
Advanced Data Analyst Role
1 day ago
This is an exciting opportunity for a skilled Senior Data Scientist to join our team in India. The ideal candidate will have experience working with Generative AI and be able to design and deploy ML/DL models for predictive analytics, customer insights, and process optimization.
Responsibilities include:
- Collecting, cleaning, and analyzing structured and unstructured data
- Designing and deploying ML/DL models for predictive analytics, customer insights, and process optimization
- Performing statistical analysis and building data-driven solutions aligned with business needs
- Developing dashboards and visual reports for stakeholders
Our ideal candidate will possess the following skills and qualifications:
- Core Data Science skills, including advanced statistics, probability, hypothesis testing, and predictive modeling
- Expertise in Machine Learning & Deep Learning (Regression, Classification, Clustering, Recommendation Systems, NLP)
- Strong data preparation and feature engineering skills
- Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow)
- Generative AI: Recent hands-on experience with LLMs, Prompt Engineering, Fine-tuning, and Retrieval-Augmented Generation (RAG)
- Frameworks & Tools: Familiarity with LangChain, LangGraph, Hugging Face Transformers
- Databases: Experience with Vector Databases (Pinecone, FAISS, Weaviate)
- Cloud Platforms: Azure (preferred), AWS or GCP exposure a plus
- MLOps: Knowledge of model lifecycle management, CI/CD for ML, containerization (Docker/Kubernetes), and API deployment
- Data Visualization: Experience with Matplotlib, Seaborn, Power BI, or Tableau
As a Senior Data Scientist at our company, you will enjoy a range of benefits, including:
- A competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
We are committed to staying current with emerging trends in Data Science and Generative AI. Our team encourages innovation and knowledge sharing, and we strive to ensure responsible and ethical AI practices across all deployments.
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