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Description:
Tiger Analytics is seeking a fully remote experienced Telematics Data Scientist to join their advanced analytics consulting firm.
The consultant will utilize expertise in Data Science, Machine Learning, and AI to design and build advanced analytics engines and services.
Responsibilities include collaborating with cross-functional teams to define technical problem statements, developing analytical models, and incorporating them into data products.
The role involves driving current and future strategy by leveraging analytical skills to ensure business value and communicate results effectively.
Requirements:
Bachelor’s Degree in Computer Science or closely related field.
4 to 8 years of experience in Data Science.
Proficiency in R, Python, or similar programming languages.
Experience in vehicle telematics, logistics, pattern detection in sensor data, and geospatial mapping.
Deep expertise with geospatial packages like geopandas and rasterio in Python.
Familiarity with machine learning and deep learning frameworks such as H2O, TensorFlow, PySpark, PyTorch, MXNet, Caffe.
Understanding of data harmonization, feature preparation, and working with 3rd party providers.
Experience with distributed storage, database platforms, and cloud computing environments.
Knowledge of telematics data utilization for BI and analytics purposes.
Experience with weather and atmospheric data, as well as processing platforms like Flink, Hadoop, Kafka, Spark, AWS EMR, Arrow, or Storm.
Familiarity with handling large volumes of data (terabytes, petabytes, exabytes).
Proficiency in containerization tools like Docker and Kubernetes.
Background in spatial optimization algorithms is a plus.
Benefits:
The position offers significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
The role provides a high degree of individual responsibility.