Lead Data Scientist
Chicago, IL
Imagine working for a big data company with petabytes of data at your fingertips. Where analysts and scientists derive insights from terabytes of new data every week. The data is sourced from consumer transactions and behavior across banners, states and million households. We are the research, development and innovation arm of one of the nation’s largest retailer.
Responsibilities
- Engage with stakeholders to translate business questions into statistical and machine learning paradigms.
- Create innovative solutions leveraging cutting edge supervised and unsupervised learning techniques.
- Select model and solution complexity to appropriately fit the business application.
- Identify opportunities to improve customer experiences via A/B testing, Champion/Challenger, design of experiments.
- Collaborate with data and software engineers to deploy and automate sciences that will scale across the Kroger ecosystem.
- Stay up to date with progress made with academic and industry best practices.
- 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).
- Proactively push and support thought leadership throughout to embrace modern data science as the driving factor behind business decisions.
Qualifications:
- Experience with data wrangling, data cleaning and prep, dimensionality reduction.
- Experience with Big Data concepts, tools, and architecture (e.g. Hadoop, Pig, Hive, Spark, Sparkling Water).
- Ability to create computationally efficient solutions.
- Experience developing analytical solutions using advanced statistical methods and machine learning algorithms.
- Experience querying data from relational databases using SQL.
- Experience using R, Python, or other similar statistical software to develop analytical 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.