Data Scientist and Python Developer

<h2><span style="font-weight: 400;">About OPEN</span></h2> <p><span style="font-weight: 400;">The built environment contributes roughly 40% of annual global emissions. Around the world, governments, utilities, capital providers, and portfolio managers are transforming the market forces that shape our cities. OPEN&rsquo;s data and software tools help them to make pro-climate decisions with confidence, by providing actionable insights on the best pathways to achieve energy and carbon savings from buildings.</span></p> <h3><span style="font-weight: 400;">Our Products</span></h3> <p><span style="font-weight: 400;">OPEN&rsquo;s most mature product&mdash;</span><a href="https://opentech.eco/products/grid/"><span style="font-weight: 400;">GRID</span></a><span style="font-weight: 400;">&mdash;collects data that describes the physical properties of commercial buildings alongside their utility usage. We use this data to benchmark the energy and carbon intensity of buildings at the municipal and portfolio levels. GRID is currently deployed in jurisdictions across North America and is being actively used to inform policy and incentive programs designed to accelerate energy and carbon savings from buildings.</span></p> <p><span style="font-weight: 400;">We use GRID&rsquo;s data, alongside our physics and domain-based modelling expertise, to train AI models that allow us to generate the most capital and energy efficient retrofit pathways for a given building.&nbsp;</span></p> <h3><span style="font-weight: 400;">Our Culture</span></h3> <p><span style="font-weight: 400;">OPEN is a dynamic technology company that's changing the game in climate action and environmental innovation. Our team is made up of dedicated individuals who are passionate about having a positive impact on the world. We are a small but ambitious group of people aligned around an outward facing mission and a commitment to building a culture of shared exploration, curiosity, and growth.</span></p> <p><span style="font-weight: 400;">As a small team, we need team members who can execute with high autonomy, and self-starters who love the challenge of building fast to learn fast. We need folks who understand the urgent need for change, and bring that fire to work.</span></p> <h2><span style="font-weight: 400;">About You</span></h2> <p><span style="font-weight: 400;">Every OPEN team member has the same top line item on their role description: to be a part of making OPEN successful, its work impactful, and its work culture collegial, creative, and productive.&nbsp;</span></p> <p><span style="font-weight: 400;">This position will report to the Chief Decarbonization Officer, who is currently the leading building and data science team.</span></p> <p><span style="font-weight: 400;">You will help OPEN to flourish by:&nbsp;</span></p> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Contributing actively to the development of software solutions, writing clean and efficient code in Python to develop and improve a pipeline of data generation, flow and analysis.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Utilizing statistical and machine learning techniques to analyze building energy datasets and develop predictive models for calculating energy and carbon performance in new and existing buildings across building types and climates.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Implement code leveraging Python to support automated virtual decarbonization plans for diverse building types, climates and clients.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Programming in Python: Contribute actively to the development of software solutions, writing clean and efficient code in Python to support data analysis and application development needs.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Collaboration and Communication: Collaborate effectively with cross-functional teams including software developers, product managers, and domain experts, communicating findings and contributing programming expertise to drive data-centric solutions.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Data Visualization: Uncover and make available insights from our dataset that will be used for visualizations and dashboards.</span></li> </ul> <p><span style="font-weight: 400;">You are:</span></p> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">A doer: highly effective at turning ideas into actions and actions into impact</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">A &ldquo;learn it all&rdquo;, not a &ldquo;know it all&rdquo;</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">A natural collaborator both internally and externally</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">A willing and practiced mentor</span></li> </ul> <p><span style="font-weight: 400;">You have:</span></p> <ul> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Degree in Data Science, Computer Science, Statistics, or a related quantitative field or commensurate years of experience.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Proven experience (5 years) in data analysis, machine learning, and predictive modeling</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Strong understanding of statistical methodologies and data manipulation techniques</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Expertise with Python and experience with relevant libraries/frameworks (e.g., pandas, scikit-learn, TensorFlow, PyTorch) for data analysis and machine learning.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Familiarity with cloud-based platforms (AWS, Azure, GCP) is advantageous.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Excellent communication skills with the ability to convey complex findings effectively.</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Proven track record of mentoring team members and implementing processes to meet a growing organization</span></li> <li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">A low-ego and collaborative approach</span></li> </ul> <h2><span style="font-weight: 400;">Location, Hours, and Salary</span></h2> <p><span style="font-weight: 400;">This is a hybrid role located in Vancouver BC. Folks come to the office 1-3 times a week. We are also very open to conversations about flexible work weeks (eg. 3 or 4 days per week), particularly for candidates who are parents and/or caregivers.</span></p> <p><span style="font-weight: 400;">This role will be classified as a Data Scientist - Intermediate. The salary range for this full-time position is </span><span style="font-weight: 400;">$90,000 to $120,000 CAD</span><span style="font-weight: 400;">. Salary is determined within this range commensurate with competency. All OPEN employees are eligible to participate in OPEN&rsquo;s benefits program after a three month probationary period.</span></p> <p>&nbsp;</p> <p><em><span style="font-weight: 400;">OPEN strives to build a team that reflects the diversity of the communities we are a part of.&nbsp; We encourage applicants from groups that are underrepresented in tech such as women, visible minorities, Indigenous persons, LGBTQ2 persons, and persons with disabilities.</span></em></p>