Senior Data Scientist

About Us

As a world leading provider of integrated solutions for the alternative investment industry, Alter Domus (meaning The Other House in Latin) is proud to be home to 90% of the top 30 asset managers in the private markets, and more than 6,000 professionals across 24 jurisdictions.

With a deep understanding of what it takes to succeed in alternatives, we believe in being different - in what we do, in how we work and most importantly in how we enable and develop our people. Invest yourself in the alternative, and join an organization where you progress on merit, where you can speak openly with whoever you are speaking to, and where you will be supported along whichever path you choose to take.

Find out more about life at Alter Domus at careers.alterdomus.com

About The Role

We are seeking an experienced Senior Data Scientist with strong data engineering fundamentals to serve as a technical backbone for our data infrastructure. The ideal candidate will have deep expertise in diagnosing code issues, troubleshooting failing workflows, and debugging production data pipelines in both Python and R environments on the Databricks platform. Beyond maintaining and supporting existing systems, a successful candidate will develop and enhance AI and data-driven solutions and build practical user-facing applications. This is an opportunity for a data scientist who enjoys moving beyond experimentation and applying modern AI and machine learning techniques to real business problems.

Responsibilities

• Design and implement data transformation and standardization methodologies, including panel dataset specification design, to convert structured/unstructured and digital/non digital data into standardized, digitized formats—enabling the onboarding of new data sources aligned to business priorities
• Design, maintain, and continuously improve existing Databricks workflows supporting data science, analytics, and AI/LLM workloads. Evaluate and improve the quality, reliability, and performance of existing data pipelines through rigorous testing, monitoring, and evaluation.
• Integrate applications with LLM APIs, databases, enterprise data sources and other services.
• Build interactive data and AI applications using Streamlit, Flask, FastAPI or other appropriate Python frameworks and libraries.
• Provide production support and rapid incident response when workflows fail or data quality issues arise
• Author technical documentation including workflow specifications, process guides, debugging runbooks, and troubleshooting guides
• Use GenAI applications to accelerate future code development, identify optimization opportunities, and improve pipeline efficiency. Stay current with emerging AI and data science technologies to improve automation and productivity
• Support ad-hoc troubleshooting projects and strategic initiatives as needed
  
  

Qualifications

• Master's degree or PhD in Computer Science, Data Science, Mathematics, Statistics, Economics, Financial Engineering, or a related quantitative discipline
• 5+ years of professional experience in data science, data engineering, or a closely related field
• Strong programming proficiency in both Python, SQL, and R with demonstrated ability to debug complex code issues
• Practical experience developing or contributing to Generative AI and LLM-based applications, with an understanding of LLMs, prompt engineering, embeddings, and RAG
• Ability to read, understand, and fix code written by others across both Python and R
• Familiarity with data warehouse concepts, schema design, and data consolidation patterns
• Understanding of Generative AI applications and practical experience leveraging AI/ML tools to enhance code quality and development velocity
• Knowledge of agentic AI workflows and how they can be applied to data engineering tasks
• Exceptional analytical and problem-solving abilities – a must for diagnosing complex issues
• Excellent communication skills with ability to explain technical issues to both technical and non-technical stakeholders
• Ability to work independently and take ownership of system reliability
• Collaborative mindset to work effectively in a fast-paced environment with cross-functional teams
  
  

What We Offer

We are committed to supporting your development, advancing your career, and providing benefits that matter to you.

Our industry-leading Alter Domus Academy offers six learning zones for every stage of your career, with resources tailored to your ambitions and resources from LinkedIn Learning.

Our Global Benefits Also Include

• Support for professional accreditations such as ACCA and study leave
• Flexible arrangements, generous holidays, plus an additional day off for your birthday!
• Continuous mentoring along your career progression
• Active sports, events and social committees across our offices
• 24/7 support available from our Employee Assistance Program
• The opportunity to invest in our growth and success through our Employee Share Plan
• Plus additional local benefits depending on your location
  
  

Alter Domus is an Equal Opportunity Employer: Equity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

(Alter Domus Privacy notice can be reviewed via Alter Domus webpage: https://alterdomus.com/privacy-notice/)