Senior Data Scientist
USEReady Technology Private Limited Bengaluru, Karnataka, India
Data Infrastructure and Analytics · 501-1,000 employees
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About the role
The Senior Data Scientist will lead advanced analytics initiatives by designing and implementing AI/ML, GenAI, and Agentic AI solutions. They will also collaborate with cross-functional teams, mentor junior staff, and drive innovation in MLOps practices.
What they look for
Requirements
Candidates must hold a Bachelor's, Master's, or Ph.D. in a relevant field with at least 6 years of experience in data science and AI/ML model development. Proficiency in Python, SQL, cloud platforms, and advanced machine learning frameworks is required.
Full description
USEReady is a global analytics and data management solutions company that helps enterprises harness the power of data to drive smarter decisions. With a strong presence across North America, USEReady partners with Fortune 500 companies to deliver end-to-end analytics, BI, data engineering, and AI/ML solutions. Our Bangalore office serves as a key hub for our finance, technology, and delivery operations.
Role Summary
The Senior Data Scientist will lead advanced analytics initiatives, leveraging AI/ML, Generative AI (GenAI), and Agentic AI to deliver decision intelligence solutions. This role involves designing solutions, collaborating with cross-functional teams, and mentoring junior data scientists.
Key Responsibilities
- Design and implement advanced machine learning , Gen-AI, and Agentic AI based solutions.
- Apply GenAI and Agentic AI techniques to enhance decision-making workflows.
- Collaborate with sales and presales teams to craft proactive solution pitches for clients.
- Drive innovation in MLOps practices for scalable model deployment and monitoring.
- Conduct research on emerging AI technologies and integrate them into solutions.
- Mentor junior team members and foster a culture of continuous learning.
- Ensure compliance with AI governance and ethical standards.
Required Qualifications
- Bachelor’s or Master’s or Ph.D. in Data Science, Machine Learning, or related field.
- 6+ years of experience in data science and AI/ML model development.
- Expertise in NLP, deep learning, and advanced ML frameworks (TensorFlow, PyTorch).
- Hands-on experience with Generative AI and Agentic AI.
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Proficiency in Python and SQL; familiarity with MLOps tools (MLflow, Kubeflow) and LLMOps tools (LangSmith, LangFuse).
- Knowledge of Snowflake would be beneficial.
Core Competencies
- Strategic thinking and problem-solving.
- Excellent communication and stakeholder engagement skills.
- Ability to lead complex projects and deliver business impact.
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