Senior Manager/ AD - Telematics SME

Tiger Analytics; United States; Remote; USD 90,000 - 160,000; Full time

Job summary

Join a forward-thinking analytics consulting firm as a Telematics Data Scientist, where your expertise in machine learning and AI will drive impactful strategies for Fortune 500 clients. This fully remote role offers the chance to design and prototype innovative analytics solutions, collaborate with cross-functional teams, and leverage your analytical skills to generate business value from data. With a focus on telematics and advanced data techniques, you'll play a crucial role in shaping the future of analytics in a dynamic and supportive environment. Embrace this opportunity to elevate your career in a challenging yet rewarding setting.

Qualifications

• 8 to 12 years of consulting experience in data science.
• Deep expertise in telematics and machine learning frameworks.

Responsibilities

• Design and build advanced analytics engines using AI and machine learning.
• Collaborate with teams to define technical problem statements.

Skills

Machine Learning

Data Mining

AI

Telematics

Python

R

Geospatial Mapping

Computational Algorithms

Data Harmonization

Feature Preparation

Education

Bachelor’s Degree in Computer Science

Tools

H2O

TensorFlow

PySpark

PyTorch

Docker

Kubernetes

AWS

Hadoop

Spark

Kafka

Job description

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 3rdparty 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.