QUALIFICATIONS:
- 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 probelms 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.
REQUIREMENTS:
- A minimum of 4 years' progressive experience in a related field
- Having the following certifications is preferred:
- SnowPro Core Certification
- Azure Certified Data Scieentist: Funamental 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)
- 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
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 $91,000.00 to $115,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
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 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
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!
#LI-EG1
#LI-ONSITE
Requirements:
DATA SCIENTIST
Why WWT?
Founded in 1990, World Wide Technology (WWT), a global technology solutions provider leading the AI 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 over 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 creating a great place to work for all.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What is the Internal WWT IT Team and why join?
The Internal WWT IT team is the backbone of our company's technological infrastructure, ensuring seamless operations and continuous innovation. Our team is dedicated to managing and supporting the company's technology infrastructure, ensuring the smooth operation of hardware, software, networks, and data systems, while providing top-notch technical support to employees.
By joining the Internal WWT IT team, you will play a crucial role in maintaining the efficiency and security of our IT environment, enabling the company to achieve its strategic goals. The Internal IT team offers the opportunity to work in a dynamic and collaborative environment, where your contributions will have a direct impact on the company's success. If you are passionate about technology and eager to take on new challenges, we encourage you to apply and join our team.
What will you be doing?
As a Data Scientist, you will collaborate with a multi-disciplinary team of solution architects and data engineers on a wide range of business problems. You will be an integral part of IT Advanced Analytics group who are a team responsible for building out capabilities across business strategy, analytics, and Cloud.
Data Scientist must be able to:
Execute on all phases of the Data Science project lifecycle with minimal supervision
Interact with business stakeholders to gather requirements and convey project outcomes
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.
