Junior Data Scientist (m/f/d)
Lavoria (PI), IT
About Enapter and what we do:
Enapter is a rapidly-growing energy technology company with offices in Italy, Germany and Thailand. We develop and produce Anion Exchange Membrane (AEM) electrolysers that enable low-cost green hydrogen production at any scale.
Enapter’s mission is to make green hydrogen affordable and accessible to all. We are an international team that is united by a common vision and guided by our core principles – Urgency, Simplicity and Transparency. To find out more, please visit our company page (www.enapter.com/about).
We are in search of a Junior Data Scientist to join our Data Solutions team in Pisa, Italy. As a Data Scientist, you will be engaged in mining, reorganising, and manipulating data, as well as develop new solutions into our cloud-based platform. You will work closely with various teams, including R&D Testing, Chemistry, Production and Quality, and Customer Support, providing analysis support to identify issues and troubleshoot them.
If you are as passionate about changing the world as we are then you are in the right place!
What role will you play in building a green hydrogen future?
- Mine data from primary and secondary sources and interpret them using statistical tools;
- Design and develop new data solutions for stakeholders, such as Customers, R&D, Sales and Customer Service;
- Develop predictive models using machine learning and/or deep learning techniques;
- End-to-end management of analytical projects: from ingestion to visualization, through data processing and communication of analysis results;
- Collaborate with other teams to troubleshoot issues;
- Create dashboards and insights to enable business decision making;
- Design and implement data strategies and systems by establishing a data-driven mindset and decision-making process;
- Collaborate with developers, engineers, and organisational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance;
- Maintain current Python Dash/Voila-based app deployments to ensure their smooth operation and functionality.
What do you need to help make our goals a reality?
- First things first: Enthusiasm for the part green hydrogen will play in tomorrow's world and Enapter's role in it;
- University degree in Engineering, Chemistry, Mathematics, Computer Science, or related fields;
- Strong analytical thinking and problem-solving skills, business acumen and ability to understand and address business requirements;
- Experience in programming/data manipulation and analysis using tools such as SQL, Python, R, or similar languages. Experience with deep learning packages such as TensorFlow, Keras, and PyTorch is a plus;
- Methodical and logical approach together with strong numerical reasoning skills;
- Familiarity with statistical concepts and techniques;
- Committed to fostering a respectful, friendly and collaborative team atmosphere;
- Excellent time management skills that enable you to meet tight deadlines;
- A strong attention to details;
- Solutions focused approach to problem solving;
- General understanding of big data analysis approaches and specifics is a plus;
- General understanding of containerisation, orchestration and deployment systems is a big plus;
- Knowledge of industrial acquisition systems and their integration in laboratories and cloud platforms is a plus;
- Familiarity with data visualization tools such as Tableau, Power BI, or similar software;
- Ability to effectively communicate and influence others across all levels of the organization to drive transformational change;
- Good written and verbal communication skills in English. German and/or Italian is a plus.
Why you’ll look forward to working with us:
- You’ll have the opportunity to help shape the future of energy in one of the most dynamic companies in the hydrogen industry
- The vision and the people: That's what our colleagues say they love the most about Enapter
- We love flat hierarchies and being able to collaborate with each other no matter what your role
- We want you to feel that you’re making a real difference, so you’ll have creative freedom and flexibility in how you work
- Working on an empty stomach is the worst. We offer lunch tickets and have restaurants close by that are affiliated. We also have kitchens with coffee machines to get your coffee fix!
- Optional access to health insurance to cover those unexpected visits to the doctor or specialist and optional access to a pension fund to help support your future savings goals! (In line with the current “C.C.N.L. settore Industria Chimica ” - National Collective Bargaining Agreement for the Chemical Industry sector)
- We want you to feel like part of the crew – because you are! All newcomers get decked out in Enapter merch that has been sustainably selected and sourced
- We celebrate our success together… often! You’ll frequently see snacks and healthy treats in the office
- An exciting working environment at our original R&D and production facility just outside of Pisa
We offer all the basics anyone can expect:
A competitive salary package based on the market and what you bring to the table, paid sick leave for both your physical and mental health and 33.5 days paid leave (including holidays, permissions and ROL) per year.
Think we might be the right fit?
Even if you don’t meet all of the requirements we’ve mentioned please still apply! We are always on the lookout for new talent and for those who are passionate about what we do!
We know that diverse groups are more productive and creative! As a company with a focus on R&D and rapidly implementing innovative technology, this is particularly important to us and why we embrace and celebrate diversity. We explicitly welcome any application that brings additional perspectives to Enapter. If you believe that you can draw from your unique background and experiences to bring something new to our team, please tell us about it. We look forward to hearing from you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Chemistry Computer Science Data analysis Data governance Data visualization Deep Learning Engineering Industrial Keras Machine Learning Mathematics Power BI Python PyTorch R R&D SQL Statistics Tableau TensorFlow Testing
Perks/benefits: Competitive pay Transparency
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