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

Cherry Ventures; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading investment firm in Berlin seeks a Sr. Data Scientist to build ML/AI systems that drive revenue across various industries. The role demands strong ML fundamentals and production experience in a dynamic, modern environment. Key responsibilities include model ownership and tackling complex data challenges. The ideal candidate has experience with irregular time series and distributed computing, alongside a pragmatic approach to business problems.

Qualifikationen

• Proven record with irregular time series and hierarchical data.
• Experience with multi-tenant ML and actionable insights.
• Comfort with ambiguity in problem-solving.

Aufgaben

• Build ML/AI systems impacting revenue in various industries.
• Own end-to-end model process from definition to deployment.
• Handle complex challenges with sparse data and optimization.

Kenntnisse

Strong ML fundamentals

Production experience

Distributed computing

Problem-solving from first principles

Business pragmatism

Tools

PySpark

SQL

Python

Databricks

AWS

Jobbeschreibung

Overview

Cherry Ventures is supporting our portfolio with this hire.

Berlin based - m/f/d - full-time

About 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.

Responsibilities

• 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

• Intro conversation
• Live coding
• Technical/case study
• 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.