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Senior Data Scientist

flaconi

Berlin, Germany · Full Time

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Experience
3+ yrs
Salary
EUR 60,000 – EUR 80,000 / year
Openings
1
Posted
1 week ago
Work mode
In office
Resume
Required to apply

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Job description

About the Company

At flaconi, we embrace diversity as a foundation of creativity, innovation, and growth, celebrating beauty in all its forms. Our team includes individuals from varied backgrounds, cultures, and experiences, united by a passion for beauty. Our values emphasize trust in people, fostering an inclusive environment where every employee feels valued, heard, and empowered to contribute their unique viewpoints, supporting a sense of belonging.

flaconi is an equal opportunity employer committed to inclusivity regardless of ethnicity, race, gender identity, migration background, origin, disability, sexual orientation, religion, or age. We offer accommodations throughout the application and interview process as needed to ensure equity.

Role Overview

We are looking for a Senior Data Scientist to join our data team in Berlin. As part of a six-member DATA team, you will work on diverse challenges including training and deploying machine learning models, creating Generative and Agentic AI solutions, and conducting statistical modeling. Operating in a flat hierarchy, you will collaborate with colleagues of various experience levels in a stimulating environment. You will lead your projects end-to-end, partnering closely with business stakeholders to extract actionable insights and develop AI and data-driven solutions that enhance our European e-commerce operations.

Key Responsibilities

  • Apply statistical and machine learning methods such as regression, classification, and clustering, utilizing models like Gradient Boosting, Random Forest, Hierarchical Clustering, and ensemble techniques.
  • Design, develop, and deploy Generative AI and Agentic AI applications using advanced NLP technologies based on transformer models like BERT and GPT.
  • Implement time-series forecasting approaches including ARIMA, LSTM, DeepAR, and Prophet for predictive analytics.
  • Perform exploratory data analysis, advanced feature engineering, and dimensionality reduction techniques like PCA and t-SNE.
  • Build and optimize deep learning models with frameworks such as PyTorch, TensorFlow, or Keras, incorporating transfer learning methods.
  • Develop AI solutions addressing core e-commerce problems such as demand forecasting, customer churn and lifetime value modeling, pricing strategies, customer segmentation, recommendation systems, and personalization.
  • Manage large-scale data using Apache Spark and a technology stack including Python (PySpark, pandas, NumPy, scikit-learn, LightGBM), SQL, Databricks, AWS services (S3, Lambda, EC2, SageMaker, Bedrock), GitHub, and AI-augmented development tools like Claude and Copilot, engaging directly with stakeholders to meet their business needs.

Candidate Profile

  • At least 3 years of practical experience building and deploying machine learning solutions for business applications.
  • Experience in e-commerce environments preferred, with consideration for backgrounds in fintech or high-paced agencies.
  • Proficient in using Databricks as a Data & AI platform, with familiarity in cloud platforms such as AWS, GCP, or Azure.
  • Hands-on experience in developing and productionizing Generative AI or Agentic AI projects.
  • Knowledgeable in MLOps methodologies and associated tools for managing the full lifecycle of models.
  • Strong expertise in foundational data science concepts, advanced competency in SQL and Python scripting (including PySpark, scikit-learn, NumPy, pandas, matplotlib), and experience with AI-augmented coding assistants.
  • Excellent English communication skills, both written and spoken, capable of explaining complex technical topics to non-technical stakeholders and taking full ownership of projects while collaborating effectively within a team.

Compensation and Benefits

  • Permanent employment contract with coverage for the Deutschland ticket public transit pass.
  • Work-life balance with 29 vacation days plus additional days off on December 24 and 31, flexible working hours, up to three remote workdays per week, opportunities for working abroad, and paid sabbaticals.
  • Professional growth through the flaconi Academy offering internal and external training options for career development.
  • Support for mental health via counseling sessions available to employees and their close relatives.
  • Access to a variety of sports activities and discounts through flaconi fitness programs.
  • Family support including an emergency daycare service at the office for unexpected child care needs.
  • A company pension scheme subsidy with an additional 20% match on your contributions.
  • A modern comfortable workspace with high-end technical equipment, free fruits and drinks, casual dress code, and dog-friendly facilities.
  • Additional perks including employee discounts on flaconi and partner products, team events, and company celebrations.

Additional Information

Founded in 2011, flaconi employs more than 700 people representing over 60 nationalities, with headquarters in Berlin-Charlottenburg and a fulfillment center in Halle. flaconi does not accept unsolicited resumes from recruiters and encourages direct applications only.

AI Notice: Our recruitment process incorporates AI-assisted tools for application prioritization and candidate matching; however, all decisions are made by human recruiters under strict AI governance and regular bias checks. Contact our Talent Acquisition team for any inquiries.

Salary Range

The annual brutto salary offered ranges from €60,000 to €80,000, adjusted according to recruitment outcomes.

Level

Senior

Industry

E-Commerce

Tools & software

PyTorch TensorFlow Databricks · 2 to 5 years required

How they work

Communication Teamwork & Collaboration Accountability

Languages

Servicenow

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