Director, Data Science

vor 1 Tag

Berlin, Deutschland Remote Woman Vollzeit

**About Platform.sh**:
Adopted and loved by 16,000+ developers, 7,000 customers, and for nearly a decade Platform.sh has been providing out-of-the-box capabilities that serve as the launchpad for creative development teams' out-of-the-box thinking.

Platformers are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum. What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Bring your expertise and enthusiasm to our growing, global organization. Your contributions, collaboration, and unique point of view are recognized and valued here.

**Position Summary**:
Platform.sh is seeking a **Director, Data Science & Engineering** to lead the next phase of our data-driven journey. Reporting to the CTO, this role is central to transforming our robust data engineering foundation into a strategic advantage, leveraging data science to unlock actionable insights to the benefit of our internal teams and our customers.

**What to expect**:

- **Drive strategy**: Partner closely with the CTO to craft a data science strategy that aligns with our organizational goals and lead transformative initiatives to shape the data science future here.
- **Understand data**:First, understand our data engineering infrastructure, pipelines, and tools while identifying areas for optimization and innovation.
- **Enable insights**: Unlock actionable insights by leveraging our data engineering foundation to improve platform stability and optimize data performance.
- **Integrate MLOps**:Operationalize machine learning by integrating MLOps practices, ensuring models are scalable, reliable, and impactful.
- **Collaborate cross-functionally**: Deepen alignment with engineering, product, and business teams to foster early collaboration and deliver user-focused, innovative solutions.
- **Empower teams**: Inspire and mentor a talented team of data engineers, creating an environment of accountability, growth, and innovation.
- **Foster experimentation**:Cultivate a culture of experimentation and learning, ensuring the team continuously adapts and evolves to meet business needs.
- **Focus on impact**: Drive high-impact initiatives that leverage data science to simplify processes, solve critical challenges, and create tangible value for customers.

**What you bring**:

- **Proven leadership in Data Science & Engineering**:Experience building and leading data teams in start-up and scale-up environments, with a proven ability to scale operations, align teams with business objectives, and foster collaboration across functions.
- **Strategic and operational focus**:A track record of shaping and defending high-level data science strategies, as well as translating them into actionable, operational goals while balancing short-term execution with long-term planning.
- **Business-centric vision**:The ability to connect data science initiatives to measurable business outcomes, ensuring every project delivers value.
- **Exceptional Communication Skills**: Adept at simplifying complex technical concepts and articulating priorities, progress, and impact to both technical and non-technical stakeholders.
- **Commitment to empowerment**: A leadership style that inspires, mentors, and supports diverse teams, fostering a culture of accountability, innovation, and pride in delivery.
- **Adaptability**: Willingness to immerse yourself in our existing data engineering ecosystem, learning the intricacies of our pipelines, tools, and business processes to craft impactful strategies.

**Bonus Points for**:

- **Technical expertise**: Mastery of Python, SQL, R, and of data-centric platforms like Databricks, BigQuery, Snowflake, or Vertex AI, paired with a deep understanding of infrastructure, API performance, and/or machine learning pipelines.

**Where we hire**:
At Platform.sh, remote work isn't just a trend - it's our way of life. The freedom of remote work with the support of a diverse, global team has been our successful model for nearly a decade Our culture celebrates flexibility and collaboration, while we have team members in over 30 countries spanning every time zone, we are currently focused on hiring in **Australia,**Canada, France, Germany, Spain, the United Kingdom, and the United States**. To enhance team synergy, we come together (at least) once a year in person, seizing the opportunity to connect, tackle challenges, and foster camaraderie.

**How we hire**

We know that a great hire won't meet every requirement that we've outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.

You can expect **5** interviews on Google Meet to follow the order below. Should you successfully mov

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