Data Scientist - Dataiku (6-7 yrs)

Role : Data Scientist

Location : Pune

Experience : 6 years

NOTE : Immediate joiners

Mandatory skills :

- Technical Skills: Programming Languages: Proficiency in Python, R, or similar languages for data analysis and model development.

- Data Modeling: Strong skills in data modeling with experience in SQL and NoSQL databases.

- Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.

- Data Science Platforms: Experience with Dataiku Data Science platform and familiarity with Microsoft Azure services, including Azure ML Studio and Azure Copilot Studio.

- Version Control: Experience with Microsoft DevOps as version control systems

Key Accountabilities and Responsibilities:

- Data Exploration and Preparation: Data Analysis: Perform comprehensive analysis of structured and unstructured datasets using statistical and exploratory data analysis (EDA) techniques to uncover patterns and insights.

- Data Cleaning and Transformation: Clean, preprocess, and transform raw data to ensure quality and readiness for analysis and modeling.

- Feature Engineering: Develop and select relevant features to enhance model performance and predictive capabilities.

- Model Development and Deployment: Machine Learning: Design, implement, and validate machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or similar.

- Predictive Modeling: Create and refine predictive models to solve business problems, leveraging techniques like regression, classification, clustering, and time-series analysis.

- Scalable Pipelines: Develop and maintain scalable data pipelines using SQL, NoSQL, and other relevant technologies to handle large datasets efficiently.

- Model Deployment: Deploy models into production environments using platforms like Dataiku, ensuring seamless integration and performance monitoring.

- Advanced Analytics & Insights: Statistical Analysis: Apply advanced statistical methods to interpret complex data sets and derive meaningful insights.

- Data Visualization: Create compelling visualizations and dashboards using Power BI to effectively communicate findings to technical and non-technical stakeholders.

- Data Storytelling: Translate analytical results into clear, actionable narratives that support strategic descision making