
Data Scientist (P3438)
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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Data Scientist (G1) P3438
Cincinnati, Chicago
SUMMARY:
We are a community of Data Scientists that work to improve the shopping experiences of our customers, both in-store and online. We leverage large volumes of data to develop powerful sciences using cutting edge machine learning, natural language processing, and mathematical techniques to improve products, processes, and systems that positively impact our customers. We lead our organization in identifying and adopting the tools and technologies that will continue to position our company as the recognized analytical leader within our industry.
The role is for a Data Scientist on the Enterprise Pricing & Promotions (EPP) team. EPP has a long-term focus to optimize pricing and promotion decisions at Kroger, including regular pricing, temporary price reductions, in-store promotional displays, weekly ad, and the various promotion tactics that our customers use to manage their grocery budgets. The role will directly support the development and deployment of analytical solutions Kroger uses to establish price and promotion strategies across grocery categories and geographic divisions to ensure it continues to be the leader in grocery retail.
RESPONSIBILITIES:
- Support the development and deployment of Pricing & Promotion solutions that leverage machine learning and advanced mathematical/statistical techniques
- Measure the efficacy of Pricing and Promotion strategies tested within the Kroger enterprise, as well as provide Kroger executive leaders with strong insights and direction for where and when the strategies should be scaled
- Develop data visualizations and dashboards using Power BI
- Engage with Kroger stakeholders to translate Pricing & Promotion problems into an executable analytic plan that supports Kroger decision making
- Integrate and combine transaction, cost, price, promotion, and competitive data into ad hoc solutions and mature products
- Ability to communicate how complex data, math, and statistics interact and impact Price and Promotion solutions to business and non-technical stakeholders
- Adhere to stringent quality assurance and documentation standards (Git/GitHub, Sphinx, Confluence)
- Stay up to date with progress made with academic and industry best practices
QUALIFICATIONS, SKILLS, AND EXPERIENCE:
- Bachelor’s degree or higher in mathematics, statistics, computer science, data science, business analysis, or related field
- Experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities
- Experience querying data from relational databases using SQL
- Experience using R, Python, or other similar statistical software
- Experience with data wrangling, data cleaning and prep, dimensionality reduction
- Data visualization skills and ability to present technical solutions to non-technical audience
- Exposure to Big Data concepts, tools, and architecture (e.g. Azure cloud, Spark, Hadoop)
- Strong analytical, creative problem-solving and decision-making skills
- Strong interpersonal and communication skills
- Natural curiosity that welcomes and embraces change and willingness to try new things and to fail
- Ability to work in a highly collaborative environment.
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
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