Job Details

ID #23744574
State Missouri
City St louis
Job type Permanent
Salary USD TBD TBD
Source World Wide Technology
Showed 2021-12-02
Date 2021-12-01
Deadline 2022-01-30
Category Software/QA/DBA/etc
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Data Scientist

Missouri, St louis, 63101 St louis USA

Vacancy expired!

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 WWT's internal IT Advanced Analytics group who are a team responsible for building out capabilities across business strategy, analytics, and Cloud.

WWT has implemented a vaccine requirement for all of its U.S. workforce. All new hires must be fully vaccinated by December 8, 2021. Appropriate religious and medical accommodations will be made.

Essential Functions • 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.

• Maintain and enhance a set of critical data models supporting our business use cases.

• Maintain 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 leadership, engineering, and other 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 deployment.

• Build and maintain models for internal customers and business teams, build knowledge and metrics for the product life cycle.

• Define and enhance the subject matter expertise while working with the various business domains.

• Provide thought leadership in algorithmic and process innovations, creativity in solving unconventional problems.

Education Education Level Education Details Req Pref And/Or Master's Degree Computer Science X

Or Master's Degree Data Analytics X

Or Master's Degree Information Technology X

Or Master's Degree Statistics X

Or Master's Degree Mathmatics X

Or Master's Degree Related Field X

A combination of education, training and experience may be considered in lieu of a degree.

Work Experience Experience Req Pref A minimum of 5 years' progressive experience in a related field X

Other Work Experience Experience working within a Cloud-based environment, specifically Software-as-a-Service (Saas) (preferred) Experience with Git and version control workflows.

Knowledge, Skills, and Abilities • Proven track record of building models and extracting data insights in sales, delivery, finance and service domains. • Experience solving problems 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. • 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.

Travel Requirements Estimated Amount of Time Type of Travel None

People Management Individual Contributor

Level of Autonomy Work is accomplished without considerable direction. Exercises judgment in selecting methods, techniques, and evaluation criteria in obtaining results. Exerts significant latitude in determining objectives of assignment. Takes calculated risks with consultation from the expert.

Vacancy expired!

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