Senior Data Scientist Client Analytics

UNAVAILABLE; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

The company is seeking an experienced professional to join the Analytics team in Bengaluru, India. The role involves developing analytical frameworks, performing data analysis, and mentoring junior team members. Candidates should have 5-8 years of analytics experience, with proficiency in Python, SQL, and Power BI being essential.

Excellent communication skills and the ability to present data-driven insights are crucial for the position. An advanced degree and experience in data science projects are preferred.

Qualifications

• 5-8 years of experience in the analytics field, marketing analytics preferred.
• Hands-on experience on Data Science projects, developing Predictive/ML models is highly preferred.
• Excellent verbal and written communication skills.

Responsibilities

• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Create and present data-driven insights to clients/stakeholders.

Skills

Analytical frameworks development

Exploratory data analysis

Hypothesis testing

Data storytelling

Project management

Mentoring

Python

SQL

Power BI

Data Science

Education

Bachelor’s degree in a quantitative discipline

Advanced degree (Master’s/PhD) in relevant field

Tools

Power BI

Adobe Analytics

Databricks

Job description

Job Description

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.

Responsibilities

• 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
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Project Management skills with the ability to work independently with minimal support
• Mentor/hand-hold junior team members on technical/problem-solving aspects
• 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

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
• 5-8 years of experience in the analytics field; marketing analytics experience preferred
• Proficiency in Python, SQL and Power BI required.
• Hands‑on experience on Data Science projects, developing Predictive / ML models is highly preferred.
• Experience in Adobe Analytics and Databricks environment would be a plus
• Superior analytical and problem solving skills
• Excellent verbal and written communication skills

Desirable Qualifications:

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

Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.