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Data Scientist

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Remote

Data Scientist

Vidushi Infotech

Data Scientist

Skills

Google Cloud PlatformSQL QueriesLookerBig DataE-commerce WebsitesTableauPythonData ScienceData VisualizationNumPypandasPyTorchTensorFlowRData AnalysisMachine LearningAWSHadoopPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Remote

Published on:

26 August 2026

What they need


Role : Data Scientist

Location: Remote, US time zone

Position Summary

The Data Scientist will support analytics, machine learning, and data-driven decision-making for the REI account. This role will work with business stakeholders to identify opportunities, build models, and deliver insights that improve operations, customer experience, and financial performance.

Key Responsibilities

  • Partner with business and IT stakeholders to identify analytics opportunities and define problem statements.
  • Collect, clean, and analyze large datasets from multiple sources.
  • Build predictive and prescriptive models using statistical and machine learning techniques.
  • Develop dashboards, reports, and visualizations to communicate insights.
  • Validate models, monitor performance, and iterate based on feedback.
  • Document methodologies, assumptions, results, and recommendations.
  • Support data governance, data quality, and security requirements.

Required Qualifications

  • 4+ years of experience in data science, analytics, or related roles.
  • Strong proficiency in Python, R, SQL, and data manipulation libraries (e.g., pandas, NumPy).
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Strong statistical analysis, modeling, and problem-solving skills.
  • Excellent communication and storytelling abilities.
  • Experience working in an offshore delivery model with US stakeholders.

Preferred Qualifications

  • Experience in retail, e-commerce, or consumer goods industries.
  • Experience with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop).
  • Advanced degree in statistics, computer science, engineering, or related field.

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