Data Scientist; MMM

This role is for a Data Scientist (MMM) on a 6‑month contract, paying $50+/hour, remote in the U.S. Requires a Ph.D., 3+ years in data analytics, and experience with MMM, digital marketing, SQL, Python, and cloud technologies.

• 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 detail
• 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 is 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
• 3+ 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)
• 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 ‘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

Focus

KPI is a data science and technology firm specializing in predictive analytics practice and methodologies. Founded in 2010, Focus

KPI, Inc. (Focus

KPI) is a U.S. company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.

85 Great Portland Street, London, England, W1W 7LT