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 personalization, marketing, loyalty, and customer engagement initiatives. This role will focus on developing data-driven solutions that improve targeted campaigns, promotional effectiveness, re-engagement strategies, and customer journey optimization. The ideal candidate brings strong analytical skills, hands-on machine learning experience, and the ability to communicate insights to both technical and non-technical stakeholders.

Key Responsibilities:
* Partner with business teams to translate marketing, loyalty, and customer engagement needs into data science solutions
* Perform exploratory data analysis, feature engineering, and model development to support personalization initiatives
* Build, test, and deploy machine learning models for targeted campaigns, re-engagement, and customer optimization efforts
* Collaborate with data, engineering, and infrastructure teams to support scalable model deployment and data pipelines
* Communicate findings, model performance, and recommendations clearly to business and technical partners
* Support the development of data products, reporting, and visualizations that drive business decisions
* Contribute to best practices in coding, documentation, testing, and model lifecycle management

REQUIREMENTS:
* Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or another quantitative field
* 3+ years of relevant industry experience in data science, analytics, or machine learning
* Proficiency in Python, SQL, and common machine learning/data science libraries
* Experience building and evaluating machine learning models
* Strong understanding of exploratory analysis, feature engineering, and model performance metrics
* Ability to write production-quality code and follow software engineering best practices
* Strong communication skills with the ability to present complex findings to varied audiences

Preferred Qualifications:
* Advanced degree in a quantitative discipline
* Experience with personalization, customer segmentation, churn modeling, recommendation systems, or A/B testing
* Familiarity with cloud platforms, Databricks, Spark/PySpark, Docker, Kubernetes, or MLOps tools
* Experience supporting marketing, loyalty, or customer engagement analytics initiatives

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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