Senior Technical Consultant
1 settimana fa
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.
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