Strategic Insights Leader

1 day ago

Noida, Uttar Pradesh, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Data Scientist

Job Summary

We are seeking an experienced and skilled Senior Data Scientist to lead data-driven initiatives, drive strategic business decisions, and foster a culture of innovation.

The ideal candidate will extract actionable insights from complex datasets, build advanced predictive models, and collaborate with cross-functional teams to develop and implement data-driven solutions.

  • Lead the end-to-end lifecycle of data science projects, including problem formulation, data collection, cleaning, exploration, feature engineering, model development, evaluation, and deployment.
  • Develop and implement statistical and machine learning models to solve complex business problems and optimize processes.
  • Translate business objectives into data-driven solutions and communicate insights effectively to technical and non-technical stakeholders.
  • Collaborate with data engineers and software developers to deploy scalable machine learning models in production environments.
  • Mentor junior data scientists and analysts, fostering knowledge sharing and best practices in data science methodologies.
  • Conduct research on new data science techniques, tools, and industry trends, and apply them to enhance existing models and solutions.
  • Ensure data quality and integrity by designing robust data validation and testing procedures.
  • Design experiments and A/B tests to validate model performance and business impact.

Requirements

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 5+ years of professional experience as a data scientist or in a related analytical role.
  • Strong programming skills in Python and/or R; proficiency with data manipulation libraries such as pandas, NumPy, and visualization tools like Matplotlib or Tableau.
  • Expertise in machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
  • Solid understanding of statistical methods, hypothesis testing, and experimental design.
  • Experience with big data technologies (Spark, Hadoop) and SQL/noSQL databases.
  • Familiarity with cloud platforms like AWS, Azure, or GCP for data processing and model deployment.

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