Senior Data Insights Expert

10 hours ago

Meerut, Uttar Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Data Scientist Role Overview

Transform data into actionable insights and drive strategic decisions with our Data Analytics Team.

We thrive at the intersection of curiosity, rigour, and business impact. Our passion is to empower the business with predictive and prescriptive insights.

Key Responsibilities:

  • Design and develop robust machine learning and statistical models tailored to solving complex business problems.
  • Continuously monitor, test, and improve models based on feedback, new data, or changing business requirements.
  • Deploy models to production environments, ensuring scalability, stability, and maintainability.
  • Analyse large and complex datasets to uncover trends, patterns, and opportunities.
  • Work cross-functionally with business leaders, product managers, analysts, and engineers to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.
  • Maintain comprehensive documentation for models, codebases, and analytical processes.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
  • Proven experience (3+ years) in building, refining, and deploying machine learning/statistical models in a professional setting.
  • Strong programming skills in Python, R, or similar languages, with proficiency in machine learning libraries.
  • Solid understanding of data structures, algorithms, and software engineering principles.

Core Competencies:

  • Technical Excellence: Demonstrates expertise in applying data science techniques to solve real-world problems.
  • Business Acumen: Understands business drivers and challenges, aligning analytical approaches with organisational goals.
  • Ownership & Accountability: Takes responsibility for deliverables, timelines, and quality of work.

Innovation & Learning: Stay up-to-date with the latest developments in data science, machine learning, and AI.

Preferred Qualifications: Experience in deploying models into real-time or high-availability production environments, familiarity with MLOps practices and tools, and knowledge of data visualisation tools.

Our Expectations:

  • Technical excellence in data science techniques.
  • Ability to collaborate with cross-functional teams.
  • Excellent problem-solving skills and communication skills.
  • Adaptability in response to feedback or shifting priorities.

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