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Data Scientist 459 views

Job Description


FocusKPI is seeking a Data Scientist 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 months contract with potential for extension and conversion, depending on budget and performance

Pay range: $50/hour to $70/hour


  • 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 data extraction process with great attention to details
  • Assess the potential usefulness, validity, and rigor of new data sources
  • Work with 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
  • 3+ years of industry experience in 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, PowerBI, ThoughtSpot, Looker, etc.)
  • Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is a must
  • Experience with Modeling and Machine learning
  • Experience with cloud technologies such as GCP, AWS, Azure
  • Experience in integrating, structuring, and analyzing large amounts of data from diverse sources
  • Strong project management skills and attend-to-detail 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

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