Staff Machine Learning Scientist, EcoVadis
Natural Language Processing
+ variable compensation plan
Business sustainability ratings provider
Open for applications
Business sustainability ratings provider
1001+ employees
Open for applications
+ variable compensation plan
1001+ employees
Company mission
To provide the world’s most-trusted sustainability ratings, enabling all businesses to reduce risk, drive performance, and improve environmental and social outcomes.
Role
Who you are
- PhD or Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science, Physics)
- 8+ years of overall experience in machine learning and NLP
- Expert knowledge of machine learning from forecasting to architectures used in NLP, such as transformers and RNN models, and NLP tasks (e.g., named entity recognition(NER), entity linking, question answering, semantic search)
- Advanced knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch)
- Experience in leading end-to-end NLP projects, from design to implementation to integration, and applying best software development practices
- Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives they lead
- Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection
- Experience of cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers) is a plus
- Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals
- Authentic - Being honest and authentic in communication, feedback and strategy
- Results-driven - Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals
- Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources
- Collaborator & Partner - Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating success
What the job involves
- We are looking for a highly motivated Staff Machine Learning Scientist (NLP) to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society
- You will be part of the team of 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence
- Working with large, complex data sets to solve challenging business problems by applying advanced analytical methods as needed
- Articulating and translating business questions into technical solutions
- Building, benchmarking, and maintaining machine learning models and identifying data annotation efforts
- Innovating by adapting new machine learning algorithms and recent advances in generative AI
- Promoting best practices in machine learning and mentoring junior team members
- Leading functional teams and projects to accelerate the adoption of technology and AI within the organization
- Leveraging Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions
- Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value
- Staying on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadis
Application process
- Start date: April 1st, 2024
Our take
With an increasing drive for businesses to be more transparent with their global carbon impact, companies need to find a way to collate their data. This data can then be used to inform business decisions and aid companies in their mission to decrease their carbon emissions. EcoVadis provides business sustainability ratings with the aim of creating a global marketplace where sustainability intelligence influences every business decision.
EcoVadis has devised a criteria based on international sustainable development standards. The criteria considers specific challenges, geographical location and company size to create its rating, ensuring its ratings reflect the company as fairly as possible. The main objective of the rating is to measure the quality of a company’s CSR management system through its policies, actions, and results.
This concept is increasingly pertinent given the emphasis placed on sustainability by consumers, and so EcoVadis are smartly targeting this key area. It currently operates with 90,000 companies of all sizes across more than 200 industries in 160 countries, highlighting the importance of the ratings it provides.
Freddie
Company Specialist
Insights
Company
Funding (last 2 of 4 rounds)
Jun 2022
$500m
SERIES C
Jan 2020
$200m
GROWTH EQUITY VC
Total funding: $734.5m
Company benefits
- Flexi-time
- Casual and friendly environment
- Virtual and in-person team building events
- Opportunity to work in an international atmosphere
- Learning and Development
- Wellness Programs
- Sustainability events & community involvement
- Budget to furnish your home office
- Peer recognition program
- Employee-led resource groups
- Referral bonus
- Choice of working at the office, remotely, or mixing both
Company values
- Make sustainability real
- Every customer matters
- Belong
- Integrity at our core
- Dare to...
- Be kind
Company HQ
Chaillot, Paris, IDF
Articles
Leadership
Pierre-François Thaler
(Co-CEO)Was CEO of B2Build SA, the first B2B marketplace for the European construction industry. Also has experience as a Director for the Ariba Procurement BPO business.
Frédéric Trinel
(Co-CEO)Holds a degree in International Business from ICAD Business School. Previously founded Mr. Ted Ltd as COO.
Salary benchmarks
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