World Wide Technology (WWT) is looking for a Data Scientist to join their Internal IT team to help solve a wide range of business problems by building out capabilities across business strategy, analytics, and Cloud. The role involves collaborating with solution architects and data engineers to manage and support the company's technology infrastructure, ensuring seamless operations and continuous innovation.
Requirements
- 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.
Responsibilities
- Execute on all phases of the Data Science project lifecycle with minimal supervision
- 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
- 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
- Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance
Other
- 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)
- 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.
