Dell Technologies

Senior Lead Data Scientist - Recommender Systems

3 weeks agoRemote

Lead Data Scientist - Recommender Systems

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 as a Senior Lead Data Scientist - Recommender Systems on our Global Customer Growth Marketingteam in Round Rock, Texas or Remote - United States to do the best work of your career and make a profound social impact.

What you'll achieve

The Global Customer Growth Marketing team's mission is to drive business growth by keeping our customers at the center. We believe customer behaviors towards the brands they touch are rapidly changing. Digital transformation is touching our lives. Our team uses data, fueled by Artificial Intelligence & Machine Learning (AI/ML), to listen, understand and act so we can give customers what they want- while growing Marketing's contribution to the business. We are a group of builders - we bring CRM, Data Science, Data Engineering, MLOps and Automation skills together to make the magic happen.

You will:

  • Working with our marketing professionals and marketing database experts, you will build solutions which enable data-driven marketing for our SB businesses across the globe.
  • Your solutions will enhance the quality of leads and product recommendations we deliver to sales and help our marketing teams meet our customer's needs via optimal campaigns and strategies.

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

  • Proven experience with recommender systems, including applied research and experience with context aware machine learning frameworks 5+ years
  • Proven experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras
  • Demonstrate advanced foundation in Linear Algebra, Calculus and Statistics
  • Experience in applying both sequence based and traditional methods to recommender problems - e.g. convolutional neural nets, recurrent neural nets, LSTMs, restricted Boltzmann machines, adversarial networks, collaborative filters, XGBoost, classical clustering techniques
  • Experience with data processing software (such as Greenplum, Hadoop, Spark, Pig, Hive)

Desirable Requirements

  • Machine learning operations experience, MLFlow, Airflow, Docker, Kubernetes, TFX and experience in Graph database is a Plus
  • Proven ability to work with varied data infrastructures - including relational databases, column stores, NoSQL databases, and file-based storage solutions.

Management Level: Individual Contributor

Senior Consultant, Data Science (I10)

Here's our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What's most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life -- while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn't stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what's next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Dell 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. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.

Job ID: R215638
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Job ID: Dell-qu6R5U1tBttS