Senior Technical Consultant

About The Team

The Centric Planing 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. The ability to deal with customers and handle customer situations will be key. 

Responsibilities

• Work closely with project manager and internal team members as well as customers on onboarding projects
• Use insights from business consultant 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. Being 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
• Training of mathematical models in AI/ machine learning and statistical learning that describe the effects of prices and promotions on purchasing behaviour, including behavioural 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.
• Collaboration 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
• Interfacing 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.