Data Scientist

RESPONSIBILITIES:
Kforce has a client in Long Island City, NY that is seeking a Data Scientist.

Summary:
We are seeking a Data Scientist to support customer insights and analytics initiatives. This role focuses on understanding customer behavior, identifying drivers of engagement and retention, and developing data-driven solutions to improve customer experience and loyalty. The ideal candidate will leverage machine learning and analytics to uncover insights and inform business decisions.

Key Responsibilities:
* Partner with business stakeholders to analyze customer behavior and translate insights into actionable recommendations
* Perform exploratory data analysis, feature engineering, and model development
* Build and deploy machine learning models to support customer insights, retention, and engagement strategies
* Develop solutions for customer segmentation, churn analysis, and re-engagement opportunities
* Create data visualizations and reports to communicate findings to technical and non-technical audiences
* Collaborate with data, engineering, and product teams to support scalable analytics and data solutions
* Contribute to best practices in data science, coding, and model lifecycle management

REQUIREMENTS:
* Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
* 3+ years of experience in data science, analytics, or machine learning
* Proficiency in Python, SQL, and common data science/machine learning libraries
* Experience building, evaluating, and deploying machine learning models
* Strong understanding of data analysis, statistical methods, and model performance metrics
* Ability to communicate insights clearly to both technical and business audiences

Preferred Qualifications:
* Advanced degree in a quantitative discipline
* Experience with customer analytics, churn modeling, segmentation, or loyalty programs
* Familiarity with machine learning techniques such as recommendation systems, A/B testing, or forecasting
* Experience with cloud platforms, Spark/PySpark, or modern data tools

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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