World Wide Technology · 3 hours ago
Lead Data Scientist
Maryland Heights, MO
Full-time
Onsite
Senior Level, Lead/Staff
$150K/yr - $175K/yr
6+ years expWorld Wide Technology (WWT) is a global technology solutions provider leading the AI and Digital Revolution. The Lead Data Scientist will collaborate with a multi-disciplinary team to solve complex business problems and enhance internal R&D capabilities in data science.
HardwareNetwork HardwareSoftware
Responsibilities
Work closely with customers and WWT business, engineering, and technology teams
Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
Work on advanced analytics areas like deep learning and complex statistical data analysis
Interaction with clients including in-person meetings, towards making business recommendations with effective presentations of findings, including visual displays of quantitative information
Develop analysis, forecasting and optimization methods/models to provide the business solution to the clients
Research and develop internal capabilities to enhance the skill sets on latest data science developments, work towards producing innovative solutions to the existing challenges
Perform quality control of deliverables
Provide thought leadership in algorithmic and process innovations, and contribute to creativity in solving unconventional problems
Be a mentor to junior members of the team
Qualification
Required
Preferably a Ph.D. but also open to master's or bachelor's degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering, or other STEM fields)
6-10 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer). Ph.D. Research and post-doctoral experience also counts
Experience with writing SQL queries, performing basic conversion and transformations (e.g., formatting date string), and obtaining statistical summaries by using windowing functions
Experience with LLM platforms and framework
Experience with usage of R/RStudio, Python, Jupyter Notebook
Experience with version control tool like Git
Strong experience with Excel and PowerPoint to present results
Ability to write scripts to automate ETL tasks
Ability to run standard model algorithms in R and Python, to perform: classification/regression, clustering, basic text analytics, image recognition, etc. E.g., run a classification problem using random forest, and obtain the variable importance, produce performance metrics/KPIs; run a k-means clustering problem, produce a KPI to quantify the goodness of clusters
Demonstrated skills in selecting the right statistical tools given a data analysis problem
Experience with charting tools & knowledge of the proper charting tool to use, whether Excel or Tableau. For instance, when to use box-and-whiskers plot, when to use waterfall. Ability to zoom-in to smaller data sets in Tableau or display subcategories
Capable of running multiple scenarios and pick up the optimal solution
Capable of understanding advanced mathematical or physical explanations, to implement or execute the requested tasks. E.g., Fourier Transform, Power Spectral Density, Monte Carlo simulation, etc
Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations
Consistently improves communication skills, both verbally and in written materials
Demonstrated creativity in problem solving
Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques
Flexibility in task switching. For instance, when there are urgent requests or change of projects, can accommodate the changes without protesting
Mindful of iterations and quality check in a smaller team, before presenting results to larger audience
Raises critical issues when detected
This position will have direct reports
Preferred
Experience in AI / Deep Learning for text/image/video analytics preferred
Experience in Cloud Computing and data streaming preferred
Benefits
Health and Wellbeing: Health, 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
2025-12-30
2025-12-18
2025-11-19
Company data provided by crunchbase