Advisor, Data Science

1 month ago


Bengaluru Karnataka, India Dell Full time

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 a Data Science Advisor on our Data Science Team in **India**.

**What you’ll achieve**
As 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 produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

**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

**Take the first step towards your dream career**
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
**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

**Desirable Requirements**
- 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

**Who we are**

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

**Application closing date:30th 06** 2024

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

**Job ID**:R246489
**Dell’s Flexible & Hybrid Work Culture**

At Dell Technologies, we believe our best work is done when flexibility is offered.

We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.


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