Data Scientist

1 week ago

Denver, United States World Wide Technology Full time
Available for start date between May-August 2025

Why WWT?

Founded in 1990, World Wide Technology (WWT), a global technology solutions providerleading theAI and Digital Revolution,with $20 billion in annual revenue, combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With nearly 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and leadership focus on diversity and inclusion. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners and communities.

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 knowledge to develop innovative solutions for our clients' most complex challenges.

Responsibilities:

The Data Scientist 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.

  • Supports work with large, complex data sets
  • Solves difficult, non-routine analysis problems, applying advanced analytical methods as needed
  • Conducts end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
  • Works on advanced analytics areas like deep learning and complex statistical data analysis
  • Interacts with clients in person meetings towards making business recommendations with effective presentations of findings, visual displays of quantitative information
  • Supports the development analysis, forecasting and optimization methods/models to provide the business solution to the clients
  • Researches and develops internal capabilities to enhance the skill sets on latest data science developments, work towards producing innovative solutions to the existing challenges


Qualifications:
  • 1-3 years of progressive experience in a related field.
  • Bachelor's or master's degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering).
  • 1-3 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer), including internships
  • Experience with statistical software (e.g., R, Python) and database languages (e.g., 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. In other words, we just need a Beginner's Mind, even if you have decades of professional experience
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem.
  • Demonstrated effective written and verbal communication skills.
  • Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.
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: 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 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 WWTit 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

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