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Senior Technical Consultant

2 mesi fa

Milano, Lombardia, Italia Centric Software A tempo pieno

About the Team

The Centric Software Business Unit is a fast-growing, fast-paced team, with many exciting opportunities for the entrepreneurial-spirited individual who wants to be a part of the most innovative AI-based in-season pricing & inventory solutions in the industry.

This team requires a real sense of initiative and autonomy to deal with everyday situations. Centric is aggressively penetrating the fashion/apparel, beauty, and home markets with solutions in Market Intelligence & Trends, and Price & Inventory optimization automation.

Responsibilities

  • Work closely with project managers and internal team members as well as customers on onboarding projects.
  • Use insights from business consultants on customer-specific processes to ensure all relevant data is being considered/transformed in order to find the best fitting models for the customers.
  • End-to-end technical ownership. Be a point of contact for any technical-related topics from data engineering & data science about the product.
  • Explain complex data engineering or data science-related topics to non-technical stakeholders and customers.
  • Analyze, suggest, and prepare AB test setups.
  • Train mathematical models in AI/machine learning and statistical learning that describe the effects of prices and promotions on purchasing behavior, including behavioral price effects.
  • Ensure the accuracy of the models, development of model validation (back-testing) methods to quantify the impact of the solutions on our clients' business.
  • Collaborate with product management to generate ideas and quickly turn them into efficient, well-tested, working code (R and Python).
  • Ensure all customer-specific time & effort is being tracked accurately.
  • Ensure stable data flow incoming and outgoing.
  • Interface with customers and external partners to align on data formats and transmission schedules.
  • Responsible for transforming (normalizing and standardizing) and storing incoming and outgoing data.
  • Responsible for documenting the solution architecture for each customer.

What You Bring

  • A degree in either computer science, data science, mathematics, statistics, physics, or economics or a comparable field.
  • Familiarity with relevant topics in mathematics and statistics.
  • Familiarity with libraries like Numpy, Pandas, Matplotlib, and Statsmodels; PySpark familiarity is a plus.
  • Good SQL skills.
  • Excellent communication skills in English, other language is a plus.
  • 3+ years of hands-on experience in data analytics, ideally in a retail or consumer products space.
  • Comfortable analyzing large data sets using tools such as SQL, Python, and R, and are comfortable navigating big data environments.
  • Experience with customers and stakeholders and ability to explain highly technical data science-related topics in a language suitable for your audience.