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84.51

Lead Data Scientist

84.51, Chicago, Illinois, United States, 60290

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84.51 is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase. Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51 Insights, 84.51 Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing. Join us at 84.51! __________________________________________________________ Lead Data Scientist (P4318) Summary The SCORe team seeks a Lead Data Scientist to support Kroger Manufacturing with generative AI and data science solutions, including creating, managing, and monitoring agents, optimization, simulation, and machine learning. The ideal candidate will have a strong technical background in Generative AI, embeddings, NLP or statistical learning. Experience deploying in enterprise level manufacturing environments, especially food, and familiarity with 84.51/manufacturing data assets is ideal. Responsibilities Develop generative AI solutions to support manufacturing cost savings initiatives Integrate with and consult governance of contractor and third party owned sciences Integrate and deploy data science models to production grade front-end systems Apply MLOps best practices and patterns related to generative AI agentic workflows Develop and deliver analytical plans for client roadmaps, adopting best practices and innovative ideas. Transition projects from discovery to pre-production using the latest tech stack. Knowledge of Azure/Databricks platforms Experiment with innovative machine learning methods and conduct analytic experiments; share findings with the team. Scope and manage projects from start to finish, ensuring timely delivery within budget and specifications. Collaborate with stakeholders to design best-in-class solutions. Implement best practices for analysis, storage, and quality assurance with engineering, product, and labs teams. Identify opportunities for standardization and automation of solutions/processes. Develop actionable recommendations from data analysis to build relevant customer stories. Ensure high-quality work through quality assurance of your code and that of team members. Challenge and improve 84.51 analytic capabilities and best practices. Efficiently manage analytic resources to ensure timely delivery of business deliverables. Mentor data scientists to create standard processes and efficiencies; provide career development leadership for junior data scientists. Partner with G4 people leaders to prioritize work, identify risks and opportunities, and streamline team execution. Support building out the data science team to expand efforts Good knowledge of dataset development and maintenance. Qualifications, Skills, and Experience Bachelor's degree in mathematics, statistics, analytics, data science, or a related discipline. 4+ years of experience in consulting or professional services, with at least 2 years focused on manufacturing. 4+ years of experience using advanced algorithms, programming languages, or technologies to develop technical analytics solutions. 4+ years of experience developing and implementing enterprise-scale generative AI solutions involving agentic workflows, NLP or embedding models Experience with graph databases and algorithms is a plus Proficiency in cleaning and querying data from relational databases and PySpark Experience using Python, or similar statistical software to develop analytical solutions. Expertise in data wrangling, data cleaning and preparation, and dimensionality reduction. Familiarity with Big Data concepts, tools, and architecture. Ability to create computationally efficient solutions. Strong academic background in mathematics, statistics, computer science, economics, or a similar discipline. Data visualization skills and the ability to present technical solutions to a non-technical audience. Strong analytical, creative problem-solving, and decision-making skills. Strong business acumen; manufacturing experience is a plus. Experience developing and implementing on cloud solutions (Azure, Databricks, etc.) Passionate about data, analysis, and insights. Natural curiosity that embraces change and a willingness to try new things and learn from failure. Ability to work in a highly collaborative environment #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range $91,000 - $218,750 USD Create a Job Alert Interested in building your career at 84.51 ? Get future opportunities sent straight to your email. Apply for this job

* indicates a required field First Name * Last Name * Preferred First Name Email * Phone * Location (City) Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School * Select... Degree * Select... Select... Select... Start date year End date month Select... End date year What is your current permanent address? * What state do you permanently reside in? * Select... Which work location would you prefer? * Chicago, IL New York, NY Portland, OR Location options vary by role and are stated in each job posting. Our Headquarters are in Cincinnati, OH. We also have hubs in Chicago, Deerfield, New York and Portland. Not all roles are open in all locations. We have an in-office expectation for Monday-Thursday with the option to work remote on Fridays (may vary by role) and candidates must live in one of our hub locations or be willing to relocate (relocation assistance is provided). Please select one of the following that applies: * Select... How did you first learn about 84.51 and this position? * Why are you interested in 84.51 and this position? * What knowledge and skills do you bring to 84.51 to enable you for success? * Who is your current employer? * Have you ever been employed by 84.51? * Select... Are you or have you ever been employed by dunnhumby? * Select... Are you or have you ever been employed by Kroger Co.? * Select... If your current employer is the Kroger Family of Companies, please list what department you are currently in, who your manager is, and state whether you've informed your manager of your application or not.Please input N/A if you do not currently work for Kroger. Are you bound by any commitments, contracts or agreements with your current or former employer(s) that might affect your employment with 84.51? * Select... Are you legally authorized to work in the U.S.? Proof of eligibility will be required before you can be employed. * Select... Will you now or in the future require sponsorship for employment visa status (e.g. H1B status)? * Select... If you currently hold a visa, what type do you hold? * Select... Individuals who have questions about this Applicant Notice should contact 84.51 by using the Contact Us link at the bottom of our homepage atwww.8451.com . The essential functions of this position have been listed in the job posting. Can you perform the essential functions of the position for which you are applying as they are listed in the job posting with or without reasonable accommodation? * Select... 84.51 Demographic Questions

Together, we are stronger and can achieve more

At 84.51, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51 associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work embracing who they are and celebrating what they can become.

We continually strive to ensure 84.51 is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences theyve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.

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