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Vice President - Data Science
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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:
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