Data Scientist Level 2

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist Level 2 in Cincinnati, OH.

Summary:

We are seeking a talented and experienced Senior Data Scientist to join our data science team, specialized in building search and recommender systems. The ideal candidate will have proven track record of developing deep learning models, expertise in ML frameworks such as Tensor Flow or PyTorch, and a strong understanding of various recommendation models and techniques.

Key Responsibilities:

* Design, develop, and implement recommender systems tailored to grocery retail and e-commerce personalization needs

* Build advanced machine learning and deep learning models to deliver personalized product, coupon, substitute, and recipe recommendations

* Define evaluation methods and key metrics to measure recommender system performance and identify areas for improvement

* Conduct A/B testing and offline model evaluations to compare recommendation strategies and improve model outcomes

* Perform root cause analysis and model interpretability reviews to understand recommendation results and improve accuracy

* Improve personalization by incorporating customer preferences, dietary needs, shopping behaviors, and engagement patterns

* Explore recommendation diversity strategies that expose customers to a broader range of relevant products while maintaining 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

REQUIREMENTS:

* 2+ years of proven experience building deep learning models for large-scale recommender systems

* Proficiency in ML frameworks such as Tensor Flow or Py Torch

* 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

* High level of independence to develop and own toolkits, pipelines, and dashboards

* Excellent problem-solving skills and a proactive approach to addressing challenges

* Strong analytical and critical thinking skills with attention to detail

* Must be able to learn from others and teach others and work collaboratively as part of a highly interdependent team

* Ability to communicate complex ideas effectively to both technical and non-technical stakeholders

* Prior experience in the retail or e-commerce industry is a plus

* Experience working with Data Engineering and MLOps is desirable

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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