Data Scientist – Product Strategy & Research

Instructure was founded to define, develop, and deploy superior, easy-to-use software. (And that’s what we did/do/will keep on doing.) We are dedicated to the fight against iffy, mothbally, shoddy software. We make better, more usable tools for teaching and learning (you know, stuff people will actually use). A better connected and more open edtech ecosystem. And more effective ways for everyone everywhere to access education, make discoveries, share knowledge, be inspired, and do big things. We accomplish all this by giving smart, creative, passionate people opportunities to create awesome. So here’s your opportunity.

Our Product team is looking for a data science nerd with product design sense.

What you will be doing:

• Pulling and working with large data sets to describe, diagnose, and predict user behavior;
• Learn and apply understandings from the fields of education, cognitive psychology, data science to serve the very human needs of learners and teachers;
• Develop and prototype learning analytics diagnostic & predictive models in coordination with the Product Analytics team, using various machine learning and data mining techniques, such as neural networks, etc;
• Communicating results and methods to both Product and Engineer types;
• Collaborate both inside and outside the company with diverse personalities and skill sets;
• Conducting all activity securely and in accordance with privacy best practices and company policy.

Here’s what you will need to know/have:

• Ability to construct complex queries in order to pull, parse, and organize data from various sources;
• Expertise with relevant languages and tools for data exploration and manipulation, e.g. SQL, Python, R, etc.;
• Real-world experience analyzing and deconstructing large data sets, including applying machine learning, neural networks, artificial intelligence, etc. to solve important problems;
• Strong preference for a graduate degree in data science, engineering, computer science, statistics, or related field;
• Strong preference for candidates with learning analytics expertise, or at least the ability to transfer your experience to the domain of education;
• Personal project management skills;
• Passion for putting data to work to help people save time and be more effective;
• A growth mindset and a can-do attitude suitable to our energetic, fast-paced environment;

Get in on all the awesome at Instructure.

• Competitive salary, equity, and 401k,
• Employee stock purchase plan,
• 100% paid medical, dental, disability, and life insurance,
• HSA program, vision, voluntary life, and AD&D,
• Tuition reimbursement,
• Paid time off, 9 paid holidays, and flexible work schedules,
• Gym club reimbursements and rewards-based fitness tracking,
• iMacs or Macbooks.

We participate in eVerify. Equal Opportunity Employer.