Staff AI Data Scientist

Job not on LinkedIn

🕒 October 20

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kohls Construction

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏗️ Construction

🌾 Agriculture

Construction • Agriculture

Kohls Construction is a company whose name indicates it operates in the construction sector. The company's LinkedIn industry is listed as Farming, suggesting its work may be focused on agricultural or farm-related construction, site development, or infrastructure services for agricultural clients. Public information is limited from the supplied data, so this description is conservative and based on the company name plus the LinkedIn industry tag.

📋 Description

• Work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision-making • Use data and insights to make decisions, set goals, and identify levers to achieve balanced team objectives • Lead end-to-end data science projects from problem formulation to model deployment • Oversee experiments that answer targeted questions • Drive continuous improvement of key business metrics • Translate data science outputs into business outcomes and delivered value • Maintain business partner relationships to gain cross-organizational alignment and drive adoption of data science capabilities • Mentor and guide junior data scientists • Develop prescriptive AI/ML solutions, including foundation models and predictive systems, by converting business constraints into mathematical objective functions • Build quantitative evaluation harnesses for reasoning quality, tool-calling precision, grounding, and hallucination rates across LLMs, SLMs, and multi-agent systems • Implement responsible-AI practices, including bias detection, fairness constraints, data contracts, and model-risk controls • Integrate enterprise knowledge graphs and semantic layers for RAG pipelines and vector search/databases • Monitor production inference data for concept drift, data degradation, and model decay • Stay current on data science and technology trends and identify innovation opportunities at Kohl’s • Complete additional assigned tasks and projects

🎯 Requirements

• 6+ years of experience developing, evaluating, or applying modern AI/ML solutions, including LLMs, RAG, optimization, or causal methods, as relevant to the business problem • 6+ years of demonstrated understanding of AI evaluation, responsible-AI practices, and bias/risk mitigation • 6+ years of proven experience evaluating production GenAI and agentic systems using golden datasets, LLM-as-a-judge methodologies, guardrail hit rate analysis, and response failure analytics • Bachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field • 6+ years (or 3+ years with a Master’s degree) of progressively complex data science experience • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods • Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.) • Strong problem-solving skills with an emphasis on product development • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly • Proven ability to guide teams through unstructured technical problems to deliver business impact • Ability to perform essential job functions, comply with dress code and company policies, maintain attendance, complete training, use a personal computer, and work effectively in a team environment • Preferred: Master’s degree and/or Ph.D.; Retail and Logistics experience; Merchandising and/or Supply Chain Management; Digital and/or Marketing models

🏖️ Benefits

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

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