What you’ll do:

As an experienced Data Scientist in Insight Generation group, you will be at the front end, systematically analyzing and transforming vast amounts of tabular and unstructured data into actionable insights that are impactful in several ways to enable the organization to achieve their goals. We expect you to go above and beyond your role in working with like-minded, entrepreneurial colleagues to strengthen our data driven decision-making culture, improve the customer experience leading to revenue growth, cost reduction, and improved efficiency. You will be responsible to:

Work closely with business stakeholders to learn about data issues and insight gaps and take action to fill the gap
Work with the ‘Insight Generation ’ group within business unit and develop strategy for reporting, storytelling, and insight generation
Proactively looking at opportunities to blend data from across different enterprise systems to generate actionable insights that drive business value
Leverage innovative technologies and rigorous methods to extract, analyze, evaluate and interpret complex, multi-dimensional and constantly changing data
Question the status-quo and old processes, challenge assumptions, and advocate for AI and data-driven decision making across the chief procurement office
Influence business unit strategy and priorities while collaborating with other business unit team members to enable, design, develop, and deploy both data and visualization solutions
Mentor and coach other peers at business unit and upskill stakeholders to adopt and utilize reports, dashboards, and insights to inform day-to-day decision making
Provide technical coaching and mentoring to team members to ensure appropriate accessing, managing and interpretation of data.

Qualifications

Who you are:

Hold PhD or master with major in data science, computer science, or applied mathematics (or related quantitative disciplines)
Minimum 5 years of experience with Tableau
Minimum 7 years of experience with SQL
Minimum 5 years of experience with Python for data science
Minimum 5 years of experience using data extraction and processing technologies to build advanced predictive models.
Prior experience with Agile and Jira
Excellent communication and presentation skills
Ability to communicate data insight to business to various seniority levels of stakeholders
Team player

Great-to-have:

Knowledge and experience with Google Cloud Platform (GCP), including Google BigQuery and AI Notebook
Knowledge and experience with SAP S4 HANA, SAP ECC is a big asset
Familiar with software development methodologies and best practices
Experience in Natural Language Processing in Python
Experience in ML model production deployment and monitoring

Telecom Data Scientist