Senior Manager, Telematics SME

Summary

Join Tiger Analytics as a fully remote Telematics Data Scientist and contribute to our advanced analytics consulting firm. You will leverage your expertise in AI, machine learning, and data mining to design and build next-generation analytics engines and services. Collaborate with cross-functional teams to define technical problems and develop accurate analytical models. This role offers significant career development in a fast-growing environment. You will need a Bachelor's degree in Computer Science or a related field, along with extensive experience in consulting, telematics, and relevant programming languages. Experience with various data processing platforms and cloud computing environments is also required.

Requirements

• Possess a Bachelor’s Degree in Computer Science or closely related field
• Have 8 to 12 years of experience in Consulting
• Have 5 years of experience in Telematics
• Have experience with R, Python, or similar programming languages
• Have experience working in the areas of vehicle telematics, logistics, pattern detection in sensor or smartphone-connected data, and geospatial mapping
• Have experience with the development of computational algorithms to reduce computation time (e.g. MapReduce)
• Have an understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers
• Have experience with distributed storage and database platforms
• Understand how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing)
• Have experience working with weather and atmospheric data
• Have experience with batch, micro-batch, streaming, and distributed processing platforms such as Flink, Hadoop, Kafka, Spark, Hudi, AWS EMR, Arrow, or Storm
• Have experience working within Amazon Web Services (AWS) cloud computing environments
• Have experience with terabytes, petabytes, or even exabytes of data
• Have familiarity with containerization tools such as Docker and Kubernetes

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

• Have deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python; maptools, spdep, or OpenStreetMap)
• Have experience with popular machine learning and deep learning frameworks (e.g. H2O, TensorFlow, PySpark, PyTorch, MXNet, Caffe)
• Have a background in spatial optimization algorithms

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