Data Scientist

January 10, 2026
Application ends: April 10, 2026

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Job Description

Key Responsibilities

  • Collect, preprocess, and analyze structured and unstructured data from multiple sources.
  • Develop and implement machine learning models, predictive algorithms, and statistical analyses.
  • Design and run experiments to validate hypotheses and measure outcomes.
  • Collaborate with cross-functional teams to translate business problems into analytical solutions.
  • Present insights, findings, and recommendations through visualizations and storytelling.
  • Build scalable, production-ready models and monitor their performance over time.
  • Ensure data integrity, quality, and compliance with company standards and policies.
  • Stay up to date with emerging trends, tools, and techniques in data science and AI.

Work Experience

Experience and Skills:

Qualifications 

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience as a Data Scientist or in a similar role with the project details
  • Strong programming skills in Python or R, with experience in libraries/frameworks (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
  • Proficiency in SQL and working with large datasets.
  • Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).
  • Excellent problem-solving skills and business acumen.
  • Strong communication skills to explain complex concepts to both technical and non-technical audiences.

Preferred Skills

  • Experience with big data technologies (Hadoop, Spark, or Databricks).
  • Familiarity with cloud platforms (AWS, GCP, or Azure).
  • Knowledge of MLOps practices and model deployment pipelines.
  • Background in natural language processing (NLP), computer vision, or deep learning.
  • Experience in a specific domain (finance, healthcare, e-commerce, etc.) is a plus.

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