Open Data Science Is the David Beckham of Your Data Team | Continuum

"Traditional data science teams function like swim teams. Although all members strive for one goal — winning the meet — each works individually, concentrating on his or her isolated lane or heat. As each player finishes his heat, the team’s score is tallied. If enough team members hit their individual goals, then the team succeeds. But team members’ efforts are isolated and desynchronized, and some members might pull off incredible times, while others lag behind in their heats. Today, the industry is moving toward open data science (ODS), which enables data scientists to function more like a soccer team: Team members aren’t restricted to their own lanes but are instead free to move about the field. Even goalies can score in soccer, and ODS developers are similarly encouraged to contribute wherever their skills intersect with development challenges. No team members are relegated to 'second-string' or niche roles: In a given project, developers might contribute to model building, while domain experts like quants offer insights about code structure or visualization. As with soccer, the pace is fast, and the process is engaging and fun ..."