Are you a highly motivated Data Scientist with expertise in machine learning and NLP? We have an exciting opportunity for you to join our team and work on cutting-edge predictive maintenance (PMX) solutions. By leveraging our groundbreaking technology, you'll be at the forefront of building innovative machine-learning solutions for our customers and contributing to the growth of a truly great company and culture.
Responsibilities:
- Develop and prototype data analytics and machine learning pipelines using VIP
- Become an expert in predictive maintenance (PMX) and attend conferences to assess competitive products.
- Collaborate with domain experts, regularly present your findings to stakeholders, and contribute to strategic decision-making.
Qualifications:
- **Must Have Top Secret Clearance (TS/SCI)
- Degree in Computer Science/EE/Applied Math/Statistics.
- 2-3 years of professional experience in Python data science stack: NumPy, pandas, scikit-learn, TensorFlow, PyTorch, PySpark, Dask, matplotlib, seaborn, bokeh, etc.
- Full-cycle experience in the Machine Learning lifecycle, from inception to production.
- Proficiency in SQL/NoSQL or other database systems (e.g., elasticsearch, graph databases).
- Strong experience with Git or alternative version control tools.
- Ownership mentality, eagerness to learn, and adaptability to business needs.
- Meticulous attention to detail.
- Excellent written and verbal communication skills, including comfortable public speaking and executive presentations.
- Authorized to work in the US without sponsorship and ability to obtain and maintain a security clearance (required by the DoD).
Nice to Haves:
- Prior experience with predictive maintenance, digital signal processing, or similar fields.
- Knowledge of Natural Language Processing (NLP) or Computational Linguistics.
- Familiarity with time series/temporal ML problems.
- Exposure to competitor technologies.
- Proficiency in big data frameworks (e.g., Dask, Spark) and working with large datasets.
- Experience with task schedulers (e.g., Celery) and web app development stacks (e.g., Flask/Django).
- Professional experience in building production software.
Key Skills: Python, TensorFlow, PyTorch, Machine Learning, SQL/NoSQL, NLP, Data Science