World Wide Technology · 1 day ago
Data Scientist
New Home, MO
Full-time
Onsite
Mid, Senior Level
$91K/yr - $115K/yr
4+ years expWorld Wide Technology (WWT) is a global technology solutions provider leading the AI and Digital Revolution. As a Data Scientist, you will collaborate with a multi-disciplinary team to solve business problems, execute data science projects, and enhance the company's technological infrastructure.
HardwareNetwork HardwareSoftware
Responsibilities
Be equal member of a cohesive and selfless team
Take complete ownership of your work with the goal of exceeding customer expectations
Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance
Work closely with internal WWT business, engineering and technology teams
Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions
Maintains and enhance a set of critical data models supporting our business use cases
Maintains complex data pipeline supporting our team's mission in democratizing data and enabling a data driven organization, partnering with our data engineering teams
Effectively communicate actionable insights at all levels of the organization
Collaborate closely with stakeholders to improve our view of modeling and decision engines
Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyper-parameter tuning for machine learning, and development
Build and Maintain models for internal customers and business teams, build knowledge and metrics for the product life cycle
Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
Enhance the subject matter expertise while working with the various business domains
Qualification
Required
Masters or equivalent experience in a quantitative field like engineering, computer science, data analytics, Information Technology, Mathematics & statistics or related fields (A combination of education, training and experience may be considered in lieu of a degree)
4+ years of experience in data engineering, analytics and data sciences
Experience with building models and extracting data insights in sales, delivery, finance and service domains. Experience solving problems in any or all of the following spaces - forecasting, predictive modeling, NLP churn prediction
Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc
Familiarity with ML Ops tools/platforms
Familiarity with Docker and Kubernetes
Proficiency in one or more visualization tools like Tableau etc
Experience engineering information out of massive, complex and, in some cases, unstructured datasets
Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery
Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization
Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
Excellent problem-framing, problem solving and project management skills and ability to change direction quickly
Ability to balance and prioritize multiple projects
A minimum of 4 years' progressive experience in a related field
Experience working within a Cloud based environment, SaaS
Experience with git and version control workflows
Proficient in performance tuning and debugging
Travel: Up to 10% domestic and international travel
Preferred
SnowPro Core Certification
Azure Certified Data Scientist: Fundamental Level
AWS: Cloud Practitioner
Certified Analytics Professional (CAP)
Certification of Professional Achievement in Data Sciences
Certified Data Professional
Data Scientist Council of America: Data Scientist
Certified ScrumMaster (CSM)
Benefits
Health and Wellbeing: Heath, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program
Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement
Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
Company
World Wide Technology
World Wide Technology provides technology and supply chain solutions for large public and private organizations.
10001+ employees
H1B Sponsorship
World Wide Technology has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (52)
2024 (56)
2023 (25)
2022 (63)
2021 (50)
2020 (48)
Funding
Current Stage
Late StageTotal Funding
$25M2000-02-13Series Unknown· $25M
Leadership Team
Michael Taylor
Chief Technology Officer
Thomas Strunk
CFO at WWT
Recent News
2026-01-22
2026-01-16
Company data provided by crunchbase