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InvestCloud, Inc. Logo

Lead Data Scientist

InvestCloud, Inc.

$190,000 - $210,000
Dec 25, 2025
Warren County, NJ, US
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InvestCloud is looking to drive increased value from the data it captures to enable a smarter financial future for its clients through enhanced intelligence by building a greenfield AI ecosystem

Requirements

  • High proficiency in Python for model development and productionization
  • Experience with Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g., LangChain)
  • Hands-on experience working with large language models, Generative AI, and agentic frameworks
  • Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
  • Experience with modern database technologies (Oracle, PostgreSQL)
  • Experience working with cloud-scale data tools such as Snowflake and/or Databricks
  • Experience with Git, Docker, and modern development workflows

Responsibilities

  • Implement applications powered by Generative AI and Machine Learning models, deploying them into production environments
  • Develop and maintain datasets, features, and data pipelines that support ML model training, evaluation, and deployment
  • Analyze large datasets to identify patterns, trends, and key insights that drive business decisions
  • Interpret Machine Learning outputs and communicate findings to both technical and non-technical stakeholders
  • Stay current with advancements in Machine Learning, NLP, and Generative AI, evaluating opportunities to integrate new capabilities
  • Collaborate with third-party AI solution providers to assess, integrate, and optimize their technologies for InvestCloud’s needs
  • Work cross-functionally to embed AI and ML capabilities into the InvestCloud platform, enhancing advisor and client experiences

Other

  • MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field — or equivalent practical experience
  • 4+ years of professional experience in Data Science, Machine Learning, and AI
  • Strong written and verbal communication skills, including with non-technical audiences
  • Ability to operate in a fast-paced environment and manage multiple projects simultaneously
  • Collaborative team player who fosters open communication, knowledge sharing, and mutual respect