Lead Data Scientist - Multiple positions available (IM-100)
84.51° Overview:
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°!
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Responsibilities
Engage with internal or external stakeholders to translate business questions into statistical and machine learning paradigms. Create innovative solutions using supervised and unsupervised learning techniques. Identify appropriate models and technologies to create analytical business solutions. Develop methods that use A/B testing, Champion/Challenger, design of experiments to improve customer experience. Collaborate with data and software engineers to deploy and automate data science solutions. Leverage statistical programming languages and packages with an emphasis on open source software such as R, Python and other big data technologies. Use data visualization tools to deliver customer insights to stakeholders. Adhere to stringent quality assurance and documentation standards using version control such as git, markdown, and Jupyter. Position may be located at any of 84.51 LLC’s offices in U.S. Telecommuting from home office may be authorized for position, subject to 84.51 Flexible Work Option policy.
Basic Qualifications
Master’s degree or higher (or foreign educational equivalent) in Data Science or a closely related quantitative field such as Statistics, Mathematics, Computer Science, or Business Analytics. In addition to the degree, must have at least two years of experience in all of the following, gained at any time: developing analytical solutions using statistical methods and machine learning algorithms; querying data from large multi-terabyte customer data sets using software querying languages; using R, Python, or other big data statistical software to develop analytical solutions; performing data wrangling, data cleaning and prep, dimensionality reduction; creating computationally efficient solutions; and utilizing data visualization skills and presenting technical solutions to non-technical audiences.
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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
$135,000 - $175,000 USD
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