Senior Data Scientist
ExlService.com
United States · Posted May 15, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at ExlService.com
More in All Senior Data Scientist jobs (225) · Professional Services & Consulting · Data & Analytics jobs
More roles at ExlService.com
Similar jobs
- Lead Data Scientist · Mercury General
- Data Scientist - Talent Analytics & Organizational Research · Peraton
- Data Scientist, Credit Risk Analytics (Sr. level open) · Prosper Marketplace
- Lead Machine Learning Scientist · Dave
- Staff Machine Learning Scientist · Dave
- Lead Data Analyst · Quinstreet
Data & Analytics jobs in the rankings
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 84 open senior data scientist listings that state pay, the middle half runs $154,000 to $215,000 and the median is $190,000.
Listed pay is what employers advertise, not what people are paid.
Senior Data Scientist salaries by state · Check your own pay
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Role Overview
We are looking for a Senior Manager – Data Science (Econometrics & Time Series) to lead advanced analytical initiatives for a major Telecommunications client.
This role is heavily focused on econometric modeling, time series analysis, and causal inference, with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate brings deep expertise in statistical modeling and is comfortable working with large-scale data environments.