We are seeking a talented Data Scientist with competency in Data Engineering capabilities to design, build, and deploy some advanced analytical solutions across a range of environmental sectors. This role is ideal for a professional who can develop machine learning models, support the engineering of robust data pipelines, and contribute to the broader technical architecture.
Data Science & Advanced Analytics
- Build, validate, and deploy sophisticated predictive and statistical models using contemporary Python-based libraries. (e.g., scikit-learn, TensorFlow, PyTorch)
- Conduct exploratory data analysis, statistical modelling, hypothesis testing, and insight generation to support strategic business decisions.
- Develop high-quality, interpretable data visualisations using Matplotlib, Seaborn, and similar tools.
- Translate complex analytical outcomes into clear, actionable insights for both technical and non-technical stakeholders.
Data Engineering & Pipeline Development
- Design and implement robust, scalable data orchestration pipelines using tools such as Airflow or Dagster.
- Work with big data technologies (Spark, Hadoop, Dask) to process and analyse large-scale datasets efficiently.
- Define and implement data models using ER diagrams, normalisation techniques (e.g., star schema, Snowflake), and modern ORM frameworks (e.g., SQLAlchemy).
- Provision, administer, and optimise relational databases, including schema design, indexing, and access management.
- Build high-performance APIs using frameworks such as FastAPI or Flask, following best RESTful design practices.
Software Engineering and DevOps Integration
- Develop modular, maintainable, object-oriented Python code using best practice design patterns and testing practices (CI/CD, unit tests, code reviews).
- Contribute to system architecture discussions, microservices design, and integration with cloud platforms notably Azure.
Collaboration and Leadership
- Work collaboratively across technical and non-technic
📌 Assistance Data Scientist (Karnataka)
🏢 Wsp
📍 Karnataka