Lead Data Scientist

Mitchell Martin
Chicago, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 175K

Job location

Remote
Chicago, United States of America

Tech stack

Big Data
Distributed Systems
Machine Learning
Cloud Services
SQL Databases
Machine Learning Operations

Job description

Join our team as a Lead Data Scientist in a remote role based in the USA. This full-time position involves leading a team to develop and implement advanced marketing models. You will work with statistical methods and manage large datasets using generic programming languages.

Key Responsibilities Design and develop sales response models using various factors at a granular level. Apply statistical techniques to balance data constraints and stabilize estimates. Build media transformation pipelines to estimate sales metrics for investment. Create scalable estimation pipelines for large datasets. Present model outputs and make informed recommendations to stakeholders.

Requirements

Master''s degree in a quantitative field; PhD preferred. Minimum 4 years of experience in statistical or econometric modeling. Minimum 8 years of experience in machine learning and MLOps. Expertise in Bayesian statistics and classical econometrics. Proficiency in generic programming languages for large-scale model estimation.

Core Technologies Generic Programming Language | Distributed Computing Framework | SQL | Cloud Data Platforms

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