Data Scientist, Remote

Aperia Technologies; San Mateo (CA); Remote; USD 120,000 - 135,000; Full time

Job summary

A leading technology firm is seeking a remote Data Scientist to develop insights and enhance products using vast data from telematics and IoT devices. The successful candidate will have strong experience in SQL and Python, alongside expertise in data mining. You will be essential in improving product performance and user experience through predictive models and data analysis.

Benefits

Equity options

Medical, dental, and vision insurance

401(k)

Long-term disability insurance

Qualifications

• 2-4 years of experience as a Data Scientist or Data Analyst.
• Strong mathematical skills in statistics and algebra.
• Excellent communication and presentation skills.

Responsibilities

• Build and enhance predictive models to improve performance.
• Analyze data to determine root causes of reported problems.
• Present data visualization to stakeholders.

Skills

SQL

Python

Data Mining

Business Intelligence Tools

Mathematics

Analytical Thinking

Education

BSc/BA in Computer Science, Engineering, or relevant field

Graduate degree in Data Science or related field

Tools

R

Matlab

C

Job description

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Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halotm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.

Your Role

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

As a Data Scientist, you will develop insights and new product features utilizing the vast amounts of data streaming from our extensive deployment of telematics and IoT devices in the field. Collaborating with engineering, product management, data analysts, and customer support teams, you will develop new algorithms, reports, dashboards, and product enhancements to improve the functionality, reliability, and user experience of Aperia’s products. This is a remote role.

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.
  
  

Required Qualifications

• 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
  
  

Pay Range: $120,000 - $135,000

• Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.
• Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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