitable giving employee match program
  • Educational assistance including student loan repayment
  • Tuition reimbursement
  • Learning resources to develop your career
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