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Graham Partners, a Philadelphia area private investment firm, seeks a Junior Data Scientist to join Graham Partners Operating Company (GPOC). GPOC is a wholly-owned subsidiary of Graham Partners, Inc. that provides consulting services and coordinates other services provided by operations executives, industry experts, consultants and outside firms to the Graham Partners portfolio companies, funds, affiliates and other entities.

The Junior Data Scientist will work with the Director of AI Strategy to support data and AI initiatives for our investment team, operations team, and various portfolio companies owned by the firm. The desired candidate will possess strong foundational skills manipulating large datasets and developing machine learning models and tools. Additionally, the ideal candidate will also possess some combination of secondary computer science / developer skills that can enhance the team’s ability to self-sufficiently build end-to-end AI tools (e.g. experience with web scraping, RPA, GenAI and agents, backend data engineering, front end app design etc). However, most importantly, we are seeking a candidate who possesses an entrepreneurial “high agency” mentality, who enjoys proactively finding solutions when confronted with obstacles and ambiguity. We are looking for a builder, not a researcher.

This unique position offers an exceptional junior candidate a high degree of autonomy and responsibility to build and deploy impactful real-world AI projects for our investors and across many portfolio businesses, while working in a high performing private equity environment.

The position is onsite at the Newtown Square, PA location, but flexible / remote work may be available some days each week.

Key Responsibilities:

• • Extract, clean, and transform large datasets
  • Build and maintain data pipelines and business intelligence tools
  • Own end-to-end execution of ML / AI projects. Partner with both technical and business colleagues to scope, develop, and producitonalize machine learning models and advanced data tools that drive business value
  • Visualize and communicate analytical results and insights to business leaders

Required Qualifications:

• Bachelor’s degree in data science, statistics, computer science, or a related quantitative field
• Between 0 – 3 years of work experience
• Highly proficient in Python. Pandas, Numpy, Sklearn, Matplotlib, and PySpark is required. (Additional proficiency in DLT and Tensorflow/PyTorch is plus)
• Proficient in SQL, including being able to utilize conditionals, joins, and CTEs. (Additional proficiency in DBT is a plus.)
• Experience working with large datasets, data pipelines, and an understanding of fundamental data warehousing techniques (Medallion architecture and dimensional modeling is a plus)
• Experience training and deploying classical machine learning models. This includes data cleaning/wrangling, feature engineering, model training and optimization, and model deployment using artifact storage/logging and online scoring
• Strong at data visualization and data storytelling. (Experience with business intelligence software – PowerBI, Qlik, or Tableau – is a plus)
• Basic backend development skills, including comfort being able to call APIs as part of a data tool flow
• Most importantly, exceptional integrity and honesty. Must be a positive team player with a “high-agency / can-do” attitude. Self-starter who is comfortable working independently and taking ownership of projects in a fast-paced environment, including hacking together creative solutions and doing some upstream or downstream development work to achieve goals

Preferred Qualifications:

• Any additional full stack developer skills are not required but are highly desirable, such as ability to leverage web scraping techniques, build RPA / automation workflows, web app or other interface development, and/or any other ability to enhance the building of useful ML/AI tools
• Experience leveraging GenAI is highly desired
• Specific experience with Microsoft data stack tools including Azure, Logic Apps, DevOps, Functions, BLOB, Copilot, and PowerBI, as well as specific experience with Databricks is helpful but not required
• A graduate degree in Data Science, Statistics, Computer Science, or a related quantitative field is plus but not required
• Familiarity with finance or financial services industry data and use cases is plus, but not required
• Familiarity with manufacturing and industrial technology industry data and use cases is a plus, but not required

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Graham Partners is an Equal Opportunity Employer. We do not discriminate based upon race, color, sex, gender identity, sexual orientation, age, religion, national origin, disability, citizenship status, military status, genetic information, or any other applicable characteristics protected by law. We invite all interested qualified applicants to apply for career opportunities.