Data Scientist

Kforce Inc.
New York, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

New York, United States of America

Tech stack

A/B testing
Data analysis
Cloud Computing
Python
Machine Learning
Recommender Systems
Software Construction
SQL Databases
Feature Engineering
Spark
Model Validation
PySpark
Kubernetes
Information Technology
Production Code
Machine Learning Operations
Data Pipelines
Docker
Databricks

Job description

  • 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, * 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

Benefits & conditions

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.

About the company

By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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