Data Science Innovator

24 hours ago


Bellary, Karnataka, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000
Data Scientist Role Overview

As a Data Scientist, you will play a pivotal role in driving business objectives through innovative and efficient data-driven solutions.

Job Responsibilities:
  • Leverage expertise in machine learning to design, develop, and implement complex data models that drive business growth.
  • Utilize mathematical and statistical foundations to inform model development and evaluation, ensuring robustness and accuracy.
  • Collaborate with cross-functional Agile Scrum teams to deliver high-quality machine learning solutions that meet business requirements.
  • Document business processes and workflows clearly, ensuring seamless communication among stakeholders.
  • Pursue collaborative opportunities to brainstorm and refine project ideas, aligning with organizational goals.
Mandatory Skills:
  • Proficiency in Python, Machine Learning, REST API, and SQL.
  • Experience with data processing, cleansing, and verification to ensure data integrity for analysis.
  • Conduct data quality checks and exploratory analyses to inform model development.
  • Demonstrated programming skills in relevant languages, particularly Python and API development.
  • Build end-to-end machine learning models, including data structures and transformation processes.
  • Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression).
  • Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks).
Preferred Skills:
  • Experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures.
  • Understanding of natural language processing (NLP) techniques and their applications in business contexts.
  • Familiarity with advanced research topics, including deep learning, kernel methods, spectral methods, and forecasting.
  • Ability to integrate end-to-end ML solutions into product suites and business functions, with a focus on LLM applications.
Additional Responsibilities:
  • Stay updated with the latest advancements in machine learning and natural language processing.
  • Mentor junior team members on best practices in machine learning and LLM implementation.
  • Contribute to the development of best practices and standards for machine learning and LLM projects within the organization.

We are committed to creating a diverse environment and are an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


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