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Manager Data Scientist

Dentsu
NewPosted yesterday

LOCATION

Maharashtra Pune · Onsite

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

PythonSQLMachine LearningStatistical ModelingPredictive ModelingSegmentationStakeholder Management

Job description

Overview

Join the analytics team as a Data Scientist working on data-driven business problems, including propensity modelling, customer analytics, sentiment analysis and emerging AI/LLM use cases.

What you'll do

  • 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.

What you'll need

  • Strong Python and 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.

Nice to have

  • Working knowledge of LLMs / Generative AI and NLP.
  • Experience with Treasure Data CDP.
  • Experience in Marketing / Customer Analytics.
  • Automotive domain experience.

Details

  • Location: India - Maharashtra - Pune - Baner - Amar Madhuban Tech Park.
  • Brand: Merkle.
  • Time type: Full time.
  • Contract type: Permanent.

Read the full description and apply on the company’s own careers page.

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Manager Data Scientist