Career Advancing Senior Data Professional

1 week ago

Varanasi, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,01,00,000

Unlock Career Advancement Opportunities

">**Senior Data Scientist Job Description**

At our organization, we're seeking a highly skilled data professional to drive strategic business outcomes. As a key member of the data science group, you'll be responsible for developing and deploying machine learning models, extracting insights from complex datasets, and building scalable, data-driven solutions.

This is an exciting opportunity to apply advanced data science techniques in a fast-growing, innovation-led environment. You'll collaborate with cross-functional teams to drive strategic business outcomes and work closely with engineers to build efficient data pipelines.

We're looking for a Senior Data Scientist with 5+ years of experience in data science and machine learning. You should have strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas. Experience with machine learning model development, deployment, and maintenance is essential.

Key responsibilities include:

  • Developing and deploying machine learning models using Python and relevant libraries.
  • Extracting insights from complex data and communicating findings to stakeholders.
  • Designing and implementing data-driven solutions, including real-time and batch processing systems.
  • Collaborating with engineers to build scalable and efficient data pipelines.

**Required Skills and Qualifications:**

  • 5+ years of experience in data science and machine learning.
  • Strong proficiency in Python and relevant libraries (PyTorch, scikit-learn, pandas).
  • Experience with machine learning model development, deployment, and maintenance.

**Benefits:**

  • Opportunity to work on cutting-edge projects.
  • Collaborative team environment.
  • Professional growth and development opportunities.

**If You're Interested:**

  • Apply your skills and expertise to drive business outcomes.
  • Contribute to the development of innovative data-driven solutions.
  • Collaborate with cross-functional teams to achieve strategic goals.

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