Remote Senior Manager/ AD - Telematics SME

Summary

Tiger Analytics is seeking a remote Telematics Data Scientist with 8-12 years of consulting experience and 5 years in Telematics. The role involves applying AI, machine learning, and data mining to design advanced analytics engines. A Bachelor's Degree in Computer Science is required.

Requirements

• Bachelor’s Degree in Computer Science or closely related field
• 8 to 12 years of experience in Consulting
• 5 years of experience in Telematics
• Experience with R, Python, or similar programming languages
• Experience working in the areas of vehicle telematics, logistics, pattern detection in sensor or smartphone-connected data, and geospatial mapping
• Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce)

Responsibilities

• Apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services
• Collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test
• Develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools
• Drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results

Preferred Qualifications

• Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python; maptools, spdep, or OpenStreetMap)
• Experience with popular machine learning and deep learning frameworks (e.g. H2O, TensorFlow, PySpark, PyTorch, MXNet, Caffe)
• Understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers
• Experience with distributed storage and database platforms
• Understanding how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing)
• Experience working with weather and atmospheric data
• Experience with batch, micro-batch, streaming, and distributed processing platforms such as Flink, Hadoop, Kafka, Spark, Hudi, AWS EMR, Arrow, or Storm
• Experience working within Amazon Web Services (AWS) cloud computing environments
• Familiarity with containerization tools such as Docker and Kubernetes

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility