Description

You will analyze large-scale datasets to derive actionable business insights and deploy machine learning models.

This role is hybrid.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop and deploy machine learning models and statistical solutions for business problems.
• Build scalable data pipelines and leverage big data technologies for data processing.
• Collaborate with engineering and business teams to define problem statements and model objectives.
• Communicate findings through data storytelling, reports, and dashboards.

Required Skills

• 10+ years of experience in data science and analytics.
• Proficiency in Python, R, and SQL.
• Hands-on experience with Spark, PySpark, Hadoop, and Hive.
• Experience with cloud-based data platforms such as AWS or GCP.
• Solid understanding of machine learning algorithms, statistics, and data modeling.
• Experience using Tableau for data visualization.
• Ability to work with large-scale datasets and big data platforms.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Gradute