Data Innovation Specialist

2 days ago

Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,10,00,000

Job Overview:

We are seeking a Senior Data Analyst with expertise in developing innovative AI & ML solutions.

Key Responsibilities:

  • Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques.
  • Design, develop and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making.
  • Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy.
  • Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration.
  • Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness.
  • Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions.
  • Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions.

Requirements:

  • 5 to 12 years of demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques.
  • Proficiency in programming languages such as Python and cloud platforms like Azure and Snowflake.
  • Strong knowledge of SQL and experience working with various database systems and big data technologies.
  • Proven track record of developing and deploying machine learning models in production environments.
  • Strong mathematics background including statistics, probability, linear algebra, and calculus.
  • Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.
  • Knowledge of ethical considerations in AI development including bias detection and mitigation techniques.

What We Offer:

  • A dynamic work environment with opportunities to work on diverse projects.
  • A chance to work with a talented team of data scientists and engineers.
  • Professional growth and development opportunities.

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