Data Scientist

1 day ago

Greater Bengaluru Area, India UsefulBI Corporation Full time ₹ 20,00,000 - ₹ 25,00,000 per year

**Locations- Pune, Bangalore and Lucknow

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:


• 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.

Required Skills and Qualifications:


•
7+ years
of experience as a
Data Scientist or GenAI 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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