Senior Data Scientist – ML Product Development

Title Senior Data Scientist ML Product Development

Department Engineering - Development

Location Niwot TBD

Reports To Research Director

About Us

Established in 1972 Particle Measuring Systems is a global leader for micro-contamination monitoring equipment improving the performance of clean manufactures in the semiconductor and pharmaceutical industries. Were a growing technology company in Niwot Colorado the heart of the Rocky Mountains. We offer an exceptional and rewarding work environment in a great place to live. Our employees enjoy challenging projects in the development and manufacture of light scattering particle counters and diverse technologies and applications.

Your Impact

Were looking for a Data Scientist who is passionate about building machine learning (ML) solutions that directly power and enhance our products. Youll collaborate closely with product managers engineers and designers to design train and deploy ML models that create meaningful user experiences drive personalization and improve decision-making at scale. With your experience of telemetry/sensor sourced data time-series analytics and embedded model deployment youll advance the most sensitive instrumentation by applying data science to the physical world.

The Role

This role sits at the intersection of data science software engineering and product innovation perfect for someone who loves seeing their models come to life in real-world applications. Youll have the opportunity to see your ML work directly shape user experiences and business outcomes in a collaborative data-driven culture that values innovation and continuous learning.

Job 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.

Required Qualifications

Masters 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 Qualifications

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.

Work Environment & Physical Requirements

This role primarily operates in an office/lab/manufacturing environment. Must be able to sit stand and use a computer for extended periods of time

Occasional lifting of up to 20 lbs. independently may be required

This role involves occasional working in laboratory environments that include exposure to X-rays radiation and biological materials. All work is performed following established safety protocols and regulatory guidelines

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this role

Compensation & Benefits

Competitive base salary range: $150000 - 170000

• Our compensation philosophy: we offer competitive pay based on market data including local national and industry benchmarks. For new hires offers are generally within the established min- to mid-point of the range for the role with flexibility to recognize experience skills and education. Our approach ensures fair pay internally while remaining competitive externally and allows room for growth.

Comprehensive benefits package:

• 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

Particle Measuring Systems is proud to be an Equal Opportunity Employer and are committed to building an inclusive and supportive workplace where everyone can thrive.

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