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Data Scientist

Data Scientist

Tata Consultancy ServicesBharatpur, IN
30+ days ago
Job description

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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