Senior Data Scientist

3 days ago

Gurgaon, Haryana, India Integrated Wireless Solutions Full time

Exp: 8+ Years

Budget: 20-30 LPA

Location: Gurgaon (Hybrid)

Job Summary:

We are seeking a highly experienced Senior Data Scientist with 7-8 years of hands-on expertise in Python, Advanced Analytics, Generative AI (GenAI) technologies, and AWS storage solutions. The ideal candidate should also have knowledge of BI tool implementation, along with a good understanding of CSS for data presentation. Data visualization skills are a plus.

Key Responsibilities:

  • Develop and deploy advanced analytics models.
  • Work with Generative AI (GenAI) technologies for AI model development.
  • Manage and process large datasets using cloud-based storage solutions.
  • Implement and integrate BI tools for reporting and dashboards.
  • Utilize CSS to enhance the UI/UX of data-driven applications.
  • Develop data pipelines and ETL processes to support analytical solutions.
  • Optimize models for efficiency, scalability, and performance.
  • Work closely with cross-functional teams including engineers, analysts, and business stakeholders.
  • Ensure compliance with data governance, security, and best practices.

Required Skills:

  • Strong hands-on experience in data science and analytics.
  • Expertise in AI/ML model development and optimization.
  • Experience working with cloud storage solutions and data lakes
    .
  • Knowledge of BI tool implementation and reporting frameworks.
  • Familiarity with CSS for data presentation and visualization.
  • Understanding of database management and query optimization.
  • Ability to work with large datasets and big data technologies.
  • Proficiency in Python programming for data processing, automation, and analytics.
  • Experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of Python-based data visualization tools like Matplotlib, Seaborn, or Plotly.
  • Ability to develop Python-based APIs and automation scripts for data workflows.
  • Experience in MLOps and deploying models in production.
  • Strong problem-solving and analytical skills.
  • Ability to collaborate with cross-functional teams and communicate insights effectively.

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