Senior Data Scientist

Location: Hyderabad OR Bengaluru (Hybrid - 3 days from office per week)

Immediate Joiners Preferred (who can join within 10-15 days)

Job Summary

We are looking for a talented, curious, passionate, and results-oriented individual to join our Data Science team.

Data Scientist will play a key role in enabling insights for marketing campaign performance. This individual will provide measurement and campaign optimization for a payments app globally, which will inform and shape marketing strategy and user experience across the application ecosystem.

Data Scientist will be a thought partner to the marketing team, will work closely with stakeholders to understand their goals and KPIs, and then use their analytics powers to surface learnings and

insights to support these goals.

Our culture is about getting things done iteratively and rapidly, with open feedback and discussion. We believe analytics is a team sport but strive for independent decision-making and taking smart risks.

Data Scientist day-to-day activities will include but not be limited to:

• Perform diagnostic analyses, including ML/statistical modeling, multivariate testing, and causal inference analyses, to quantify the lift of marketing campaigns.
• Conduct descriptive analysis and deep dives in large-scale data to identify key insights and opportunities that will shape the future of marketing strategy and user experience.
• Design and run experiments (A/B, multivariate) to evaluate new product features and marketing strategies, and use statistical methods to ensure valid and reliable results.
• Monitor experiment performance, conduct interim analyses, and communicate findings clearly to technical and non-technical audiences.
• Create data/model pipelines to automate recurring data pull and modeling processes.
• Leverage Tableau and Keynote to visualize insights and deliver results in business presentations and dashboards.

Key Qualifications:

• 7+ years of experience in Data Science with a focus on marketing, customer analytics and/or financial products.
• Fluency with SQL queries in large and complex fragmented datasets and relational databases.
• Expertise in causal inference modeling, marketing campaign measurement, and advanced statistical/ econometrics models.
• Proven proficiency in developing pipelines with structured data stored in distributed files systems.
• Extensive experience with SQL and Python.
• Strong background and knowledge in data analytics and statistical modeling, including linear regression and me series modeling.
• Solid experience with Tableau and Tableau Server for data visualization, dashboard development, and automation.
• Exceptional verbal and written communication skills.

Education:

Advanced degree in Marketing Science, Data Science, Statistics, Economics/Econometrics, Operations Research, Computer Science, Mathematics or Engineering.