Manager Data Scientist
Posted Updated
Description
e are looking for a Data Scientist to join our analytics team and work on data-driven business problems. The role will involve propensity modelling, customer analytics, sentiment analysis and emerging AI/LLM use cases, with a strong focus on translating data into actionable insights and business strategies.
Key Responsibilities
- Develop and maintain Machine Learning and statistical models for business and marketing use cases.
- Work on propensity modelling, customer analytics, segmentation and sentiment analysis .
- Perform data analysis, feature engineering, model development, validation and performance evaluation.
- Translate business problems into data-driven solutions and strategies that contribute to client growth.
- Work with large customer datasets and Customer Data Platforms (CDP) .
- Present insights and recommendations to clients and senior stakeholders.
- Strong Python SQL skills.
- Strong understanding of Statistics, Data Analysis and Machine Learning .
- Hands-on experience with BigQuery, Google Cloud Storage (GCS), VertexAI .
- Knowledge of Customer Data Platforms (CDP) .
- Good proficiency in MS Excel .
- Strong analytical, problem-solving and communication skills.
- Ability to work effectively with clients and cross-functional teams .
- Strong stakeholder management and client-facing experience.
- Ability to build data-driven strategies and identify business growth opportunities.
- Strong team player with excellent communication and presentation skills.
- Working knowledge of LLMs / Generative AI and NLP.
- Experience with Treasure Data CDP .
- Experience in Marketing / Customer Analytics .
- Automotive domain experience.
Location:
India - Maharashtra- Pune - Baner - Amar Madhuban Tech Park Brand:
Merkle Time Type:
Full time Contract Type:
PermanentDisclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.