Senior Data Scientist - Demand Forecasting (f/m/d)

VOIDS — Hamburg, DE
Published on

About the Role

At VOIDS, we maximize product availability with minimal cashflow investment and solve real problems for SMEs using AI. As a Senior Data Scientist focusing on Demand Forecasting, you’ll own our core product that currently forecasts substantial yearly revenue for our customers. Your responsibilities include leading the development of the forecasting engine, designing scalable methodologies, and actively engaging with our diverse customer base to ensure our solutions meet their evolving needs.

About the Candidate

We seek driven individuals with fluent English communication skills and a proactive ownership-oriented mindset. The ideal candidate will have:

  • 5 years of Data Science experience, with at least 2 years in time series forecasting.
  • Proven experience in Python, focusing on data science libraries and tools.
  • A strong background in building and maintaining pipelines and APIs. Bonus skills include familiarity with eCommerce, data engineering, and larger data handling technologies.

About the Company

VOIDS is the leading forecasting and inventory management software solution for D2C brands. With a strong history of success stories, including partnerships with prestigious names like FC Bayern, we strive to enhance inventory efficiency and profitability for our e-commerce clients. Since launching in 2023, we've seen impressive growth and aim to double our ARR by 2025.

Company Culture and Benefits

At VOIDS, we emphasize AI-driven productivity, empowering our team to leverage cutting-edge tools. We foster a fast-paced, autonomous work environment, emphasizing continuous learning and support. Benefits include:

  • Permanent full-time contract
  • Competitive salary (€90,000–€110,000)
  • Equity for senior hires
  • 30 days paid vacation
  • Regular team events and quarterly off-sites

Hiring Process

Our hiring process is efficient and straightforward, starting with an initial screening followed by a technical interview with the CTO and a realistic live coding challenge. Expect an offer within two weeks of applying. Apply now to join our mission to revolutionize forecasting for e-commerce.

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