Lead Data Scientist - Data Sciences

Company Overview

GEP is a diverse, creative team of people passionate about procurement. We invest ourselves entirely in our client’s success, creating strong collaborative relationships that deliver extraordinary value year after year. Our clients include market global leaders with far-flung international operations, Fortune 500 and Global 2000 enterprises, leading government and public institutions.

We deliver practical, effective services and software that enable procurement leaders to maximise their impact on business operations, strategy and financial performance. That’s just some of the things that we do in our quest to build a beautiful company, enjoy the journey and make a difference. GEP is a place where individuality is prized, and talent respected. We’re focused on what is real and effective. GEP is where good ideas and great people are recognized, results matter, and ability and hard work drive achievements. We’re a learning organization, actively looking for people to help shape, grow and continually improve us.

Are you one of us?

GEP is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, disability status, or any other characteristics protected by law. We are committed to hiring and valuing a global diverse work team.

For more information please visit us on GEP.com or check us out on LinkedIn.com.

What you will do

Primary responsibilities gathering requirements, sourcing data, managing working relationships, and communicating results

Lead and contribute code to one or two Machine learning projects from conceptualization to productization.

Work hands on with Data Architects/Engineers to leverage existing data models and build new ones as needed.

Drive agile development methods within the AI team

Collaborate with product development teams productize machine learning models and solutions on our platform

Develop new and apply/extend existing, concepts, methodologies, techniques for cross functional initiatives

Research and develop novel machine learning and statistical techniques to solve complex business problems.

What you should bring

MS/PhD degree in Computer Science, Computer Engineering, Applied Mathematics, Operations research or related technical discipline with 8+ years of industry experience in Data Science.

Proven leadership and people management experience; 2+ years developing the careers of 4 or more direct reports.

Strong interpersonal and communication skill ls and ability to communicate with cross-functional stakeholders

Lead AI solutions that bring critical insights to a variety of different AI-ML problems such as Recommendation engine, AI product design, Search optimization, Demand forecasting, Computer vision, Text analyses, Anomaly detection etc.

Demonstrable experience in exploratory data analysis (Jupyter, RStudio), distributed data frameworks (Hadoop, Spark, Hive, etc.), code review and version control tools, batch and streaming data pipeline orchestration (Airflow, ML flow, Kafka), containerization (Docker, Kubernetes etc.) and deployment (Jenkins) is required.

Experience of working on Microsoft Azure and Databricks is a plus although not mandatory.

Proven experience writing production-grade software

Extensive experience in model development and life-cycle management in one or more industries