Head of Data Science

Essential Skills

• Enthusiasm for building analytics & data science solution, keeping up with latest trends
• Analytical mindset and experience in building Data Science solutions.
• Experience in solving business problems using Data.
• Strategic Mindset with a Customer Focus
• Ability to articulate complex issues and desired outcomes of analytical output
• Proven analytical skills and evidence-based decision making
• Excellent problem solving, troubleshooting & documentation skills
• Excellent written and verbal communication skills
• Excellent collaboration and interpersonal skills
• Ability to innovate, adapt and grasp new skills and content
• Ability to work closely with key stakeholders and build collaborative partnerships
• Ability to share complex data & Data science approach with business stakeholders
• Ability to self-manage tasks aligning with business outcome.
• Proactively gathering feedback and continuously improving
• Proven ability to experiment with different Data Science packages to deliver business value.
• Ability to modify data science solution based on enterprise technology stack

It is expected that the role holder will most likely have the following qualifications and experience

• 15+ years’ experience leading Machine learning engineers, Data Scientists
• Lead teams to build and deploy machine learning models to achieve business outcomes.
• Proficient users in SQL, Python, PySpark, Spark ML language.
• Good understanding of cloud platforms such as Databricks (preferred), AWS, Azure or GCP.
• Proficient in source code controls using GitHub.
• Highly developed data analytic skills, working with structured, semi-structured unstructured datasets
• Experience is using different data science packages to solve business problems.
• Good understanding of customer data, digital data, data science landscape
• Ability to provide data-driven insights to support decision making or improve customer experience.
• Explore new methodologies to solve business problems in a collaborative way.
• Strong stakeholder management and influencing skills to shape the Data Science backlog with stakeholders.
• Strong communications skills, able to convey complex messages simply and effectively.
• Ability to visualise data with different data visualisation tools to share insights with stakeholder.
• Lead the use of Data Science techniques across marketing to provide data-driven insights and support strategic decision making across teams.
• Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and advanced analytics across the teams.
• Present analytical findings using data visualisation tools and creation of insight presentations for various audiences.
• Development of new or improved analytic techniques to support customers met and un-met financial needs.

Qualification:

• A bachelor's or postgraduate degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or other relevant fields of study.
• Evidence of short courses to update skills based on changing Data or Data Science landscape.

Key Decisions

Key Accountabilities

• Lead the use of advanced data science techniques across Marketing use cases to provide data-driven insights and support strategic decision making across teams.
• Lead the enhancement of feature store and feature engineering techniques for Marketing use cases.
• Leverage online (Adobe Analytics) data in Marketing use cases.
• Deliver on AI/ML roadmap for Marketing based on the architecture and platform capability.
• Accountable for identifying, embedding, promoting, and ensuring continuous improvement within the use of new data and data science techniques across the teams.
• Present analytical findings using data visualisation tools and creation of insight presentations for senior stakeholders.
• Development of new or improved analytic techniques to support customers unmet financial needs.

Job Types: Full-time, Permanent

Pay: ₹6,500,000.00 - ₹75,000,000.00 per year

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Supplemental Pay:

• Yearly bonus

Application Question(s):

• Do you have experience in delivering an AI/ML roadmap for Marketing based on the architecture and platform capability?

Experience:

• Data science: 10 years (Required)

Work Location: In person