Data Scientist, People Analytics

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 more than 120,000 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.

At Motive, our People Analytics team sits at the intersection of data science and talent strategy, transforming how we understand and enhance organizational performance.  As a Data Scientist on our rapidly growing team, you'll leverage advanced analytics to tackle our most pressing talent challenges and drive measurable business impact.

You'll pioneer the application of data science to human capital, building sophisticated models and research that decode organizational behavior and shape Motive's talent strategy. Your work will span critical areas including:

• Predicting and enhancing talent acquisition, development, and retention
• Quantifying and elevating employee experience
• Optimizing team performance 
• Maximizing productivity
• Rethinking how we measure talent

Human capital problems require particular attention to sample size impacts, covariance, selection bias, modeling choices, and other issues that can be the difference between highly meaningful & impactful results, and noise.  In this role, you will leverage structured problem solving approaches and data science skills to identify and deliver high impact solutions, as well as develop unique data science skills and human-capital expertise.

• Passionate about human capital: You are excited by the value we can add to our company and our employees, and are inspired to help make a large positive impact
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Required Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, or related quantitative field
• 4+ years of experience applying advanced analytics in a business context
• Expert proficiency in Python or R, and SQL
• Proven track record of building and deploying machine learning models
• Experience with statistical analysis, experimental design, and causal inference
• Strong project management skills with demonstrated ability to lead complex analytical initiatives
• Excellent communication skills - ability to translate complex analyses into actionable insights for diverse stakeholders

Preferred Qualifications:

• Master’s or PhD in a quantitative field or equivalent practical experience
• Experience with people analytics, HR, or workforce planning
• Experience in visualization tools (e.g., Tableau, PowerBI)
• Background in organizational psychology or behavioral economics
• Experience with natural language processing and unstructured data analysis
• Track record of publishing or presenting analytical work
• Familiarity with HR systems and people data structures

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.

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. 

#LI-Remote