Senior Data Scientist - Structured Data Agents
Senior Data Scientist - Structured Data Agents
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Job Description
About us
At RavenPack we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services we empower our clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are now launching a new suite of GenAI and SaaS services designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this years Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.com a nextgeneration platform aimed at transforming financial decisionmaking.
Were looking for
We are seeking a Senior Data Scientist to join our team and drive the development and refinement of Structured Data Agents. This role requires expertise in data science methodologies advanced Python development and experience working with large language models (LLMs). The ideal candidate will excel in mastering new datasets understanding their nuances and contributing meaningfully from day one.
Key Responsibilities
- Dataset Exploration:
Rapidly understand new datasets including corner cases and nuances to optimize their use in AI systems.
Design workflows for integrating and validating structured data.
- Specification & Validation:
Write detailed specifications for structured data agents aligned with business goals.
Design and execute testing protocols for data validation and QA resolving inconsistencies.
- Development & Integration:
Contribute highquality Python code to structured data agent pipelines.
Integrate LLMs for structured data processing and dynamic problemsolving.
- Collaboration & Communication:
Work crossfunctionally with Data Engineering Product and QA teams.
Clearly explain complex technical concepts to both technical and nontechnical stakeholders.
Qualifications
- Required Skills:
Proficiency in Python for data processing and AI development.
Experience with LLMs including finetuning and applying them to structured data.
Expertise in handling largescale structured datasets (SQL) and validation processes.
Experience with cloud platforms (AWS SnowFlake) and collaborative tools (git).
Excellent communication skills and ability to contribute immediately.
Strong analytical and problemsolving skills with a proactive mindset.
- Education & Experience:
Masters degree in Data Science Computer Science Engineering or Financerelated fields (PhD preferred).
4 years of experience in data science.
Whats in it for You
International Culture: With its headquarters in Marbella Spain and presence in New York and London RavenPack takes pride in being a truly diverse global organization.
Competitive Salary: In RavenPack we believe that your time and experience needs to be fairly rewarded.
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success so we encourage you to speak up and tell us about your vision.
Hybrid work arrangement
Shuttle bus: From Malaga Fuengirola La Riviera and Estepona is available for free from the company.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
Employment Type
Full Time
