Senior Data Scientist

About the team:

The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques.

Senior Data Scientist

The Senior Data Scientist plays a critical role in the AI Core team by guiding at every stage of the AI research with data-driven insights and substantiating the success/failure of these stages.

Responsibilities:

• Perform exploratory data analysis (EDA) on spectral datasets to identify patterns, trends, and anomalies.
• Rapid prototyping to test out multiple hypotheses across large-scale historical datasets
• Develop statistical and machine learning models to complement deep learning approaches.
• Validate model outputs against domain knowledge or computational (non-ML) spectral analysis
- Generate visualizations and reports for internal validation.
• Apply learnings from data patterns to innovatively generate simulated data
  

Skills:

• Strong background in statistics, machine learning, and data visualization.
• Experience with time-series data
• Rapid prototyping skills, hypothesis generation and testing
• Mathematical foundations (optimization, linear algebra, probabilistic modelling)
• Technical proficiency in some of these: Python, SQL, Pandas, Matplotlib/Plotly, Jupyter and Excel
• Experience with physics simulators (PyBullet, Gazebo) and synthetic data generation (Blender, NVIDIA Omniverse).
• Passion: Discovering patterns and creativity in analyzing data
  
  

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related technical field.
• 8+ years of experience in data analysis, statistical modelling, or related roles.
• Prior roles within AI research teams
• Background in chemometrics, spectroscopy, or analytical chemistry, desirable
• Advantage: Modelling anomaly detection, noise, baselines, and artifacts in any domain.
  
  

About Picarro:

We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability.

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.

If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.