Sstech LLC
Senior Data Scientist-Cincinnati, Ohio(Only Local candidates )
Cincinnati, Ohio, USA · Senior · Contract
Sponsorship not specifiedDetected 48 days ago
PythonFull-Stack DevelopmentSQLDatabricksGCPAzureCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchSparkData AnalysisData EngineeringData ScienceMLOpsStatisticsA/B TestingCommunicationProblem SolvingCritical Thinking
About the role
- Senior Data Scientist Location-Cincinnati, Ohio(Only Local candidates ) Job Description G2 – Senior Data Scientist, Relevancy Team – Personalization & Loyalty Strategy Relevancy Team is responsible for making relevant and personalized customer experiences for Kroger''s E-commerce site, which ranks among the top 10 ecommerce companies in the US. We deliver
- trillions of recommendations to the Kroger website at scale and make them available to millions of Kroger customers. The team has a rich portfolio of sciences which include product and coupon recommender systems, substitute recommendations, and shoppable recipes. We are seeking a talented and experienced senior data scientist to join our data science team,
Responsibilities
- Design, develop, and implement recommender systems tailored to grocery retail and e-commerce personalization needs.
- Perform root cause analysis and model interpretability reviews to understand recommendation results and improve accuracy.
- Partner with ML engineers to support model deployment, serving, versioning, and production pipeline best practices.
- Collaborate with data scientists, data engineers, full stack engineers, product teams, and business stakeholders to deliver data science solutions.
- Integrate transactional, customer, product, demographic, and user feedback data to support model development and analytics.
- Build customer analytics pipelines, reporting dashboards, and performance tracking to monitor recommendation effectiveness over time.
- Document best practices, technical insights, lessons learned, and model development approaches for internal knowledge sharing.
- Contribute to internal tools, libraries, and documentation that support adoption and maintenance of recommender system solutions.
- This role is through Kroger Technology, but will be based at the 84.51 building downtown.
Requirements
- A: Recommender systems/personalization experience is required.
- Q: Is experience with Azure/Databricks/Spark a hard requirement, or are Azure/Google Cloud Platform and similar cloud/data platforms equally acceptable?
Nice to have
- The team has a rich portfolio of sciences which include product and coupon recommender systems, substitute recommendations, and shoppable recipes.
- Proficiency in ML frameworks such as TensorFlow or PyTorch.
- Proficiency in SQL, Python and Spark for data analysis and manipulation.
- Experience working with Databricks is a plus.
- Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
- Experience working with cloud platforms like Azure or Google Cloud Platform.
- Experience working with Data Engineering and MLOps is desirable.
- Strong analytical and critical thinking skills with attention to detail.
Skills
- Excellent problem-solving skills and a proactive approach to addressing challenges.
Benefits
- Build advanced machine learning and deep learning models to deliver personalized product, coupon, substitute, and recipe recommendations.
- Participate in knowledge-sharing sessions and technical discussions to support continuous learning across the team.
- Additional Q&A Q: Is hands-on recommender system/personalization experience required, or is strong ML/deep learning experience in another domain acceptable?
Company info
- Explore recommendation diversity strategies that expose customers to a broader range of relevant products while maintaining accuracy.
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