Find The RightJob.
Sr. Data Scientist
Designation : - Sr. Data Scientist
Experience : 4+ Yrs
Location Hyderabad (Hybrid)
Key Responsibilities
- Design, develop, and deploy AI/ML models for financial forecasting and business analytics.
- Build and optimize time series models (forecasting, trend analysis, anomaly detection) using large-scale datasets on Databricks.
- Develop custom AI tools to summarize business problems, define solution approaches, and present insights in a structured manner.
- Work on end-to-end AI solutions, from data ingestion and feature engineering to model deployment and monitoring.
- Design and work within multi-agent AI environments, enabling agents to collaborate for complex problem-solving.
- Collaborate with business, data, and engineering teams to translate requirements into scalable AI solutions.
- Ensure models meet performance, scalability, and governance standards.
- Document solutions, assumptions, and outcomes for both technical and non-technical stakeholders.
- Lead delivery of large-scale projects by breaking down work into well-defined tasks, allocating them efficiently across team members, and ensuring timely, high-quality execution (acting as a delivery “foreman” for the team).
- Oversee, mentor, and coach junior team members, providing technical guidance, reviewing deliverables, and ensuring skill development while maintaining overall team productivity and standards.
Required Skills & Experience
- Strong expertise in AI/ML concepts, including supervised and unsupervised learning.
- Hands-on experience in financial forecasting and time series analysis.
- Proven experience with Databricks, MLflow, and data processing.
- Experience building custom AI tools or frameworks tailored to specific business problems.
- Ability to summarize complex problems and solutions clearly and concisely.
- Exposure to or hands-on experience in multi-agent AI architectures.
- Proficiency in Python, ML libraries (scikit-learn, statsmodels, PyTorch/TensorFlow).
- Strong communication and stakeholder management skills.
Good to Have
- Experience with LLMs, prompt engineering, or agent-based frameworks.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
- Experience in MLOps, model monitoring, and governance.
© 2026 Qureos. All rights reserved.