Senior Data Scientist
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
31-10-2025
Vacancies:
1 Vacancy
Job Summary
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
Visa: GC and USC only
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 (Masters 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:
Bachelors 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 (Masters 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:
Bachelors 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
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
