Data Model Architect

3 days ago

Hubli, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Data Scientist Position

We are seeking a skilled Senior Data Scientist to join our team. As a dynamic and innovative professional, you will play a pivotal role in building, refining, and deploying advanced models that empower the business with predictive and prescriptive insights.

The ideal candidate will have a strong background in machine learning and statistics, with expertise in designing and developing robust models tailored to solving complex business problems. You will work closely with data engineers, business stakeholders, and fellow data scientists to deliver projects from ideation through to production deployment.

Main Responsibilities:

  • Model Building: Design and develop high-performing machine learning models using relevant algorithms and techniques.
  • 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 and translate business needs into analytical solutions.
  • Documentation & Best Practices: Maintain comprehensive documentation for models, codebases, and analytical processes.
  • Innovation & Learning: Stay up-to-date with the latest developments in data science, machine learning, and AI.

Required Qualifications:

  • 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.
  • Experience with cloud platforms and model deployment tools is highly desirable.
  • Familiarity with big data technologies and database systems is also highly desirable.
  • Strong grasp of statistical concepts, hypothesis testing, and experimental design.
  • Excellent problem-solving skills and ability to convey complex technical concepts to non-technical audiences.

Preferred Qualifications:

  • Experience in deploying models into real-time or high-availability production environments.
  • Familiarity with MLOps practices and tools.
  • Knowledge of data visualisation tools.
  • Experience with CI/CD pipelines for ML projects.
  • Domain expertise in areas such as finance, healthcare, retail, or marketing analytics.

Core Competencies:

  • Technical Excellence: Demonstrates expertise in applying data science techniques to solve real-world problems.
  • Business Acumen: Understands business drivers and challenges.
  • Ownership & Accountability: Takes responsibility for deliverables and timelines.
  • Collaboration: Fosters an inclusive and supportive team environment.
  • Adaptability: Embraces change and learns quickly.

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