Data Science Vice President

Wenger & Watson; Bengaluru; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Wenger & Watson in Bangalore seeks a Vice President of Data Science with 10+ years in analytics and strong leadership experience. The role focuses on translating business needs into scalable ML solutions, leading teams of data scientists, and delivering cross-functional impact.

Deep expertise in ML, experimental design, and performance monitoring is required, with proficiency in Python and SQL and familiarity with Spark, Hive, and Redshift.

Qualifications

• Masters degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field.
• 10+ years of experience in Data Science or Analytics, with at least 2-3 years of people management experience.
• Experience in search and recommendation side.
• Proven track record of building and deploying ML models in production at scale.
• Experience managing teams of 10+ data scientists and delivering across cross-functional charters.
• Deep expertise in ML algorithms, experimental design, and performance monitoring.
• Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
• Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
• Strong communication and stakeholder management skills with a bias for action and clarity in execution.

Skills

Leadership

Stakeholder management

Communication

Education

Master's degree in ML/CS/Statistics

Tools

Python

SQL

Spark

Hive

Redshift

Job description

Vice President - Data Scientist

Location - Bangalore

Requirement

• Masters degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative fi eld.
• 10+ years of experience in Data Science or Analytics, with at least 23 years of people management experience.
• Experience in search and recommendation side.
• Proven track record of building and deploying ML models in production at scale.
• Experience managing teams of 10+ data scientists and delivering across cross-functional charters.
• Deep expertise in ML algorithms, experimental design, and performance monitoring.
• Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift.
• Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately.
• Strong communication and stakeholder management skills with a bias for action and clarity in execution.

Bonus Points For

• Experience leading ML initiatives in B2C or e-commerce settings.
• Contributions to internal tools, open-source libraries, or research publications.
• Experience in personalization, recommendations, ranking, or supply chain ML problems.
• Strong understanding of ML system performance trade-offs latency, cost, and throughput.