Lead Data Scientist (P3719)

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°!

__________________________________________________________

 

Lead Data Scientist – Kroger Precision Marketing 

Kroger Precision Marketing (KPM) powered by 84.51°, is a leading retail media advertising solution. KPM closes the loop between media exposure and store sales by using first-party purchase data to make brand advertising more addressable, actionable, and accountable. Launched almost three years ago, we have activated campaigns for over 1000 brands. Our vision is to become the preferred media company for advertisers by creating a more accountable media supply chain that increases the effectiveness of investment dollars. We are a growing team of passionate and talented analysts, data scientists, marketing consultants, and media strategists who are committed to transforming the media industry. 

As Lead Data Scientist– Kroger Precision Marketing you are joining a community of analysts, data scientists, and software engineers – we are researchers in search of the customer story.  We are the voice of the customer.  Customers share their story with us each day, and it is our job to tell their story.  Our Data Science team is known for solving client and customer problems, employing the most appropriate statistical and analytic approaches. You will be hands on with respect to the analysis of media with a robust retailer database of 60MM households, using the full suite of 84.51° technical and visual tools – SQL, R, Python, Tableau, and other specific internal tools – to create timely, relevant, and actionable predictive science solutions.  

Responsibilities: 

  • Lead science research projects, ideation, and methodology work to enhance our media planning, optimization, and measurement science offerings
  • Collaborate with other research teams at 84.51° to vet application of advanced science techniques within the media business 
  • Utilize your media data science experience to influence and drive advanced machine learning solutions into our platform and products. Think creatively when building science solutions in order to bring the most value to the user
  • Be a data science / analytics ambassador to our sales and product teams. Explain the how and why around our data science solutions through formal and informal training sessions and creation of documentation
  • Independently lead and manage projects, tasks, and stakeholders to ensure that projects are delivered on time, within budget and to brief specification
  • Mentor and develop junior data scientists on media insights interpretation, results delivery, and data science methodologies
  • As a data science champion, be a voice that helps improve and maintain and our position as industry leaders in media science capabilities

 Qualifications, Skills and Experience: 

  • MS or PhD in Statistics, Mathematics, Data Science, Machine Learning, Computer Science, or related field
  • 2+ years of experience in analytics across ad technology, digital media and advertising. Experience in building media auction systems (RTB) preferred.
  • 4+ years hands-on experience building and working with machine learning solutions. Ideally partnering across software engineering and product management teams to develop and scale new algorithms, features, and enhancements
  • Strong Python skills plus 4+ years of experience extracting and manipulating data from large, disparate data sources using big data and cloud technologies (Azure, Hadoop, Spark, Databricks and/or similar technologies)
  • Experience with one or more of the following: NLP, classification, pattern recognition, recommendation systems, targeting systems or similar
  • Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills are required
  • Strong business acumen, analytical problem-solving and decision-making skills
  • Excellent attention to detail, organization skills and ability to work in a highly collaborative environment

About 84.51°: 

84.51° knows customers, and we know how to connect you. 

Using a sophisticated, proprietary suite of tools and technology, we turn customer data into actionable knowledge. With unparalleled customer data and predictive analytics capabilities, we deliver personalized marketing strategies and ensure the best experience for customers of Kroger and more than 300 consumer-packaged-goods companies. We put the customer at the center of everything we do, resulting in a more dynamic, informed and personal approach to driving customer loyalty. 

#LI-SSS

#LI-Remote

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

Tags: Azure Big Data Classification Computer Science Databricks Engineering Hadoop Machine Learning Mathematics NLP PhD Python R Research Spark SQL Statistics Tableau

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  10  3  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.