Jefferies
Data Scientist – Equity Research
New York, NY, United States · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$15,835 more — $115,835 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $115,835 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 55%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The Jefferies Equity Research Data Strategy Team is a global team embedded within the Equity Research department, responsible for shaping and executing the department's data and AI strategy.
- We help integrate AI capabilities into analysts' daily workflows and ensure that first- and third-party datasets are fully AI-accessible to them.
- Statistics, data engineering, data science, and AI are cornerstones of our work.
Responsibilities
- Query, transform, analyze, and combine large datasets in support of solving problems and implementing research ideas across sectors and data categories, occasionally developing statistical models to predict outcomes
- Maintain and build relationships with key internal and external stakeholders, including research teams, third-party data vendors, management, and possibly buy-side clients
- On the AI side, our team is responsible for building internal generative AI tooling along with evaluating third-party AI models and tools to enhance our analysts' work.
- As a Data Scientist at Jefferies, your focus will be to support the Research Analysts and the Data Strategy Team's broader platform.
Requirements
- STEM degree with preference for Computer Science, Data Science, Engineering, Statistics, Quantitative Finance, and related disciplines
- Strong proficiency with Python, intermediate or better proficiency with SQL and/or Apache Spark
- Experience analyzing and visualizing large datasets
- Experience with AI-assisted development (Claude Code, GitHub CoPilot, Cursor, etc.)
- Familiarity with LLMs, LangChain, vector databases, and RAG pipelines
- Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders
- Experience with Databricks or Snowflake and cloud platforms such as AWS
- Experience with Atlassian project management tools (JIRA, Confluence, Bitbucket)
- Experience with knowledge graphs
Compensation
- Primary Location Full Time Salary Range of $100,000 - $120,000.
Company info
- Overview The Jefferies Equity Research Data Strategy Team is a global team embedded within the Equity Research department, responsible for shaping and executing the department's data and AI strategy.
This listing is sourced directly from Jefferies's careers page and normalized into a canonical job model.