Senior/Data Scientist

About the Role

Dell Technologies is a leader in providing technology infrastructure to its customers in an era increasingly being driven by digital and data. Enabling Dell to satisfy its customers’ needs hinges on executing a world class supply chain, connecting together sales orders with a complex ecosystem of partners and suppliers. Data plays an integral role in this as we digitize and modernize our supply chain. Join our Data Analytics & Automation team within Supply chain as a Senior/Data Scientist to solve our most challenging business problems with statistical, predictive and prescriptive approaches, making our decision making faster and more sophisticated.

Responsibilities

• Advance our supply chain modernization efforts by working closely with other Data, Analytics and Automation professionals and supply chain domain experts to understand complex business problems and co-create digital solutions driven by data science models.
• See your algorithms and solutions get scaled and deployed, while learning from your mistakes.
• Join and contribute to a community of data scientists by sharing industry best practices and lessons learnt from past and ongoing projects.
• Identify opportunities to innovate across the supply chain through team challenges, to collaborations with external industry disruptors.
• Craft and execute a personalized development plan with your manager to ensure you will continuously grow in your career aspirations, whether it be technical leadership or people leadership.

We Seek Data Scientists With a Passion To…

• Deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem.
• Ask and answer questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you.
• Collaborate in cross functional teams to co-create solutions to business problems, bringing a combination of data science expertise with business acumen to drive pragmatic, business driven value.
• Keep abreast of latest developments in the field and identify opportunities to apply within our organization.
• Train/guide data science enthusiasts across the organization.

Essential Requirements

• Bachelor's / Master’s / PhD degree in a relevant field such as Engineering, Statistics, Computer Science, Data analytics or Data Sciences with 5 – 8+ years of experience.
• Relevant work experience applying data science/machine learning/statistical techniques to quantitative problems in a business environment, demonstrating ability to experiment, develop and deploy solutions into production environments.
• Expertise in building supervised/unsupervised solutions leveraging but not limited to regression, classification, clustering, time series forecasting & NLP techniques.
• Ability to optimize code for performance, scalability and readability.
• Strong communication skills with the ability to flex style to suit the audience, ranging from technical to non-technical.

Highly Desirable Skills

• Experience working in distributed computing environments like Spark (PySpark and/or SparkR).
• Hands on experience with docker and other relevant CICD tools desirable but not required.

Our Team’s Way of Working

• We are uncovering ways to impact every key decision in Dell’s supply chain with a data science solution.
• We use our curiosity to find latent opportunities by experimenting together.
• We work in an agile methodology and have the autonomy to suggest and work on optimal approaches.
• We target decisions that achieve our company objectives. Our solutions address important prevailing business problems and we continuously keep this in mind while progressing through our projects.
• We excel when we collaborate. Data scientists are encouraged to seek feedback from others and have open discussions while progressing through the data science lifecycle.