Data Scientist Job

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.

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.