Data Scientist – Internal IT at World Wide Technology

Posted 6 months ago
Gurugram, Haryana
Application deadline closed.

Job Description

Data Scientist – Internal IT

World Wide Technology

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.

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.

Work Experience

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