Data Scientist

Data Scientist Summary We are seeking a highly skilled Data Scientist to join our IT Services team. In this pivotal role, you will leverage advanced statistical techniques and machine learning methodologies to drive innovation and solve complex business challenges. Your expertise will be instrumental in transforming raw data into actionable insights, supporting research and development initiatives, and deploying robust predictive models that enhance our service offerings.

This position is ideal for a professional with a strong foundation in data science who thrives in a dynamic environment and is eager to contribute to cutting-edge projects.

Responsibilities

Design and implement statistical models and algorithms to analyze large datasets and extract meaningful patterns. Develop and deploy machine learning models into production environments to ensure scalability and reliability. Create compelling data visualizations and reports to communicate findings and strategic recommendations to stakeholders.

Conduct rigorous research and development (R&D) to explore new AI methodologies and improve existing analytical frameworks. Utilize statistical computing tools to perform complex analyses, hypothesis testing, and probability assessments. Collaborate with cross-functional teams to identify data needs and deliver data-driven solutions aligned with business objectives.

Maintain and optimize Python or R codebases for efficiency and performance in data science workflows.

Requirements

Possess 3 to 5 years of professional experience in data science or a related field within the IT services sector. Demonstrate a salary expectation within the range of ₹15-20 LPA. Exhibit strong proficiency in Statistics & Probability and Statistical Modeling. Have hands-on experience with Data Visualization tools and techniques.

Be well-versed in AI Methodologies and the principles of Data Science. Show proven capability in ML Model Deployment and Statistical Computing. Possess advanced programming skills in Python or R. Display a solid background in Research and Development (R&D) activities.