Lead Data Scientist

Overview

About Business Unit:

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities

• Lead a team of 2-5 analysts
• Mentor and providing technical guidance as needed to the team members on different projects
• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights
• Hypothesis testing and reporting statistically significant results
• Help solving business problems using data insights or by building predictive/ ML models as necessary.
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Strong project Management skills with the ability to lead projects end to end independently.
• Multi-tasking between different projects and team management responsibilities
• Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
• Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
• Create visually compelling dashboards and reports to effectively communicate data-driven insights
• Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.

Qualifications

• Bachelors degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
• 8-12 years of experience in the analytics field; marketing analytics experience preferred
• Proficiency in Python, SQL
• Experience in visualization tools such as Power BI, Tableau would be a plus
• Hands-on experience in end-to-end execution of Data Science projects, developing Predictive / ML models
• Experience in Gen AI project and Databricks environment would be a plus
• Superior analytical and problem solving skills
• Excellent verbal and written communication skills

Desirable Qualifications:

• Advanced degree (Masters/PhD) in Statistics, Economics or other quantitative discipline
• Working knowledge of cloud environments