Freelance Data

vor 3 Wochen


Zürich, Schweiz Lightly AG Vollzeit

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 data Communicate 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



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