Manager Data Scientist

Fractal Ink Design Studio Private Limited

Pune District

On-site

INR 1,200,000 - 2,400,000

Full time

42 hours ago
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Job summary

Dentsu in Pune, India is seeking a Data Scientist to join our analytics team to tackle data-driven business problems. You will develop propensity models, perform customer analytics, sentiment analysis, and explore AI/LLM use cases to translate data into actionable business strategies.

You will work with large datasets, build and validate ML models, and present insights to clients and senior stakeholders to drive growth. The role requires strong Python/SQL, stats, and cloud experience.

Qualifications

  • Strong Python & SQL skills.
  • Solid foundation in statistics and ML.
  • Experience with BigQuery, GCS and Vertex AI.

Responsibilities

  • Develop and maintain ML models for business and marketing.
  • Perform feature engineering, model validation and evaluation.
  • Translate business problems into data-driven solutions.
  • Work with large customer datasets and CDP platforms.
  • Present insights to clients and senior stakeholders.

Skills

Python
SQL
Statistics
Data Analysis
Machine Learning
BigQuery
GCS
Vertex AI
CDP
Excel
Stakeholder mgmt
Client-facing

Tools

Treasure Data CDP

Job 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.
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

About dentsu

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work

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