About the role
Data Analytics & Data Science: Analyse flight logs, telemetry and mission data to answer engineering questions - e.g. flight performance, anomaly detection, post-flight review, test and validation analysis; Machine Learning: Identify where ML adds value for the team, then build, evaluate and iterate on models - from quick baselines to production candidates - together with Data & AI's data science and ML engineering teams; Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Aerospace or Electrical Engineering, or a related field
- Experience : 3+ years of hands-on experience delivering data, analytics or ML solutions end to end, in a data science, ML engineering, data engineering or similar role - ideally including time spent working directly with end users or customers
- Strong skills in exploratory data analysis, statistics and visualisation, especially on time-series, logs or sensor data
- Strong SQL and Python data stack (pandas/Polars, NumPy, Jupyter)
- Hands-on experience training, evaluating and iterating on ML models (e.g. scikit-learn, PyTorch), including choosing the right metrics and validation approach
- Good judgement on when a model is the right answer and when a simpler analysis or rule is enough
More about this role
As a Forward-Deployed AI Engineer, you will bring the full range of Data & AI expertise - data engineering, data analytics, data science and machine learning - directly into a UAV platform team. You will sit with the engineers and operators who design, test and fly our aircraft in Caldas da Rainha, understand their problems first-hand, and turn them into working data and AI solutions, fast.
You will work with flight logs, telemetry, video and mission data; analyse them to answer engineering questions; build models where they add value; and package the results as internal tools, dashboards and integrations with our mission and ground control software. You will be the bridge between the platform team and Data & AI: bringing in Data & AI's platforms, models and specialists, and feeding the team's needs and domain knowledge back into Data & AI's roadmap. You will work AI-first, using AI-assisted development tools such as Claude to prototype quickly, validate with users, and harden what proves useful.
We are looking for a deeply technical generalist - a data scientist, ML engineer or data engineer with strong software skills - who enjoys working close to the product and the people...
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