Data Scientist

3 hours ago

Hyderabad Telangana India, Telangana Tata Consultancy Services Full time

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.

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