Data Scientist

World Wide Technology Holding, LLC is seeking a Data Scientist to join a multidisciplinary team delivering end-to-end analytics and advanced analytics, including deep learning, to address customer business problems. In addition to supporting large-scale projects for clients, this role contributes to internal R&D capability development and helps translate analytical results into business recommendations. Location and Compensation Location: Denver, CO (onsite) Salary: USD 90,000 to 100,000 per year Start date: Available for a start date between May and August 2026 What You’ll Do Support work involving large, complex data sets Take on difficult, non-routine analysis problems using advanced analytical methods as needed Perform end-to-end analysis , including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations Work across advanced analytics areas such as deep learning and complex statistical data analysis Collaborate with clients in in-person meetings to support business recommendations using effective presentations and visual displays of quantitative information Support development of analysis, forecasting, and optimization methods/models to deliver business solutions for clients Research and develop internal capabilities to strengthen skills in latest data science developments and contribute to innovative solutions Collaborate with solution architects, engineers, and data scientists on a range of business problems Contribute not only to customer-facing projects, but also to building internal R&D capability to maintain a data science edge Requirements Experience: 1-3 years of progressive experience in a related field Education: Bachelor’s or master’s degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering) Relevant experience: 1-3 years of relevant work experience in data analysis or related roles (e.g., statistician, data scientist, data engineer), including internships Tools: Experience with statistical software such as R and Python , and database languages such as SQL Experience articulating business questions and using mathematical techniques to arrive at an answer using available data Experience translating analysis results into business recommendations Curiosity, humility, and openness to learn (a “Beginner’s Mind,” even with decades of professional experience) Demonstrated ability to select the right statistical tools for a given analysis problem Demonstrated effective written and verbal communication Demonstrated leadership and self-direction, with willingness to both teach others and learn new techniques Technologies R Python SQL Benefits Health: Medical & Prescription Dental Vision Care Onsite Health Centers (MO & IL) Employee Assistance Program Wellness program Competitive Pay Profit Sharing 401k Plan with Company Matching Life and Disability Insurance Flexible Spending Accounts Tuition Reimbursement PTO & Holidays Parental Leave Medical Leave Military Leave Bereavement Day of Caring Family Planning Benefits Nursing Mothers Benefits Voluntary Legal Voluntary Supplemental Accident/Illness/Hospital Voluntary ID Theft Pet Insurance Employee Discount Program Salary Estimate Notice: Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $90,000-$100,000 annually . #J-18808-Ljbffr