Senior Data Scientist

3 days ago

Haryana, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Developing a Data Scientist Role

Job Description

We are seeking an experienced and analytical Data Scientist with 5-7 years of professional experience to join our data science team. The ideal candidate will be a technical expert and a strategic thinker, capable of turning complex datasets into actionable insights and robust predictive models.

You will play a key role in the entire data science lifecycle, from problem definition and data exploration to model development, validation, and deployment. Expertise in traditional statistical modeling and modern deep learning techniques, including Generative AI, is highly valued.

Key Responsibilities
  1. Collaborate with stakeholders across business units (e.g., Product, Marketing, Operations) to identify key business questions and formulate data-driven solutions.
  2. Translate business needs into a clear, structured data science problem and define the project scope, objectives, and success metrics.
  3. Drive strategic initiatives by providing data-backed recommendations to senior leadership.
Data Analysis & Modeling
  1. Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for modeling.
  2. Develop, implement, and validate machine learning models (e.g., classification, regression, clustering, time series analysis) to solve complex business problems.
  3. Design and conduct experiments (A/B testing) to measure the impact of new features or changes on business outcomes.
Ai & Advanced Techniques
  1. Research, evaluate, and apply advanced deep learning techniques, including Generative AI models (e.g., Large Language Models, Diffusion Models), to create innovative solutions.
  2. Develop and implement strategies for prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning models to enhance performance and contextual relevance.
  3. Stay current with the latest research and trends in AI and machine learning, and assess their applicability to our business needs.
Collaboration & Tooling
  1. Clearly communicate findings, methodologies, and the impact of models to both technical and non-technical audiences through reports, dashboards, and presentations.
  2. Partner with Data Engineers to build scalable data pipelines and with MLOps Engineers to deploy models into production.
  3. Mentor junior data scientists and contribute to a culture of continuous learning and data literacy within the organization.
Qualifications & Skills

Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related field.

5-7 years of hands-on experience as a Data Scientist or in a similar role, with a strong portfolio of projects that have been successfully deployed and delivered measurable business value.

Expert proficiency in Python and its data science ecosystem (Pandas, NumPy, SciPy, etc.).

Deep understanding of a wide range of ML algorithms and statistical modeling techniques.

Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and an understanding of neural network architectures.

Practical experience with Large Language Models (LLMs), prompt engineering, and fine-tuning.

Strong SQL skills.

Proven ability to define and solve complex, ambiguous problems with an analytical and methodical approach.

Excellent written and verbal communication skills, with the ability to present complex technical concepts clearly and concisely to diverse audiences.

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