Purpose:

 

The Predictive Index (PI) is an award-winning workforce assessment platform. 60 years of proven science, assessment software, and our curriculum of management workshops make PI the perfect option for any company looking to assess, predict, and better manage their people anywhere in the world. Over 6,000 clients use PI to define behavioral and cognitive job requirements, hire the best-fitting candidates, and keep them engaged. AT&T, DocuSign, the LA Clippers, Hugo Boss, and Subway are just a few of our notable clients.
 
Our team takes great pride in the power that PI has to positively impact and supercharge workplace relationships and culture - we are our own best case study. You’ll be part of a mission that inspires you, and you’ll be surrounded by fun, smart, motivated people day in and day out. Our company motto is “better work, better world,” and we take that to heart, most of all when it comes to our own people.

 

Position:

 

We’ve grown our business about 30% year-over-year since the new management team took over in 2014. We amped up PI’s Science in a big way, including the launch of a brand new revision of our core behavioral assessment, the acquisition and implementation of a world-class cognitive assessment, the creation of a machine-learning-based job categorization system, the infusion of innovative science-based features into our brand new software product releases, the development of significant technical and educational documentation, the completion of numerous validation studies (bringing us past 350 studies since 1992), and so much more.

 

At the core of PI’s Science are two assessments: our Behavioral and Cognitive Assessment, which are completed by 3 million people every year. But that’s not all. PI’s Science Team is investing in machine learning, employee engagement, performance management, and strategies for using big data analytics to answer Science questions on-the-fly.

 

About the role:

 

This is a rare opportunity on a small but powerful, fun team. Your work can touch psychometrics, product innovation, thought leadership, and everything in between. It’s not a stuffy, boring science role.

 

You will be involved in evaluation, maintenance, and improvements of our core assessments across 80 languages, client criterion validation studies, the development of new assessments and related tools, and developing education and support materials for our network of more than 500 consultants. You will also work hand-in-hand with our Product Team to reinvent the client experience, how users use our science, and so much more.

 

Your day-to-day:

 

  1. Putting analytics/statistics skills to use to run item analyses and form analyses to help maintain and update the Behavioral and Cognitive Assessments.
  2. Creating, editing, and updating technical reports, including peer review audit documentation, internal white papers, and/or client facing technical guides about the assessments.
  3. Developing new assessments and/or surveys; taking charge of item writing, field-testing, managing survey administrations for study samples, conducting analyses, and reporting.
  4. Taking the lead on literature reviews and research, finding relevant sources, examples of best-practices, and supporting evidence to help guide studies or development of new assessments.
  5. Managing validation studies, including sampling plans, data collection, data cleaning, analysis, and presentation of results.
  6. Contributing to thought leadership through papers, presentations, and product innovations.
  7. Leading conversations with the Product Team to transform science into client experiences
  8. Collaborating with the PI Science Team and many other function areas at PI, including marketing, finance, people operations, and more.

 

Should you apply? If you’ve got all these skills, drop what you’re doing right now. If you’ve got some of these skills, we still want to hear about them!

 

  1. Strong data analytic and statistics skills including expertise in R or SPSS and an understanding of basic statistical methods—at a minimum correlations, t-tests, and power analysis.
  2. Master’s degree or doctorate in I/O psychology, or similar field studying psychology, psychometrics, survey methodology, or business and workforce analytics.
  3. Working knowledge of workforce science topics like employee selection, development, engagement, personality assessment, cognitive ability, or culture and values.
  4. Working knowledge of assessment theory topics like validity, reliability, and fairness.
  5. Track record of having a lead role creating, building, or implementing an analysis, research study, or data-driven project for clients, whether internal or external.
  6. Creativity, with an ability to communicate your ideas and to problem-solve, even when tasked with something that has not been done before.
  7. Even better if you’ve done some or all of the above within the talent/HR industry, in developing workforce assessments or surveys, or in cutting-edge data science work, like machine learning research.

 

People most qualified for this role will be:

 

  • Task-driven – take ownership of assignments, and look for improvements we can make.
  • Cross-functional – at PI, we work as a team and collaborate with our peers in other departments!
  • Smart – learn our systems and our industry quickly, and think through the risks and benefits when weighing solutions.
  • Energetic – we have a vibrant team, energy is required.
  • Hard-working – we are growing–you MUST be willing to roll up your sleeves.
  • Focused – projects have lots of parts, documentation, and repeated analyses, be ready to dive in and stay on point.
  • Confident – we hire people because we value their expertise—share your opinion and disagree constructively.
  • Fun – because we work hard, we like to play hard–we hope you do too!

 

This position is based in our newly renovated office in Westwood, MA. If the description above sounds like you, and you like doing the awesome stuff mentioned, PI could be a great career move for you.

 

The Predictive Index is an Equal Opportunity Employer.

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