Mission:
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.
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.
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.
Capability Development: Realize new AI-based capabilities in areas such as decision support, mission planning, workflow automation, production data support and predictive modeling and maintenance.
Data Preprocessing: Perform data preprocessing tasks such as data cleaning, outlier detection, feature scaling, and feature encoding to prepare datasets for training and evaluation.
Programming & Data Manipulation:
Proficient in Python, with hands-on experience using libraries such as NumPy, Pandas, SciPy, and scikit-learn for data analysis and modeling.
Strong experience with data preprocessing, including handling of time series, unstructured, and geospatial data.
Machine Learning & Modeling:
Expertise in classical ML techniques (e.g., regression, classification, clustering) using scikit-learn, XGBoost, and other ensemble methods.
Solid understanding of deep learning architectures for time series analysis, including Transformers, RNNs/LSTMs, and CNNs.
Deep Learning Frameworks:
Proficient with frameworks such as PyTorch, TensorFlow, Keras, and TensorRT for building and optimizing deep learning models.
Experimentation & Development Tools:
Geospatial & Sensor Data:
Familiarity with geospatial libraries and tools such as GeoPandas, Rasterio, QGIS, or similar is a strong advantage.
Familiar with cloud platforms (especially Google Cloud Platform), including ML services, storage, and serverless deployment.
Basic understanding of DevOps practices: version control (Git), CI/CD pipelines, telemetry, monitoring, and model lifecycle management.
What we have to offer you:
Pre-Employment Requirements
Employment offers may be contingent upon successful completion of a background check and reference verification, in accordance with applicable laws and company policy.
Equal Employment Opportunity
TEKEVER is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, and gender expression), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law.
Do you want to know more about us ?
Visit our LinkedIn page at https://www.linkedin.com/company/tekever/
