Dell Senior Data Scientist in Massachusetts
Senior Data Scientist
Remote Role in Massachusetts USA
Dell provides the technology that transforms the way we all work and live. But we are more than a technology company — we are a people company. We inspire, challenge and respect every one of our over 100,000 employees. We also provide them with unparalleled growth and development opportunities. We can’t wait for you to discover this for yourself as a Senior Data Scientist on our global Decision Sciences team.
The desired candidate will work to enable Dell's Global Business Operations organization with data-driven insights that support our quota planning, integrated operating plan, compensation, and business transformation efforts. The ideal candidate will work with a variety of stakeholders including business owners, ML engineers, data scientists, software engineers, and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies, and end with governance of machine learning model performance.
Design, test & develop robust optimization algorithms for large-scale business problems
Apply advanced predictive analytic techniques to create value-add analyses and models that progress our business cases. This requires knowledge of a broad range of supervised and unsupervised learning techniques.
Assess the effectiveness and accuracy of new data inputs; drive exploratory research within the team
Deliver results and presentations in a timely manner
Manage projects with a long-term focus
Self-learner who is driven to learn new methods and techniques to fulfill business needs
Strong control of optimization techniques and concepts
Strong analytical problem-solving capabilities with demonstrated success in consultation, statistics, and computer science
Expertise in data mining practices
Experience with machine learning and AI techniques
Experience in applying creative, out-of-the-box solutions to complex problems
Creative thinker who is success-driven both individually and as a team leader/mentor
Excellent communication skills, both written and verbal – ability to explain complex topics in easy-to-understand ways
Detail-oriented with the ability to effectively prioritize tasks
Experience working in an Agile environment
3+ year(s) of experience (preferred) in data science with the proven ability to apply analytics to business problems, preferably in Sales or Compensation
Advanced database query skills a must (PostgreSQL)
Expertise in R and/or Python required
Tableau or PowerBI experience a plus
Experience with data modeling practices in the area of quota setting preferred (not required)
Masters or PhD in Data Science, Statistics, Computer Science or related field
We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment. If you share our passion for data and you’re keen to play a key role in driving progress, this is your opportunity to develop with Dell. 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. Learn more about Diversity and Inclusion at Dell here (http://www.dell.com/learn/us/en/uscorp1/corp-comm/cr-equal-employment-opportunity?c=us&l=en&s=corp&cs=uscorp1) .