Data Science Manager

Experis Turkey

The Data Science Manager’s responsibilities include, but are not limited to:
 

• 3+ Years of experience in similar data analyst or data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline. Preferably a master’s degree,
• 5+ years of professional experience with some relevant digital marketing / web content marketing,
• You have a deep understanding of numbers and a desire to coach and train others,
• You are clear in communication and adept at presenting and explaining complex topics and recommendations in simple terms,
• You have the technical competence to perform more advanced analytics,
• Coding skills for analytics and data extraction (such as SQL, R, Python, Pandas),
• Data visualization (such as Tableau, Qlik, D3, ggplot),
• Experience performing analysis with large datasets,
• Experience building statistical models is a plus,
• You are capable of tackling very loosely defined problems.

İŞ TANIMI

• Build/maintain reports, dashboards, and metrics to monitor the performance of products,
• Provide ETL support through API integration, table definition, and documentation of business metrics,
• Mine massive amounts of data and extract useful product insights,
• Manage development of data resources, gather requirements, organize sources, and support launches,
• Manage and coach a team of 2-6 high performing data scientists and data analysts,
• Own analysis of large sets of data to extract actionable insights that will help drive business decisions,
• Drive data integration and data ingestion strategies,
• Partner closely with Marketing, Product, Ad Sales, Strategy, and Production teams to provide BI support and data analysis,
• Create standardized reporting for multiple groups within the organization,
• Provide ad-hoc analyses, troubleshooting, and deep dives as needed,
• Create presentations and communicate findings in regular weekly/monthly presentations,
• Create, define, and document various data-related processes. Help drive data governance initiatives within the organization,
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.