Advisor, Data Science
Dell
All India • 1 month ago
Experience: 5 to 9 Yrs
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Job Description
As a Data Science Advisor at Dell Technologies, your role involves contributing to business strategy and influencing decision-making based on insights gained from deep dive analysis. You will be responsible for producing actionable recommendations by interpreting insights from complex data sets, designing processes to consolidate and examine unstructured data, and partnering with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines.
Key Responsibilities:
- 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 environment, working with minimal supervision while delivering action items in a timely fashion
Qualifications Required:
- 5 to 8 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI
- Working experience in data visualization tools such as Power BI, matplotlib, plotly
- Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB
- Proven experience in MLOps and LLMOps with expertise in ML lifecycle management and large language models
- Proficiency in Python programming with expertise in libraries such as numpy, pandas, scipy, spacy, gensim, TensorFlow, and/or Pytorch
- Experience with CI/CD tools, containerization (Docker, Kubernetes), and version control systems (Git)
- Expertise in correlation analysis, feature selection techniques, advanced regression models, ensemble methods, feature selection, dimensionality reduction techniques, model explainability, and interpretability techniques
Additional Details:
Dell Technologies is committed to the principle of equal employment opportunity for all employees and providing a work environment free of discrimination and harassment. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live, and play. If you're looking for an opportunity to grow your career with advanced technology and the best minds in the industry, Dell Technologies is looking for you.
Application closing date: 25th March 2026. As a Data Science Advisor at Dell Technologies, your role involves contributing to business strategy and influencing decision-making based on insights gained from deep dive analysis. You will be responsible for producing actionable recommendations by interpreting insights from complex data sets, designing processes to consolidate and examine unstructured data, and partnering with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines.
Key Responsibilities:
- 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 environment, working with minimal supervision while delivering action items in a timely fashion
Qualifications Required:
- 5 to 8 years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI
- Working experience in data visualization tools such as Power BI, matplotlib, plotly
- Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB
- Proven experience in MLOps and LLMOps with expertise in ML lifecycle management and large language models
- Proficiency in Python programming with expertise in libraries such as numpy, pandas, scipy, spacy, gensim, TensorFlow, and/or Pytorch
- Experience with CI/CD tools, containerization (Docker, Kubernetes), and version control systems (Git)
- Expertise in correlation analysis, feature selection techniques, advanced regression models, ensemble methods, feature selection, dimensionality reduction techniques, model explainability, and interpretability techniques
Additional Details:
Dell Technologies is committed to the principle of equal employment opportunity for all employees and providing a work environment free of discrimination and harassment. Dell Technologies is a unique family of businesses that helps individuals and organizations tra
Skills Required
NLP
Machine Learning
Computer Vision
data visualization
SQL
numpy
scipy
containerization
Docker
Kubernetes
Git
correlation analysis
feature selection
LIME
Kafka
RabbitMQ
ZeroMQ
AWS
Azure
GCP
web technologies
HTTP
REST
Flask
Django
Java
JavaScript
monitoring
performance tuning
ARIMA
exponential smoothing
GenAI
CNN
LSTM
YOLO
Postgres SQL
PGVector
ChromaDB
MLOps
LLMOps
ML lifecycle management
large language models
prompt engineering
finetuning
Python programming
pandas
spacy
gensim
TensorFlow
Pytorch
MultiModal RAG
Agentic RAG
Langchain
Hugging Face Transformers
vector embeddings
CICD tools
feature selection techniques
advanced regression models
ensemble methods
Random Forest
Gradient Boosting
dimensionality reduction techniques
model explainability
interpretability techniques
SHAP
streamingmessaging frameworks
cloud platforms
GraphQL
observability
Prometheu
Posted on: March 16, 2026
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