Collaboration.Ai is a Minneapolis-Saint Paul based software and services company with employees and strategic partners around the globe. Using our software platforms, design thinking, and artificial intelligence, we open up opportunities for clients in public, private, and nonprofit sectors to forge valuable connections, create meaningful engagement, and develop groundbreaking ideas. To learn more about us, visit collaboration.ai.

Our product lineup:

NetworkOS: evaluate and expand your network

CrowdVector: enable innovation, from ideation to production

TeamCreator: make the most of teamwork opportunities

SocialCollaboration: strengthen your influence on social media platforms

We are looking for a visionary Network Science Leader to oversee our company’s network analysis processes, leveraging data to drive business insights and maximize our operating capabilities. In this role, you will be responsible for using advanced analytics techniques to analyze email traffic, innovation submissions, and startups & ecosystem offerings to identify trends and opportunities for improvement.

In addition to the skills required, you’ve got the itch to help build a team, influence the future of work, and believe that your data shouldn’t just be used to sell ads. You don’t need to know exactly what you’re going to do every day and you’re also willing to roll your sleeves up and do what is needed.

What you’ll do:

Email Traffic Analysis:

• Analyze email patterns and trends using tools like GSuite/360 to understand communication dynamics within organizations.
• Identify key players and information flows to provide insights into decision-making processes.
• Develop recommendations to optimize communication and collaboration within teams.

Innovation Submissions:

• Evaluate the quality and relevance of innovation submissions to identify trends, gaps, and opportunities for improvement.
• Analyze data to identify potential areas of growth and emerging technologies.
• Provide actionable insights to help improve the innovation submission process.

Startups & Ecosystem Offerings:

• Analyze startups, their products, founders/networks, and the ecosystems they operate in to identify areas of growth, potential partnerships, and emerging technologies.
• Monitor the competitive landscape and stay up-to-date with the latest trends and technologies.
• Develop recommendations for potential partnerships and investment opportunities.

Predictive Algorithms:

• Develop predictive algorithms to forecast trends and opportunities in the areas of email traffic, innovation submissions, and startup ecosystem offerings.
• Use machine learning and data modeling techniques to identify patterns and predict future outcomes.
• Work collaboratively with cross-functional teams to integrate predictive algorithms into our platforms.

• Master’s or Phd degree in Network Science, Computer Science, Data Science, Statistics, or a related field.
• Strong analytical and problem-solving skills with experience in data analysis and modeling.
• Have excellent collaboration skills and can work well with cross-functional teams
• Proficiency in programming languages such as Python or R and familiarity with data visualization tools like Gephi, Neo4j
• Experience with statistical modeling, machine learning, artificial intelligence and data mining.
• Familiarity with email API/security tools such as GSuite/360.
• Strong communication and collaboration skills with the ability to work effectively with cross-functional teams.
• Ability to understand and communicate technical concepts to non-technical team members and stakeholders
• Strong problem-solving skills and a focus on process optimization
• Extra credit: You have experience with government/military customers and/or SaaS products
• Extra credit: Network theory–experience and interest for how networks form and how to design network structures that encourage collaboration and the formation of meaningful connections.
• Location: Fully remote with bonus points for applicants in Minnesota
• U.S. citizenship required