Data Scientist

Amsterdam | Netherlands | Digital

General Purpose

As Data Scientist you support the development of a defined area of data science topics across the full analytics cycle: from framing business need, through data exploration and modelling to operationalization. You execute advanced modelling techniques to create segmentations and ultimately generate consumer insights. Thus, your team is the key enabler for personalization across all touchpoints and funnels.

Key Responsibilities 

Scope:   Execution of advanced modelling in specific data science areas

Data Science

Contribute to the development and apply defined set of advanced analysis methodologies to optimize customer acquisition, engagement, conversion, experience and loyalty. This includes framing of business needs, data exploration as well as descriptive, predictive and prescriptive modeling.

Contribute to the generation of insights to increase the understanding of adidas consumers, exploring their affinities and intents, in order to make the best recommendations to individual consumers through the right digital channel at the right time.

Continuously improve our way of working by refining our methodologies for the assigned scope, challenging the status quo and raising the standards for faster delivery.

Support improvement and automation of the data science platform and our machine learning pipeline to facilitate our data science activities and serve near real time use cases.

Data Science Network & Storytelling

  • Prepare coaching sessions for colleagues in state-of-the-art analytic techniques, data science, data engineering, data governance, and software development.
  • Prepare analysis results and insights to be presented to colleagues at all levels, in a way that allows them to understand the value of your work, apply your output, and realize business potential.

Segmentation

  • Support the development of customer segmentations, acquisition and retention strategies, predictive modelling, customer lifetime value metrics and marketing effectiveness measures.

Responsibilities

Product Ownership

  • Specify product vision, roadmap as well as user stories for respective data product.
  • Prioritize the items in your product backlog. Specify the definition-of-done in cooperation with the product team.
  • Iteratively build actionable insights and results valuable to the business and stakeholders, using appropriate techniques and adhering to our data science methodology and standards for code, analysis and results.
  • Lead one or more stakeholder relationships.

Requirements

Education & Professional Experience

  • University degree in the a numeric / statistical discipline (M.Sc. or PhD)
  • 5+ years of experience in analytics in a Digital and/or eCommerce environment, strong knowledge of the digital industry (products, technologies, solution providers, commercial models, trends)
  • 3+ years of professional experience in an international & cross-functional environment
  • Experience in managing a team is a plus

Soft-Skills

  • Good communication skills, comfortable presenting complex topics to stakeholders at various organizational levels both in person and remotely
  • Good interpersonal skills, good leadership skills
  • Proven team player than that can collaborate across functions and organizations

Hard-Skills

  • Strong coding skills using common data science toolkits
  • Strong knowledge in applied statistics, distributions, statistical testing, data mining and machine learning algorithms
  • Experience with NoSQL data bases
  • Experience on data aggregations, data models and operationalization of data mining algorithms
  • Experience in developing Customer profiles, CLTV, attribution model, lookalike modeling, clustering, and classification and segmentation models on large and sparse data sets.
  • Fluent English both verbally and written
Apply here

adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an Equal Opportunity Employer.

At adidas, every day is a chance to flip the script. An invitation to take everything we know and re-invent it. Do it better. Never settling for good enough. Every day we get up, invent, adapt, improvise, find new ways to collaborate, and do the unexpected. We’re creators, makers and doers. Helping athletes make a difference, not just in their games, but in their lives and in their world. It’s an obsession.

We’ve been doing this for more than 65 years. With an unmatched history and tradition of creating iconic products, consumer connections and experiences, we’ve been defining sport culture since the beginning. And we’re never done. Come be a part of shaping the future together with us.

The Facts

Jobtitle Data Scientist
Team Digital
Brand adidas
City Amsterdam
Location Netherlands
Number 195262
Position Type Full time
Date Apr-29, 2019
Relocation yes

Sounds great for you? We would love to have you here.

Apply here

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Welcome to the Netherlands!

Get ready to build your career with one of the leading sporting goods companies in the world. When you join us in the Netherlands, you become a brand ambassador, living and breathing sport and a sporting lifestyle. The adidas culture in the Netherlands is best described as a high intensity group of problem solvers who aspire toward excellence and settle for nothing less. We are open, friendly, and hardworking and are known for our direct communications. Healthcare and education are a top priority in Dutch culture. Working here, you'll have an extensive choice of schools for your children and a wide range of affordable healthcare benefits. Additional adidas benefits include a pension plan, company sports, staff discount and much more.

Facts about Amsterdam

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  • Amsterdam Fact-Sheet

  • Healthcare Insurance
  • On-Site Daycare
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  • Next airport to the location
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