Fidelity Investments Logo

Fidelity Investments

Senior Data Scientist

Sorry, this job was removed at 03:32 p.m. (CST) on Wednesday, Jul 22, 2026
In-Office
Westlake, TX
97K-185K Annually
In-Office
Westlake, TX
97K-185K Annually

Similar Jobs

6 Days Ago
Hybrid
110K-190K Annually
Senior level
110K-190K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Build end-to-end AI/ML solutions for customer care: frame problems, explore data, prototype and deploy models (ML, deep learning, GenAI/LLM), evaluate experiments, collaborate with product/engineering/operations, and communicate results to drive measurable impact.
Top Skills: Deep LearningGenaiLlmNeural NetworksPythonRelational DatabasesSQL
7 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
135K-165K Annually
Senior level
135K-165K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead end-to-end development and deployment of predictive and hybrid deep learning/LLM models for insurance use cases. Prototype, validate, and productionize models using modern ML frameworks and MLOps, collaborate with product and engineering, and communicate technical results to stakeholders to drive measurable business impact.
Top Skills: APIsAWSAzureCi/CdDatabricksDockerExperiment TrackingFederated LearningGCPJupyterLightgbmLlmsModel ServingNeural NetworksNumpyPandasPipeline OrchestrationPythonPyTorchRelational DatabasesScikit-LearnSQLTensorFlowTime Series ModelingTransformersXgboost
9 Days Ago
Easy Apply
Hybrid
Easy Apply
185K-230K Annually
Senior level
185K-230K Annually
Senior level
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
Design, validate, and deploy machine learning models and custom analytic algorithms across image, video, text, geospatial, time-series, and structured data. Work with engineers to implement AI solutions for cloud and edge, monitor model performance, manage drift, and sustain production systems in secure government environments.
Top Skills: Ci/CdDockerGitKubernetesPythonPyTorchScikit-LearnTensorFlow
Job Description:

 Note: Fidelity will not provide immigration sponsorship for this position.

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 

 

Frad 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 

  • MS in data science, statistics or similar quantitative field, and 4+ years practical experience on the job 

  • PhD in data science, statistics or similar quantitative field, and 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 $97,000-185,000 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

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account