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DataFab Pod Leader - London

CDI
London
Salaire : Non spécifié
Télétravail non autorisé
Expérience : > 3 ans

Dataiku
Dataiku

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Descriptif du poste

We're looking for a strong people leader to manage one of several Data Science teams in London.

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. 

Responsibilities

  • 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
  • Requirements

  • 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 modeling
  • Familiarity with data visualization in Python, R or JavaScript
  • Understanding of relational data structures and SQL
  • Bonus point if 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
  • Benefits

  • 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.
  • 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: https://doc.dataiku.com/dss/latest/release_notes/index.html
  • Competitive compensation package, equity, health benefits, and paid vacation
  • Trips to different 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! In 2019, we achieved unicorn status, went from 200 to 400 people and opened new offices across the globe. Spanning from Sydney to Frankfurt, Denver to London, geography doesn’t stop Dataikers from working closely together and sharing experiences. Collaboration is key within our product and culture. We strive to create a sense of belonging and community while fostering diverse thinking by encouraging cross-team, cross-office interactions like our annual company offsite or Paris onboarding. Fly over to Twitter, LinkedIn, and Instagram to read stories about our culture, people, and success. 

    Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment.

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