Data Scientist

About SkySpecs
SkySpecs is simplifying renewable energy asset management by offering purpose-built technologies and services that help our customers deliver industry-leading productivity, efficiency, and returns. Every day we help our customers unlock the power of their data so they can make confident, informed decisions. Our team brings deep industry experience and a willingness to get our hands dirty to first understand and then solve customer problems on the ground.

SkySpecs launched the world’s first completely autonomous blade inspection product in 2016 with a custom-designed drone system. Since then, SkySpecs has inspected over 90% of the wind turbines in the US and we’ve expanded globally, becoming the world leader in offering solutions for managing the health of renewable energy assets.

What will I be getting myself into?
SkySpecs will probably be unlike any place you’ve ever worked. The second you walk in the door (or log in, if you are remote), you will feel the high-energy environment filled with brilliant people solving hard problems. SkySpecs values collaboration, multidisciplinary problem solving, and a mantra of ‘underpromise, over-deliver’. SkySpecs is in a critical growth period with endless opportunities to make an impact.

As a Data Scientist, you will:
join our international team of software engineers, data scientists, and domain specialists. Our team members are located around Europe and worldwide, and we use a unique distributed model allowing everybody to work wherever they prefer and with a high level of flexibility. We are innovative, creative and excellent at what we do, and can offer a very challenging and exciting working environment. Please apply if you are interested in joining us to develop best-in-class analytics solutions in a fast-growing industry.

Your objectives will be:

• Utilize statistical techniques and machine learning algorithms to analyze large datasets related
  to wind energy, turbine performance, and environmental factors.
• Develop predictive models to forecast wind energy generation, turbine downtime, and other
  key performance indicators.
• Create compelling data visualizations using tools such as Matplotlib, Seaborn, and Plotly
  Work closely with cross-functional teams including engineers, analysts, and product managers
  to identify opportunities for process optimization and performance enhancement.

Requirements:

• Proficient in Python programming language
• Proficient with data manipulation and analysis using Pandas library
• Handling large datasets, and managing missing or inconsistent data effectively.
• Applying data pre-processing and feature engineering techniques.
• Using version control systems like Git for collaborative development.
• Familiarity with data pre-processing and feature engineering techniques
• Experience with version control systems (e.g., Git)

Qualifications:

• Degree in a relevant field (e.g., Computer Science, Engineering, Data Science, or related
  discipline)
• Excellent communication and collaboration skills, fluent English language
  

Perks of the Job:

• Generous Leave Plan that is probably the best in the industry
• Well-defined training budget to upskill based on interest areas
• Flexibility: We have a trust-based culture. Practically, if you need to work from home to manage
  your work-life balance, you are free to do so.
• Global Diversity: You get to work with teams from 5 different countries and multiple
  nationalities.