Director, Data Science (P83)

Cincinnati, OH; Chicago, IL; Deerfield, IL; Portland, OR; United States - Remote

Applications have closed

84.51°

At 84.51° we use unmatched 1st party retail data and analytics powered by cutting edge science to fuel a more customer-centric journey.

View company page

84.51° Overview:

84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

__________________________________________________________

 

Director, Data Science, CIL Partnership Team
LOCATION: FLEXIBLE (*IN THE US ONLY) 

Summary 

The CIL Partnerships DSR team develops and delivers commercial custom insights projects for highly engaged 84.51° Stratum clients.  The director of this team will lead and inspire a team of data scientists responsible for scoping and delivering custom insights projects.  Through engagement with program leads and cross functional partners, this role will drive strategic progress for our portfolio and processes to delilver solutions to clients.

Responsibilities:

The Talent

Data Science & Research (DSR) People Management

  • Mentor, manage and motivate a diverse team of data scientists to ensure they have the support and guidance needed to carry out their roles successfully.
  • Foster an inclusive environment that is a destination for Data Science talent where people feel empowered to learn and grow
  • Serve as an external advocate for 84.51° Data Science; promote engagement in advocacy platforms and knowledge sharing across team

Outcomes:

  • Engaged team with proactive professional development
  • Talent strategy plan documented and shared with DSR strategy lead

The Work

DSR Partnership and Delivery Lead

  • Partner with the program leadership team and the Commercial Solutions Development (CSD) lead to drive innovation in the solutions development, execution and delivery
  • Partner with the leads on the IAM teams to support budget goal through scoping and delivery of effective, forward-looking, and scalable CI solutions
  • Manage team capacity to complete a wide range and large quantity of quick turn projects
  • Work with leaders across client insights interactions (84.51° Stratum, Interaction Innovation, Consumer Research) to understand where CI fits and how it can drive the broader strategy

Outcomes:

  • From the team – scoping and on-time delivery of CI work in support of the CI budget
  • Elevated client facing solutions, automated from end-to-end with advanced science leading to clear insights
  • Easily accessible solutions with seamless inputs and delivery
  • Strong relationships across stakeholders with alignment of interests across business facing teams, DSR execution teams, and cross functional partners
  • CI work that complements 84.51° Stratum and Collaborative Cloud (and related solutions); new CI innovations should become part of Collaborative and 84.51° Stratum where possible

The Standards

  • Champion How to Data Science best practices and framework
  • Ensure standards work for the business in making the best science possible available to clients

 

Qualifications, Skills and Experience:

  • 7+ years developing analytical solutions using advanced optimization methods and machine learning algorithms
  • 7+ years querying data from relational databases using SQL/Python to develop analytical solutions
  • 7+ years with data wrangling, data cleaning and prep, problem framing, and analysis
  • Experience with managing, recruiting, training, developing, coaching, and/or inspiring highly technical associates
  • Proficient in technology stack (Azure, Snowflake, Python, Spark)
  • Experience with developing, coaching, and/or inspiring highly technical associates
  • Ability to work in a highly collaborative cross functional environment
  • Comfort with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes
  • Excellent interpersonal, collaboration, and communication skills
  • Strong academic background in mathematics, statistics, computer science, economics, or similar discipline
  • Strong analytical, creative problem-solving and decision-making skills
  • Ability to create computationally efficient solutions
  • Strong business acumen and passion for commercial success
  • Natural curiosity and passion around data, analysis and insights
  • Welcomes and embraces change
  • Ability to work fast yet accurately
  • An openness and willingness to try new things and to fail

 

An ideal candidate has a strong track record of:

  • Building stakeholder relationships at a senior level
  • External client exposure and strong understanding of client’s business needs
  • Managing, recruiting, training, developing, coaching, inspiring and/or leading others
  • Championing an inclusive culture and embracing 84.51° D&I initiatives
  • Creating and/or improving large-scale processes or initiatives
  • Leading Data Scientists through projects
  • Independently creating solutions and solving open-ended and/or complex problems, analyzing both successes and failures
  • Collaborating across all functions of 84.51°
  • Providing direct, constructive feedback to peers and junior data scientists
  • Making data-driven decisions and priority calls
  • Clearly articulating their point-of-view
  • Comfortability with fast pace and multiple moving parts, anticipating and solving for future barriers/ changes
  • Working with our DS tech stack at 84.51°



#LI-Remote

#LI-SSS

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Azure Computer Science Economics Machine Learning Mathematics Python RDBMS Research Snowflake Spark SQL Statistics

Perks/benefits: Career development Flex hours

Regions: Remote/Anywhere North America
Country: United States
Job stats:  9  4  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.