Senior Data Scientist w full professional level of English

Are you interested in joining a worldleading 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 companys products and solutions.

Working closely with machine learning engineers and software engineers you will tackle realworld business challenges using advanced machine learning techniques.

Your responsibilities include delivering impactful products that directly influence peoples 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 cuttingedge 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 highperforming and continuously learning AI models and systems
• Provide guidance and support for the professional development of fellow team members through mentoring

Requirements

• Hold a bachelors degree in Computer Science Engineering Mathematics or a related field or an equivalent qualification
• Possess 6 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 (optional): Experience with AWS cloud solutions like Lambda and SageMaker as well as expertise in CI/CD tools like Jenkins and nonrelational 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 & homebased)

• 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 companys Hiring Manager & Team

• Step 4: Final interview