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 – Kroger Precision Marketing (P3485)
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 – 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 a retailer database, using the full suite of 84.51° technical and visual tools – Python, Excel, SQL, Power BI (and other internal tools) to create timely, relevant, and actionable insights.
Responsibilities:
- Design and implement studies and conduct a/b testing to evaluate impact of various KPM media offerings to make data driven recommendations or inform business decisions.
- Contribute to and/or publish white papers and case studies by apply statistical analysis and inference techniques to large datasets and uncover insights that shape better business decisions.
- Build prototypes and proof of concepts to test ideas or application of various 84.51˚ sciences.
- Support the client facing team of data science consultants by designing and standardizing new data science offerings and metrics reports that bring added value for stakeholders and can be scaled across all CPGs.
- Interpreting results and developing actionable recommendations from robust 1st party data to build relevant customer stories for clients.
- Responsible for scoping, developing, defining, and completing custom projects and analytics that help drive media campaigns, customer insights, and client relationships forward.
- Become familiar with our data assets, measurement techniques, media measurement interpretation, results delivery, KPM-specific skills, QA processes, and overall analytic capabilities.
- Effectively manage campaign analytics and insights across Kroger Precision Marketing portfolio of media products (email, programmatic display/video, Pinterest…etc.)
- Partnering with sales and account management team to own the analytic relationship with CPG clients.
- Ensuring high levels of client engagement and the successful delivery of media campaign measurement
- Leading and managing projects, tasks, and stakeholders to ensure that projects are delivered on time, within budget and to brief specification.
- Coach, mentor and develop junior data scientists on project execution, media measurement interpretation, results delivery, domain skill development, and analytic techniques.
- Follow best practices in documentation and knowledge management, and champion the capture and sharing of knowledge across the team and data science community.
Qualifications, Skills and Experience:
- Bachelor's or Master's degree in statistics, mathematics, analytics or related discipline. Master's degree preferred.
- Proficiency in data prep, statistical inference, hypothesis testing, study design (observational or experimental), supervised and unsupervised learning are especially important for the role.
- Basic knowledge of Platform and automation required.
- 2+ year experience of selecting the appropriate experimental design and applying various statistical inference, hypothesis testing, supervised, unsupervised learning and other techniques as applicable in building solutions, and extracting insights.
- 2+ years of experience in ad technology, digital media, and/or advertising analytics.
- 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to internal and external stakeholders.
- 2+ years of experience using advanced algorithms, programming languages (Python, SQL), and technologies in the development of technical analytics solutions or capabilities.
- Data visualization skills (PowerBI) and ability to present technical solutions to non-technical audience.
- Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills.
- Strong analytical, problem-solving and decision-making skills
- Strong business acumen to link analysis to business impact (grocery and/or retail experience is a plus)
- Natural curiosity that welcomes and embraces change and willingness to try new things and to fail.
- Excellent attention to detail, organization skills and ability to work in a collaborative environment
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