Data Scientist

2 weeks ago


Calgary, Canada Orennia Full time

**About Orennia**

“The impediment to action advances action. What stands in the way becomes the way.”
- Marcus Aurelius

There are very few times in history where society has faced a critical test that forced us to align around a common objective. We are confronting such a moment today: the fight against climate change. Reducing CO2 emissions is the primary (and perhaps sole) solution. A transition to renewable electricity as our primary power source is what stands in the way in reducing CO2 emissions. At Orennia, we believe what stands in the way becomes the way.

2020 saw the most investments ever in new wind and solar projects. As America de-carbonizes its energy stack, the annual investment in new power generation is expected to double by 2030. With trillions in capital needing to be deployed, Orennia helps investors make more informed decisions using data, analytics, and machine learning/artificial intelligence.

**Why Join Orennia?**

At Orennia, you will become part of a collaborative culture and do work that matters. As a company in the renewable energy industry, we believe that a diversity of perspectives generates better solutions. We trust and support each other, ask hard questions and solve complex problems. Guided by a spirit of inquiry, we design for people at every scale, creating spaces that elevate individuals, their communities, and the institutions that serve them.

**The Opportunity**

**What You'll Do**
- Communicate with the data engineering and analyst teams to identify data science opportunities and areas that data science could add value.
- Construct practical solutions to these problems that are scalable and explainable to project stakeholders.
- Collaborate with the data engineering team to implement data science solutions into our data pipeline.
- Maintain existing data science projects to ensure validity and function.

**Who You Are**
- 3+ years of experience working in a data science or analytical environment.
- Interest and passion for the product we build, the industry we’re in, and the needs of the users we serve.
- Geospatial experience is considered an asset.
- Extensive experience with SQL and Python at an intermediate to advanced level.
- Experience with Snowflake, Big Query, or Data Bricks.
- Experience with time series analysis including forecasting (e.g. Prophet or similar) and decomposition.
- Deep attention to detail, quality, and pragmatism.
- Dedication to continuous learning, improvement, and growth.
- Strong communication skills, with emphasis on clarity and conciseness.
- Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.
- A Bachelors degree (or higher) in a quantitative field.

We thank all applicants in advance for their interest in our organization and for taking the time to apply; however, only applicants invited for an interview will be contacted.

**Our Pledge to Fostering an Inclusive and Safe Workplace**:
Orennia is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.


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