Data Scientist

Data Scientist :-

Role & Responsibilities

• Collect, clean, preprocess, and analyze large datasets from diverse data sources.
  
• Perform

  exploratory and statistical analysis

  to extract meaningful patterns and relationships.
• Build, train, and evaluate

  machine learning models

  for regression, classification, or clustering problems.
• Implement

  feature engineering, model selection, and performance evaluation

  (accuracy, precision, recall, F1 score).
• Use

  Python

  and key libraries (Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, TensorFlow/PyTorch optional).
• Communicate analytical results and

  model insights

  clearly to business and technical teams.
• Collaborate with

  data engineers

  to deploy models into production and improve data pipelines.
• Stay updated on

  latest data science tools, frameworks, and trends

  in AI and ML.

Preferred Candidate Profile

• Experience:

  24 years as a Data Scientist or in a machine learningfocused analytics role.

• Education:

  Bachelors or Master’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• Technical Skills:

• Programming:

  Python (core), SQL (strong proficiency).

• Libraries:

  Pandas, NumPy, scikit-learn, Matplotlib, Seaborn (TensorFlow/PyTorch optional).

• Machine Learning:

  Regression, classification, clustering, model evaluation metrics.

• Statistics & Probability:

  Hypothesis testing, distributions, confidence intervals.

• Visualization Tools:

  Tableau, Power BI, or Python-based visualization.
• (Optional)

  Big Data & Cloud:

  Spark, Hadoop, AWS, Azure, GCP.

• Soft Skills:

• Strong analytical thinking and data-driven decision-making.
  
• Excellent problem-solving and mathematical aptitude.
  
• Effective communicator able to translate complex models into business value.
  
• Proactive learner with curiosity about new tools and methods.