Senior data scientist with english

Are you interested in joining a world-leading company that prioritizes innovation and supports your professional growth?
As a Senior Data Scientist, you will collaborate with teams to apply machine learning to the digital transformation of business processes, enhancing the client experience with the company´s products and solutions.
Working closely with machine learning engineers and software engineers, you will tackle real-world business challenges using advanced machine learning techniques.
Your responsibilities include delivering impactful products that directly influence people´s lives.
Take the next exciting step and be part of our journey to revolutionize the field of human capital management!
Tasks

- Create and deploy Machine Learning systems utilizing programming languages, frameworks, and tools like Python, AWS, and Databricks

- Collaborate with engineering and product teams within an Agile environment to discover, design, develop, and implement advanced Machine Learning solutions

- Create cutting-edge data products, machine learning models, and systems to enhance the user experience of the HCM system.

- Demonstrate proficiency in constructing models, specifically in domains such as natural language processing, deep learning, classification algorithms, or recommender systems

- Produce impeccable code and documentation, advocate for and establish best practices to generate adaptive, high-performing, and continuously learning AI models and systems

- Provide guidance and support for the professional development of fellow team members through mentoring


Requirements

- Hold a bachelor´s degree in Computer Science, Engineering, Mathematics, or a related field, or an equivalent qualification

- Possess 3-5 years of experience, honing and developing the relevant skills required for this role, gained through work in a similar or related capacity

- Have a high level of proficiency in Python, including popular data science packages (Pandas, Sklearn, etc.), a strong knowledge of data structures, algorithms, and methods used for data science and machine learning, and familiarity with natural language processing.

- Nice to have: Experience with AWS cloud solutions like Lambda and SageMaker, as well as expertise in CI/CD tools like Jenkins and non-relational databases (NoSQL) and exposure to platforms like Databricks, MLflow, and Jupyter notebooks


Benefits

- Permanent contract


- Competitive salary


- Benefits package: health insurance, life assurance and other interesting perks


- Hybrid work model (mix of office & home-based)


- Possibility to grow in an international company


- Step 1: Interview with one of our Recruiters to get to know you better


- Step 2: Phone call with HR


- Step 3: Technical Interview with the company´s Hiring Manager & Team


- Step 4: Final interview