Does every product need a Data Scientist? with Martin Schmitz
The Data Standard
Product teams are growing and with them a plethora of product suffixes: there are now product managers, owners, designers, analysts, strategists, and others all sitting on product teams. Product managers now also have more adjectives attached to their titles, whether it’s based on their seniority or their field, and as the discipline evolves, so will job descriptions. But there is one conspicuous function on many product teams today that doesn’t always have “product” in the title: data scientist. Data scientists facilitate data-based decision-making, experimentation, and innovation, key drivers that can put the product team ahead of the market. Being on the product team ensures they have alignment with- and a sharp focus on the product and business objectives.
In this episode, guest Martin Schmitz sits down with TDS to attempt to answer the question of does every product needs a Data Scientist?
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Head of Data Science Services at RapidMiner
Experienced customer-facing data scientist. Pre- and Post-sales technical Leader, who likes to communicate.