Data Scientist (DS) and Machine Learning (ML) Researcher - ONSITE
BluePath Labs
- West Point, NY
- $100,000-130,000 per year
- Permanent
- Full-time
- Assist in the writing of scholarly manuscripts, research projects, white papers, and proposals.
- Make positive scholarly contributions that are of interest to the USMA Principal Investigator (PI), which include AI/ML techniques such as deep neural networks, foundation models (LLMs, VLMs, etc.), reinforcement learning, evolutionary computation, etc.
- Experience with AI/ML frameworks (e.g., Sklearn, TensorFlow, Keras, pyTorch).
- Responsible for conducting advanced research and analyses using techniques from DS, AI, and ML.
- Work both alone and as part of a team with other researchers, developers, analysts, and stakeholders to deliver high-quality data-centric, decision-driven insights, analytics, algorithms, and models.
- Perform Data Engineering (DE) and exploratory data analysis, including munging, cleaning, and labeling on both structured and unstructured data.
- Design, develop, implement, and evaluate statistical AI/ML algorithms/models for various tasks using multiple data types (text, tabular, time series, image, logs, etc.).
- Comfortable working with on-premises and cloud-native environments for the discovery, extraction, and analysis of patterns/trends to gather, process, and derive valuable insights needed to build and deliver AI/ML-enabled capabilities.
- Master's degree in Computer Science (CS), statistics, mathematics, Data Science (DS), Operations Research (OR), Artificial Intelligence (AI), Electrical Engineering (EE), Industrial & Systems Engineering (ISE), or a related technical field.
- 3-5 years professional experience in data science work, including academic work.
- Proficiency in Python.
- Experience designing and querying relational (RDB) and non-relational databases (NRDB) (e.g., SQL, NoSQL).
- History of published research (e.g., thesis, publications, presentations, conferences, posters)
- U.S. citizenship.
- Ability to obtain a DoD Secret clearance.
- Familiarity with Ubuntu Linux and virtualization technologies (e.g., Docker).
- Applied research experience with vectorized data, time-series, etc.
- Applied research experience with R, Julia, Matlab, Rust, etc.
- Knowledge of computer and network security principles, datasets, and tools.
- Knowledge of AI/ML application tasks such as computer vision, Natural Language Processing (NLP), search and optimization, and knowledge representation/reasoning.
- Published peer-reviewed papers and programming code repositories.