Vice President - Data Science

Job Description:

Key responsibilities: As a VP Data Science, you will play a critical role in our data-driven decision-making process and be deeply connected into projects with multi market impact. You’ll be responsible for working closely with senior product, business and strategy leaders in building data science-first platforms, products and communities. If you’re passionate about leveraging data to solve real-world problems, we’d love to have you on our team!

Responsibilities:

Advanced Analytics and Modeling, Generative AI and NLP:

o   Develop and implement sophisticated statistical and machine learning algorithms including regression, classification, recommendation, natural language processing and computer vision models.

o   Closely work with Product and Business leaders to develop models and products using custom deep learning implemented with architectures like RNNs, CNNs, transformers.

• • Develop, train, and deploy classical ML models for regression, classification, clustering, time series forecasting.

  • Apply feature engineering techniques to ensure high model quality.

  • Build recommendation and optimization systems to enhance advertising performance (CPA, ROI, conversion rates).

  • Use statistical modelling and causal inference for experimental design and impact measurement.

  • Build LLM-powered systems using GPT, AWS Titan, Gemini, and BERT for semantic search, text classification, summarization, and conversational chatbots.

  • Implement object detection and OCR pipelines using ResNet, VGG, and CNNs for creative performance evaluation and audience attention measurement.

  • Build multimodal models combining image and text embeddings for ad performance prediction and content analysis.

  • Collaborate with cross-functional teams to liaise for business requirements, organize and attend and lead Data Science informal and formal sessions  

  • Lead on given tasks in end-to-end data science projects, from problem formulation to model deployment.

  • Manage project timelines, resources, and deliverables.

  • Collaborate with technical teams, business analysts to build data initiatives.

Qualifications:

• Education: Bachelor’s, Master’s or Ph.D. in a quantitative field (e.g., Data Science, AI, Computer Science, Statistics, Mathematics, or related).

• Experience:

• • Minimum of 8 years in data science, machine learning, or related roles.

  • Knowledge of media buying, advertising, digital marketing, programmatic buying, DSP’s, Meta Facebook Business Manager, TikTok campaign activation, is a strong good to have.

  • Familiarity with media planning and buying references and metrics will be preferred

  • Strong verbal, written communication skills and previous experience in senior stakeholder management is a plus

  • Technical Skills:

  • • Strong Proficiency in Python, or similar programming languages and efficient API development.

    • Strong knowledge of machine learning techniques (Regression, Classification, Clustering, Forecasting, Feature Engineering, Optimization, Recommendations, Computer Vision.).

    • Experience with big data tools (e.g., Spark) and cloud platforms (e.g., AWS, GCP, Azure) and data visualization software such as PowerBI, Tableau, Plotly, Advanced Excel

    • Good knowledge of data engineering methods and techniques including BigQuery, Snowflake, Data Lake design principles

    • Strong working knowledge of JIRA, Confluence and CI/CD pipelines, software IDE’s, repo management

    • Good knowledge of Technical project management especially working with data scientists, engineers, product managers

Location:

Mumbai

Brand:

Data Sciences

Time Type:

Full time

Contract Type:

Permanent