**Lead Data Scientist - Recommender Systems**
The Global Customer Growth Marketing teams 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 Marketings 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.
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 customers needs via optimal campaigns and strategies.
Join us as a **Lead Data Scientist - Recommender Systems** on our **Global Customer Growth Marketing** team in **Round Rock, Texas or Remote - USA** to do the best work of your career and make a profound social impact.
**What youll achieve:**
You will work with engineers and data scientists to solve some of the hardest business problems, one of them being - building a recommendation engine. Our vision is that the recommendation engine will power all GTM (go to market) channels like web (DellTechnologies.com/Dell.com), inbound (email, ads, display etc) and outbound channels (our sales force etc).
Your analysis will have a direct impact on our outbound sales motion, the campaigns we run and the strategies we employ to serve our customers and drive business outcomes. This role has worldwide focus and you will work as part of a global team you will need to work within a variety of cultures and time-zones to scale your solutions globally.
You will build strong relationships with our key stakeholders and partners to understand the business needs and pain points. You will use this information to design and drive our recommender systems roadmap, tell stories, deliver insights and accelerate our digital transformation.
**You will:**
+ Building innovative models and solutions - leading discussions to frame problem statements, develop hypotheses, recommend modeling approaches, measure success and establish scalable, efficient, automated processes for large scale neural network based models operating efficiently in production.
+ Lead communication with product teams and stakeholders to explain the abstract in simple terms, work closely with our DevOps function to ensure pushing of models to production is successful
+ Inspire team members - as one of the senior data scientists on the team, lead the effort to reduce complexity, mentor junior team members, forge creative breakthroughs and operate as ONE Team
+ Feature engineering - assist our engineers to develop datasets in a scalable manner for use in algorithms
+ Gain a deep expertise on data sources, required transformations, quality, consistency and velocity. Document mapping of all required data resources for modeling
Every Dell Technologies team member brings something unique to the table. Heres 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
+ Rock star PostgreSQL & Python
+ 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),
+ Demonstrated critical thinking, facts & alternative based decisioning and growth mindset
+ Excellent communication & collaboration skills; Proven virtual & physical leadership and project-management track-record
**Desirable Requirements**
+ Authoring any papers in the area of recommender systems approach
+ Machine learning operations experience, MLFlow, Airflow, Docker, Kubernetes, TFX,
+ 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
Consultant, Data Science (I9)
**Heres 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. Were proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.
Whats 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 didnt 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 whats 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 (https://jobs.dell.com/diversity-and-inclusion) .
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 Employment Opportunity Policy here (https://jobs.dell.com/equal-employment-opportunity-policy) .
