Qureos

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Data Scientist

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We are looking for a skilled and analytical Data Scientist to join our team. The ideal candidate will be responsible for collecting, processing, and interpreting complex datasets to help the organization make data-driven decisions. You will work closely with product, engineering, and business teams to build predictive models, analyze trends, and deliver actionable insights.

Key Responsibilities

  • Collect, clean, and analyze large datasets from multiple sources.
  • Build and deploy machine learning models for prediction and classification tasks.
  • Conduct statistical analysis, hypothesis testing, and A/B experiments.
  • Use Python/R and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
  • Create clear data visualizations and dashboards using Power BI, Tableau, or Python tools.
  • Work with stakeholders to understand business problems and propose data-driven solutions.
  • Communicate insights through presentations, reports, and storytelling.
  • Optimize models and ensure scalability in production environments.
  • Collaborate with data engineers to improve data pipelines and data quality.

Required Skills & Qualifications

  • Strong proficiency in Python or R.
  • Experience with machine learning, feature engineering, and statistical modelling.
  • Solid understanding of data structures, algorithms, and probability.
  • Hands-on experience with SQL and databases.
  • Experience with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch.
  • Ability to visualize data using Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
  • Strong understanding of ETL processes and data cleaning techniques.
  • Excellent analytical thinking and problem-solving abilities.

Contact Person: Rakesh HR

Contact Number: 9003745749

Experience: 0 - 4+ Years

Location: Coimbatore

Timings: 09.30 AM - 06.30 PM

Job Types: Full-time, Permanent, Fresher

Pay: ₹588,437.30 - ₹1,651,975.86 per year

Benefits:

  • Health insurance
  • Provident Fund

Work Location: In person

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