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Data Science Advisor

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Dell

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Job Responsibility:

  • Contribute to business strategy and influence decision making based on information gained from deep dive analysis
  • Produce actionable and compelling recommendations by interpreting insights from complex data sets
  • Design processes to consolidate and examine unstructured data to generate actionable insights
  • Partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines
  • Partner with internal and external teams to understand customer requirements and develop proposals
  • Conduct interactions with external customers to gather project requirements, provide status updates and share analytical insights
  • Implement preliminary data exploration and data preparation steps for model development/validation
  • Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
  • Solution, build, deploy and setup monitoring for models and thrive in a dynamic and sometimes ambiguous environment, working with minimal supervision while delivering action items in a timely fashion

Requirements:

  • 5 to 8 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI
  • Working experience in data visualization (e.g., Power BI, matplotlib, plotly) with hands-on experience with CNN, LSTM, YOLO
  • Database skills including SQL, Postgres SQL, PGVector, and ChromaDB
  • Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management
  • Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks
  • Proficiency in Python programming, with expertise in libraries such as numpy, pandas, scipy, spacy, gensim, TensorFlow, and/or Pytorch
  • Knowledge of Multi-Modal RAG, Agentic RAG, Langchain, Hugging Face Transformers, and vector embeddings
  • Experience with CI/CD tools, containerization (Docker, Kubernetes), and version control systems (Git)
  • Expertise in correlation analysis and feature selection techniques to identify key drivers and relationships in data
  • Experience with advanced regression models, including linear and non-linear regression, as well as ensemble methods like Random Forest and Gradient Boosting for predictive modeling
  • Proficiency in feature selection and dimensionality reduction techniques
  • Experience with model explainability and interpretability techniques using tools like SHAP and LIME

Nice to have:

  • Strong product/technology/industry knowledge
  • Familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ)
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) or with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django)
  • Skilled in programming languages like Java or JavaScript
  • Expertise in monitoring, observability, and performance tuning using tools like Prometheus, Grafana
  • Strong knowledge of time series forecasting techniques and statistical methods, including ARIMA, SARIMA, and exponential smoothing
  • Knowledge of Langfuse for building LLM-powered applications
What we offer:
  • Comprehensive Healthcare Programs
  • Award Winning Financial Wellness Tools and Resources
  • Generous Leave of Absence for New Parents and Caregivers
  • Industry Leading Wellness Platform
  • Employee Assistance Program

Additional Information:

Job Posted:
March 20, 2026

Expiration:
March 25, 2026

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