Data Scientist; MMM

Focus

KPI is seeking a Data Scientist with MMM (Media Mix Modeling) experience to enable deep media insights through advanced analytics for our client, one of the largest retailers and e-commerce companies in the U.S.

Work Authorization:
No Sponsorship provided

Location:

On-site at Bentonville, AR

Duration:
Full-time position

Pay range: $70+k/annum

• Perform hands‑on coding to retrieve and analyze large datasets using Python and SQL
• Integrate disparate data sources and leverage state‑of‑the‑art analytics best practices to deliver integrated, actionable insights to partners and stakeholders
• Manage and streamline the data extraction process with great attention to details
• Assess the potential usefulness, validity, and rigor of new data sources
• Work with a cross‑functional team to ensure that the quality of the data are of the highest standard
• Help with media mix models to connect the impact of marketing tactics and business short‑term and long‑term outcomes

• Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field.
• Minimum of a Master's degree in related educational field.
• 4+ years of industry experience in a data, analytics, and data science role
• Experience with advertising, measurement, and/or digital marketing analytics
• Experience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.
• Proficient coding skills (SQL, Python, R)
• Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)
• Proficient BI/BA data visualization tools (Tableau, Power BI, Thought Spot, Looker, etc.)
• Experience working with Marketing Mix Modeling (MMM) and/or Multi‑Touch Attribution Models (MTA) is mandatory
• Experience with Modeling and Machine Learning
• Experience with cloud technologies such as GCP, AWS, and Azure
• Experience in integrating, structuring, and analyzing large amounts of data from diverse sources
• Strong project management skills, attention to detail, and documentation skills.
• Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the business
• Passion for working in a fast‑paced agile environment.
• A collaborative mindset and sense of curiosity
• Experience with predictive modeling algorithms and optimization techniques
• Experience applying statistics to business problems

MMM/MTA experience is mandatory for a minimum of 3 years. Without MMM/MTA experience, profiles cannot be considered.