Sstech LLC

Sstech LLC

Senior Data Scientist-Cincinnati, Ohio(Only Local candidates )

Cincinnati, Ohio, USA · Senior · Contract

Sponsorship not specifiedDetected 94 days ago
PythonFull-Stack DevelopmentSQLDatabricksGCPAzureCloud PlatformsMachine LearningDeep LearningTensorFlowPyTorchSparkData AnalysisData EngineeringData ScienceMLOpsStatisticsA/B TestingCommunicationProblem SolvingCritical Thinking

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

54% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 20 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: UNITED AIRLINES · AmeriGas Propane L.P · AT&T CorporationFiles as an H-1B dependent employer.

Files H-1B transfers

10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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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This listing is sourced directly from Sstech LLC's careers page and normalized into a canonical job model.