Data Scientist

We are looking for a skilled Data Scientist with strong expertise in Python to design, develop, and deploy data-driven solutions. The ideal candidate should have experience in data analysis, statistical modeling, machine learning, and data visualization while working with structured and unstructured datasets. You will collaborate with cross-functional teams to solve business problems using advanced analytics and AI/ML techniques.

Key Responsibilities Collect, clean, preprocess, and analyze large datasets from multiple sources. Develop and implement machine learning and statistical models using Python. Build predictive models for classification, regression, clustering, and forecasting. Perform exploratory data analysis (EDA) to identify trends and business insights. Design and optimize data pipelines for model training and deployment. Develop APIs or deploy ML models using Flask/FastAPI or similar frameworks. Collaborate with Data Engineers, Software Developers, and Business Stakeholders. Create dashboards and visualizations using Power BI, Tableau, or Python visualization libraries. Monitor model performance and retrain models as required. Document methodologies, experiments, and technical solutions. Required Skills Strong programming experience in Python. Hands-on experience with: NumPy Pandas Scikit-learn Matplotlib Seaborn Knowledge of machine learning algorithms and model evaluation techniques. Experience with SQL and relational databases. Good understanding of statistics, probability, and data modeling. Experience with Jupyter Notebook or similar environments. Knowledge of Git/GitHub for version control. Familiarity with REST APIs and model deployment. Preferred Skills Deep Learning using TensorFlow or PyTorch. NLP (Natural Language Processing). Generative AI / LLMs. Experience with cloud platforms (AWS, Azure, or GCP). Docker and Kubernetes. Apache Spark or Databricks. MLOps tools such as MLflow, Kubeflow, or Azure ML. CI/CD pipelines for ML deployments. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Relevant certifications in Data Science, Machine Learning, or Cloud technologies are a plus. Experience 3–8 years of experience in Data Science or Machine Learning. Proven experience delivering end-to-end analytics or ML projects in production environments. Nice to Have Time Series Forecasting Recommendation Systems Computer Vision Feature Engineering Big Data Technologies (Spark, Hadoop) Snowflake or Redshift Azure Databricks Airflow Key Competencies Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to work independently and within cross-functional teams. Business acumen with a data-driven mindset.