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Freelance Data
vor 2 Wochen
Lightly AG
is an ETH and HSG spin-off pioneering in machine learning and computer vision. Backed by Y Combinator and top-tier investors, our technology is used by global leaders in autonomous driving, medical imaging, and visual inspection.
With a small but sharp team in Zurich, we're looking for analytical and driven
Data & ML Experts
to help us
translate data-related tasks into AI-readable formats.
This role suits someone with a background in mathematics, data science, computer science, or data engineering with
experience in any of the following:
Product Data Science / Experimentation
Machine Learning Engineering (simple models, feature engineering)
Data / Business Intelligence Analysis
Data Engineering / Pipeline Development
The minimum expected time commitment for this position is
10 hours/week.
Tasks
You'll be a good fit if you have
2-3 years of experience
working at top firms in data or ML fields and experience in
at least some of the following
tools:
Command-line / Terminal use
SQL for querying structured data
Python (with Pandas, Scikit-learn, Matplotlib)
Jupyter Notebooks / Colab
Tableau, Looker, or Power BI for visualization
Spark, Hadoop, Kafka for big data processing
Cloud Data Warehouses (BigQuery, Snowflake, Redshift)
Specific tasks may include :
Analyzing and visualizing data to generate business insights
Designing and interpreting experiments (A/B tests)
Building, evaluating, and improving simple ML models
Developing and maintaining data pipelines and ETL processes
Creating dashboards and reports to track key metrics
Requirements
You're a strong candidate if you:
Are fluent in English
Have strong analytical and quantitative skills
and are confident working with dataCommunicate clearly and precisely
Are based in Zurich
Benefits
A front-row seat to how a YC-backed deep tech company is built
Direct exposure to the inner workings of startup leadership
Flexible working hours and the ability to shape your role over time
Competitive compensation tailored to experience and scope of work
Send us your
CV and a short note
about why this role excites you. If you've handled similar tasks before, we'd love to hear specific examples.
We look forward to hearing from you