Data Scientist - Remote Freelance Sydney (m/f/d) - Sydney Team

7Learnings; Berlin; Remote; EUR 51.000 - 102.000; Vollzeit

Zusammenfassung

7Learnings is seeking an autonomous Freelance Data Scientist based in Sydney to work approximately 10 hours per week, owning the intersection of predictive decision-making and high-quality software for our local operations. You will be the custodian of our product's localized evolution, ensuring ML-driven engines are sound, optimized, and engineering-resilient.

Working remotely from Sydney, you will support our clients in the region while collaborating with our Berlin-based core engineering team

Qualifikationen

• Bachelor’s or Master’s degree in a quantitative field.
• Minimum 3 years as data scientist with customer exposure.
• Hands-on ML and data science experience.
• Experience with version control and ML stack (Git, TensorFlow, GCP, SQL/BigQuery).
• Excellent communication and stakeholder management.
• Professional English (C1).
• Based in Sydney, able to work remotely.

Aufgaben

• Leverage analytical skills to support retail optimization projects.
• Experiment with ML models to forecast sales and costs.
• Interface with retailers to improve the 7Learnings software.
• Collaborate closely with our engineering team.
• Optimize data pipelines and predictive model codebases.
• Support monitoring and exploration of large-scale datasets.

Kenntnisse

DS experience

ML experience

Python

Communication

Remote work

Independent work

Ausbildung

Bachelor's or Master's in quantitative field

Tools

Git

TensorFlow

GCP

SQL

BigQuery

Jobbeschreibung

About the role

We are looking for an autonomous Freelance Data Scientistbased in Sydney to work approximately10 hours per week, owning the intersection of sophisticated predictive decision-making and world-class engineering for our local operations. In this role, you won't just run standard scripts; you will be the custodian of our product's localized evolution, ensuring our AI-driven decision engines are mathematically sound, highly optimized, and engineering-resilient. You will be working remotely from Sydney, supporting our clients in the region.
Working closely with our core engineering team in Berlin, you will translate complex, real-world retail challenges into scalable, high-performance software solutions directly impacting our clients on the ground. As our dedicated data science resource in Sydney, you are the engine of 7Learnings’ regional presence. Our product relies on the perfect harmony between complex algorithms and stable software; you will be responsible for ensuring that our technical execution remains flawless, technical debt remains low, and model accuracy remains exceptionally high, all within a focused commitment of approximately 10 hours per week.

Your mission

• Leverage analytical skills to support retail optimization projects.

• Experiment with Machine Learning models to forecast sales volume and costs.

• Interface with retailers to continuously improve the 7Learnings software.

• Collaborate closely with our engineering team.

• Optimize our data pipelines and predictive model codebases.

• Support the monitoring, measurement, and exploration of large-scale datasets.

Your profile

• Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field.

• Min. 3 year experience as DS and independent work with customers.

• A results-oriented, pragmatic mindset.

• Hands-on experience in machine learning and data science.

• Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery.

• Strong project management skills, with prior experience or a strong interest in e-commerce and the fashion industry.

• Exceptional communication and stakeholder management abilities, with a proven track record of explaining technical concepts to non-technical audiences.

• English: Professional working proficiency (minimum C1 level).

• You are located in Sydney.

What we offer?

• Flexible working hours
• 100% remote work
• 30 vacation days per year
• Culture of trust and regular, constructive feedback
• High degree of personal responsibility