Job Description
Optomi, in partnership with a leading consulting firm, is seeking two Data Scientists, one for their New York City, NY location and one for their Cupertino, CA location. The Data Scientists will support business-facing product analytics initiatives. The ideal candidate will leverage statistical analysis, machine learning techniques, and experimentation frameworks to solve business problems, deliver actionable insights, and provide recommendations around AI/LLM opportunities. This is not a deep AI engineering role, but rather a data science position focused on analytics, experimentation, and business impact. This is a hybrid, 12-month contract role.
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What the right candidate will enjoy!!!
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- The ability to remotely for two days a week!
- Highly collaborative team working closely with business stakeholders!
- Working with cutting-edge technologies!
- Fast-paced, data-driven environment!
- A team that values strong communication and the ability to translate technical findings into business recommendations!
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Experience of the right candidate:
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- 5-7 years of Data Science experience with a strong focus on business-facing product analytics.
- Strong SQL and Python skills.
- Experience working with large datasets; Spark experience highly desired.
- Hands-on experience designing, executing, and analyzing A/B tests.
- Understanding of AI/LLM capabilities and the ability to recommend business use cases.
- Strong critical thinking and problem-solving skills.
- Experience applying statistical analysis and machine learning techniques to large, complex datasets.
- Strong communication and presentation skills.
- Ability to work independently with minimal supervision.
- Financial products experience.
- Tableau or similar BI/data visualization tools.
- Strong mix of business and technical expertise.
- Experience in big data environments.
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Responsibilities of the right candidate:
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- Analyze large datasets to identify trends, insights, and business opportunities.
- Design and evaluate A/B tests to measure product and business impact.
- Apply statistical and machine learning techniques to solve business problems.
- Partner with business stakeholders to understand objectives and provide data-driven recommendations.
- Use SQL and Python to extract, analyze, and interpret data.
- Build dashboards and visualizations to communicate findings.
- Identify AI/LLM opportunities and recommend practical business use cases.
- Present insights and recommendations to both technical and non-technical audiences.
- Collaborate with cross-functional teams in a fast-paced, data-driven environment.
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