Data Science Consultant

Blue Yonder; Frankfurt; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology solutions firm in Frankfurt is seeking a Data Science Consultant to maximize value through data-driven insights. Responsibilities include performing data analysis, supporting customers in improving data quality, and developing dashboards. The ideal candidate will be fluent in German and English, possess a graduate degree in a related field, and demonstrate experience in data analytics with Python. This role emphasizes communication of analytical insights and keeping up with industry trends.

Qualifikationen

• Fluent in both German and English.
• Graduate degree in a quantitative field required.
• Experience in translating complex data into insights.

Aufgaben

• Perform data analysis to discover patterns in customer data.
• Support customers in improving their data quality.
• Develop dashboards and visualizations.

Kenntnisse

Fluent in German

Business fluent in English

Ability to communicate analytic insights

Familiarity with business processes for retail

Experience with Python for data analytics

Ausbildung

Graduate degree in Operations Research, Statistics, or related field

PhD (preferred)

Tools

Data analysis software

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