Fidelity Investments Logo

Fidelity Investments

Data Scientist

Posted Yesterday
Be an Early Applicant
In-Office
Boston, MA, USA
83K-158K Annually
Junior
In-Office
Boston, MA, USA
83K-158K Annually
Junior
Build and productionize fraud detection models and data science applications. Responsibilities include extracting and preparing data, feature engineering, model training and evaluation, developing scalable machine learning tools, generating insights from large datasets, and collaborating with data scientists, engineers, technical leads, and product managers. Present findings and project progress to senior business leaders.
The summary above was generated by AI

Fidelity will not provide immigration sponsorship for this position.

Job Description:

Job Description 


Fraud Risk & Control Detection Team is looking for a Data Scientist to join a growing team. The team’s focus is building innovative models for fraud detection. This role will be responsible for working closely with data scientists, data engineers, technical leads and product managers to bring game-changing models to production. 


The Team 


Fraud Risk & Control Detection is a growing team of analysts, data scientists, and machine learning engineers building out fraud detection capacities within Fidelity.  

  

The Expertise You Have 

  • 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 

The Skills You Bring  

  • Excellent programming skills in Python and Pandas.  
  • Familiarity with Sagemaker and PyCharm is a plus. 
  • 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 
  • Bonus points for building production ML model containers at scale (Docker, SageMaker, Flask, Aerospike) 
  • Bonus points for dashboarding capabilities (PowerBI, Tableau, Looker) 

The Value You Deliver  

  • 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. 
  • Be able to present and communicate key findings and project progress to senior business leaders 


Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $83,000-158,000 USD per year.  

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.   

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home.  These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.  Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:

Category:Data Analytics and Insights
HQ

Fidelity Investments Boston, Massachusetts, USA Office

245 Summer St, Boston, MA, United States, 02210

Similar Jobs

4 Days Ago
Hybrid
Boston, MA, USA
155K-410K Annually
Expert/Leader
155K-410K Annually
Expert/Leader
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads healthcare payer data science and modernization initiatives, developing predictive models, statistical analyses, and scenario-based insights from claims, reimbursement, utilization, and member experience data. Directs multiple analytical workstreams, advises executive clients, guides cross-functional teams, supports transformation roadmaps, and promotes responsible AI use. The role also shapes thought leadership, business growth, operational improvement, and delivery quality across payer advisory engagements.
Top Skills: Artificial IntelligenceEpicFacetsNascoOracle OhiPredictive ModelingStatistical Analysis
6 Days Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
178K-232K Annually
Senior level
178K-232K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
Lead the development of deep learning and computer vision models for MRI, X-ray, CT, and PET medical imaging in clinical trials. Build image processing pipelines, analyze disease progression and treatment response, develop imaging biomarkers, integrate AI into trial workflows, support FDA-compliant endpoints, and present findings to clinical, regulatory, executive, and external stakeholders.
Top Skills: 3D Image ReconstructionCnnsComputer VisionCtDeep LearningDicomFederated LearningMriPetPythonPyTorchRadiomicsTensorFlowU-NetVision TransformersX-Ray
6 Days Ago
Easy Apply
Hybrid
Boston, MA, USA
Easy Apply
162K-267K Annually
Mid level
162K-267K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
Lead data science initiatives supporting drug development, including patient stratification, biomarker identification, therapeutic hypothesis evaluation, clinical trial optimization, and AI agent development. The role applies machine learning, computational biology, and advanced analytics to biomedical data while collaborating with clinical, research, and engineering teams. Responsibilities also include presenting complex findings to senior stakeholders and contributing to production-oriented AI solutions.
Top Skills: BioinformaticsCloud ComputingDeep LearningGraph DatabasesLarge Language ModelsMachine LearningPythonTabular Databases

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account