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Data Science Senior Advisor
7 days ago
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.
Join us to do the best work of your career and make a profound social impact as aData Science Senior Advisor
on our
Data Science
Team in
Bangalore/Hyderabad
.
What you'll achieveAs a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis.
You will:
Collaborate with internal and external teams to understand customer requirements. Educate, demonstrate, guide, and enable the application of machine learning and AI in various services-based use cases
Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
Develop and drive testing of algorithms efficacy for differing analytical use-cases. Performs end-to-end steps involved in model development while establishing subject-matter expertise
Apply knowledge of machine learning, statistics, optimization, software engineering, and data engineering to produce codes for testing, operationalizing, and governing software-integrated machine learning models
Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases
Take the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table.
Here's what we are looking for with this role:
Essential Requirements8 to 12 years of related work experience with 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.)
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
Desirable RequirementsFamiliarity with streaming/messaging frameworks (e.g. Kafka, rabbitmq, zeromq), knowledge and work experience in Graph databases, web analytics and online customer journey data is preferred
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes), web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django) and skilled in programming language like Java, or Javascript
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