Chief Analytics Strategist

2 days ago

Vadodara, Gujarat, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000

Key Insights for Strategic Decision Making

Our team thrives at the intersection of curiosity, rigor, and business impact. We are passionate about transforming data into actionable insights that drive strategic decisions and innovation across the organisation.

Position Overview:

The role will play a pivotal part in building, refining, and deploying advanced models that empower the business with predictive and prescriptive insights.

Key Responsibilities:

  • Model Building: Design and develop robust machine learning and statistical models tailored to solving complex business problems.
  • Model Refinement: Continuously monitor, test, and improve models based on feedback, new data, or changing business requirements.
  • Model Deployment: Deploy models to production environments, ensuring scalability, stability, and maintainability.
  • Data Analysis & Exploration: Analyse large and complex datasets to uncover trends, patterns, and opportunities.
  • Collaboration & Communication: 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.
  • Documentation & Best Practices: Maintain comprehensive documentation for models, codebases, and analytical processes.

Required Skills:

  • 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.

Preferred Qualifications:

  • Experience in deploying models into real-time or high-availability production environments.
  • Familiarity with MLOps practices and tools.

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.

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