Data Scientist

Overview

We are seeking an experienced

Data Scientist

to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization. Key Responsibilities

Analyze large, complex structured and unstructured datasets to derive actionable insights. Develop, validate, and deploy statistical and machine learning models. Use SQL, Python, or R to manipulate data and draw insights from large datasets. Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings. Implement parameter reduction techniques such as feature selection and PCA to optimize models. Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment. Work with APIs and integrate external / internal data sources for enhanced analytics capabilities. Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems. Experiment with and integrate vector databases and embedding-based approaches for LLM use cases. Collaborate with cross-functional teams including product, engineering, and business stakeholders. Ensure accuracy, consistency, and quality in data deliverables. Required Qualifications

3+ years of experience as a Data Scientist, Data Analyst, or similar role. Strong proficiency in SQL and Python or R. Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.). Solid understanding of statistics, data modeling, hypothesis testing, and machine learning. Experience with parameter reduction techniques (e.g., PCA, feature selection). Proven experience working with APIs, large datasets, and both structured / unstructured data. Experience using Dataiku (DSS) for building data pipelines and deploying models. Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies. Bachelor\'s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Experience in the financial services or investment domain is a plus

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