(Senior) Data Scientist / AI Engineer - SaaS VC Backed startup

Posted 22 Days Ago
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Berlin
In-Office
Senior level
Angel or VC Firm
The Role
As a Senior Data Scientist, you will design and implement ML/AI models for various industries, focusing on production AI that drives revenue impact. Responsibilities include end-to-end ownership and handling complex data challenges.
Summary Generated by Built In
Cherry Ventures is supporting our portfolio with this hire.Berlin based - m/f/d - full-timeAbout Plato

Plato is the AI-powered Sales Intelligence platform for B2B wholesale. We turn reactive sales teams into proactive revenue engines by surfacing hidden opportunities in their data: who’s at risk, who’s ready to buy more, and what products to recommend next.

Wholesale is unlike e-commerce or SaaS: sparse data, huge transactions, complex catalogs, and long-term relationships. Our models help sales reps know which of their 200 customers to call today - insights that can save a €2M account or unlock €50K in new monthly revenue.

The Role: Sr. Data Scientist

Build ML/AI systems for industries from construction to steel wholesale. This is not off-the-shelf ML: you’ll design models where success = revenue impact, not just accuracy.

You’ll work on:

  • Production AI at Scale: ML models across millions of transactions, 20+ enterprises, 500K+ SKUs.
  • End-to-End Ownership: From definition to deployment, evaluation, and A/B testing.
  • Complex Challenges: Sparse data, extreme imbalance, multi-objective optimization, scaling from SMBs to enterprises.
What Makes You Successful
  • Strong ML fundamentals, production experience, distributed computing, and solid engineering practices
  • Problem-solving from first principles, comfort with ambiguity, and business pragmatism
  • Proven record with irregular time series, hierarchical data, actionable insights, and multi-tenant ML

Bonus: B2B analytics, recommendation systems, supply chain, Databricks/Snowflake, MLOps, European context, German language.

Tech Stack

PySpark, SQL, Python, Databricks, scikit-learn, OpenAI, AWS, Terraform, MLflow.

How We Work
  • High ownership, low process: you ship end-to-end
  • Speed over perfection: ship v0, learn, iterate
  • Direct and intense: collaborate closely with product, sales, and customers
  • Small team, big impact: your models influence millions in revenue
What Makes This Role Unique
  • Business Impact: Models directly shape revenue and customer conversations
  • Depth + Context: Build explainable AI aligned with wholesale realities
  • Scale + Complexity: Multi-tenant challenges across vastly different customers
Work Environment
  • Modern Berlin-Mitte office, small elite team, direct access to founders and customers
Interview Process
  1. Intro conversation
  2. Live coding
  3. Technical/case study
  4. Meet team & founders

Cherry Ventures is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Top Skills

AWS
Databricks
Mlflow
Openai
Pyspark
Python
Scikit-Learn
SQL
Terraform
Am I A Good Fit?
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The Company
Berlin
42 Employees
Year Founded: 2012

What We Do

Cherry Ventures is an early-stage venture capital firm led by a team of entrepreneurs with experience building fast-scaling companies such as Zalando and Spotify. The firm backs Europe's boldest founders, usually as their first institutional investor, and supports them in everything from their go-to-market strategy and the scaling of their businesses. Cherry Ventures has previously invested in the seed stage of over 90 companies across Europe, including FlixBus, Auto1 Group, Flaschenpost, Forto, SellerX, Juni, and Flink. Cherry Ventures is located in London, Berlin, and Stockholm.

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