Homeoffice (Senior) Data Science Consultant bei CENTRIC SOFTWARE INC
CENTRIC SOFTWARE INC · Dusseldorf, Deutschland · Remote
- Senior
About the Role:
At Centric, we help some of the world’s most recognized fashion, beauty, and home brands make smarter pricing and inventory decisions with the power of AI. As a (Senior) Data Scientist / Consultant, you’ll combine deep analytical expertise with a consulting mindset — applying advanced data techniques while working directly with clients to turn insights into measurable impact.
This role is ideal if you enjoy problem-solving, explaining complex concepts clearly, and collaborating with international teams to deliver innovative solutions.
What You’ll Do:
Customer & Project Engagement
- Partner with project managers, consultants, and clients throughout onboarding projects.
- Translate business processes and customer requirements into actionable data transformations and modeling approaches.
- Communicate technical concepts to non-technical stakeholders in a clear, approachable way.
Data & Model Ownership
- Serve as the technical point of contact for data science and data engineering topics.
- Ensure accurate, stable, and well-documented data flows (incoming and outgoing).
- Design, prepare, and analyze A/B test setups.
- Train and validate statistical and machine learning models to quantify the impact of pricing and promotions.
Collaboration & Delivery
- Work closely with product management to prototype and implement ideas into efficient, well-tested code (R and Python).
- Track project-specific effort and ensure solution documentation is reliable and complete.
- Interface with customers and partners to align on data formats and transmission schedules.
What You Bring:
Must-Haves
- Excellent SQL skills and outstanding analytical abilities.
- 3+ years of experience in data analytics, ideally in retail or consumer products.
- Hands-on experience with Python (Pandas, Numpy, Matplotlib) or R.
- Strong communication skills in English, with the ability to explain data concepts to non-technical audiences.
- Degree in computer science, data science, mathematics, statistics, physics, economics, or a related field.
Nice-to-Haves
- Experience with big data environments (e.g., PySpark).
- Familiarity with statistical modeling or behavioral price effects.
- Additional languages beyond English.
Why Join Us:
- Competitive salary and benefits.
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities at the forefront of applied AI.
- Varied and challenging work to help you grow your technical skillset.
- Enjoy the flexibility of remote work with a dedicated and motivated global team with deep expertise in pricing and inventory optimization.