Spectris · 1 month ago
Senior Data Scientist – ML Product Development
Niwot, CO
Full-time
Onsite
Senior Level
$150K/yr - $170K/yr
5+ years expParticle Measuring Systems is a global leader for micro-contamination monitoring equipment. They are seeking a Data Scientist who will build machine learning solutions to enhance their products, collaborating with cross-functional teams to design, train, and deploy ML models that improve user experiences and decision-making.
ElectronicsManufacturing
Responsibilities
Design, develop, and deploy machine learning models and algorithms that solve core product challenges (e.g., recommendations, predictions, personalization, automation) with real-time instrumentation
Analyze and interpret large datasets generated by software systems, identifying patterns, anomalies, and behavioral trends
Design, train, and validate Machine Learning models for prediction, classification, clustering, and anomaly detection
Collaborate with cross-functional teams (engineering, product, design) to integrate ML models into production systems
Prototype and experiment with new model architectures and data sources to continuously improve product performance
Monitor and evaluate model performance in production, ensuring robustness, fairness, and scalability
Communicate insights and model results clearly to both technical and non-technical audiences
Contribute to data infrastructure and pipelines that support model training, testing, and deployment
Stay current on advances in machine learning, AI, and data engineering — and help bring new ideas into production
Excellent communication skills; translating data and communicating it to internal experts, making critical decisions in collaboration with other disciplines
Qualification
Required
Master's or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or related field (or equivalent experience)
3+ years of experience building and deploying ML models in production environments, with 5-8+ years of relevant experience
Must have hands-on experience integrating AI models with sensor data, control logic, and signal processing pipelines to improve the accuracy, performance, and predictive capabilities of physical hardware systems
Strong proficiency in Python and popular ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)
Hands-on experience of data preprocessing, feature engineering, and model evaluation
Solid knowledge of statistics, predictive modeling, and experimental methods
Experience working with cloud-based ML platforms (AWS Sagemaker, GCP Vertex AI, or Azure ML) and containerization (Docker or similar)
Familiarity with software engineering best practices (version control, testing, CI/CD)
Preferred
10+ years experience in production level firmware or software engineering for real-time systems, or equivalent product development experience
Experience developing ML-powered product features (e.g. Predictive maintenance, personalization, recommendations)
Knowledge of A/B testing, experimentation frameworks, and data-driven product iteration
Understanding of MLOps principles and tools for scalable model deployment and monitoring
Excellent communication and collaboration skills; ability to translate complex models into actionable insights
Benefits
Health coverage: medical, dental, vision, fsa, onsite clinic (CO employees), life insurance
401(k) retirement plan with company match
Vacation, holiday, and leave policies
Tuition reimbursement, Employee recognition programs, Employee assistance programs
Company
Spectris
Spectris is a supplier of tech instruments, test equipment, and software for the industrial applications.
5001-10000 employees
Funding
Current Stage
Public CompanyTotal Funding
$400M2025-07-02Acquired
2024-11-11Post Ipo Debt· $400M
1988-11-29IPO
Leadership Team
Ken Smith
President, Asia Pacific
Recent News
2026-01-23
2026-01-16
Company data provided by crunchbase