Overview
On Site
Contract - Independent
Contract - W2
Contract - To Hire
Skills
Finance
Amazon Web Services
Translate
Best Practices
Python
Data Science
Statistics
Databricks
Statistical Modeling
Redshift
Experimental Design
Job Details
Job Title: Senior Data Scientist
Location: Miami, FL/Dallas, TX/Seattle, WA/Minneapolis, MN(Hybrid)
Job Type: Contract Hire W2
Location: Miami, FL/Dallas, TX/Seattle, WA/Minneapolis, MN(Hybrid)
Job Type: Contract Hire W2
Must-Have Skills
5 10 years of experience in measurement, attribution, or applied data science.
Proficiency in R (preferred) or Python for statistical modeling and experimentation.
Experience with modern data platforms such as Databricks and Redshift in production environments.
Expertise in A/B testing, causal inference, and advanced modeling techniques.
Ability to work across technical and non-technical teams in a matrixed environment.
**Preferred Qualifications:
Advanced degree (Master's or PhD) in Statistics, Econometrics, Economics, Data Science, or a related field.
Experience applying measurement science in consumer-facing industries.
Familiarity with AWS-based infrastructure and scalable experimentation frameworks.
Experience in the alcohol beverage industry or similar consumer sectors.
Education and Experience:
Bachelor's degree in Statistics, Econometrics, Economics, Data Science, or a related field.
Overview:
We are seeking a Senior Data Scientist to develop and apply advanced measurement and attribution models. This role focuses on causal inference, experimentation, and performance evaluation to support strategic decision-making across Digital, Commercial, Finance, and Technology teams.
Responsibilities:
Build and apply attribution and causal models (e.g., multi-touch attribution, experimental design).
Design and analyze experiments to evaluate program effectiveness and user behavior.
Apply best practices in causal inference and statistical modeling.
Translate business objectives into measurable outcomes.
Deliver insights on performance, lifetime value, and incremental impact.
Collaborate with cross-functional teams to implement measurement frameworks.
Thanks and Regards,
Murali Sharma
5 10 years of experience in measurement, attribution, or applied data science.
Proficiency in R (preferred) or Python for statistical modeling and experimentation.
Experience with modern data platforms such as Databricks and Redshift in production environments.
Expertise in A/B testing, causal inference, and advanced modeling techniques.
Ability to work across technical and non-technical teams in a matrixed environment.
**Preferred Qualifications:
Advanced degree (Master's or PhD) in Statistics, Econometrics, Economics, Data Science, or a related field.
Experience applying measurement science in consumer-facing industries.
Familiarity with AWS-based infrastructure and scalable experimentation frameworks.
Experience in the alcohol beverage industry or similar consumer sectors.
Education and Experience:
Bachelor's degree in Statistics, Econometrics, Economics, Data Science, or a related field.
Overview:
We are seeking a Senior Data Scientist to develop and apply advanced measurement and attribution models. This role focuses on causal inference, experimentation, and performance evaluation to support strategic decision-making across Digital, Commercial, Finance, and Technology teams.
Responsibilities:
Build and apply attribution and causal models (e.g., multi-touch attribution, experimental design).
Design and analyze experiments to evaluate program effectiveness and user behavior.
Apply best practices in causal inference and statistical modeling.
Translate business objectives into measurable outcomes.
Deliver insights on performance, lifetime value, and incremental impact.
Collaborate with cross-functional teams to implement measurement frameworks.
Thanks and Regards,
Murali Sharma
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.