(Senior) Data Science Consultant

CENTRIC SOFTWARE INC; Deutschland; Remote; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A leading software solutions company in Germany is seeking a (Senior) Data Scientist/Consultant to help top brands optimize pricing and inventory through advanced data techniques. In this role, you will collaborate with clients, translate business needs into data solutions, and communicate effectively with non-technical stakeholders. A strong background in SQL and Python is required, along with at least 3 years of relevant experience. The position offers a competitive salary and the flexibility of remote work.

Leistungen

Competitive salary and benefits

Remote work flexibility

Challenging projects

Qualifikationen

• 3+ years of experience in data analytics, ideally in retail or consumer products.
• Hands-on experience with Python or R.
• Ability to explain data concepts to non-technical audiences.

Aufgaben

• Partner with project managers, consultants, and clients.
• Communicate technical concepts to non-technical stakeholders.
• Train and validate statistical and machine learning models.

Kenntnisse

SQL skills

Analytical abilities

Experience with Python

Communication skills in English

Ausbildung

Degree in computer science, data science, mathematics, statistics, physics, economics or a related field

Tools

Python (Pandas, Numpy, Matplotlib)

R

PySpark

Jobbeschreibung

Overview

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

• 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.

• 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.

• 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.