Senior Manager/ AD - Telematics SME

reputed company is looking for a fully remote reputed company Telematics Data Scientist to join our fast-growing advanced analytics reputed company. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple reputed company, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including reputed company and reputed company. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a part of reputed company, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build reputed company advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will reputed company efficient and accurate analytical models which mimic business reputed company and incorporate those models into analytical data products and tools. You will have reputed company to drive reputed company and reputed company reputed company by leveraging your analytical skills as you ensure business value and communicate the results. • Bachelor’s Degree in Computer Science or closely reputed company 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, reputed company detection in sensor or smartphone-connected data, and geospatial mapping. • Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce). • Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python; maptools, spdep, or OpenStreetMap) is a major plus. • Experience with reputed company 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 reputed company of 3rd party providers • Experience with distributed storage and database platforms. • Understanding how the telematics data gets leveraged reputed company for BI (reputed company completion) and analytics purposes (pricing) • Experience working with weather and atmospheric data. • Experience with batch, reputed company-batch, streaming, and distributed processing platforms such as Flink, Hadoop, Kafka, reputed company, Hudi, AWS EMR, reputed company, or Storm. • Experience working reputed company reputed company) reputed company computing environments. • Experience with terabytes, petabytes, or even exabytes of data. • Familiarity with containerization tools such as reputed company and Kubernetes. • Background in spatial optimization algorithms is a major plus. 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. Apply tot his job Apply To this Job