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1 Day ago
Interesting Job Opportunity: UsefulBI Corporation - Lead/Senior Data Scientist - Artificial Intelligence/Machine Learning
Information Technology
Full-Time
UsefulBI Corporation
Overview
Role Description
This is a full-time hybrid role for a Lead Data Scientist at UsefulBI Corporation, located in the Greater Bengaluru Area, with some work-from-home flexibility. The Lead Data Scientist/Architect will be responsible for overseeing all aspects of data science, including data analytics, visualization, and analysis. They will work on day-to-day tasks related to data engineering, AI/ML, and Business Intelligence to drive business transformation and exceed sustainable goals.
Key Responsibilities
This is a full-time hybrid role for a Lead Data Scientist at UsefulBI Corporation, located in the Greater Bengaluru Area, with some work-from-home flexibility. The Lead Data Scientist/Architect will be responsible for overseeing all aspects of data science, including data analytics, visualization, and analysis. They will work on day-to-day tasks related to data engineering, AI/ML, and Business Intelligence to drive business transformation and exceed sustainable goals.
Key Responsibilities
- Conduct complex data analyses to identify trends, patterns, and insights.
- Utilize statistical methods and machine learning techniques to forecast future trends.
- Advanced analytics, machine learning, AI
- Model development, training, and deployment (MLOps)
- Business insights using statistical and predictive modelling.
- Building scalable, reliable data pipelines
- Creating and managing data lakes, data warehouses
- ETL/ELT workflows
- Ensuring data quality, governance, and lineage.
- Dedicated leadership (Practice Head or CoE Lead).
- Defined service offerings and case studies.
- Reusable assets and accelerators and regular internal training and certifications.
- Client wins and repeatable success stories.
- 7+ years of experience as a Data Scientist or ML Engineer.
- Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
- Experience in end-to-end ML lifecycle including model development, validation, and deployment.
- Solid understanding of statistics, probability, and data modeling.
- Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).
- Hands-on experience with GenAI tools: OpenAI APIs, Lang Chain, RAG, LLM fine-tuning.
- Experience with SQL and at least one NoSQL database.
- Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
- Strong communication skills with the ability to explain complex models to non-technical audiences.
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