Senior Data Scientist (P171)

Full Time
Chicago, IL
Posted
Job description

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°!

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Senior Data Scientist, Media Analytics

Senior, Media Product Analytics – 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 Senior Data Scientist, Media Analytics – 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 Analysis 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 insights.

Responsibilities:

  • Partner with engineering to build data pipelines, create and code new analytic methodologies, and bring them to scale within our media measurement platform
    • Our platform powers data science, client engagement, and our sales team to tell the story of advertising performance
  • Proactively contribute to ad-hoc Kroger Precision Marketing research, ideation, and methodology work for our various media activations
  • Think creatively when building analytics solutions in order to bring the most value to the user, challenge and improve 84.51° analytical capabilities/products
  • Be a data science / analytics ambassador to our engineering team by explaining the how and why around our analytics solutions
  • Influence our platform and product creation with outside media analytics expertise
  • Independently complete custom projects and analytics that help drive media campaigns, customer insights, and client relationships forward
  • Package building and code optimization experience or a strong desire to learn
  • Identify gaps/opportunities with our existing science, measurement, and data solutions
  • Automate deliverables and scaled reporting that helps capture those gaps/opportunities
  • Champion the sharing of knowledge across the data science community

Qualifications, Skills and Experience:

  • Bachelor's or Master's degree or equivalent in statistics, mathematics, analytics, economics, or marketing
  • Strong analytical, problem-solving, and decision-making skills. Passionate about data, analysis, and insights
  • 2+ years of experience in analytics across ad technology, digital media and advertising
  • 2+ years of experience in extracting insights from large databases, translating sales / marketing data into actionable solutions and presenting findings and recommendations to clients
  • Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills are required
  • Strong business acumen to link analysis to business impact
  • Excellent attention to detail, organization skills and ability to work in a collaborative environment
  • Proven ability to streamline and scale manual/repetitive solutions and ability to juggle multiple workstreams as needed
  • Strong technical skills working with large datasets via Python, SQLand R. Spark REQUIRED. Pyspark strongly preferred.
  • Experience with Big Data concepts, tools, and architecture
  • Natural curiosity that welcomes and embraces change and willingness to try new things and to fail
  • For remote employees, MUST be able to keep central standard time zone hours

#LI-Remote (Include if role is open to remote working)

#LI-SSS

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