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Tool for analysts and developers to boost their productivity in data science

Data Science Pod Leader

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Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation.

We're looking for a strong people leader to manage one of several Data Science teams in New York and Denver.
Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. Internally, we call the team the DataFab, and it is structured as small pods (3 to 6 people per pod) within a given region. As the team grows, we spin out new pods, elevating new leaders as we go. 

As a Pod Leader, you will oversee the work and career development of the Data Scientists within your pod. While strong technical skills are needed to coach the members of your pod appropriately, this is a people-management position first and foremost, and candidates should be motivated by that aspect of the job. 

Dataiku will support the growth of the DataFab pod leaders into their management responsibilities through ongoing professional training, the creation of communities of practice for new managers, and other initiatives currently being defined. 

* Serve as the direct manager for a team of 2 to 5 Data Scientists
* Oversee the weekly staffing of the members of your pod, ensuring that their work matches their career development aspirations insofar as possible
* Work with clients and your team members to scope client needs, formalizing them in Statements of Work
* Oversee the technical quality of your team’s work, and ensure that it adheres to Dataiku’s expectations for excellence
* Coordinate with the leaders of other pods and teams within your region to ensure that customer needs are being met
* Conduct performance reviews and lead compensation discussions with your pod

* A passion for selflessly leading a team, and helping each member reach their career objectives
* Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
* 3+ years of experience with R or Python
* 3+ years of experience with predictive modelingFamiliarity with data visualization in Python, R or JavaScript
* Understanding of relational data structures and SQL

Bonus Points for any of these:
* Experience with PySpark, SparkR or Scala
* Experience developing WebApps
* Experience building APIs
* Experience with cloud infrastructures, especially Kubernetes
* Passion for teaching or public speaking

* Develop your skills as a manager, while maintaining a foot strongly in the technical realm
* Exposure to a wide range of enterprise customers across industries. Examples of Dataiku’s hundreds of customers include GE, Unilever, Comcast, Ubisoft, OVH, Santander, and Capgemini. (Capgemini.Opportunity)
* Opportunity to contribute to the core vision of our company and product: simplify and democratize the way people work with data and use Artificial Intelligence
* Exposure to the latest, open source technologies that Dataiku integrates. See our release notes for our latest developments: doc.dataiku.com/dss/latest/release_notes/index.html
* Competitive compensation package, equity, health benefits, and paid vacation
* Trips to Paris (our European HQ) and other locations worldwide for company-wide and team summits
* Opportunity to work with a smart, passionate and driven team in hypergrowth mode
* Dataiku has a strong culture based on key values: Transparency, Ambition, Excellence, Humility, and Empathy

To fulfill its mission, Dataiku is growing fast (having just closed a $101 million Series C round in December 2018 and looking to double in 2019), but still maintains a startup spirit. Dataiku serves its global customer base from its headquarters in New York City as well as offices in Paris, London, Munich, Singapore, and Sydney. Each of our offices has a unique culture, but underpinning local nuances, we always value curiosity, collaboration, and can-do attitudes.



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