Advisor, Data Science
Dell Technologies · Posted Oct 6
Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions
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About the role
Dell Technologies' Data Science team works on massively parallel, data-intensive analytic processing to generate meaning and value from petabyte-scale data sets, collaborating with leading academics, industry experts and engineers to help customers derive sophisticated insights. The team develops new methodologies, tools, statistical methods and models spanning statistics, machine learning and business intelligence. This Data Science Advisor role in Bangalore involves deep-dive analysis, data exploration and preparation, and designing, building, deploying and monitoring predictive models and probability engines while partnering with business leaders, engineers and external customers.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 5 to 8 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI and working experience in data visualization (e.g., Power BI, matplotlib, plotly) with hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB.
- Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management and 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 and 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) along with 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.
Preferred qualifications
- Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ) along with 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 with strong knowledge of time series forecasting techniques and statistical methods, including ARIMA, SARIMA, and exponential smoothing along with knowledge of Langfuse for building LLM-powered applications.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Dell Technologies
Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.
- Industry
- Hardware
- Company size
- 10001+ employees
- Founded
- 1984
- Location
- Round Rock, Texas, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Vice Chairman and Chief Operating Officer
David Kennedy
Chief Financial Officer
John Roese
Global Chief Technology Officer & Chief AI Officer
Jennifer Saavedra
Chief Human Resources Officer
Recent coverage
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