Data Science- Consultant

• Collect, clean, and preprocess structured and unstructured data.
• Build, test, and deploy machine learning models (supervised, unsupervised, NLP, time series, etc.).
• Develop predictive and prescriptive analytics solutions.
• Work closely with cross functional teams (Product, Engineering, Marketing, Finance, Operations) to identify analytical opportunities and Translate business problems into analytical frameworks and data solutions.
• Present insights, dashboards, and recommendations to technical and non technical stakeholders.
• Collaborate with data engineering teams to build and optimize data pipelines.
• Ensure data quality, reliability, and scalability across systems and platforms and Automate data workflows where needed.
• Develop visualizations using tools like Power BI, Tableau, or custom dashboards and Communicate insights effectively using storytelling techniques.
• Deploy ML models into production environments, monitor model performance and retrain/improve models as required.
• Maintain documentation of methodologies, experiments, and results.

• Bachelors or masters degree in data science, Computer Science, Statistics, Mathematics, Engineering, or related fields.
• 6 -8 years of experience in data science, analytics, or machine learning roles.
• Strong programming skills in Python.
• Experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.
• Strong SQL skills and understanding of relational databases.
• Hands-on experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in data visualization tools (Power BI, Tableau, matplotlib, seaborn, etc.).

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