Product Manager - Data Science

at  buynomics

Köln, Nordrhein-Westfalen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate17 Dec, 2024Not Specified21 Sep, 2024N/AGood communication skillsNoNo
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Description:

ABOUT BUYNOMICS:

“What will customers buy?” is the crucial question underlying all commercial decisions in all companies. Buynomics has developed Virtual Customer technology, which answers this question 100x faster and more precisely than every other solution. This will end the common practice of gut feeling and Excels. Our goal is to enable companies to make data-driven, transparent, and customer-centric commercial decisions. For that, we build the operating system for commercial decisions that provides companies with a single source of truth to answer all their market-facing questions including pricing, product offers, and promotions.
Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more!

Responsibilities:

  • Work directly with Engineering teams in a squad structure to drive product development in data engineering and data science areas
  • Collaborate closely with the Lead Product Manager and Head of Product to shape and execute the product roadmap
  • Translate complex data science concepts into user-friendly product features
  • Define and prioritize product requirements for data-driven features and capabilities
  • Conduct user research and analyze data to inform product decisions
  • Manage the product backlog and work with engineering to plan sprints
  • Coordinate with other product teams to ensure cohesive product development across the platform
  • Communicate product vision, strategy, and roadmap to various stakeholders
  • Monitor KPIs and success metrics for data-related features and initiatives


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer science data science or a related field (master's degree is a plus

Proficient

1

Köln, Germany