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SalaryRequired Qualifications
- 2+ years of relevant work experience in data analysis or related field. (e.g., as a statistician / Data Scientist / scientific researcher)
- Fundamental knowledge in fields such as statistics, machine learning, deep learning.
- 2+ years of practical experience developing, deploying production machine learning applications such as supervised learning, unsupervised learning.
- 2+ years of programing skills in Python.
- Interest in researching cutting-edge methods in AI, particularly reinforcement learning and federated machine learning.
Job Specific Qualifications
- Analysis
- Expertise in Deep Reinforcement Learning
- Experience with Neural Networks, including CNNs
- Experience applying scientific methodologies to parameter and model tuning
- Experience working with data driven Python with modules such as TensorFlow, Keras, NumPy, SciPi, Pandas, Matplotlib, PyTorch, Scikit-Learn
- Familiarity with CUDA framework and GPU training / inference
- Experience with version control tools, such as Git
- Problem Solving
- Solves complex problems with hypothesis-driven data science
- Understanding of data ingestion and transformation
- 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.)
- Team & Business Skills
- Work incollaboration with data science team and mentors junior scientists
- Demonstrated ability to collaborate with a diverse team
- 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
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- 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 & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
Diversity, Equity, and Inclusion is more than a commitment at WWT - it is the foundation of what we do. Through diverse networks and pipelines, we have a clear vision: to create a Great Place to Work for All. We believe inclusion includes U. Be who U are at WWT!
Equal Opportunity Employer Minorities/Women/Veterans/Individuals with Disabilities
Requirements:Looking at a Start Date in June 2025
Data Scientist
Why WWT?
At World Wide Technology, we work together to make a new world happen.Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients.
WWT was founded in 1990 in St. Louis, Missouri. We employmore than10,000 peoplegloballyand closed nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proudto have been included onthe FORTUNE "100 Best Places to Work For®" list 12 years in a row!
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What is the Solutions Consulting & Engineering (SC&E) Team and why join?
Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end (E2E) and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.
Role Overview
As a Data Scientist, you will collaborate with a multi-disciplinary team of solution architects, engineers, and Data Scientists on a wide range of business problems. You will not only work on large scale projects to provide value to our customers but will also routinely contribute to building our internal R&D capability to keep our edge in today's data science. We work on providing analytic solutions to a wide range of clients coming from the domains of mining, healthcare, financial services, retail industry, etc.
We are looking for candidates who not just apply algorithms and packages but also understand the working behind them and can develop their own algorithms/IP. Candidates who are passionate about real world business problems tend to also be good Data Scientists and think creatively.
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
