Staff Machine Learning Scientist, CyberVadis
Third-party cyber security risk assessments
Job no longer available
Third-party cyber security risk assessments
101-200 employees
Job no longer available
101-200 employees
Company mission
To empower organisations with a smarter, faster, and more reliable way to secure their ecosystem and mitigate third-party cyber threats.
Role
Who you are
- We are looking for a highly motivated Staff Machine Learning Scientist to join our growing AI Center of Excellence team, responsible for using machine learning to drive innovation across the organization and accelerate positive impact on our planet and society
- 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 data mining techniques
- 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 ML 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
- Experience of cross-functional collaboration in the development of ML products and services (e.g., Engineers, Product Managers) is a plus
- 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
- 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
- Our Technology and Platform Services department designs and secures the platform that underpins all of our offerings, achieving scalability and continuous improvement through innovation and collaboration
- 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 supervising data annotation efforts
- Leveraging Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions
- Innovating by adapting new machine learning algorithms
- 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
- 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 ML and apply this knowledge to the key challenges ahead of EcoVadis
Application process
- Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application
Our take
CyberVadis specialises in aiding enterprises in evaluating cybersecurity risks stemming from their third-party vendors by leveraging a methodology aligned with international compliance standards. The company has evaluated the cybersecurity and data privacy of thousands of third-party entities across 96 countries.
CyberVadis then provides companies with a standardised cybersecurity rating, thus facilitating easy sharing and comparison, coupled with a roadmap for bolstering their score and fostering collaborative efforts with clients to implement heightened security practices. Operating under a fixed annual fee structure, CyberVadis conducts a series of evidence-based assessments through its platform.
An injection of capital in 2023 shows the importance of reliable, evidence-based assessments to scale third-party cyber risk management efforts too. This funding has allowed CyberVadis to expand its team and serve new clients beyond its traditional markets. And it's also fueled innovation, allowing the company to enhance its platform further and amplify its value proposition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (1 round)
May 2023
$8.1m
SERIES A
Total funding: $8.1m
Company HQ
Chaillot, Paris, France
Leadership
Edouard Lacarriere
(CEO)Former Consultant and Bain & Company. Also worked at FIS in multiple roles before joining CyberVadis in 2022 as the CEO.
Salary benchmarks
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