Staff Machine Learning Scientist

Company Description
- Work smart, have fun and make an impact_

**Our purpose is to guide all companies toward a sustainable world.**

EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology.

We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Feel valued for your contribution.Learn more about our team and culture on EcoVadis careers page. If you have questions about the company or open roles you can chat with an insider.

**Job Description**:
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.

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.

Your global responsibilities will include (but will not be limited to):

- 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

**Qualifications**:
**Education and experience**
- 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)
- 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

**Skills, abilities and work standards**
- ** 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 Solve**r - 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.

Additional Information
- Contract type: Permanent
- Location: Barcelona, Spain (or remote from anywhere in Spain).** Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real.**

We offer competitive salaries and support personal growth from day one.

This includes extensive onboarding, teammates' support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old ones In return for your expertise and energy, we offer:
**Working organization benefits**:

- Casual and very friendly work environment Hybrid work organization (from the office or from home)
- Flexible working hours
- Home office allowance program IT equipment allowance
- Working from anywhere policy (3 months per year)
- Opportunity to work in a truly international atmosphere

A new job with purpose awaits you

**Can the hiring process be adjusted to suit my needs? Yes.**

**Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect.**

**More**:
Employee referral bonus policy Paid employee volunteer day Paid moving day ( 1/year) Access to online