Data Scientist
Listed on 2026-01-13
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineer
Machine Learning / Data Science Engineer Tata Consultancy Services provided pay range
This range is provided by Tata Consultancy Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Must Have Technical/Functional Skills
• Programming & Technologies:
Proficient in Python, SQL, and R coding languages coupled with expertise in Domo, SAS, and web development languages. Adept in leveraging cloud technologies including AWS, Azure, and Hadoop ecosystems for scalable data solutions.
• Advanced Modeling:
Skilled in utilizing techniques like PCA, Lasso, and Elastic Net for feature selection, and deploying machine learning algorithms such as Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and Light
GBM for high-impact results.
• Data Visualization & Storytelling:
Adept at designing visually appealing data presentations and utilizing data storytelling techniques to effectively communicate insights. Proficient with Domo, Tableau, Power
BI, D3.js, and Matplotlib for creating data visualizations and dashboards. Experienced in transforming complex findings into actionable insights and narratives that resonate with diverse audiences.
Palantir & Skywise experience is a plus point
- Design and implement predictive models and machine learning algorithms to solve business problems.
- Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
- Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and Light
GBM. - Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
- Create interactive dashboards and visualizations using tools like Domo, Tableau, Power
BI, D3.js, and Matplotlib. - Communicate insights through compelling data storytelling for diverse stakeholders.
- Collaborate with cross-functional teams to integrate data solutions into business processes.
Mid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesIT Services and IT Consulting
Medical insurance
Vision insurance
401(k)
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