Senior Data Scientist - Product Analytics (Hybrid)

Innova Solutions Inc.

New York (NY)

Hybrid

USD 83,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

Medical & pharmacy coverage
Dental/vision insurance
401(k)
HSA & FSA
Life Insurance
Pet Insurance
Short term and Long term Disability
Accident & Critical illness coverage
Pre-paid legal & ID theft protection
Sick time
Paid leaves
Employee Assistance Program (EAP)

Job summary

Innova Solutions is seeking a Data Scientist for a 6+ month contract position in the United States with a hybrid work pattern. The role focuses on business-facing product analytics for financial services and requires strong SQL/Python skills, Spark experience, and proficiency in interpreting A/B tests.

The candidate will evaluate AI/LLM opportunities, communicate findings to business partners, and drive data-driven decisions while working with stakeholders across functions.

Qualifications

  • 5–7 years of experience in Data Science with a focus on business-facing product analytics.
  • Strong SQL and Python skills; big data querying with Spark is a plus.
  • Experience designing and interpreting A/B tests.
  • Ability to communicate AI/LLM recommendations to business partners.
  • Strong critical thinking and ability to break down ambiguous problems.
  • Experience applying statistical methods and ML techniques to large data sets.
  • Excellent communication and presentation skills.
  • Self-starting with minimal supervision.

Skills

SQL
Python
Spark
A/B testing
AI/LLM awareness
Critical thinking
Statistics & ML
Communication
Self-starter
Tableau

Job description

Innova Solutions is seeking a Data Scientist for a 6+ month contract position in the United States with a hybrid work pattern. The role focuses on business-facing product analytics for financial services and requires strong SQL/Python skills, Spark experience, and proficiency in interpreting A/B tests.

The candidate will evaluate AI/LLM opportunities, communicate findings to business partners, and drive data-driven decisions while working with stakeholders across functions.

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