Senior Data Scientist
At a glance
Senior Data Science role at Fidelity. Boston · full-time · $97,000–$185,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Develop fraud-detection models and take data science applications from initial design through production
- Prepare and explore datasets, create useful features, then train and assess machine-learning models
- Coordinate with data scientists, engineers, technical leads and product managers to define problems and meet business needs
- Share project progress and important findings with senior business leaders
What you bring
- A relevant quantitative master’s degree plus four or more years of practical experience, or a doctorate plus two or more years
- Practical skills across data preparation, feature creation, model training and evaluation
- Strong Python and Pandas skills, with experience in machine learning, statistics, NLP and deep learning
- A record of turning large datasets into useful insights and delivering production machine-learning tools
Who this fits
This role suits a senior data scientist who can carry fraud models into production and work across technical and business teams. The position is based in Boston and has an onsite model that may vary by role and location. Fidelity will not sponsor immigration for this position.
From the employer
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
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.
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
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science$90k+
Find me workBy the team behind dataroles.