Senior Data Insights Lead

1 week ago

Noida, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Summary

Drive business growth with data-driven insights as a Senior Data Scientist. We are seeking an experienced professional to lead analytics initiatives and extract actionable insights from complex datasets.

The ideal candidate will be responsible for developing advanced predictive models, communicating findings effectively to stakeholders, and collaborating with cross-functional teams to solve challenging problems using data science and machine learning techniques.

This role requires close collaboration and leadership in the end-to-end lifecycle of data science projects, including problem formulation, data collection, cleaning, exploration, feature engineering, model development, evaluation, and deployment.

Key Responsibilities:

  • Develop and implement advanced 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.
  • Work with large, diverse datasets, including structured, semi-structured, and unstructured data.
  • 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.
  • Develop dashboards and visualizations to track key metrics and monitor model performance.

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.
  • Strong problem-solving skills and the ability to work with ambiguous data.
  • Excellent communication skills with the ability to present complex technical concepts clearly to stakeholders.

Desirable Qualifications:

  • Experience in domain-specific data science applications such as finance, healthcare, e-commerce, or marketing analytics.
  • Knowledge of natural language processing (NLP), computer vision, or time-series forecasting.
  • Familiarity with MLOps tools and practices for continuous integration and deployment of ML models.
  • Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
  • Publications, patents, or contributions to open-source data science projects

About Us:

We provide data-driven solutions to help businesses make informed decisions through data analysis and strategic consulting.

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