31 Jul
|
Techracers
|
India
:
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
Positive to have experience in :
- AWS, Azure.
📌 Data Scientist - Python (India)
🏢 Techracers
📍 India