(Senior) Data Science Consultant

CENTRIC SOFTWARE; Düsseldorf; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading software consultancy in Düsseldorf is seeking a (Senior) Data Scientist/Consultant to leverage AI in pricing and inventory decisions. Candidates should have excellent SQL skills, 3+ years in data analytics, and hands-on experience with Python or R. The role involves collaborating with clients and project managers, ensuring accurate data flows, and delivering innovative solutions. A flexible working environment is offered.

Leistungen

Competitive salary

Flexible remote work

Varied challenging work

Qualifikationen

• 3+ years of experience in data analytics, ideally in retail or consumer products.
• Ability to explain data concepts to non-technical audiences.
• Experience with big data environments is a plus.

Aufgaben

• Partner with project managers, consultants, and clients throughout onboarding projects.
• Serve as the technical point of contact for data science topics.
• Work closely with product management to prototype and implement ideas.

Kenntnisse

Excellent SQL skills

Outstanding analytical abilities

Hands-on experience with Python or R

Strong communication skills in English

Ausbildung

Degree in computer science, data science, mathematics, statistics, physics, economics

Tools

Python (Pandas, Numpy, Matplotlib)

SQL

Jobbeschreibung

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.

Centric Software provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status or genetic information.