Senior Data Scientist

Greenely AB (publ) / Datajobb / Stockholm
2023-09-06
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Greenely is on a mission to create the best customer experience for the modern energy consumer by using technology. We are a digital energy provider that helps people reduce their electricity costs by optimizing their home and car's electricity usage with smart technology through lur Greenely an app.

We are now looking for a Senior Data Scientist who is passionate about sustainable energy and wants to be part of our journey to make the world more sustainable and help consumers reduce their energy usage!

The opportunity

As a Senior Data Scientist, you will play a pivotal role in shaping the future of energy optimization and flexibility at Greenely. You will be responsible for analyzing large data sets, developing energy models, and solving complex optimization problems to help leverage our virtual power assets.

Your challenge

Your daily work includes:

Identifying valuable data sources and integrating them for better energy modeling.

Analyzing large amounts of information to discover trends, patterns, and energy-saving opportunities.

Building predictive models, machine-learning algorithms, and optimization solutions tailored to energy challenges.

Presenting information using data visualization techniques and translating complex findings into actionable business strategies.

Proposing solutions and strategies to business challenges, especially in the realm of energy optimization.

Collaborating with product and engineering teams to implement models and monitor outcomes.

Tackling various types of optimization problems to ensure efficient energy utilization.

Challenging our thinking and push the boundaries of energy optimisation

Team and workplace

You will be collaborating with power-, data-, and software engineers to analyze data, build predictive models, and develop energy optimization strategies. Our office is located at Vasagatan 40 in central Stockholm, and we apply a hybrid workplace solution.

About you

To be successful in this role, we believe you have:

Proven experience as a Data Scientist, ML engineer or Data Analyst.

Strong skills in SQL, Python, and R.

A deep understanding of machine learning, operations research, and modeling.

Strong math skills, especially in areas relevant to optimization problems.

Experience with predictive modeling and experience in solving real-world optimization problems.

Excellent communication and presentation skills.

Master's or Ph.D. in Statistics, Mathematics, Computer Science, or similar fields.

Experience with business intelligence tools like Tableau is a plus.

Familiarity with Snowflake and experience analyzing data from 3rd party providers such as Google, Facebook Insights, etc., is meritorious.

We place high emphasis on your interpersonal abilities at Greenely. Greenely's strength is drawn from team members who don't just do their job, but who actively shape the way we work. We seek individuals who naturally take charge, own their responsibilities with pride, and consistently hold themselves accountable. We're searching for someone who can gracefully navigate change, who sees challenges not as obstacles but as puzzles waiting to be solved, and who values the collective success of the team.

About Greenely

Greenely is on a mission to create the best customer experience for the modern energy consumer by using technology. We are a digital energy provider, helping people to lower their electricity costs by optimizing their home's and car's electricity usage with smart technology in an app. Greenely, backed by Nordic venture capital firms, is on a mission to enable households across the world to connect, control, and optimize their energy usage. We ultimately believe that the best electricity is the one that is not being used at all, both for the wallet and the planet!

Ersättning
Lön enligt överenskommelse

Så ansöker du
Sista dag att ansöka är 2024-02-23
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Greenely AB (publ) (org.nr 556960-9794), https://www.greenely.se/

Arbetsplats
Greenely

Kontakt
Charlotte Englund
charlotte.englund@greenely.se

Jobbnummer
8089948

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