Data Scientist

Department Icon Data Science Analytics & Machine Learning
Posted: 3 weeks ago
5-10 years
Noida,Gurgaon/Gurugram,Delhi NCR
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 18 Nov 2026

Posted: 3 weeks ago
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Job Description

Job Overview:

We are looking for an experienced Data Scientist with 5+ years of experience in data science, machine learning, and statistical analysis. The ideal candidate will be responsible for developing data-driven solutions, building and deploying machine learning models, and translating complex business problems into actionable insights.

Key Responsibilities:

  • Analyze large and complex datasets to identify trends, patterns, and actionable business insights.
  • Develop, train, validate, and optimize machine learning and statistical models for business use cases.
  • Perform data preprocessing, feature engineering, exploratory data analysis, and model evaluation.
  • Collaborate with business, product, engineering, and analytics teams to understand requirements and define data science solutions.
  • Deploy and monitor machine learning models in production environments and ensure model performance and reliability.
  • Develop predictive and classification models using appropriate machine learning algorithms.
  • Create data visualizations and present analytical findings and recommendations to technical and non-technical stakeholders.
  • Implement best practices for model development, experimentation, documentation, and version control.

Required Skills:

  • 5+ years of experience in Data Science - Machine Learning.
  • Strong programming skills in Python.
  • Hands-on experience with Pandas, NumPy, Scikit-learn, and other data science libraries.
  • Strong understanding of statistics, probability, and machine learning algorithms.
  • Experience with SQL and working with large datasets.
  • Experience in data preprocessing, feature engineering, model validation, and optimization.
  • Knowledge of machine learning techniques such as regression, classification, clustering, and ensemble methods.
  • Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn.
  • Good understanding of model deployment, APIs, and ML lifecycle practices.
  • Strong analytical, problem-solving, and communication skills.

Skills

Data ScienceMachine LearningPythonSQLData AnalyticsTableauPower BIData ScientistData ManagementAnalyticsData VisualizationPythonData AnalysisData ScienceMachine LearningVisualizationData ScientistAnalyticsMlSqlModel EvaluationScikit-learnNumpyPandasModel DeploymentFeature Engineering

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