Description:

alcemy is focused on reducing the CO2 footprint of the cement and concrete industry, which is responsible for around 8% of global CO2 emissions.
The company leverages machine learning to provide smart production control software to improve efficiency and enable the production of low-carbon cement and concrete.
The software is used 24/7 in cement and concrete plants to optimize production and reduce carbon emissions.
The role involves ensuring customers can successfully use the product from a technical perspective, contributing to customer satisfaction and company growth.
Responsibilities include improving internal processes, developing data tools, preparing customer data for machine learning models, and collaborating with the Customer Success and Product teams.
Within the first month, the new hire will complete onboarding, clone the production tech stack, learn about cement production, and deploy code to production.
Within three months, they will implement data ingestion, configure the machine learning pipeline, and identify improvements in the customer data journey.
Within six months, they will estimate the scope of new features, present data-driven insights, and contribute to the tech stack.

Requirements:

A strong commitment to tackling climate change and making a meaningful impact.
Experience as a data scientist with an inquisitive thinking style to investigate complex data.
Proficiency in Python (including its data science stack) and SQL (PostgreSQL).
A good understanding of machine learning, ideally with time series data.
Experience with testing code, using the command line, git, and modern CI/CD pipelines.
Ability to create insightful data visualizations that communicate clear messages.
Experience managing projects and dealing with internal and external stakeholders.
Strong communication skills, both verbal and written, with patience for non-technical individuals.
A team player who enjoys helping team members excel, is detail-oriented, organized, and diligent.
Fluency in English in a professional setting and based in Germany.
Preferred qualifications include fluency in German or another European language, experience with Grafana, and familiarity with AWS, terraform, and Kubernetes.

A company culture emphasizing honesty, professionalism, integrity, and open feedback.
Flat hierarchies and efficient decision-making processes within an agile structure.
Competitive market-rate salary aligned with experience and VSOP equity options.
Flexible remote work options within Germany or from the Berlin office, with a Berlin-based contract.
Free drinks, fruit, and snacks in the office, along with regular team activities.
Provision of a Mac or Linux laptop and a budget for personal and professional development.
28 days of vacation per year, with an additional day every two years.
Access to nilo.health for mental well-being support and heynanny for childcare and eldercare services.
A dog-friendly office environment with specific rules in place.
Regular knowledge-sharing through internal masterclasses.