Data Scientist

IT-Systemhaus der Bundesagentur für Arbeit; Schwerte; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading tech department is looking for a passionate Data Scientist to develop automated models and drive business efficiency through analytics. The ideal candidate should possess a Master's in data science or a related field, have strong Python skills, and the ability to handle complex data. Responsibilities include strategizing AI use, collaborating with various teams, and ensuring data integrity. Join us to make an impact at a Fortune 200 company.

Qualifikationen

• Strong project management skills for concurrent projects.
• Ability to handle complex information effectively.
• Tech-savvy and curious about digital innovations.

Aufgaben

• Develop strategies using AI for business processes.
• Produce data science models using the European Data Platform.
• Improve business efficiency through data analysis.

Kenntnisse

Data extraction and cleaning

Mathematics and statistics

Machine learning adaptation

Custom coding

Analytical techniques selection

Computational efficiency

Ausbildung

Master’s Degree in data science or related fields

Tools

Python

R

SQL

Jobbeschreibung

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

Position Summary

Are you a passionate Data Scientist looking to make a significant impact at a Fortune 200 company? Join our team and apply your expertise in machine learning and analytics to drive business efficiency and revenue growth.

You will be instrumental in developing semi-automated and automated data science models for Compass and other channels, working closely with IT, the Center of Excellence (COE), and other internal collaborators. The ideal candidate will be highly analytical, possess deep machine learning expertise, and be able to translate business questions into actionable insights and predictive models.

Responsibilities

• Develop strategies to use artificial intelligence and automation for enhancing business processes.
• Produce semi-automated and automated Data Science models for Compass and other channels using the European Data Platform with the support of IT, the COE, and other internal teams.
• Apply machine learning to expand Data Science capabilities and identify new business opportunities.
• Deliver impactful data science recommendations and leads to Sales with high business impact on revenue and sales efficiency.
• Collaborate with Marketing, Portfolio Management, and Sales teams to identify business needs and translate them into quantitative analyses.
• Improve business efficiency by identifying and evaluating the business opportunities that can be translated into Data Science models and used by the Sales & Portfolio team.
• Apply sophisticated data algorithms to design and optimize models that increase engagement on Digital Commerce.
• Generate leads and drive revenue by identifying gaps and opportunities using data.
• Respond to ad hoc analysis requests promptly and efficiently.
• Manage the quality of data in the platform for Europe by ensuring accuracy in tables used for reporting and modeling: submit tickets for data correction or integration.

Skills

• Extract and clean data from multiple sources, ensuring accuracy and validity.
• Employ mathematical and statistical techniques to develop real-time predictive systems.
• Adapt business problems to the most efficient machine learning algorithms.
• Write custom code to create unique solutions.
• Select and explain the best analytical techniques for various problems.
• Create computationally efficient solutions.

Qualifications

• Master’s Degree with a strong background in data science, analytics, statistics, applied math, or related fields, OR
• Experience in business analytics; pricing or marketing analytics is a plus.
• Strong project management skills with the ability to run multiple concurrent projects.
• Excellent team spirit and social skills.
• Outstanding written and verbal communication skills, capable of effectively communicating across various business sectors and with teams worldwide.
• Proficiency in Python; familiarity with R, SQL, and other programming languages is encouraged.

Non‑Negotiable Hiring Criteria

• Ability to handle complex information effectively.
• Tech‑savvy, with a curiosity about adopting digital and technological innovations.
• Strong oral, written, and presentation skills.
• Self‑motivated and able to work independently.
• Capable of working well across multiple functional areas.