Data Science Consultant

JDA Software; Karlsruhe; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Blue Yonder is seeking a Data Science Consultant to maximize customer value through data-driven insights and optimized decision support. You will analyze customer data, translate results into actionable recommendations, and tailor software configurations to achieve maximum value from the platform.

You will work with regional and global teams, guide customers through success metrics, and evolve models with simulations and what-if analyses while traveling up to 10% as needed.

Qualifikationen

• Graduate degree in Operations Research, Statistics, or related quantitative field.
• Advanced knowledge of machine learning is preferred.
• Ability to translate data into business insights and value.

Aufgaben

• Perform data analysis to discover patterns and anomalies and translate results into insights.
• Present results and recommendations to support customers in improving data quality.
• Adhere to ITIL standards for support case management and SLAs.
• Extend, configure and train models; run simulations and what-if analyses.
• Travel to customer sites as required (up to ~10%).

Kenntnisse

Python

Data analytics

Dashboards

Machine learning

Business insights

German language

English (business fluent)

Communication

Ausbildung

Graduate degree in Operations Research/Statistics

PhD is a plus

Tools

Python scripting (pandas, scikit-learn)

Data visualization tools

Jobbeschreibung

Overview

The Data Science Consultant provides services that maximize the value of the customer’s business through data-driven insights and enhanced decision support. This role will be responsible for advising the customer and recommending software configuration alternatives and adapting the software that is configured to optimize the solution so that the customer may realize the maximum value from the software. Responsibilities: Perform data analysis to discover patterns, trends and anomalies in customer data, translate the results into actionable insights, and present results and recommendations to support customers in improving their data quality. Work as part of a regional and global support team, supporting customer running Pricing solutions and in the future our Cognitive solutions Extract and present data stories from customer data sets to demonstrate value of solution and guide the customer in their priorities Guide the customer through identification of success metrics Work with other members of the Blue Yonder team to understand domain issues and customer-specific requirements and translate them into model enhancement and tuning activities Adhere to ITIL standards for support case management when working with our customers, adhere and achieved specified SLAs and Case Quality Extend, configure and train models to support overall project objectives, and run simulations and what-if analyses to evaluate alternative scenarios Provide analytical services as part of a team conducting proofs-of-concept and identifying opportunities to create customer value Keep up with industry trends in data science practice and continuously improve the support team’s tools and methodologies Travel to customer and team work locations (according requirement, max around 10%)

Qualifications

German language - fluent English language - business fluent Graduate degree in Operations Research, Statistics, or a related quantitative field, is required, and advanced knowledge of machine learning is preferred Ability to elicit customers’ knowledge, both explicit and tacit, about business objectives, strategic concerns, and policies related to the scope and success of the project Able to translate complex data into business insights and opportunities to create value Ability to communicate analytic insights and recommendations to customers without a deep knowledge of statistics by relating data stories to business situations and processes Familiarity with business processes for retail, pricing, and supply chain management is preferred Demonstrated experience of script programming languages, preferably Python, for data analytics and machine learning applications Ability to create dashboards, visualizations, and reports to communicate statistical findings Capable of working with and selecting relevant subsets of large data sets PhD is a plus

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here:

Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

A Culture, Not just a Company

Our culture is built on collaboration, respect and having fun whenever possible. This along with ensuring we live our Core Values, enables us to learn, grow, create customer value, and manage the well-being of our collective ecosystem of partners, customers and associates alike. We rise each day with an unwavering commitment to lifelong learning, collaborating with respect, and operating with integrity.

What do we do?

Blue Yonder is the AI company for supply chain. As the world leader in end-to-end digital supply chain transformation, Blue Yonder offers a unified, AI-driven platform and multi-tier network that empowers businesses to operate sustainably, scale profitably, and delight their customers—all at machine speed. A pioneer in applying AI solutions to the most complicated supply chain challenges, Blue Yonder’s modern innovations and unmatched industry expertise help more than 3,000 retailers, manufacturers, and logistics service providers confidently navigate supply chain complexity and disruption.

“Blue Yonder” is a trademark or registered trademark of Blue Yonder Group, Inc. Any trade, product or service name referenced in this document using the name “Blue Yonder” is a trademark and/or property of Blue Yonder Group, Inc. Blue Yonder, Inc. - Administrative Office 15059 N Scottsdale Rd Suite 350 Scottsdale, AZ 85254-2666