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Data Science Team Lead

1 maand geleden

Amsterdam, Noord-Holland, Nederland Brenntag Voltijd

Our team at Brenntag is currently seeking a highly skilled Data Science Team Lead to join our Advanced Analytics team in Amsterdam. This role has accountability for the creation of Advanced Analytics solutions to enable decision-making throughout Brenntag.

As part of the Data & Analytics extended leadership team, you will lead the Advanced Analytics team responsible for designing, developing, and implementing analytics products utilized for decision-making. Your ambition is to create a team of highly skilled data scientists who actively engage in knowledge and best practice sharing.

Key responsibilities include:

  • Collaborating with stakeholders to explore opportunities to develop data-driven solutions by developing and utilizing statistical modeling and machine learning algorithms
  • Partnering with business teams to translate and package analytical findings into compelling business plans for action and business impact
  • Building trust and driving business adoption by demystifying solution intricacies for stakeholders
  • Guiding and overseeing development and execution for advanced analytics solutions that lead to improved performance and accomplishment of strategic and/or operational goals
  • Managing, mentoring, and inspiring a team and team members; managing performance, goals, and development potential, and evaluating potential new talent
  • Validating appropriate models to discover meaningful patterns and insights
  • Building and adopting new best practices and processes for end-to-end development and deployment of advanced analytics models and solutions
  • Collaborating with a team of data scientists, product managers, engineers, and business stakeholders to take an opportunity or pain point from concept to scaled solution
  • Serving as a subject matter expert on modeling, data, and business processes within the area of focus
  • Evaluating potential new talent
  • Staying abreast of and applying industry and technology trends as well as emerging tools and techniques relevant to the discipline
  • Driving a continuous learning environment within the advanced analytics community through persistent development of new skills and sharing of knowledge through mentorships and contributions to the open source community

Requirements include:

  • Bachelor's Degree (B.S.) in a quantitative field such as computer science, statistics, mathematics, operations research, behavioral sciences, or a related field
  • 6+ years' of experience as a Data Scientist
  • Strong people management capability, 2+ years of working in a leadership role preferred
  • Experience with various programming languages (Python, R)
  • In-depth knowledge of applied data science
  • Strong experience of both probability and statistics
  • A firm understanding of mathematics (including the role of algorithm theory in machine learning and complex algorithms that are needed to help machines learn and communicate)
  • Experience with various hyperparameter tuning approaches, databases, and cloud technology
  • Extensive experience to communicate analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form
  • Collaborative individual who thrives in a team environment, specifically within a matrix organization
  • Innovator and creative problem solver to tackle complicated issues
  • Analytical, critical thinker with a bias for action
  • Working understanding with CRISP-DM, Agile data science framework, and XP Programming, and how they're applied in workplace culture

We offer a unique greenfield environment to drive change in a global business, open space in a vibrant start-up corporate incubator, lots of possibilities for professional development, international team, friendly and supportive colleagues, competitive compensation package, team lunches, monthly drinks, and other perks.