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.
TasksYou'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
You're a strong candidate if you:
- Are fluent in English
- Have strong analytical and quantitative skills and are confident working with data
- Communicate clearly and precisely
- Are based in Zurich
- 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
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