Description

You will analyze complex datasets to extract actionable patterns and build machine learning solutions. You own the end-to-end data lifecycle, from ingestion and munging to model deployment and stakeholder communication.

Responsibilities

• Develop and deploy advanced machine learning models using Python and associated libraries.
• Conduct detailed statistical analysis and data munging on large, high-volume, and real-time streaming datasets.
• Design, build, and configure applications while serving as the primary technical point of contact.
• Communicate technical findings and recommendations to stakeholders using data visualization tools.
• Collaborate with cross-functional teams to transform business requirements into functional technical solutions.

Required Skills

• 5+ years of experience in data science or related analytical roles.
• Proficiency in Python, Pandas, and NumPy.
• Hands-on experience with AWS and GCP.
• Experience with data munging and statistical analysis.
• Ability to use Tableau or Power BI for data visualization.
• Knowledge of the Hadoop ecosystem and distributed computing paradigms.
• Understanding of Micro Services Application Architecture and K8s/Docker concepts.
• Working knowledge of Databricks or Snowflake.

Preferred Skills

• Experience handling high-volume and real-time streaming datasets.
• Any Graduate degree.

Key Skills

Education

Any Graduate