Picarro, Inc.
Data Scientist
Picarro, Inc., Santa Clara, California, us, 95053
Position Title:
Data Scientist
Location:
Santa Clara, CA
Job Term:
Full-Time
The Opportunity:
We are seeking a Data Scientist to help drive development of the next generation of laser-based analytical instrumentation capable of high precision, high accuracy molecular analysis of complex gas mixtures. The Data Scientist will be responsible for analyzing large amounts of real-world customer data, and for helping to develop the advanced spectroscopic analysis algorithms and software tools that will be deployed on our instruments worldwide. We are looking for an innovative data scientist with extensive data analysis and data modeling experience; who understands the challenges of collecting and interpreting spectroscopic data; who is adept at managing, analyzing, and displaying large amounts of scientific data; and who can develop a deep understanding of Picarro’s core CRDS technology. The ideal candidate combines a deep competence in machine learning and statistical analysis with a firm grounding in physical modeling and first-principles analysis.
Qualifications:
Assess effectiveness of current algorithms using batch processing frameworks, Jupyter notebooks, and python scripts.
Discover relationships between real-world data and algorithm outputs to better understand our instruments.
Work on new algorithms based on application and analytical needs.
Assist in maintaining and troubleshooting our notebook templates.
Contribute to our analytical repositories to maintain data visualization and curation, and algorithms.
Summarize large sets of batch processing results for digestible and actionable discovery.
Education Required:
M.S., Ph.D. preferred in Physics, Applied Physics, Chemistry, Engineering, Mathematics, Computer Science, or related field.
Requirements:
2+ years of python programming required.
5+ years of data science and analytics experience required.
Experience with NumPy, scipy, sklearn, pandas and jupyter required.
Experience with HPC preferred (Ray, SLURM, Dagster, Airflow, other).
Understanding of physical or chemical modeling, especially spectroscopic analysis, is preferred.
Expertise in Scientific Data Analysis and Visualization is required.
Experience in the application of machine learning techniques to physical systems is desirable.
Experience with Xarray a bonus.
Ability to manage, process, and visualize large amounts of scientific data quickly.
Independently Motivated / Technical Leader.
Able to communicate effectively, both verbally and in writing, to a diverse range of audiences (peers, staff, management, collaborators, etc.) and skill levels (novice to expert).
Salary & Benefits:
The base salary range for this full-time position is $135,000 - $145,000. Your base salary range and title will be determined based on the location, experience, qualification, skills, knowledge, level, and pay of employees in similar positions.
We offer a comprehensive benefit package including:
Medical, Dental, and Vision insurance
Flexible Spending Account (FSA) and Health Savings Account (HSA) plans
Life, Short-Term Disability, and Long-Term Disability Insurance
Paid Time Off and Paid Holidays
Employee Referral Program
401K
Social events (summer picnic, holiday party, team lunches, etc.)
On-site Health & Wellness programs (fitness challenges, outdoor bootcamp, flu-shots, etc.)
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.
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Data Scientist
Location:
Santa Clara, CA
Job Term:
Full-Time
The Opportunity:
We are seeking a Data Scientist to help drive development of the next generation of laser-based analytical instrumentation capable of high precision, high accuracy molecular analysis of complex gas mixtures. The Data Scientist will be responsible for analyzing large amounts of real-world customer data, and for helping to develop the advanced spectroscopic analysis algorithms and software tools that will be deployed on our instruments worldwide. We are looking for an innovative data scientist with extensive data analysis and data modeling experience; who understands the challenges of collecting and interpreting spectroscopic data; who is adept at managing, analyzing, and displaying large amounts of scientific data; and who can develop a deep understanding of Picarro’s core CRDS technology. The ideal candidate combines a deep competence in machine learning and statistical analysis with a firm grounding in physical modeling and first-principles analysis.
Qualifications:
Assess effectiveness of current algorithms using batch processing frameworks, Jupyter notebooks, and python scripts.
Discover relationships between real-world data and algorithm outputs to better understand our instruments.
Work on new algorithms based on application and analytical needs.
Assist in maintaining and troubleshooting our notebook templates.
Contribute to our analytical repositories to maintain data visualization and curation, and algorithms.
Summarize large sets of batch processing results for digestible and actionable discovery.
Education Required:
M.S., Ph.D. preferred in Physics, Applied Physics, Chemistry, Engineering, Mathematics, Computer Science, or related field.
Requirements:
2+ years of python programming required.
5+ years of data science and analytics experience required.
Experience with NumPy, scipy, sklearn, pandas and jupyter required.
Experience with HPC preferred (Ray, SLURM, Dagster, Airflow, other).
Understanding of physical or chemical modeling, especially spectroscopic analysis, is preferred.
Expertise in Scientific Data Analysis and Visualization is required.
Experience in the application of machine learning techniques to physical systems is desirable.
Experience with Xarray a bonus.
Ability to manage, process, and visualize large amounts of scientific data quickly.
Independently Motivated / Technical Leader.
Able to communicate effectively, both verbally and in writing, to a diverse range of audiences (peers, staff, management, collaborators, etc.) and skill levels (novice to expert).
Salary & Benefits:
The base salary range for this full-time position is $135,000 - $145,000. Your base salary range and title will be determined based on the location, experience, qualification, skills, knowledge, level, and pay of employees in similar positions.
We offer a comprehensive benefit package including:
Medical, Dental, and Vision insurance
Flexible Spending Account (FSA) and Health Savings Account (HSA) plans
Life, Short-Term Disability, and Long-Term Disability Insurance
Paid Time Off and Paid Holidays
Employee Referral Program
401K
Social events (summer picnic, holiday party, team lunches, etc.)
On-site Health & Wellness programs (fitness challenges, outdoor bootcamp, flu-shots, etc.)
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.
#J-18808-Ljbffr