Data Scientist (Remote)

cus tech โ€ข India
Remote
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AI Summary

We are seeking a talented Data Scientist to analyze complex datasets, build predictive models, and generate actionable insights. You will work closely with engineering, product, and business teams in a remote-first environment.

Key Highlights
Analyze large datasets
Build predictive models
Generate actionable insights
Technical Skills Required
Python Pandas NumPy Scikit-learn SQL Matplotlib Seaborn Tableau Power BI
Benefits & Perks
Flexible hours
Remote work
Global time zone overlap

Job Description


Job Title: Data Scientist (Remote โ€“ India)

Location

Remote (India)

Work from anywhere in India | Flexible hours with overlap across global time zones

Job Summary

We are seeking a talented Data Scientist to analyze complex datasets, build predictive models, and generate actionable insights that drive data-informed decision-making. You will work closely with engineering, product, and business teams in a remote-first environment.

Key Responsibilities

  • Analyze large, structured and unstructured datasets to extract insights
  • Build, train, and evaluate statistical and machine learning models
  • Perform data cleaning, feature engineering, and preprocessing
  • Design and conduct experiments (A/B testing, hypothesis testing)
  • Create data visualizations and dashboards to communicate findings
  • Collaborate with engineers to deploy models into production
  • Document methodologies, assumptions, and results

Required Qualifications

  • Bachelorโ€™s or Masterโ€™s degree in Data Science, Statistics, Computer Science, or related field
  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
  • Experience with SQL and relational databases
  • Solid understanding of statistics, probability, and data analysis
  • Experience working with data visualization tools (Matplotlib, Seaborn, Tableau, Power BI)
  • Strong problem-solving and communication skills

Preferred Qualifications

  • Experience with machine learning frameworks (TensorFlow, PyTorch)
  • Familiarity with big data tools (Spark, Hadoop)
  • Experience with cloud platforms (AWS, GCP, Azure)
  • Knowledge of MLOps or model deployment practices
  • Prior experience working in a remote or distributed team

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