Stellenbezeichnung: Senior Data Scientist
Firma: one.five GmbH
Arbeitsort / Location: Holm, Schleswig-Holstein
Job Beschreibung: The Role
As a Senior Data Scientist / Applied Machine Learning Engineer, you will use your skills to design and implement the advanced machine learning services that will power our internal Material Science Platform.
This role reports to Marta Rodriguez, Head of Software and Data, and has as key stakeholders other data and software engineers, as well as team members throughout the company.
Given the remote first nature of our team, this role can be based anywhere but willing to work approx UTC/UTC+1 core hours, in order to overlap with the bulk of our European based team.
How you’ll help build one • fıve
Develop our core machine learning services
Design, develop and implement end-to-end ML projects (NLP, LLMs, Predictive modelling) to establish our core ML platform
Evaluate the performance of machine learning models using appropriate metrics and fine-tune them to achieve optimal results.
Document the design, development, and deployment processes of machine learning models.
Coordinate ML requirements with stakeholders
Surface requirements to other teams (data engineers, domain experts and software engineers) to ensure data harvesting and processing aligns with our ML needs
Give guidance to other team members on data-management and processing best practices.
Be our ML champion
Stay up to date with the latest advancements in NLP and LLM research and apply them to improve the performance of our models.
Use your knowledge to guide the development of our ML strategy.
Who you are
A Bachelor’s or Master’s degree in a relevant field
5+ years of experience developing and implement machine learning models
Experience with Deep Learning or LLMs is a plus
Experience developing and deploying machine learning models in production (end to end development)
Strong programming skills in Python and SQL, familiarity with the usual ML stack
Strong problem-solving skills and ability to work independently in a remote set up
Experience implementing and coordinating with domain experts in multifunctional environments
Experience spearheading ML and data-heavy projects
Fluency in English, as this is our working language
one • fıve values
Duty to care: care for yourself, your colleagues, your work, our offices, and ultimately, our planet
Create with intent: work with a goal in mind. Ask yourself what you are trying to achieve and constantly evaluate whether your current path is the best way to achieve this goal
Acknowledge the process: we celebrate our failures and successes together, and keep iterating to improve
Transparency: all knowledge is accessible to everyone
Hiring Process
We want you to know what to expect out of your candidate experience with us and make this as much as possible a two sided process, allowing you to get to know us as well.
Once submitted, your CV will be reviewed by the People team, and shortlisted for interviews.
Everyone will be contacted to find out the outcome of their application.
There will be three interview stages:
Introduction call with VP People – to share more about one.five and how we work & find out how that meets your experience and expectations of the role
Technical interview with Head of Software & Data – to dig into the day to day of the role more and answer any questions you may have for us. You will also be asked to present a short demo of an ML project at this stage.
Meet the team interview with selection of Data Engineers & Software Developers – introduction to key stakeholders in the business and build your understanding of your future function
Diversity & Inclusion
We are very proud of the culture we have built to support diversity & inclusion and will do everything we can to continue to be an inclusive company where all team members are comfortable, supported and empowered to succeed.
We seek to ensure that all employees are afforded equal opportunities and treatment, irrespective of any qualifier, in all aspects of recruitment, employment, training and determination of benefits.
For sake of clarity, all team members and candidates will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.
If you require any accommodations for the interview process, please include them in your application or in scheduling requests for a first call.
About us
Protecting our planet by developing materials for clean & closed material loops.
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