Posted on 
Jun 26

Data Scientist / Time Series Forecasting

About Stem

Stem provides solutions that address the challenges of today’s dynamic energy market. By combining advanced energy storage solutions with Athena™, a world-class artificial intelligence (AI)-powered analytics platform, Stem enables customers and partners to optimize energy use by automatically switching between battery power, onsite generation and grid power. Stem’s solutions help enterprise customers benefit from a clean, adaptive energy infrastructure and achieve a wide variety of goals, including expense reduction, resilience, sustainability, environmental and corporate responsibility and innovation. Stem also offers full support for solar partners interested in adding storage to standalone, community or commercial solar projects – both behind and in front of the meter.

Stem’s culture embodies diversity & inclusion beyond the traditional facets of gender, ethnicity, age, disabilities and sexual orientation to include experience, personality, communication, workstyles and more. At our core, Stem is at the momentous intersection of clean energy and software technology where diverse ideas, experiences and professional skills converge to make the inclusive culture we have today. Together, we are turning old-school thoughts about software and energy into progressive, collaborative, and innovative solutions. By joining our team, you will be collaborating with data scientists, energy experts, skilled salespeople, thought-leading executives and more from a range of backgrounds. This intersection of ideas, beliefs and skills is what makes us unique enough to lead the world’s largest network of digitally connected energy storage systems.

What we are looking for:

The Data Scientist will be part of Stem’s machine learning and simulations team, and will own time series forecasting capabilities at Stem. They will further develop Stem’s state-of-the-art time series forecasting pipeline. This individual will work closely with the head of ML and simulations and cross-functional team members to drive the technical direction of the forecasting capabilities of the Athena platform.

Responsibilities:
- Participate in technology development of Stem’s optimization, simulation and forecasting offerings, supporting products that meet and exceed customer requirements and respond to energy transition needs.
- Contribute to all aspects of the forecasting product suite, and support operations in deploying and stabilizing new products and business development as we evaluate our capabilities in new markets.
- Collaborate with other data scientists to scale and expand forecasting capabilities.
- Participate in agile development processes within the team, and follow high standards for automation, quality and transparency/observability.
- Foster a strong technical culture characterized by high-quality implementations, effective organizational communication, decisiveness and speed, constructive conflict resolution, and a can-do mentality.
- Establish effective and collaborative cross-functional working relationships with peers, developers, and the product management and operations teams.

Required Experience:
- 5+ years experience in delivering industry-leading software and data science products.
- Prior experience in time series forecasting.
- Prior experience delivering production-grade software in a test-driven environment with a dev-ops mentality.
- Experience with agile practices.
- Expert knowledge of Python and data science libraries such as numpy and pandas.

Desired Technical Experience:
- Application areas: solar generation forecasting and price forecasting.
- Familiarity with Docker, Kubernetes and microservices architecture
- Experience with Deep-neural-network architectures and tree-based models used in time series forecasting
- Experience with cloud technologies– AWS preferred
- Test-driven development: Unit tests, CITs, SITs
- Power user of JIRA, Confluence
- Experience with CICD tools such as Jenkins, CircleCI, TravisCI, Argo CD.
- Algorithm ops: Testing, Validation, Feature engineering, A/B testing
- Experience with ML libraries such as scikit-learn and keras.

General Qualifications:
- Extraordinary communication skills, and able to present on complex technical topics to non-technical audiences.
- Experience in high-quality companies known for excellence in engineering is highly desirable.
- Intellectually curious: You’re interested in understanding and experimenting with new cutting-edge technologies.
- Decisiveness: You gather the data and make informed, critical decisions quickly.
- Experience in full life cycle agile engineering practices ranging from concept, design, development, and QA to continuous release and maintenance.
- An entrepreneurial spirit with an ability to operate successfully in a high-growth company environment.
- A positive, energetic, can-do attitude: You’re driven to succeed, achievement-oriented, and self-motivated with high integrity, principles, and ethics.

Qualifications
- Masters degree in Engineering, Sciences
- 5 years of experience as a data scientist building state-of-the-art machine learning pipelines.

(Location: Remote or Greater Toronto Area, Canada)

Stem, Inc. is an equal opportunity employer committed to diversity in the workplace and does not discriminate against any employee or applicant for employment because of race, color, sex, pregnancy, religion, national origin, ethnicity, citizenship, sexual orientation, gender identity, age, marital status, disability, genetic information, military status, protected veteran status or any other factor protected by applicable federal, state or local laws.

Description

About Stem

Stem provides solutions that address the challenges of today’s dynamic energy market. By combining advanced energy storage solutions with Athena™, a world-class artificial intelligence (AI)-powered analytics platform, Stem enables customers and partners to optimize energy use by automatically switching between battery power, onsite generation and grid power. Stem’s solutions help enterprise customers benefit from a clean, adaptive energy infrastructure and achieve a wide variety of goals, including expense reduction, resilience, sustainability, environmental and corporate responsibility and innovation. Stem also offers full support for solar partners interested in adding storage to standalone, community or commercial solar projects – both behind and in front of the meter.

Stem’s culture embodies diversity & inclusion beyond the traditional facets of gender, ethnicity, age, disabilities and sexual orientation to include experience, personality, communication, workstyles and more. At our core, Stem is at the momentous intersection of clean energy and software technology where diverse ideas, experiences and professional skills converge to make the inclusive culture we have today. Together, we are turning old-school thoughts about software and energy into progressive, collaborative, and innovative solutions. By joining our team, you will be collaborating with data scientists, energy experts, skilled salespeople, thought-leading executives and more from a range of backgrounds. This intersection of ideas, beliefs and skills is what makes us unique enough to lead the world’s largest network of digitally connected energy storage systems.

What we are looking for:

The Data Scientist will be part of Stem’s machine learning and simulations team, and will own time series forecasting capabilities at Stem. They will further develop Stem’s state-of-the-art time series forecasting pipeline. This individual will work closely with the head of ML and simulations and cross-functional team members to drive the technical direction of the forecasting capabilities of the Athena platform.

Responsibilities:
- Participate in technology development of Stem’s optimization, simulation and forecasting offerings, supporting products that meet and exceed customer requirements and respond to energy transition needs.
- Contribute to all aspects of the forecasting product suite, and support operations in deploying and stabilizing new products and business development as we evaluate our capabilities in new markets.
- Collaborate with other data scientists to scale and expand forecasting capabilities.
- Participate in agile development processes within the team, and follow high standards for automation, quality and transparency/observability.
- Foster a strong technical culture characterized by high-quality implementations, effective organizational communication, decisiveness and speed, constructive conflict resolution, and a can-do mentality.
- Establish effective and collaborative cross-functional working relationships with peers, developers, and the product management and operations teams.

Required Experience:
- 5+ years experience in delivering industry-leading software and data science products.
- Prior experience in time series forecasting.
- Prior experience delivering production-grade software in a test-driven environment with a dev-ops mentality.
- Experience with agile practices.
- Expert knowledge of Python and data science libraries such as numpy and pandas.

Desired Technical Experience:
- Application areas: solar generation forecasting and price forecasting.
- Familiarity with Docker, Kubernetes and microservices architecture
- Experience with Deep-neural-network architectures and tree-based models used in time series forecasting
- Experience with cloud technologies– AWS preferred
- Test-driven development: Unit tests, CITs, SITs
- Power user of JIRA, Confluence
- Experience with CICD tools such as Jenkins, CircleCI, TravisCI, Argo CD.
- Algorithm ops: Testing, Validation, Feature engineering, A/B testing
- Experience with ML libraries such as scikit-learn and keras.

General Qualifications:
- Extraordinary communication skills, and able to present on complex technical topics to non-technical audiences.
- Experience in high-quality companies known for excellence in engineering is highly desirable.
- Intellectually curious: You’re interested in understanding and experimenting with new cutting-edge technologies.
- Decisiveness: You gather the data and make informed, critical decisions quickly.
- Experience in full life cycle agile engineering practices ranging from concept, design, development, and QA to continuous release and maintenance.
- An entrepreneurial spirit with an ability to operate successfully in a high-growth company environment.
- A positive, energetic, can-do attitude: You’re driven to succeed, achievement-oriented, and self-motivated with high integrity, principles, and ethics.

Qualifications
- Masters degree in Engineering, Sciences
- 5 years of experience as a data scientist building state-of-the-art machine learning pipelines.

(Location: Remote or Greater Toronto Area, Canada)

Stem, Inc. is an equal opportunity employer committed to diversity in the workplace and does not discriminate against any employee or applicant for employment because of race, color, sex, pregnancy, religion, national origin, ethnicity, citizenship, sexual orientation, gender identity, age, marital status, disability, genetic information, military status, protected veteran status or any other factor protected by applicable federal, state or local laws.

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