Data Scientist

We are seeking a skilled and motivated Data Scientist to join our team and contribute to the development, implementation, and optimization of advanced algorithms and models. Your work will support key teams such as Field Operations, R&D, Flights, Simulation, Autopilot by automating workflows and enhancing decision support, mission planning, and situational awareness capabilities.

• Education:
  
  Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.

• Experience:
  
  3+ years of experience in data science and machine learning modeling, with a focus

• Experience in mission-critical applications such as field operations, situational awareness, or real‑time systems.

• Familiarity with tools and frameworks used in geospatial analytics and drone data processing.

• On time series analysis and ideally predictive modeling.

• Strong background in machine learning, data science, and analytics, with hands‑on experience in building and deploying models.

• Proven experience working with multi‑modal datasets, such as sensor data as time series, GIS data, text, and unstructured data.

• Solid understanding of data pipelines, model evaluation, and production‑level deployment.

• Excellent problem‑solving skills and the ability to work in a fast‑paced, collaborative environment.

• Design, build, and refine machine learning models and data‑driven solutions to address real‑world operational challenges.

• Work across the entire data science lifecycle: from problem scoping and prototyping to data annotation, model training, performance evaluation, and production deployment.

• Process and analyze diverse datasets, including but not limited to drone sensor data, geospatial (GIS) data, unstructured text, and other sensor modalities.

• Collaborate with cross‑functional teams, including engineering and domain experts, to ensure seamless integration of data science solutions into production environments.

• Drive innovation through experimentation, research, and continuous improvement of existing models and systems.

• Algorithm Development:
  Design, develop and implement state‑of‑the‑art algorithms and models, within the context of language models.

• Capability Development:
  Realise new AI‑based capabilities in areas such as decision support, mission planning, workflow automation, production data support and predictive modelling and maintenance.

• Model Training and Optimization:
  Train and optimise models using vast amounts of textual data, ensuring high performance and accuracy.

• Data Preprocessing:
  Perform data preprocessing tasks such as data cleaning, outlier detection, feature scaling, and feature encoding to prepare datasets for training and evaluation.

• Research & Innovation:
  Stay up to date with the latest advancements in machine learning both classical techniques and deep learning and proactively apply cutting‑edge methods to enhance existing models and develop innovative solutions.

• Collaboration:
  
  Work closely with data engineers, software developers, product managers and other stakeholders to understand project requirements and deliver effective solutions.

• Performance Evaluation:
  Evaluate the performance of models using appropriate metrics and techniques and iteratively improve their accuracy and efficiency.

• Deployment:
  Collaborate with engineering teams to deploy models into production environments and ensure their robustness and scalability.

• Documentation:
  Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

• Proficient in Python, with hands‑on experience using libraries such as Num Py, Pandas, Sci Py, and scikit‑learn for data analysis and modeling.

• Strong experience with…