Data Scientist

about 2 years ago
Full time role
Denver, CO, US... more
Denver, CO, US... more

Company

Project Canary is a mission-driven B-Corp that helps reduce emissions in the energy, waste, and agriculture industries through independent assessment ...

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Job Description

Project Canary is a SaaS-based data analytics company focused on environmental performance or the E in ESG for energy and additional business sectors. We are the leaders in assessing and scoring responsible operations and provide independent, measured emission profiles, including methane, via high fidelity continuous monitoring technology that helps companies take ESG action. Formed as a Public Benefit Corporation (B-Corp rating score 107), Project Canary’s Denver-based team of technologists, engineers, and seasoned industry operators have earned recognition for their uncompromising standards and high-fidelity data.

Project Canary’s mission is to fight climate change and put actionable insights starting with the energy sector. We ingest data from various sources, including our own proprietary environmental sensors/hardware, to calculate carbon emissions from different facilities in real-time via SaaS. The resulting independent data can inform the procurement of offsets in real-time using microtransactions, formulate a data-driven ESG strategy that investors now demand, improve operations by identifying problem areas in minutes, and bolster customer engagement through radical supply chain transparency.

Founded in 2019, Project Canary, PBC has quickly gained recognition as a major mover in the continuous monitoring space. Here are some highlights from last year:

  • Fundraise totaling $121M, Series A of $10M in 2021 and Series B of $111M in 2022
  • Certified as a B-Corporation with a score of 107.6
  • Recognized as Best for the World (top 5% of all B-Corps) in 2 out of 5 categories
    • Governance (transparency and ethics)
    • Workers (treatment of teammates and culture)
  • Additional recognition and awards for our culture (more to come soon!)
  • eNPS score of 72 (most recent measurement in Q4 of 2021)
  • Headcount growth by 6X and growing
  • Revenue growth of 6X and growing

Project Canary’s success is attributed to the motivation, skill, and teamwork of everyone. The team understands the importance of maintaining a culture where relationships are valued, feedback is crucial, and trust in each other and our products/services is paramount. If you enjoy a growth-stage environment, mission-driven work, we want to hear from you.

The Data Scientist will be part of the Data and Analytics team responsible for research and development of advanced predictive modeling to diverse problems across the oil and gas, utilities, and waste management value chain.

You are a team player who has a significant academic and industrial experience applying first principle-based models such as CFD and reduced order models and state of the art machine learning (Regression, Classification, Decision Trees, Random Forests) and deep learning techniques (CNN, RNN, LSTM, GRU).

Job Responsibilities:

  • Support Data and Analytics team through development of plume dispersion modeling to resolve complex fluid problems in an open field
  • Execute the certification through the review of a company's documentation, personnel interviews, and evaluation of well pad design
  • Assist the development of white papers for quantification analysis as well as additional technical and professional writing
  • Engagement with various disciplines within the Project Canary team including science, software, and regulatory members
  • Develop and support scientific projects that enhance our understanding of methane emission patterns and opportunities for enhanced methane mitigation from production and distribution of oil and gas globally
  • Play a role in designing, planning and execution of PC expanding work on quantifying methane emissions using first principal engineering methods, mathematical models, and statistical analysis
  • Coordinate and ensure rigor of scientific initiatives collaboratively undertaken with a diverse group of stakeholders including industry, academics, multilateral organizations, and the public sector
  • Remain at the forefront of climate science, including staying up to date with scientific literature

Requirements

Education and experience:

  • 3+ years' experience quantifying emissions data
  • Strong background in fluid flow, CFD, Data Analytics
  • Competent in programming languages such as Python, C#, and Matlab
  • At least a bachelor's degree in Mechanical Engineering or relevant engineering field
  • Advanced degree and/or professional certifications helpful
  • Experience in performing rigorous analysis with short deadlines in support of highly visible work
  • Demonstrated scientific expertise, including but not limited to a record of scholarly publications and/or involvement in scientific panels
  • Experience synthesizing, interpreting, and communicating scientific data in an advocacy setting and for non-scientific populations
  • Vaccination required

Benefits

  • Full coverage of health, dental, and vision insurance (low deductibles)
  • 401K company match (no vesting period)
  • Stock options
  • Student loan assistance
  • Unlimited PTO (minimum rule of taking at least 3 weeks off in a year)
  • Company sponsored wellness days (Fall hike, ski/snowboard days and more)
  • 12 weeks of fully paid parental leave (gender neutral) including adoptions
  • Flex Choice – choice between free parking, free RTD, or wellness assistance
  • Pet friendly – dogs only currently
  • Salary range: $90,000 - $130,000 annual base
  • Flexible work environment - Must reside near Denver


Project Canary provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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