Director, Data Science

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.

RESPONSIBILITIES:

  • Manage data scientists in delivering mission objectives and work plans
  • Lead the creation of innovative solutions leveraging cutting edge supervised and unsupervised learning techniques
  • Lead the development of ad hoc mathematical/statistical models for prediction and classification
  • Identify opportunities to improve online customer experiences via A/B testing, Champion/Challenger, design of experiments
  • Engage with Kroger stakeholders to translate business questions into statistical and machine learning paradigms
  • Collaborate with 84.51° data and software engineers to deploy and automate sciences at scale
  • Leverage statistical programming languages and packages with an emphasis on open source software (e.g., R, Python, XGBoost, H2O, Spark, etc.)
  • Deliver advanced customer insights to both technical and non-technical audiences using visualization tools (e.g., Shiny, Flexdashboards, ggplot2, Matplotlib, D3, Tableau)
  • Adhere to stringent quality assurance and documentation standards using version control (e.g., git, markdown, Jupyter)
  • Lead organizational innovation based on progress being made via academic and industry best practices
QUALIFICATIONS, SKILLS, AND EXPERIENCE:
  • Significant experience developing analytical solutions using advanced statistical methods and machine learning algorithms
  • Significant experience querying data from relational databases using SQL
  • Significant experience using R or Python to develop analytical solutions
  • Significant experience with data wrangling, data cleaning and prep, dimensionality reduction
  • Significant Experience with Big Data concepts, tools, and architecture (e.g. Hadoop, Pig, Hive, Spark, Sparkling Water)
  • Experience with managing, recruiting, training, developing, coaching, and/or inspiring highly technical associates
  • Ability to create computationally efficient solutions
  • Strong academic background in mathematics, statistics, computer science, economics, or similar discipline
  • Data visualization skills and ability to present technical solutions to non-technical audience
  • Strong interpersonal and communication skills
  • Strong analytical, creative problem-solving and decision making skills
  • Strong business acumen; grocery and/or retail experience is a plus
  • Passionate about data, analysis and insights
  • Natural curiosity
  • Welcomes and embraces change
  • Ability to work fast yet accurately
  • An openness and willingness to try new things and to fail
  • Ability to work in a highly collaborative environment
84.51° is an Equal Opportunity Employer.


Meet Some of 84.51°'s Employees

Terron W.

Partnership Manager, Customer Communications Team

Terron works with a variety of consumer-packaged-goods companies to help build their customer communications strategies in order to meet business objectives and reward Kroger shoppers.

Jyotsna S.

Senior Data Analyst

Jyotsna focuses on store operations, analyzing data on customer habits in order to improve supply chain and inventory processes.


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