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Classical statistical analysis and signal processing
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Prediction, state classification and anomaly detection on multivariate time series data
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Regression and classification using a variety of classical and deep learning methods
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Machine vision and automated speech recognition
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Application of transformer architectures including composite and agentic AI
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Deployment and monitoring of ML workflows into both the cloud (AWS \& Azure) and the edge (Nordic, NXP, NVIDIA \& Intel)
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MLOps infrastructure and best practices
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Planning, implementing and communicating the results of algorithm field testing
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Walking clients through the data science journey and partnering with design to build effective visualizations and metrics for web and mobile applications
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Coach and mentor other engineers
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Participate in recruiting of candidates and improvement of the overall interview process
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Git, GitHub, GitHub Actions (CI/CD), pytest (TDD)
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The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib)
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Standard Python related data science tools such as SQL/Postgres, Docker, MLFlow, PySpark, PyTorch, TensorFlow and LangChain
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Jupyter notebooks for prototyping
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Cloud architecture and resources for production systems
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AWS: Lambda, ECS, RDS, DynamoDB, IoT Core, Greengrass, Sagemaker, Bedrock
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Azure: Functions, Container Registry, SQL Database, Machine Learning, IoT Hub
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3rd party: Ultralytics, TimescaleDB, Datadog, Peridio
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IaC: Terraform
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Yocto, Linux and macOS development environments
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Elixir, Phoenix, and Nerves
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Embedded C and other lower level languages such as Rust
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CI/CD including hardware and end-to-end testing and verification
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Development Single-Board Computers such as RPi
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Master's degree in Data Science related field
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7 years of related experience
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Deployed statistical, ML or other analytical models to production
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Lead teams with hardware and software engineers
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Performed real-time signal processing and lead teams that did so
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Worked directly with clients and partnered with sales and client success teams to secure new work
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Partnered with client success and senior executives ensure the success of current and future projects
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Strong written and spoken communication skills in English
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Proficient in Agile development and breaking solutions into "thin vertical slices" of work
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Guiding interdisciplinary team to successfully estimate and execute these slices
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Experience developing and managing AWS workflows
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Expert-level Python development skills related to Data Science
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Automated testing, code coverage, model building \& evaluation
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SciPy Stack, Scikit-learn, Tensorflow or PyTorch
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GitHub CI/CD best practices
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Experience developing, compiling and deploying C, C or Embedded C software
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Proficient developing in Linux including and light administration
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10 years of related experience including with connected devices
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Proficient in embedded real-time signal processing
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AWS Professional level certification
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Familiarity with Elixir, Phoenix, and Nerves
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Hands-on experience with Single-Board Computers such as RPi
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Communicates Effectively: Demonstrates expert-level communication skills. Communicates to inform, engage and inspire. Negotiates for positive outcomes with clients on complex projects
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Influences broad audiences and creates compelling narratives around their ideas and why they are important
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Demonstrates an expert level of knowledge and experience and as a result instills confidence in technical ability by team and clients
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Takes calculated risks and shows a commitment to innovation that improves the business and tech community
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Accurately estimates full scale engagements for Statements of Work, as part of the sales process
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Leads people through our toughest program scenarios toward successful outcomes. Provides quick redirection when needed.
