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ADM
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Sr. Data Scientist

Sr. Data Scientist

ADM

4 - 8 years

9 - 14 Lacs

Bengaluru

Posted:1 day ago| Platform:

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Skills Required

Computer science Data analysis Prototype Nutrition data science Neural networks Machine learning Data processing SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

;:"

Your responsibilities

The Senior Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes.

Key Responsibilities:

Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives.

Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes.

Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM\u0027s, LVM\u0027s, TTS etc.

Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions.

Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration.

Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems.

Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems.

Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks.

Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact.

Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

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Sr. Data Scientist