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.