Data Scientist

Greetings from TCS!

Job Title: Data Scientist Required Skillset:

As a Data Scientist, you will be responsible for designing, implementing, and maintaining data pipelines, ETL processes, and data workflows that drive the organization’s data-driven initiatives. You will work closely with cross-functional teams to translate business requirements into data solutions, ensuring the quality and integrity of data across systems. Experience Range: 6-8 years Location: Pune/Kolkata

Job Description Must-Have**

Technical Proficiency: Strong understanding of data pipelines, ETL processes, and data workflows. Ability to perform data wrangling and transformation efficiently. Data Analysis & Insight Generation: Expertise in data analysis, data modeling, and generating actionable insights. Ability to utilize machine learning algorithms and statistical techniques for data discovery. Collaboration and Communication: Ability to collaborate effectively with cross-functional teams and gather business requirements. Strong communication skills to present insights clearly to stakeholders at all levels. Data Integrity & Quality Management : Deep understanding of data quality standards, ensuring data integrity across various systems. Problem-Solving: Strong analytical mindset with the ability to solve complex data challenges.

Good To Have: Familiarity with Emerging Technologies : Awareness of the latest tools, frameworks, and technologies in data science and analytics. Advanced Machine Learning: Experience with more advanced machine learning frameworks (e.g., TensorFlow, PyTorch) or specialized algorithms (e.g., deep learning, reinforcement learning).

Responsibility of / Expectations from the Role :

Design, implement, and maintain

robust data pipelines, ETL processes, and automated data workflows to support organizational data needs. Conduct data analysis, modeling, and visualization

to uncover insights and provide actionable recommendations that support decision-making. Develop and uphold data quality standards , ensuring data integrity across multiple systems and platforms. Collaborate with multiple teams

to gather business requirements and develop data-driven solutions tailored to those needs. Perform data wrangling

on large, complex datasets, ensuring they are cleaned, transformed, and ready for analysis. Leverage statistical techniques and machine learning algorithms

to identify patterns, trends, and predictive insights within the data. Communicate findings

effectively through clear reports and visualizations, presenting data-driven recommendations to stakeholders. Stay current with emerging technologies, tools, and best practices

in data science, analytics, and machine learning, and continuously implement improvements.

Thanks & Regards, Ria Aarthi A.