ELEVATE is hiring a
Role
Entry Data Scientist
Location
Hong Kong/Shenzhen
Who are we?
ELEVATE is the industry leader in business-driven sustainability and supply chain services globally. We deliver holistic solutions for the full value chain. The Analytics team is at the core of ELEVATE being responsible for driving and delivering innovative products and practices in the industry.
We are a dynamic, agile and dedicated team with a track record of delivering cutting-edge analysis, products and ideas that can enable companies to understand risks in their supply chain and drive sustainable and responsible sourcing practices.
Who We Are Looking For:
We are looking for a fresh graduate or an early career data scientist that wants to join a dynamic, fast-pace and demanding team to deliver high-quality and innovative products.
The ideal candidate is passionate about applying data and analytics techniques to solve real world problems in supply chain sustainability. The ideal candidate has a creative approach to problems and tasks, detail-oriented, and goes the extra mile to deliver high-quality work. Most of all, the ideal candidate is a curious mind, gregarious and dedicated to improving the lives of workers in global supply chains.
Why should you apply?
As a team member, you will be exposed to the most pressing social and environmental issues in the supply chain from modern slavery to environmental safeguard. You will be working with the largest sourcing companies and corporations in the supply chain with operations all around the world. Finally, as part of the ELEVATE team, you will have the chance to support the work of the other ELEVATE departments (incl. assessment / operations, sustainability consultancy) to unlock the potential of the data collected, improving existing products and services. Finally, as an Analytics team member, you will be responsible for delivering thought leadership outputs (blogs, webinars, reports) that can elevate the debate around sustainability.
Position:
This is a Data Scientist position. Candidates with no experience but with the right credentials/references will be considered for Junior Data Scientist position. Ideally, the candidate will be based in Hong Kong or London, but we are open to remote working arrangements in our other global cities.
Responsibilities:
Qualification
Degree in Computer Science, Business and Economics, Statistics or Engineering preferred.
Strong skills in Python (preferred) or R.
Solid understanding and experience in using statistical models and machine learning algorithms such as Forecasting, Classification, Clustering, and Optimization algorithms.
Solid understanding of statistical concepts such as sampling, power calculation and causality.
Knowledge of GCP or AWS platforms
Data visualization tools such as Tableau and PowerBI are preferred. Critical thinker, proactive and positive attitude, team player and solutions driven.
Excellent written, verbal, and cross communication skills (English); attention to detail and keen ability to monitor, analyze, and manage data to meet client expectations and goals.
Interest in sustainability and working on impactful data-driven solutions.
Previous experience in supply chain / sustainability / social compliance preferred but not mandatory.
Ability to work in a time critical environment and to meet deadlines.
Equal Opportunity Employer
ELEVATE is committed to creating a diverse and inclusive workplace and is proud to be an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, veteran status, or any other status protected by local law. Personal data provided by applicants will be treated as confidential information and will be used exclusively for employment purposes only. Only short-listed candidates will be notified. Applicants who are not invited for an interview may consider their applications filed for future reference.
To learn more about career opportunities at ELEVATE, please visit our Careers Page here: https://www.elevatelimited.com/careers/