{"id":4263003,"url":"https://alion.io/job/kohls-staff-ai-data-scientist-remote","title":"Staff AI Data Scientist (Remote)","company":{"id":1753416,"name":"Kohl’s","domain":"kohls.com","url":"https://alion.io/company/kohls-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Design of Experiments","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-20T00:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-13T16:01:12Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Role Specific Information\nJob Description\nAbout the Role\nAs Staff AI Data Scientist, you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision-making with advanced data analysis and machine learning.\nWhat You’ll Do\nUse data and insights to make decisions, set goals and identify the right levers to achieve balanced team objectives\nLead end-to-end data science projects from problem formulation to model deployment\nOversee the design of experiments that answer targeted questions\nIdentify and drive continuous improvement of key business metrics in the balanced team\nTranslate data science outputs into business outcomes and value delivered \nMaintain strong business partner relationships to gain cross-organizational alignment, spur adoption and usage of data science capabilities and drive business outcomes\nMentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development\nStay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s\nAdditional tasks may be assigned\nAddendum\nSTAFF AI DATA SCIENTIST\nDevelop prescriptive AI/ML solutions - including foundation models and predictive systems - by converting complex business constraints into mathematical objective functions that guide optimal agent behavior.\nBuild and enforce continuous, quantitative evaluation harnesses to benchmark reasoning quality, tool-calling precision, grounding, and hallucination rates across LLMs, SLMs, and multi-agent swarms.\nImplement rigorous responsible-AI practices across the model lifecycle, establishing proactive bias detection, fairness constraints, data contracts, and model-risk controls.\nPartner with data and software engineering to integrate enterprise knowledge graphs and semantic layers, ensuring high-fidelity retrieval for retrieval augmented generation (RAG) pipelines and vector search/databases.\nOversee Day-2 telemetry in collaboration with domain teams to monitor production inference data, proactively detecting concept drift, data degradation, and model decay.\nRequirements\n6+ years of experience developing, evaluating, or applying modern AI/ML solutions, including LLMs, RAG, optimization, or causal methods, as relevant to the business problem\n6+ years of demonstrated understanding of AI evaluation, responsible-AI practices, and bias/risk mitigation\n6+ 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.\nWhat Skills You Have\nRequired\nBachelor’s Degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field\n6+ years (or 3+ years with a Master’s degree) of progressively complex data science experience\nExpertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value\nExpert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.)\nStrong problem-solving skills with an emphasis on product development\nExperience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly\nProven ability to guide teams through unstructured technical problems to deliver business impact\nPreferred\nMaster's degree and/or Ph.D.\nRetail and Logistics experience\nMerchandising and/or Supply Chain Management\nDigital and/or Marketing models\nEssential Functions\nThe requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.\nAbility to perform the accountabilities listed in the “What You’ll Do” Section\nAbility to comply with dress code requirements\nBasic math and reading skills, legible handwriting, and basic computer operation\nAbility to maintain prompt and regular attendance and meet scheduling requirements as set by the company\nAbility to learn and comply with all company policies, procedures, standards and guidelines\nAbility to receive, understand and proactively respond to direction from leadership and other company personnel\nAbility to work as part of a team and interact effectively and appropriately with others\nAbility to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes\nAbility to satisfactorily complete company training programs\nAbility to use a personal computer for tasks such as 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