Data Scientist

Job Summary

We are looking for a highly skilled
Data Scientist
to analyze complex datasets, build predictive models, and create data-driven solutions that support business decisions. The ideal candidate is strong in statistics, machine learning, data wrangling, and communicating insights to stakeholders.

Key Responsibilities

• Collect, clean, and preprocess structured & unstructured datasets.
• Build machine learning models for prediction, classification, clustering, and optimization.
• Develop algorithms and statistical models to solve business problems.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
• Build dashboards and visualizations using tools like Tableau/PowerBI.
• Work closely with engineering, product, and business teams to implement data-driven strategies.
• Deploy models into production (using AWS, Azure, GCP, or Kubernetes preferred).
• Continuously monitor and improve model performance.
• Present insights and recommendations to leadership in a clear, actionable manner.

Required Skills & Qualifications

• Bachelor's or Master's in
  Computer Science, Data Science, Statistics, Mathematics, or related field
  .
• Strong knowledge of
  Python
  , Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
• Proficiency in
  SQL
  and experience working with large datasets.
• Experience with machine learning algorithms (supervised & unsupervised).
• Strong understanding of statistics and probability.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Knowledge of cloud platforms:
  AWS, Azure, or Google Cloud
  .
• Excellent problem-solving skills with the ability to translate data into strategy.

Preferred Skills (Nice to Have)

• Experience with NLP, deep learning, or time-series forecasting.
• Familiarity with Big Data tools (Hadoop, Spark, Databricks).
• Experience working with APIs or deploying ML models (MLOps).
• Knowledge of version control (Git) and CI/CD pipelines.