Data Scientist

Summary

Join Aperia, a company revolutionizing commercial vehicle fleet efficiency and sustainability through innovative hardware and data analytics, as a Data Scientist. You will leverage vast data streams from telematics and IoT devices to develop insights and new product features. Collaborate with cross-functional teams to build predictive models, analyze data anomalies, and create reports and dashboards. This remote role requires expertise in data analysis, algorithm development, and data visualization. You will present findings to stakeholders and propose solutions to business challenges. Aperia offers a competitive salary and benefits package.

Requirements

• BSc/BA in Computer Science, Engineering, or relevant field required; a graduate degree in Data Science or other quantitative field is preferred
• Proven 2-4 years of experience as a Data Scientist or Data Analyst
• Proficiency in SQL and Python is required; familiarity with R, Matlab, or C is an asset
• Experience using business intelligence tools and data frameworks
• Experience in data mining
• Analytical mind and business acumen
• Strong mathematical skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills

Responsibilities

• Build, maintain, and enhance predictive models and algorithms to detect data anomalies in order to improve product performance or increase product adoption
• Analyze reported problems, determine root causes, and suggest preventive measures based on collected data
• Curate valuable data sources and automate data collection processes using business intelligence tools and data frameworks
• Commit to the preprocessing of structured and unstructured data on a daily basis
• Analyze large amounts of existing and new information to discover trends and patterns and document and prepare data for reporting statistics and presenting graphs
• Present information using data visualization techniques to commercial stakeholders, management, customers, and sales
• Collaborate with engineering and product development teams to augment data
• Propose solutions and strategies for any business challenges found

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Long-term disability insurance