Advanced Data Model Developer

3 days ago

Tirupati, Andhra Pradesh, India beBeeMachine Full time ₹ 15,00,000 - ₹ 25,00,000

About Data Science:

We are a dynamic team of data analysts and scientists, passionate about transforming data into actionable insights. Our mission is to drive strategic decisions and innovation across the organisation.

Job Overview:

This position plays a pivotal role in building, refining, and deploying advanced models that empower the business with predictive and prescriptive insights.

  • Main 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.

Key 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.

Favourite Qualifications:

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

Core Competencies:

  • Technical Expertise: 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.

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