Senior Data Scientist
4 days ago
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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