Data Scientist (MMM)

FocusKPI Inc.•San Bruno, CA

2d•$50•Remote

About The Position

FocusKPI is seeking a Data Scientist with MMM (Market Mix Modeling) to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S. Work Location: Remote in the U.S. Duration: 6-month contract with potential for extension and conversion, depending on budget and performance Pay range: $50+/hour

Requirements

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, ThoughtSpot, 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 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

Responsibilities

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 witha 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

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