Mid Level Data Scientist Jobs
Mid level data scientist jobs go to analysts ready to own pipelines end to end, translate findings into decisions, and guide junior teammates with limited oversight. Openings are spread across on-site, remote, and hybrid settings in Technology & Software, Retail, and Banking & Financial Services, with JPMorganChase, Whatnot, and Amazon hiring at this level now.
Find Mid Level Data Scientist JobsOverview
Showing 5 of 233+ Mid Level Data Scientist jobs











Location:
4910 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
Under manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.
ESSENTIAL JOB FUNCTIONS
- Under manager’s oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC
- Research, compile and evaluate large sets of data to assess quality and determine suitability for model building
- Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
- Document model development process and outcomes properly and support model validation and review
- Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
- Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners
REQUIRED QUALIFICATIONS
- Master’s or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 4 years with bachelor's degree
- Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
- Hands-on work experience with statistical coding in SAS and/or Python
- Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
- Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
- Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience
Candidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NY
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 10/28/2026
KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
LI-Hybrid
See All 233+ Mid Level Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Mid Level Data Scientist JobsMid Level Data Scientist Job Market
Who's Hiring
- JPMorganChase10

- Whatnot8

- Amazon8

- Lyft7

- TikTok7

Top Industries Hiring
- Technology & Software85
- Retail18
- Banking & Financial Services13
- Consulting & Professional Services11
- Healthcare & Medical Services10
Mid Level Data Scientist Jobs: Frequently Asked Questions
How do I get a mid level data scientist job?
Position yourself around ownership: applications that show you drove a project from data collection through production deployment stand out. Highlight work where your analysis changed a business decision, not just where you ran models. Tailor your resume to the domain the employer works in, and be ready to walk through your methodology and results in detail during interviews.
Which companies hire mid level data scientists?
Companies hiring mid level data scientists right now include JPMorganChase, Whatnot, and Amazon, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a mix of established technology firms, financial services companies, healthcare organizations, and fast-growing startups that need scientists who can work independently and deliver without heavy supervision.
Are there remote mid level data scientist jobs?
Yes, remote and hybrid options are common at this level. About 46% of mid level data scientist openings are remote or hybrid as of September 2026, reflecting how many data teams have shifted to distributed work. Fully on-site roles still exist, particularly in regulated industries like healthcare and finance where data governance is stricter.
How do I move up to a mid level data scientist role?
Growth from entry level to mid level comes from accumulating ownership, not just time. Focus on leading a project end to end, building something that other teams depend on, and quantifying the impact of your work in business terms. Deepening expertise in one domain or technique, such as NLP, causal inference, or ML deployment, also accelerates the transition and gives hiring managers a clear reason to level you up.
Which industries hire the most mid level data scientists?
Mid Level data scientist roles concentrate in Technology & Software, Retail, and Banking & Financial Services, based on current listings on Migrate Mate as of September 2026. Those sectors drive hiring at this level because they generate large, complex datasets that require scientists who can work independently, build reliable pipelines, and connect analytical outputs directly to product or operational decisions.