Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
As an entry-level data analyst in the AI team, you will perform a variety of critical tasks to support the AI team in developing, evaluating, hardening Motive’s AI products:
- Data Exploration & Visualization: Investigating data to identify trends, anomalies, or patterns using tools like SQL, Tableau, Power BI, or Python libraries like Matplotlib or Pandas.
- Performance Monitoring: Analyzing the performance metrics of AI models such as accuracy, precision, recall, F1 score, etc., and identifying areas for improvement.
- Performance Hardening: Provide quantitative and qualitative insights for feature improvement, contributions in model development process through data or design.
- A/B Testing & Experimentation: Conducting experiments to test the efficacy of AI models or changes to AI systems, using A/B testing or other experimental designs.
- Root-Cause Problem Solving: Carry out failure investigation of AI events including but not limited to recalling and reviewing events where AI algorithms fail in the field and then compare to backtest (test infra) results in consultation with model development team and jointly layout directions for feature improvements.
- Reporting: Creating dashboards and reports to communicate the results of data analyses to business stakeholders.
- Cross-functional Collaboration: Participate in cross team coordination with the Data Annotation, QA, and Product teams.
- Bachelor’s Degree in Computer Science, Electrical Engineering, or related field
- Experience in SQL & Redash / Snowflake, writing complex queries
- Experience in Python and data analysis & visualization tools (pandas | plotly | seaborn)
- Strong problem-solving & communication skills
- Demonstrated experience in Computer Vision or Machine Learning is a strong plus (FYP, Coursework, Freelance or side project or industrial experience)
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
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What the Team is Saying
What We Do
Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery. Visit gomotive.com to learn more.
Why Work With Us
We work hard, with humility and we see our efforts rewarded in tangible ways every day. At Motive, you’ll have the chance to make a difference for the drivers who keep our world moving. We trust each other to do great work because together we can achieve collective goals that reach beyond the physical economy.
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Employees work remotely.
