iSpot needs to empower advertisers to measure the true impact of their TV and streaming campaigns, and the Client Data Science team is dedicated to delivering invaluable insights and reports to clients using cutting-edge techniques. The Data Scientist will design and develop custom reports to provide clients with the insights they need to succeed.
Requirements
- 3+ years of experience in Data Science, or comparable field
- 3+ years coding experience and 1+ years coding specifically in R or Python
- Intermediate coding skill in Python or R
- Intermediate knowledge of Data Science, Modeling, Machine Learning, and Statistics
Responsibilities
- Collaborating on complex problems, both independently and as part of a team, while writing and optimizing R, Python, or SQL scripts for effective data processing.
- Adapting existing tools and methods to meet evolving needs, balancing workloads across various projects, and leveraging solid machine learning and statistical skills to inform data-driven decisions.
- Collecting, aggregating, and manipulating data from multiple sources, applying analytical techniques to derive insights, and creating clear visualizations or reports.
- Engaging with internal and external teams to clarify requirements, address challenges, and develop tailored solutions, while documenting project status and updates in tools like JIRA.
- Communicating effectively with diverse audiences, translating complex findings into accessible formats through written reports and presentations, and actively participating in team discussions to support collaboration and problem-solving.
Other
- 5% People Mentorship
- 25% Project Leadership
- 5% Strategy, Planning and Prioritization
- 5% Internal or Client Collaboration
- 60% Hands on: Reporting, Coding, Debugging, Developing, Methods, etc.
- Exceptional written and verbal communication with internal and external stakeholders at all levels
- critical thinking, attention to detail, and effective communication
- Prioritization of accuracy; Flexibility and adaptability; Resourcefulness; Logic.
