Tata Consultancy Services
Data Scientist
Tata Consultancy Services, Titusville, New Jersey, United States,
Roles & Responsibilities
Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.Develop, validate, and deploy predictive models and machine learning algorithms.Write efficient SQL queries to extract, manipulate, and analyze data from various databases.Collaborate with business stakeholders to understand their requirements and translate them into analytical solutions.Present findings and insights to stakeholders through clear and compelling data visualizations and reports.Continuously explore and experiment with new data sources, tools, and techniques to improve analytical capabilities.Think creatively to develop innovative solutions for complex business problems.Work closely with data engineers to ensure data quality, integrity, and availability.Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.Stay updated with the latest advancements in data science, machine learning, and analytics.Minimum Requirements
Strong proficiency in SQL for data extraction, manipulation, and analysis.Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).Proficiency in programming languages such as Python or R.Strong analytical and problem-solving skills, with the ability to think creatively and "out of the box."
Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).Excellent communication and interpersonal skills, with the ability to present complex findings in a clear and concise manner.Ability to work effectively both independently and as part of a team.
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Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.Develop, validate, and deploy predictive models and machine learning algorithms.Write efficient SQL queries to extract, manipulate, and analyze data from various databases.Collaborate with business stakeholders to understand their requirements and translate them into analytical solutions.Present findings and insights to stakeholders through clear and compelling data visualizations and reports.Continuously explore and experiment with new data sources, tools, and techniques to improve analytical capabilities.Think creatively to develop innovative solutions for complex business problems.Work closely with data engineers to ensure data quality, integrity, and availability.Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.Stay updated with the latest advancements in data science, machine learning, and analytics.Minimum Requirements
Strong proficiency in SQL for data extraction, manipulation, and analysis.Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).Proficiency in programming languages such as Python or R.Strong analytical and problem-solving skills, with the ability to think creatively and "out of the box."
Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).Excellent communication and interpersonal skills, with the ability to present complex findings in a clear and concise manner.Ability to work effectively both independently and as part of a team.
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