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Advisor, Data Science
1 week ago
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.
Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team inIndia
.
What you'll achieveAs a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis.
You will:
- 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 insightsTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table.
Essential Requirements
- 5 to 8 years of related experiencewith advanced statistical skills and appropriate Mathematical knowledge
- Solid in SQL, skilled in Python or R ( and other job-related programming languages) to implement statistical and machine learning models (Recommenders, Prediction, Classification, Clustering, etc.) in big data and Cloud environments, including Azure or AWS
- Good understanding of business environment and industry trends
- Ability to work collaboratively with multiple stakeholders, understand business challenges and translate them into technical solutions
- Good communication and problem-solving skills and being customer focused
- Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g. Kafka, rabbitmq, zeromq)
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes)
- Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django) and skilled in programming language like Java, or Javascript
- Knowledge and work experience in Graph databases, web analytics and online customer journey data is preferred
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