Role & Responsibility:
Responsibilities:
Understanding of accident data and environment data

Architect a data-based solution for the business problem presented.

Develop contextual automotive domain knowledge around the problem. Collaborate with the domain knowledge expert if required.

Understand the IoT device (Telematics Control Unit) of the vehicle.

Develop understanding of Time-Series Data

Clean up and Prepare datasets for modeling, get involved in ETL process if required.

Exploratory data and get insights. Present the descriptive stats and insights to the domain experts. Find meaningful patterns in data, detect seasonality and trend, establish cause and effect relationships in data. Develop & Test hypothesis in collaboration with the domain experts.

Design features, shortlist features, study feature importance, decide the ML strategy

Data modelling, selection of an appropriate machine learning / deep learning model, data pipeline setup for model training, hyper-parameter tuning, validation and test. Apply ensemble model techniques (if required)

Reporting & Visualization: Comprehension of reports, visualization of data in the form of plots.

Mentoring juniors in data science

Competency Requirement:
Must have minimum of 4 years of industry experience in developing data science models and /or accident

Strong programming skills in python is a must. Working experience with pandas, numpy, matplotlib, sklearn

Statistical analyses (descriptive ,inferential, hypothesis testing)

Hands on experience of mathematical modelling

ML models (GLM, Boosting, Decision Trees, Neural Networks, SVM, Bayesian Methods,)

Time series models (econometrics, RNNs, LSTM, GRUs)

Unsupervised learning algorithms

Experience of image classification using computer vision techniques

Experience of deployment of models

Desirable:
Experience of simulation of accidents on PC crash/ OPENPass

Experience of deployment of models

Experience in time-series/IoT data analytics

Exposure to automotive systems, automobile basics, controller area Network protocol (CAN protocol) etc.

Data Visualization tools such as Tableau, PowerBI etc

Educational Requirement:
BE/ B Tech with 60% marks and certification course/diploma in Data science