Judge Group, Inc.
Judge Group, Inc.

Senior Data Scientist, Recommender Systems

Columbus, OH, US • Posted 15 hours ago • Updated 3 hours ago
Contract Independent
On-site
USD $60.00 - 65.00 per hour
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Job Details

Skills

  • TensorFlow
  • PyTorch
  • SQL
  • Python
  • Apache Spark
  • Databricks
  • Statistics
  • Design Of Experiments
  • Data Analysis
  • Cloud Computing
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Data Engineering
  • Machine Learning Operations (ML Ops)
  • Problem Solving
  • Conflict Resolution
  • Analytical Skill
  • Critical Thinking
  • Attention To Detail
  • Retail
  • Electronic Commerce
  • Deep Learning
  • Evaluation
  • A/B Testing
  • Root Cause Analysis
  • Machine Learning (ML)
  • Collaboration
  • Data Science
  • Analytics
  • Customer Analysis
  • Reporting
  • Dashboard
  • Documentation
  • Knowledge Sharing
  • Oracle Linux
  • Privacy
  • Marketing

Summary

Location: Columbus, OH
Salary: $60.00 USD Hourly - $65.00 USD Hourly
Description:
Job Title: Senior Data Scientist

Location: Cincinnati, OH, 45202 (5 days onsite)

Type: 12+ Months Contract

The ideal candidate will have proven track record of developing deep learning models, expertise in ML frameworks such as TensorFlow or PyTorch, and a strong understanding of various recommendation models and techniques.

Requirements
  • 2+ years of proven experience building deep learning models for large-scale recommender systems.
  1. Proficiency in ML frameworks such as TensorFlow or PyTorch.
  1. Proficiency in SQL, Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
  1. Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
  1. Experience working with cloud platforms like Azure or Google Cloud Platform.
  1. Experience working with Data Engineering and MLOps is desirable.
  1. High level of independence to develop and own toolkits, pipelines, and dashboards.
  1. Excellent problem-solving skills and a proactive approach to addressing challenges.
  1. Strong analytical and critical thinking skills with attention to detail.
  1. Prior experience in the retail or e-commerce industry is a plus.
  1. Must be able to learn from others and teach others and work collaboratively as part of a highly interdependent team.
  1. Ability to communicate complex ideas effectively to both technical and non-technical stakeholders.


Key Responsibilities
  • Design, develop, and implement recommender systems tailored to grocery retail and e-commerce personalization needs.
  1. Build advanced machine learning and deep learning models to deliver personalized product, coupon, substitute, and recipe recommendations.
  1. Define evaluation methods and key metrics to measure recommender system performance and identify areas for improvement.
  1. Conduct A/B testing and offline model evaluations to compare recommendation strategies and improve model outcomes.
  1. Perform root cause analysis and model interpretability reviews to understand recommendation results and improve accuracy.
  1. Improve personalization by incorporating customer preferences, dietary needs, shopping behaviors, and engagement patterns.
  1. Explore recommendation diversity strategies that expose customers to a broader range of relevant products while maintaining accuracy.
  1. Partner with ML engineers to support model deployment, serving, versioning, and production pipeline best practices.
  1. Collaborate with data scientists, data engineers, full stack engineers, product teams, and business stakeholders to deliver data science solutions.
  1. Integrate transactional, customer, product, demographic, and user feedback data to support model development and analytics.
  1. Build customer analytics pipelines, reporting dashboards, and performance tracking to monitor recommendation effectiveness over time.
  1. Document best practices, technical insights, lessons learned, and model development approaches for internal knowledge sharing.
  1. Contribute to internal tools, libraries, and documentation that support adoption and maintenance of recommender system solutions.
  1. Participate in knowledge-sharing sessions and technical discussions to support continuous learning across the team.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1134468
  • Posted 15 hours ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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