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Data Scientist

Salary

$60k - $70k

Min Experience

0 years

Location

Brooklyn, NY, remote

JobType

Contract - Independent

About the job

Info This job is sourced from a job board

About the role

RESPONSIBILITIES: Kforce has a client that is seeking a Data Scientist in Brooklyn, NY. Summary: We are looking for a Data Scientist to help optimize customer interactions with our vast catalog of unique items. You will work with analytics, machine learning, and product teams to ensure data accuracy, develop visualizations, analyze trends, and drive data-driven decisions. Duties Include: * Build dashboards and reports in Looker to track key metrics * Develop and maintain data rollups for reliable reporting * As a Data Scientist, you will conduct ad-hoc analysis using SQL and BigQuery * Analyze A/B test results to measure impact * Collaborate with cross-functional teams to translate data into strategy REQUIREMENTS: * Experience with Looker, SQL, and Python or R * Strong data visualization and analytics skills * Ability to ensure data accuracy and accessibility Nice-to-Haves: * Experience with clickstream data, A/B testing, and marketplaces * Proficiency in LookML and statistical concepts

About the company

Kforce Inc. (NASDAQ: KFRC) is an award-winning professional staffing firm that provides strategic partnership in the areas of Technology and Finance & Accounting. We have been matching job seekers and employers since 1962, and are headquartered in Tampa, Florida with more than 50 offices throughout the United States. Backed by our associates and consultants, we strive to unite professionals to achieve success through lasting personal relationships. Our core values of respect, integrity, trust, exceptional service, commitment and fun, as well as stewardship and community, help us achieve our vision - to have a meaningful impact on all the lives we serve. Our Technology specialty focuses in the areas of software engineering, functional and business management, systems applications development, enterprise data management and infrastructure.

Skills

Machine Learning (ML)
Dashboard
Reporting
Collaboration
SQL
Python
R
Data Visualization
Analytics
Accessibility
A/B Testing
Artificial Intelligence