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(Senior) Data Scientist (f/m/d)

Re:Cap

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A distancia
EUR 70.000 - 100.000
Hace 16 días
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(Senior) Data Scientist (f/m/d)
Re:Cap
Alemania
A distancia
EUR 70.000 - 100.000
Jornada completa
Hace 16 días

Descripción de la vacante

A leading capital management platform is seeking a Senior Data Scientist to build data-driven features and enhance financial insights. The successful candidate will develop machine learning models and collaborate closely with engineering teams. This remote-first role offers competitive stock options and a flexible work environment, along with opportunities for professional growth.

Servicios

Stock options
Flexible working hours
25 vacation days
Latest tech equipment
Health insurance for business trips

Formación

  • Experience with the end-to-end lifecycle of predictive/prescriptive models.
  • Strong skills in data modeling and SQL.
  • Experience using the Python ML and DS ecosystem.

Responsabilidades

  • Build data products for customer-facing applications.
  • Own the full lifecycle of machine learning models.
  • Explore and analyze complex datasets for actionable insights.
  • Collaborate with Product, Engineering, and Commercial teams.

Conocimientos

Data modeling
SQL
Python ML and DS ecosystem
Cloud infrastructures (GCP, AWS, Azure)
Orchestrating technologies (Dagster, Airflow, Luigi)
Data warehousing (BigQuery, Snowflake, Databricks)
ELT technologies (Airbyte, Fivetran)

Educación

4+ years of experience in Data Science and/or ML Engineering
Descripción del empleo

remote - Germany, Spain, Czech Republic, Portugal, Slovakia or Austria

About us

We are Europe's leading platform helping founders manage and obtain capital. Built by experienced entrepreneurs. Powered by tech- and finance-driven minds. Backed by top-tier venture capital investors.

Our platform - the Capital Operating System - delivers clarity, guidance, and seamless access to capital. It empowers founders to make smarter financial decisions and puts them in control at every step.

Our values

We value flat hierarchies, full ownership and responsibility. Trust and open, honest communication are crucial to us, as it makes everything else easier. We work together and grow as a team.

Focus on Execution: We love and live off great ideas, but to create value we need to focus on execution.

Don't Fear Failure: We know that failure is an innate part of learning and success, so we value these experiences and take them as opportunities to try again and get better.

Trust Your Team: We trust our peers to do their best to achieve our shared goals, support each other and share their feedback so we can all grow and develop.

What will you do

As a (Senior) Data Scientist at re:cap, you will build, ship, and own data-powered features that drive our funding products and SaaS applications. You\'ll turn financial data into reliable features, develop and productionize models, and collaborate closely with Engineering and Product to deliver measurable value for our customers.

Your contribution to our success
  • Data Product Development: Build data products that are tightly integrated into our customer-facing applications, together with our Engineering team
  • Machine Learning and AI Implementation: Own the full lifecycle of machine learning models and AI solutions to automate financial operations for our customers and generate insights
  • Analytics & Decision Support: Explore and analyze complex datasets to generate actionable insights, define metrics, run experiments, and communicate clear narratives that inform product and commercial decisions
  • Cross-Functional Collaboration: Work closely with our Product, Engineering, and Commercial teams to integrate data solutions into our SaaS platform and funding products
  • Stakeholder Management: Engage with key stakeholders across the organization to understand their data needs and ensure that data initiatives support their objectives
  • Mentorship & Knowledge Sharing: Mentor teammates, lead by example through code reviews and documentation, and help evolve our data platform and working methods
Who we are looking for
  • You have 4+ years of experience in Data Science and/or ML Engineering
  • You have extensive experience with the end-to-end lifecycle of predictive/prescriptive models, from problem framing and data discovery through production deployment and ongoing monitoring and maintenance. This includes:
    • Strong data modeling and SQL skills
    • Extensive experience using the Python ML and DS ecosystem
    • Familiarity with cloud infrastructures (GCP, AWS, Azure)
    • Experience with orchestration (Dagster, Airflow, Luigi), warehousing (BigQuery, Snowflake, Databricks), and ELT (Airbyte, Fivetran) technologies
  • You can quickly build a prototype, but you are also capable of incrementally evolving it into a production-ready application
  • You have built and shipped LLM-powered features using techniques such as retrieval-augmented generation, similarity search, structured extraction, and routing
  • You can structure and optimize processes to measure and continuously enhance data quality and machine learning pipelines
  • You understand data architectures that can handle high-volume data pipelines and analytics
  • You are innovative and forward-thinking, with a passion for leveraging technology to enhance financial insight
  • You have a collaborative mindset and thrive in a dynamic startup environment
  • You are fluent in English, German is a plus
  • You have a valid EU work permit and reside within the EU. re:cap does not offer visa or relocation support at the moment
What you can expect
  • Remote first. Our team is located all over Germany and Europe, with the flexibility of 100% home office. However, if you are in Berlin you are more than welcome to come around the office and maybe even bring your furry friend
  • Stock options. Every employee receives stocks, because our success is also your success
  • Development opportunities. Because we care about your growth, we have regular feedback talks as well as set paths for the development of each employee
  • The latest tech equipment. Every new team member receives an Apple MacBook Air to guarantee smooth productivity
  • Flexibility. We offer flexible working hours and value asynchronous communication as well. On top we offer 25 vacation days
  • Team building. Meet the team at in-person on-sites, get a buddy to fully integrate into the company and join other team events
  • Workation. Experience the blend of work and leisure with our worldwide new benefit catering to your work-away-from-home needs
  • International health insurance for business trips and workation. We prioritise your well-being and guarantee you comprehensive insurance cover, no matter where your travels take you
  • We care about security. You will receive 1password family membership
  • Choice. You get a monthly budget to finance a benefit of your choice

Even if not all of these points fit 100% we encourage you to apply! We hire also for attitude, not just for knowledge and are looking forward to hearing from you soon.

What comes after you apply?

What comes after you apply? Easy steps for a smooth hiring process

  1. Application Review
  2. Get to know re:cap
  3. Case study/Take home Assignment (depending on the position)
  4. Role-specific Interview
  5. Get to know the team
  6. Offer

We are committed to foster a diverse and inclusive workplace where we provide equal opportunities regardless of age, gender identity, disability status, ethnicity, sexual orientation, or religion. Therefore we encourage you to apply as all qualified applications will be taken into consideration.

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* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.

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