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QUALIFICATIONS AND JOB DESCRIPTION
Responsibilities
· Conduct exploratory data analysis to identify trends and patterns within large datasets.
· Collaborate with engineers and product managers to integrate machine learning solutions into the our systems
· Convey discoveries, findings, and understandings to colleagues using visual representations and reports
· Design and implement data pipelines for data collection, preprocessing, and feature engineering.
· Evaluate model performance and make recommendations for model improvements.
· Design experiments and A/B tests to evaluate the effectiveness of algorithmic changes.
· Stay updated on the latest advancements in data science and machine learning techniques.
Qualifications
· Bachelor or Master degree in Computer Science, Statistics, Mathematics, or a related field.
· 2-3 years of experience in data analysis, machine learning, or a similar role.
· Proficiency in programming languages such as Python, SQL, R
· Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Matplotlib)
· Solid understanding of statistical concepts and machine learning algorithms
· Excellent problem-solving skills and attention to detail
· Ability to work collaboratively in a fast-paced environment
· Ability to effectively communicate complex technical concepts to non-technical colleagues through compelling storytelling and presentations
· Enthusiasm and curiosity for exploring and implementing newly emerged AI technologies, frameworks, and methodologies
· Advanced documentation skills
· Experience or usage of IOT solutions is a plus
· Experience or usage of vehicle telemetry data is a plus