As a Data Science Manager at Sylndr, you will lead a team of data scientists, BI analysts, and data engineers to develop and implement advanced analytics, business intelligence solutions, and data engineering processes to drive strategic business insights and decision-making.
Requirements
- 5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position
- Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering
- Proficiency in programming languages such as Python or R
- Strong proficiency in BI tools such as Tableau, Power BI, or Looker
- Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently
- Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake)
- Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
- Excellent communication skills, capable of presenting complex information clearly and concisely
- Proactive, innovative mindset with keen attention to detail
- Ability to manage multiple projects and priorities in a fast-paced environment
- Experience with data visualization tools and techniques