Our mission is the enablement of every organization and person with the technology to positively impact the health of planet Earth. Persefoni is creating an all-in-one platform that allows organizations to measure, analyze, and reduce their Enterprise Carbon Footprint. Our goal is to provide our customers unprecedented visibility and insights into the impact their organization has on the environment. Leveraging the latest breakthroughs in data science and software, our technology will empower teams and leaders to mobilize their organizations to continuously improve their greenhouse gas emissions metrics.
Our Core Values
Sustainability - We are committed to sustainable business practices across our entire operation and culture. We go beyond achieving balance. We are a net-positive contributor to the environment, our employee’s lives, and the global community.
Impact - We are focused on and passionate about tackling the biggest and hardest problems that will have the greatest impact. We create significant, not incremental, solutions.
Collaboration - We are always aligned in our goals and efforts to create the most impactful technologies possible. Constant cooperation across our company, customers, and partners is our standard mode of operating.
Equality - We value and respect people and organizations of all backgrounds. Ours is a culture of innovation, creativity, diversity of thought, and inclusion.
The Senior Data Scientist Role
As a Senior Data Scientist at Persefoni you will be a key member of the Data Engineering Department enabling our customers to achieve their GHG emissions objectives with data-driven insights. You have the skills to gather, transform, and analyze data from a variety of sources and with a variety structures. You’re able to apply analytical algorithms to solve a business problem, but you know that a deep understanding of the data and its origins is just as important. You’re able to apply validation and testing techniques to ensure that analytical results are accurate and trustworthy for decision-makers.
As a Data Scientist, you will partner with a cross-functional team including data engineers, front-end engineers, designers, product managers, and customer success engineers to deliver features at a rapid pace. Successful candidates should have strong software engineering skills, have a minimum of three years of recent professional programming in positions requiring the skills listed below with a preference for Python, Golang, and/or SQL development. Our backend stack is a combination of Golang, Redis, and MySQL while following the Clean Architecture Design pattern. APIs are documented and managed using the Open API framework and maintained in SwaggerHub. Our data pipelines are mainly managed via Databricks within AWS cloud services. All development work is managed via JIRA tracked sprints and Bitbucket Git-flow branch management.
This is a fast-paced startup environment, so our team needs to be flexible, wear many hats, and partner effectively. You may find yourself:
We expect any candidate will have a million things they need to learn about this fast-moving space, but prior experience in any of the following areas will give you an awesome head start:
Our Hiring Process
Step 1: Initial candidate screening call
Step 2: Interview with member(s) of the Data Science Team
Step 3: Interview with our Head of Data Engineering and Co-Founder and Chief Product Officer
Step 5: Offer extended
Step 6: Background check and on-boarding