Senior Quantitative Analyst

2 days ago

Bareilly, Uttar Pradesh, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 25,00,000
Data Scientist Job Description

We are seeking a highly skilled and motivated Senior Data Scientist with over 5 years of experience in applying advanced Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Computer Vision (CV) techniques to real-world problems.

The ideal candidate will possess deep technical expertise, business acumen, and the ability to work independently and collaboratively in a fast-paced environment.

Key responsibilities include handling large datasets, extracting insights, manipulating data, and creating structured forms. Predictive modelling, statistics, trend analysis, and other data analysis techniques will be used to explore data and answer specific research questions.

We require a strong understanding of Generative AI models (LLMs, VLMs, MLLMs), Big Data ecosystems, and multi-modal neural networks. Proficiency in Python, R, Scikit-learn, Pandas, TensorFlow, PyTorch, SQL-based and NoSQL databases, statistical tools, and cloud platforms is essential.

A domain-specific focus on Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is preferred. The role involves working both independently and within a team setting, with excellent analytical, problem-solving, and communication skills required.

  • Act as a Data Scientist for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data.
  • Use predictive modelling, statistics, trend analysis and other data analysis techniques to explore data and to answer specific research questions.
  • Design, develop, and implement end-to-end data science solutions using structured and unstructured data.
  • Take inputs from stakeholders to develop statistical models (predictive modelling, forecasting etc.) and apply appropriate techniques such as Exploratory Analysis, Regression, and Association etc.
  • Develop executive presentation to present the analytical insights derived from the data analysis.
  • Flexible to work on any problem statement in the space of AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.).
  • Must have a business problem understanding specifically from the domain of Automobile, Manufacturing, E-commerce, Aviation & digital things.
  • Ability to deal well with ambiguity and act with autonomy.
  • Collaborates with the team in order to improve the effectiveness of computational models through the use of data and feedback from stakeholders.
  • Supports development of machine learning models with guidance from more senior co-workers.
  • Support and mentor junior data science team members, as needed.

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