What are the responsibilities and job description for the Data Scientist position at Jobs via Dice?
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Details:
Client: Food & Beverages
Job Title: Data Scientist
Location: Miami, FL, Dallas, TX, Seattle, WA and Minneapolis, MN (Multiple offices)
Duration: 12 Months (Contract to hire)
Pay Range: $90.00/hr. - $100/hr.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)
Minimum Qualifications
Details:
Client: Food & Beverages
Job Title: Data Scientist
Location: Miami, FL, Dallas, TX, Seattle, WA and Minneapolis, MN (Multiple offices)
Duration: 12 Months (Contract to hire)
Pay Range: $90.00/hr. - $100/hr.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)
Minimum Qualifications
- Bachelor s degree in Statistics, Econometrics, Economics, Data Science, Computer Science, or a related quantitative discipline.
- 5 10 years of hands-on experience in data science, measurement science, or applied analytics.
- Advanced proficiency in R (preferred) or Python for statistical analysis, experimentation, and modeling.
- Experience working with Databricks, Redshift, or similar modern data platforms in production.
- Expertise in A/B testing, causal inference, and advanced modeling techniques.
- Strong business acumen with ability to collaborate across technical and non-technical stakeholders in a matrix environment.
- Master s degree or PhD in Statistics, Econometrics, Economics, Data Science, or related field.
- Experience in consumer-facing industries (e.g., retail, CPG, e-commerce, technology).
- Familiarity with AWS-based data architecture and scalable experimentation or causal inference frameworks.
- Experience working in industries with regulated or consumer-behavior-focused environments (e.g., alcohol beverage, tobacco, gaming).
Salary : $90 - $100