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.
