Job Overview

We are seeking a Mid-Level Data Scientist to join our team in Chennai. This is a full-time role suitable for candidates with a minimum of 4 years and a maximum of 6 years of relevant work experience. As a Data Scientist, you will work on advanced data analytics, predictive modeling, and machine learning algorithms to drive business insights and solutions.

Qualifications and Skills

• Minimum of 4 years of experience in data science, with a focus on machine learning and predictive modeling.
• Proficiency in Python programming (Mandatory skill).
• Experience with machine learning frameworks and libraries such as TensorFlow, scikit-learn, or similar (Mandatory skill).
• Strong expertise in predictive modeling techniques (Mandatory skill).
• Capability in performing statistical analysis to derive actionable insights from data.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar for creating comprehensive dashboards and reports.
• Experience working with big data technologies and large datasets to extract meaningful patterns and trends.
• Knowledge of data mining techniques to identify and interpret complex data patterns.
• Strong quantitative analysis skills to support data-driven decision making across the organization.

Roles and Responsibilities

• Develop and implement machine learning models and algorithms to solve business problems and enhance decision-making processes.
• Perform data extraction, cleaning, and preprocessing to ensure data quality and accuracy.
• Collaborate with cross-functional teams to identify data-driven opportunities and deliver actionable insights.
• Create and maintain reports, visualizations, and presentations to communicate findings and recommendations to stakeholders.
• Conduct exploratory data analysis to uncover trends, patterns, and insights that drive business performance.
• Design and execute experiments to test hypotheses and evaluate the effectiveness of different strategies.
• Utilize big data tools and technologies to manage and analyze large datasets efficiently.
• Continuously stay updated with the latest advancements in data science, machine learning, and analytics techniques to implement best practices.