Senior Data Strategist

2 weeks ago

Panchkula, Haryana, India beBeeData Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Job Opportunity

We are seeking a seasoned and highly analytical data expert with 5-7 years of professional experience to fill a key role in our dynamic team.

The ideal candidate will be a technical leader and a strategic thinker, capable of turning complex datasets into actionable insights and robust predictive models.

You will play a pivotal part in the entire data science lifecycle, from problem definition and data exploration to model development, validation, and deployment.

Key Responsibilities
  • Collaborate with stakeholders across business units (e.g., Product, Marketing, Operations) to identify key business questions and formulate data-driven solutions.
  • Translate business needs into a clear, structured data science problem and define the project scope, objectives, and success metrics.
Data Analysis & Modeling
  • Perform exploratory data analysis (EDA), data cleaning, and feature engineering to prepare data for modeling.
  • Develop, implement, and validate machine learning models (e.g., classification, regression, clustering, time series analysis) to solve complex business problems.
Artificial Intelligence & Advanced Techniques
  • Research, evaluate, and apply advanced deep learning techniques, including Generative AI models (e.g., Large Language Models, Diffusion Models), to create innovative solutions.
  • Develop and implement strategies for prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning models to enhance performance and contextual relevance.
& Collaboration
  • Clearly communicate findings, methodologies, and the impact of models to both technical and non-technical audiences through reports, dashboards, and presentations.
  • Partner with Data Engineers to build scalable data pipelines and with MLOps Engineers to deploy models into production.
& Tooling
  • Write production-quality code in Python for data analysis, modeling, and automation.
  • Utilize version control systems (e.g., Git) and collaborate effectively on shared codebases.
Requirements
  • 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.
Skills
  • 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.
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