Product Data Scientist
Lucid
Prague
před 22 hodinami

As a Product Data Scientist you will have the opportunity to collaborate with product and engineering teams to work on measurement products, Identity, Trust and Safety measures and more.

This includes product analyses, validation and establishing statistical methodology standards and development. The right candidate has the ability to independently research, develop and maintain products that align Lucid capabilities with market claims.

Responsibilites

  • Supports research and discovery phase for new and existing products. The primary areas include but are not limited to trend analyses, data integration, generalization, harmonization, as well as working with different data sources.
  • Collaborates with cross-functional teams to design, implement, and test new and existing measurement methodologies.
  • Qualifications

  • Masters degree or equivalent experience in Statistics, Operations Research, or other hard sciences (e. g. Engineering, Computer Science, Physics, etc.
  • with outstanding analytical expertise

  • Ability to manipulate, analyze, and interpret large data sources
  • Strong knowledge of advanced statistical techniques and concepts, such as, but not limited to, properties of distributions, hypothesis testing, parametric / non-parametric tests, survey design / analysis, sampling theory / methodology, experimental design, regression / predictive modeling, proper usage of correct statistics, etc.
  • Basic Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
  • and their real-world advantages / drawbacks.

  • Proficient in Python (as statistical package tool) and / or R
  • Proficient in SQL and working with large-scale databases
  • Strong communication skills (written and oral)
  • Nice to have

  • Experience in media measurement and digital attribution
  • Experience in online survey methodologiesExperience employing causal inference methods
  • Experience in Identity graphs and fraud detection methodologies
  • Experience utilizing high-level programming languages (e. g. Python, R)
  • Experience working with big data technologies (e. g. Spark) and / or machine learning
  • Lucid's Hiring Commitment

  • We understand that many candidates may not be perfectly qualified for a job posting. Experience comes in different forms;
  • many skills are transferable and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a dynamic, collaborative environment.

    We want you to learn new things in this role, and we encourage you to apply if your experience is near the desired qualifications.

    We also know that diversity of background and thought can enhance problem-solving and encourage more creative thinking, which is why we're dedicated to adding new perspectives to the team.

    At Lucid we foster a collaborative and inspiring workplace. We pride ourselves in doing this by recruiting, hiring and retaining diverse, passionate, and forward-thinking talent.

    Lucid is committed to and encourages an inclusive environment and we are dedicated to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

    If you have a disability or special need that requires accommodation, please let us know.

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