Principal Analytics Specialist

1 day ago

Anand, Gujarat, India beBeeDataScience Full time ₹ 30,00,000 - ₹ 40,00,000

Job Title: Senior / Lead Data Scientist

We are a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges.

We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale.

We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively.

As a Senior Data Scientist, your work is a combination of hands-on contribution to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.

You will lead and contribute to developing data-driven solutions, analysing complex datasets, and deriving actionable insights that lead to impactful outcomes.

You will work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.

Key responsibilities include:

  • Developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
  • Demonstrating proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code.
  • Using robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.
  • Collaborating with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
  • Leveraging a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.

We expect:

  • 6-10 years of total DS and model development experience.
  • A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role.
  • Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
  • Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL.
  • Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems.

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