Job Description :

We are seeking an experienced Data Scientist II to drive business impact through rigorous data analysis, statistical modeling, and machine learning. The role will collaborate with a diverse team of highly talented data professionals, engineers, and domain experts to transform complex datasets into actionable insights and high-performing predictive models. You will focus on exploring granular data, formulating statistical hypotheses, training robust machine learning models, and delivering business-critical insights.

Candidate should drive business outcomes by developing statistical and machine learning models, performing advanced data analysis, and delivering actionable insights through cross-functional collaboration and data-driven decision-making.

As a Data Scientist, you will build and validate models, execute deep-dive data analyses, communicate findings to key internal stakeholders, and own sub-streams of projects requiring effective cross-functional collaboration.

Key Responsibilities :

- Architect and deploy end-to-end machine learning pipelines on Google Cloud Platform to automate data processing and model training for enterprise clients.

- Develop and implement advanced Deep Learning models to solve complex pattern recognition and predictive analytics problems, improving the accuracy of our core service offerings.

- Create intuitive data visualizations and interactive dashboards using Tableau to communicate complex analytical findings to non-technical stakeholders and leadership teams.

- Collaborate with software engineers to integrate predictive models into production environments, ensuring high availability and scalability of data-driven features.

- Conduct rigorous exploratory data analysis to identify trends, anomalies, and growth opportunities that inform the long-term product roadmap.

Primary Skills :

- Python, SQL, Power BI, Agentic AI, Airflow, deep learning, Tableau and GCP

Good to have experience in :

- AWS, Azure.