Senior Data Scientist - Market Mix Modelling

Campaign / Digital / performance marketing analytics, Python, SQL

Should be a mix of Data Scientist experienced in performance marketing analytics

Experience - 4 to 8 years

Location - Mumbai

Required Skills & Competencies

- Experience in campaign and performance marketing analytics, preferably in lending / BFSI organizations

- Advanced proficiency in Python, SQL & cloud environments

- Model building experience with proficiency in statistical concepts regression, trees, SVMs, clustering, market mix modelling, A/B testing

- Ability to identify patterns, trends, and opportunities for optimization in digital marketing, digital journey funnels

- Ability to continuously identify opportunity areas to improve funnels, marketing campaign performance through analytics

- Experience in reporting, visualization & optimization of campaigns & digital journeys

- Internal and external stakeholder management.

Key Responsibilities:

Campaign Analytics & Modelling:

- Develop and maintain models to evaluate and optimize marketing campaigns, ensuring they meet performance goals across multiple channels (e.g., digital, social media, email, paid media, etc.).

Campaign Optimization:

- Design experiments, A/B testing frameworks to measure and optimize campaign performance. Provide actionable recommendations for improving marketing strategies and enhancing customer engagement.

Digital Journey Analytics:

- Analyse the entire customer journey across digital touchpoints (website, mobile apps, social media, email, etc.) to understand user behaviour, identify pain points, and discover opportunities for optimization.

MIS & Reporting:

- Prepare and circulate MIS reports, dashboards

Stakeholder Engagement:

- Co-ordinate with business, product, campaign teams for efficient usage of analytical models, their tracking & effectiveness

Mentorship:

- Mentor junior data scientists and provide guidance on best practices in analytics and modeling.

- Lead by example in promoting a data-driven culture within the organization.