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Senior Manager/ AD - Telematics SME

Remote: 
Full Remote
Contract: 
Experience: 
Expert & Leadership (>10 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s Degree in Computer Science or related field, 8-12 years of consulting experience, 5 years of experience in telematics, Proficient in R, Python or similar languages, Experience with distributed storage and AWS.

Key responsabilities:

  • Apply AI expertise to analytics engines
  • Collaborate with teams to define problems
  • Develop analytical models for business decisions
  • Ensure business value through data communication
  • Drive strategy using strong analytical skills
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Tiger Analytics XLarge https://www.tigeranalytics.com/
1001 - 5000 Employees
See more Tiger Analytics offers

Job description

Tiger Analytics is looking for a fully remote experienced Telematics Data Scientist to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. 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 our team, you will 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. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

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).
  • Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python; maptools, spdep, or OpenStreetMap) is a major plus.
  • 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.
  • Experience with terabytes, petabytes, or even exabytes of data.
  • Familiarity with containerization tools such as Docker and Kubernetes.
  • Background in spatial optimization algorithms is a major plus.

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.

Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Verbal Communication Skills
  • Analytical Skills

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