Company introduction
Our mission is the enablement of every organization and person with the technology to positively impact the health of planet earthPersefoni is creating an all-in-one platform that allows organizations to measure, analyze, and reduce their enterprise carbon footprintOur goal is to provide our customers unprecedented visibility and insights into the impact their organization has on the environmentLeveraging 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 cultureWe go beyond achieving balanceWe 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 impactWe create significant, not incremental, solutions.
Collaboration - we are always aligned in our goals and efforts to create the most impactful technologies possibleConstant cooperation across our company, customers, and partners is our standard mode of operating.
Equality - we value and respect people and organizations of all backgroundsOurs is a culture of innovation, creativity, diversity of thought, and inclusion.
The principal data scientist role
As a principal 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 insightsYou have the skills to gather, transform, and analyze data from a variety of sources and with a variety structuresYou`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 importantYou`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 paceSuccessful 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 developmentOur backend stack is a combination of golang, redis, and mysql while following the clean architecture design patternApis are documented and managed using the open api framework and maintained in swaggerhubOur data pipelines are mainly managed via databricks within aws cloud servicesAll development work is managed via jira tracked sprints and bitbucket git-flow branch management.
Responsibilities
This is a fast-paced startup environment, so our team needs to be flexible, wear many hats, and partner effectivelyYou may find yourself:
Enriching raw data to enable analytical insights internally and for customers
Sourcing and evaluating third-party data and analytics and develop integration requirements for
Performing ad-hoc analysis to address customer needs and inform persefoni strategy and priorities
Developing, validating, and deploying machine learning capabilities, both internal and customer-facing
Evaluating methodological documentation for environmental emissions factors to determine if they are suitable for a use case
Collaborating on the design of data models, technical architecture, data flows, schemas and api contracts
Developing tools to ensure integrity of internal and customer data in the platform or streamline the customer`s data integration experience
Tracking your work through the software development lifecycle in jira, push well-documented pull requests for features, and collaborate through review and comments on your fellow developer pull requests
Basic qualifications
Bachelor’s degree plus 6 years of professional experience in data analytics, or master’s degree plus 4 years of professional experience in data analytics, or phd plus 1 year of professional experience in data analytics
Proficiency in automated testing
At least 2 years experience with machine learning or predictive modeling.
At least 2 years experience with data retrieval and transformation using relational databases
Ideal qualifications
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:
Environmental science and/or economics background
Strong practitioner of reproducible analysis
Expertise in automated testing
Experienced in structured data extraction from unstructured documents
Experience with data pipeline development in databricks
Proficiency with creating structs, struct methods and interfaces in go
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
Benefits
Pto
Health, dental, and vision insurance
Disability, life insurance
Equity incentive plan
Work from home flexibility
