Data Scientist/Technical Analyst

Responsibilities: − Design data-driven solutions for business problems. − Understand automotive domain specifics; consult experts when needed. − Learn and work with vehicle IoT systems, especially the Telematics Control Unit. − Build expertise in handling time-series data. − Perform data cleaning, preparation, and ETL processes. − Explore data to find insights, trends, and patterns; collaborate with domain experts to test hypotheses. − Create and select meaningful features for modelling. − Choose and apply suitable ML/DL algorithms; build training pipelines and optimize models. − Validate models and use ensemble methods when beneficial. − Visualize and report findings using graphs and summaries. Mentor junior data scientists and support their development. Essential: · A minimum of 4 years of industry experience in data science. · Proficiency in Python programming with experience in pandas , NumPy , matplotlib , and sklearn libraries. · Competence in statistical analysis , including descriptive, inferential statistics, and hypothesis testing. · Practical experience in mathematical modelling and a variety of machine learning techniques, such as: o Generalized Linear Models (GLM), Boosting Algorithms, Decision Trees, Neural Networks, Support Vector Machines (SVM), and Bayesian Methods. o Econometric analysis. o Deep Learning models including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTM), and Gated Recurrent Units (GRUs). o Unsupervised learning algorithms and image classification using computer vision. · Proven track record of successful model deployment. Desirable: · Experience with accident simulation tools such as PC crash or OPENPass . · Familiarity with time-series and IoT data analytics. · Familiarity with LLMs Knowledge of automotive systems, vehicle fundamentals, and Controller Area Network (CAN) protocol.