Data Scientist People Analytics
Data Scientist People Analytics
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Job Description
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 120000 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 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 youll leverage advanced analytics to tackle our most pressing talent challenges and drive measurable business impact.
Role Description
Youll pioneer the application of data science to human capital building sophisticated models and research that decode organizational behavior and shape Motives 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 humancapital expertise.
The Ideal Candidate is:
- 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 stateoftheart 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. Youre not afraid to share a new idea.
- Technical. Youre comfortable with opensource languages and are passionate about developing further. You have handson experience developing data science solutions using opensource tools and cloud computing platforms.
- Statisticallyminded. Youve built models validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with network analysis clustering classification time series and sentiment analysis.
Required Qualifications:
- Bachelors degree in Data Science Statistics Economics or related quantitative field
- Background in organizational psychology or behavioral economics
- 3 years of experience applying advanced analytics in people analytics HR or workforce planning
- 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:
- Masters or PhD in a quantitative field or equivalent practical experience
- Experience with Organizational Network Analysis
- Experience in visualization tools (e.g. Tableau PowerBI)
- 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 Motives core values. We are an equal opportunity employer and welcome people of different backgrounds experiences abilities and perspectives.
Please review our Candidate Privacy Noticehere .
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 Motives policy to require that employees be authorized to receive access to Motive products and technology.
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Employment Type
Full Time
