Description

Lead the end-to-end delivery of analytical solutions, from initial problem scoping to final deployment and insight delivery.

This role is on-site.

Responsibilities

• Own the full data science lifecycle including data gathering, exploratory data analysis, modeling, and visualization.
• Build and validate predictive models and machine learning algorithms using ensemble modeling techniques.
• Automate data collection processes and preprocess both structured and unstructured data.
• Document model methodologies, performance metrics, and hypothesis testing results.
• Collaborate with cross-functional teams to propose data-driven strategies for business challenges.

Required Skills

• 10+ years of experience in data science, advanced statistics, or business analytics.
• Proficiency in Python for data manipulation and statistical modeling.
• Strong expertise in SQL and data modeling techniques.
• Hands-on experience with RDBMS, NoSQL, and MongoDB.
• Practical knowledge of machine learning techniques including clustering, decision trees, and artificial neural networks.
• Deep understanding of advanced statistical concepts such as regression, distributions, and statistical testing.
• Proven experience in MLOps.
• Strong grasp of data structures, algorithms, and data architectures.
• Ability to perform data mining and analyze large datasets for trends and patterns.

Preferred Skills

• Experience with non-linear machine learning techniques.

Key Skills

Education

Bachelor's degree