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Data Scientist
hace 2 meses
About RavenPack
RavenPack is a leading provider of alternative data solutions for the financial industry. With a strong focus on innovation and technology, we empower our clients to make informed decisions and stay ahead of the competition.
Job Summary
We are seeking a skilled Data Scientist to join our team at our headquarters in Marbella, Spain. As a Data Scientist, you will play a key role in developing and refining our data products, ensuring they meet the highest standards of quality and relevance.
Responsibilities
- Collaborate with a diverse team of data scientists and engineers to develop and refine innovative data products.
- Design and implement data pipelines that facilitate the extraction, transformation, and loading (ETL) of structured and unstructured data for analysis and modeling.
- Validate and assess the outputs from the Data Science Research Team, ensuring that the data products are robust, accurate, and aligned with business objectives.
- Conduct data quality checks and implement validation processes to maintain the integrity of data throughout the product life-cycle.
- Share insights and findings with both technical and non-technical stakeholders, contributing to a culture of knowledge sharing and continuous improvement.
- Document processes and methodologies related to data science and engineering practices, promoting transparency and best practices within the team.
Requirements
- Bachelor/MSc in a quantitative field such as Data Science, Computer Science, Engineering, Applied Mathematics, or a related discipline.
- Strong analytical, quantitative, and problem-solving skills, with a proven track record of applying these skills in real-world scenarios.
- Proficiency in programming languages such as Python, with experience in developing data processing pipelines and utilizing libraries for data analysis.
- Familiarity with SQL and experience working with relational databases; knowledge of NoSQL databases is a plus.
- Experience in implementing data quality checks and validation processes, ensuring data integrity and reliability.
- Strong communication skills, with the ability to articulate complex concepts clearly and effectively to diverse audiences.
Desired Skills
- Familiarity with cloud platforms (e.g., AWS) and experience with data engineering tools and technologies.
- Practical experience with Natural Language Processing (NLP) and large language models (LLMs).
- Exposure to big data technologies and frameworks, as well as familiarity with machine learning techniques and agentic workflows.
What We Offer
- Growth Opportunity: Join a team building AI that truly matters, contributing to making Gen-AI useful for finance and business research in a rapidly growing company.
- Hybrid work model, allowing for up to 2 days remote per week.
- Free Company shuttle bus from nearby cities.
- Ownership of projects working in a collaborative environment.
- Continuous learning and training opportunities.
- Diversity and inclusion in our DNA.
