Advanced Data Modeler

22 hours ago

Kottayam, Kerala, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About our Data Science team: We are passionate about transforming data into actionable insights, driving strategic decisions and innovation across the organisation.

Role Overview:

The role of a Senior Data Scientist is to play a pivotal role in building, refining, and deploying advanced models that empower the business with predictive and prescriptive insights. You will collaborate with data engineers, business stakeholders, and fellow data scientists to deliver projects from ideation through to production deployment.

Main Responsibilities:
  • Model Development: Design and develop robust machine learning and statistical models tailored to solving complex business problems.
  • Model Improvement: Continuously monitor, test, and improve models based on feedback, new data, or changing business requirements.
  • Deployment: Deploy models to production environments, ensuring scalability, stability, and maintainability.
  • Data Analysis: Analyse large and complex datasets to uncover trends, patterns, and opportunities.
  • Cross-functional Collaboration: Work with business leaders, product managers, analysts, and engineers to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.
  • Documentation and Best Practices: Maintain comprehensive documentation for models, codebases, and analytical processes.
Required Expertise:
  • 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.
PREFERRED SKILLS:
  • Experience in deploying models into real-time or high-availability production environments.
  • Familiarity with MLOps practices and tools.
  • Knowledge of data visualisation tools.

Key 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.
  • Collaboration: Fosters an inclusive and supportive team environment.

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