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Manager Data Scientist

On-site Amar Madhuban Tech Park, India full time
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.

Job Description:

 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.

Must-Have Skills

  • 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.

Good to Have

  • 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:

Permanent

Source: the employer's careers page. Last checked 2026-11-03. Posted 2026-11-03.

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