STAFF DATA SCIENTIST*

New Yorker; Braunschweig; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A dynamic fashion retailer in Braunschweig seeks a Staff Data Scientist to design and implement data-driven solutions across business areas, including pricing and supply chain. Candidates should have over 7 years of experience, strong Python skills, and a background in the fashion or e-commerce industry. This permanent position offers an attractive salary, 30 vacation days, and numerous benefits including a staff discount. Fluency in German and English is required.

Leistungen

30% staff discount

Company events

Training opportunities

Qualifikationen

• 7+ years of relevant working experience.
• Experience in the fashion, retail, or e-commerce industry.
• Comfortable working with uncertainty and ambiguity.
• Fluent in German and English.

Aufgaben

• Design and deliver complex projects in pricing and supply chain.
• Grow and manage business contacts to understand processes.
• Implement advanced machine learning models and lead teams.
• Partner with engineering teams to deploy data products.

Kenntnisse

Python

Data science frameworks (pandas, NumPy, etc.)

SQL

Data engineering stack (Spark, Hadoop)

Communication skills

Team skills

Ausbildung

University degree in STEM disciplines

Jobbeschreibung

Overview

STAFF DATA SCIENTIST*

THIS IS US

The Data Science department uses statistical modeling, machine learning and optimization techniques to continuously improve business processes at NEW YORKER. We work in agile project teams on a variety of use cases, including order optimization, pricing, distribution and logistics. We are a very ambitious and international team and are proud of our high standards.

Responsibilities

• Design and deliver complex mission-critical projects across our key business areas (e.g., pricing, supply chain, order/warehouse planning).
• Actively grow and manage a network of business contacts in order to understand business processes, how they are represented in data and the main challenges faced by the business.
• Based on your extent experience, identify potential Data Science use cases, assess their value potential and design a roadmap for their implementation.
• Get your hands dirty, i.e., end-to-end implement advanced machine learning models, contributing directly to projects and leading and guiding other Data Scientists.
• Partner with strong data engineering and software engineering teams to deploy, integrate, and maintain data products.
• Coordinate with head, team leads and other individual contributor leaders to realize impactful solutions that shape the company’s data and process environment.
• Weigh in on decisions that impact other teams or the company at large and support projects and project leads in defining roadmaps, visions and directions for long-term projects.
• Provide advice if appropriate and guide the team towards the simplest possible solution to fulfill the business requirements and provide optimal net present value.
• Teach, coach and guide the team through highly insightful, comprehensive code reviews, and facilitate a knowledge-sharing culture in the department.
• Drive data science initiatives and shape the company’s long-term machine learning and AI strategy.

Qualifications

• University degree (STEM disciplines) with 7+ years of relevant working experience
• Experience in the fashion, retail, or e-commerce industry
• Data Scientist with keen interest in software engineering or former software engineers with a proven track record of Data Science projects
• Comfortable working with and managing uncertainty and ambiguity
• Excellent knowledge of Python and relevant data science frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc.)
• Good knowledge of SQL and the Python data engineering stack (e.g. Spark, Hadoop)
• Team skills, communication skills and hands-on mentality
• Well-organized, structured and self-driven while aligning proactively with the team
• You speak fluent German and English

Benefits

• A secure, permanent job in an internationally operating company in a future-proof industry that is characterized by growth
• Participation in shaping the digital transformation in an innovative company
• Permanent employment contract with 30 days of vacation, an attractive salary and further training opportunities/career model
• A structured onboarding and mentoring program in a great team with international colleagues, a “Duz Kultur” and open doors
• Numerous benefits, such as a 30% staff discount at our NEW YORKER stores, company and team events, and canteens with a diverse food selection

Get in contact

NEW YORKER Group-Services International GmbH & Co. KG

Contact: Aayush Sarma | Recruiting Specialist

P [phone] - 5421

www.newyorker.de/Jobs