VP Data Science
- Ugam
- 8 - 13 years
- Mumbai
- 30 days ago
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Job Description
Industry-Media,Banking and finance, healthcare,
Key points : understanding of ML models; deployed any model into production; handson experience with gen AI or LLMs; experience with software engineering side of ML or deployment, data engineering, data tables or big data experience.
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. Youll be responsible for working closely with senior product, business and strategy leaders in building data science-first platforms, products and communities. If youre passionate about leveraging data to solve real-world problems, wed love to have you on our team!
Responsibilities:
Advanced Analytics and Modeling, Generative AI and NLP:
- Develop and implement sophisticated statistical and machine learning algorithms including regression, classification, recommendation, natural language processing and computer vision models.
- 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: Bachelors, Masters 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, DSPs, 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 IDEs, repo management
- Good knowledge of Technical project management especially working with data scientists, engineers, product managers
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: UgamLocation(s): Mumbai
Keyskills: LLMs ML models gen AI data engineering Machine Learning data tables Big Data deployment
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