Director of Data Science

Hybrid
Director
🇩🇪 Germany
Data science & Analytics

  • Responsible for developing team culture, training and competencies development, mentoring and motivating the team members; setting the data science vision and capabilities that contribute to the business's overall targets and objectives;
  • Leverage data enabling him to uncover insights, trends, and patterns that are useful in making informed decisions;
  • Responsible for evaluating technologies used within the business and communicating the findings to the key stakeholders;
  • Partner with senior executives and key stakeholders across the business on developing the data science roadmap that is in line with the overall business strategy and is contributing to business performance;
  • Take initiative and stay up-to-date with the latest trends and best practices and incorporate them in the business;
  • Discover, implement and advocate usage of various tools and processes that make Data Science a real multiplier for the business, but also our Tech teams;
  • Proactively do R&D on most critical aspects of our business to identify opportunities and gaps in both operational and product where Data Scientist can work on improving operational efficiencies and customer facing products.

Requirements

  • You possess Master’s Degree in Computer Science, Mathematics, Statistics, Data Science, Machine learning or any other related field;
  • 5+ years of professional experience managing multiple teams through the implementation of new data science models, tools, and techniques as a Director, or a Head of;
  • Are hands-on in analysing and manipulating large, complex, high-dimensional data from numerous sources and communicating the results to a wider org, leading to business-wide improvement of data management, informed decision-making, and ultimate improvement in performance;
  • You are pragmatic and understand what is needed to get things done collaboratively across a large organisation;
  • Have worked with MLOps to define the architecture and integrations between Product & Engineering and Data Science models;
  • You can demonstrate how you achieved this success: processes, goals, KPI’s, hiring, firing, management skills, alignment, budgeting etc;
  • A passionate leader who can lead and inspire others;
  • Excellent communication in English.

 

Flink

Flink

Flink is the leading quick commerce player in Europe, delivering groceries to customers' doorsteps in minutes

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