Director Data Science( Hands On Role | Bangalore Based)

About Our Client

The client is a leader into the Ad Tech space with multiple accolades and recognitions for its working culture and quality of people. It is a highly technology driven organisation where even the leaders stay very close to the technology and get their hands dirty at times.

• Overall accountability for execution and successful release of data science features and Solutions
• Sets the right balance between research development / delivery modes, balancing needs of the business requirements short term whilst also building towards longer term capabilities
• Inspire and lead a talented team of Data scientists, mentor the team leads into more well-rounded managers and leaders
• Provide thought leadership on how machine learning models and automation can improve the efficiency of programmatic media buying and targeting
• Establish and lead MLOps practices for the development, deployment, and monitoring of machine learning models

• 12+ years of experience in data science, machine learning, and analytics, or related roles, with at least 5+ years in a leadership position
• Proven expertise in designing and implementing Machine Learning, Optimization, NLP, Deep Learning, & Gen AI techniques
• Strong understanding of MLOps tools and practices, including model versioning, monitoring, and continuous deployment
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) to build scalable AI systems and pipelines
• Experience with at-least one programming language - Python, R
• Continuous improvement, iterate fast, fail-fast mindset who is relentlessly looking for opportunities to bring in incremental and step changes across people, processes and technology.
• Proven ability to lead & develop teams, manage cross-functional relationships & communicate effectively with stakeholders.
• Experience managing & strategizing multiple projects, prioritizing effectively, and meeting deadlines in a fast-paced environment.

• Disruptive projects: Work on 'breakthrough' digital-and-analytics projects to enable the vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us.
• Cross functional leadership exposure: Work directly under guidance of top leadership, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team, allowing multi-functional learning in D&A deployment
• Environment fostering professional and personal development: Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions.