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About the job

Here at Dott, we believe in a future where our cities are free from cars and pollution. With our on-demand e-bikes and e-scooters, we want to help co-create liveable cities where space is given back to people. We dream of cities where it is easy to move from one place to another with less congestion and more socialisation. All work we do is to continue reaching for our mission, to free our cities with clean rides for everyone.

Though founded in Europe, our passionate, mission-driven people come from over 55 countries globally. With such representative employees working in over 9 countries, we can better meet our users’ diverse needs. We collaborate with each other, transportation providers, and city officials to ensure what we do today has a tangible impact on tomorrow. Moreover, each employee is equally invested and accountable for making each decision socially and environmentally sustainable.

At Dott, our data scientists are active across a wide range of functions, offering both advanced analytical support to business stakeholders alongside building large scale data products to support operations. We’re a pragmatic team that likes to use the best tool for the job, which currently includes Bayesian modelling and more standard machine learning approaches.

What You’ll Do

• Work collaboratively within the data science team on refining our existing data products, for example in geospatial demand forecasting or vehicle reliability monitoring where we have active applications and research programs.
• Help develop the engineering around our data science and Machine Learning pipelines, working end-to-end in delivering solutions.
• Get to know our operations intimately, be a problem solver and propose solutions where you see a need for advanced analytics.
• Leverage Google Cloud Platform for analytics and deploying data products.

What You’ll Need

• 2+ years of experience in a data science or analytics function.
• A masters degree in a quantitative field.
• A scientific mindset. Curiosity to understand complex systems and a drive to use that understanding to solve problems. We’re looking for someone with a good grip on their statistical fundamentals.
• Familiarity with SQL. Our data projects revolve around our BigQuery data warehouse.A solid understanding of python and an interest in building end-to-end data science products in the language.
• Excellent communication skills, verbal and written.
• Well-versed in Git and some experience with deploying things through CI/CD pipelines

Nice to have

• Familiarity with plotly dash for analytical applications is a plus.
• Familiarity or an interest in learning probabilistic programming languages such as pyMC3 / STAN / (num)pyro is a big plus.
• Experience with applying Bayesian statistics is a big plus

What Is Our Employee Value Proposition (EVP)

We embrace change in our cities, our work, and ourselves. We empower each other to make a lasting impact. We spark meaningful connections by fostering a supportive community. We succeed by adapting the way we work. Unlock the Change

Check out our EVP Video here (bit.ly/3ZHHvlR)

Benefits & Policies*:

🚀 Employee Stock/Equity plan

💰 A fair, mid-market salary package

🧑‍💻Weekly All-hands meetings

🧘 Mental health support with Open-up

🫂Employee Resource Groups

🪹Pension scheme

👶 Parental policies

🏡 Hybrid Work Policy

🌎 Short-term Remote Work Policy

🏞️ Sabbatical Policy

🪑 Work from home budget

(* benefits will vary based on the country and position)

Sustainability Statement

We continuously measure and improve our environmental and social impact. We’re not claiming we’ll save the world, but we’re relentlessly striving to do the right thing for people, cities, and the planet. We’re constantly putting the environment and our social impact at the heart of every business decision. For more information on our sustainability, check out our Sustainability Report & Manifesto (bit.ly/3KB9dwq) .

Equity, Diversity, and Inclusion (ED&I) Statement

Dott is an equal-opportunity employer and aims to be intentional in our ED&I strategy. We operate throughout Europe in the hometowns of countless people, including our employees. To truly free OUR cities, we must have a workforce that not only understands the unique needs of our cities but also represents the diversity within them. To support all our employees to be their authentic selves, we have a zero-tolerance policy for discrimination and harassment in any regard.

Data Privacy

At Dott, we respect fundamental privacy rights. We process your personal data per the requirements of the General Data Protection Regulation (“GDPR”). Read our Applicant Privacy Statement for a clear explanation of how we process your personal data.