
Principal Data Scientist
1 week ago
Join to apply for the
Principal Data Scientist
role at
Xerxes Global
.
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THE OPPORTUNITY
XGS (XGS.ai) is a rapidly growing developer of AI FinTech solutions for M&A and Operations.
With a global presence, we work with corporate and private equity clients on complex decisions that involve strong analysis, extensive modeling, and advanced data analytics across a wide variety of industries and business functions.
THE ROLE
This is a unique opportunity for a Principal Data Scientist who wishes to work at the intersection of a product-focused and consulting services company.
The primary responsibilities include building statistical, ML, and AI software modules, working alongside product managers, software engineers, and designers.
The Data Scientist will also collaborate with consultants and senior finance and tech executives to leverage data for business insights and operational capabilities.
The Data Scientist Will
Identify business trends and problems through complex data analysis.
Interpret results from multiple sources using techniques from simple data aggregation to complex data mining.
Prepare data, implement data models, and develop databases to support business solutions.
Develop novel approaches to help business partners achieve objectives through analysis and modeling.
Utilize machine learning to create scalable, dynamic models.
Identify and develop long-term Data Science processes, frameworks, tools, and standards.
Qualifications And Expertise
We value a strong work ethic, resilience, and a passion for learning and creating, alongside specific skills and experiences.
Bachelor's degree in Data Science, Computer Science, Engineering, Math, Statistics, Physics, or related field.
Masters in Machine Learning or Data Science.
7+ years of experience applying ML, Statistics, or AI.
Machine Learning Experience
Deep expertise in Time-Series Modeling, Optimization, Pricing, Deep Neural Networks, NLP, or RAG applications.
Experience deploying ML models into production-grade applications.
Software and Technology Skills
Strong Python, PySpark, and SQL skills.
Experience with version control software (Git, Azure DevOps).
Soft Skills
Ability to define project agendas, frame business questions into analytical plans, and execute.
Strong communication and presentation skills, capable of delivering insights to senior management clearly and visually.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Capital Markets
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