Advanced Analytics Expert

4 days ago

Kurnool, Andhra Pradesh, India beBeeData Full time US$ 1,50,000 - US$ 2,50,000

Job Opportunity: Advanced Analytics Expert

Location: Global

Skills and Qualifications:

  • Develop sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
  • Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks is essential.
  • Use data-driven solutions, analyze complex datasets, and derive actionable insights that lead to impactful outcomes.
  • Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.
  • Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.
  • Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.
  • Apply mathematical and statistical principles to guide developing and validating advanced data science models.
  • Stay up-to-date with industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.

What 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 capable of end-to-end project execution while planning an active hands-on role.
  • Good problem-solving skills are essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
  • Comprehensive knowledge of regression and classification concepts, as well as SQL.
  • Familiarity with other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) and their real-world applications.
  • Encourage collaboration with various stakeholders and take complete ownership of deliverables.
  • Deep understanding of various data science approaches, machine learning algorithms, and statistical methods.
  • Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations.
  • Effective mentoring of a team with expertise in industry/domain/functional areas.

Benefits:

  • Competitive compensation packages among the best in the industry.
  • Health insurance (self & family).
  • Virtual wellness platform.
  • Knowledge communities.

Additional Information:

We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

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