Advanced Analytics Expert

3 hours ago

Cochin, Kerala, India beBeeDataScientist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Scientist Job Description

We are seeking a highly skilled and motivated Senior Data Scientist to join our team. The successful candidate 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 statistical modeling, with experience in designing and developing robust models tailored to solving complex business problems. They will also possess excellent collaboration and communication skills, with the ability to work cross-functionally with business leaders, product managers, analysts, and engineers.

Key Responsibilities:

  • Model Building: Develop and implement machine learning and statistical models to solve 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: Analyze large and complex datasets to uncover trends, patterns, and opportunities.
  • Collaboration & Communication: Work collaboratively with stakeholders to understand requirements, translate business needs into analytical solutions, and clearly communicate findings and recommendations.

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.

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.

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.

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