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Senior Data Scientist W/ Full Professional Level of
hace 1 mes
Are you interested in joining a world-leading company that prioritizes innovation and supports your professional growth?
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
**Languages**:
- Full professional level of English
Barcelona
- Competitive salary
- SaaS
- Contract
**Main Responsibilities**:
- 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
**Core Skills/experience**:
- Hold a bachelor's 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 non-relational databases (NoSQL) and exposure to platforms like Databricks, MLflow, and Jupyter notebooks
**What’s on offer**:
- 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
**Our recruitment process**:
- 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
