Data Scientist

Key Skills

Agile methodologies, Analytical and Problem solving, Business Intelligence, Chinese, Data Analysis, Data Mining, Data science techniques, Effective communication skills, English Proficiency, German Language, JavaScript, MATLAB Programming, NoSQL, Oracle, Perl Programming, PowerBI, Python Programming, SAS, SQL, SQL Server

Job Description

Objectives:

• We want to speed up the digital transformation of BASF Coatings. It is our ambition to become a data-driven organization and leverage on data science to promote efficiency and support business growth.
• As data scientist you’ll create advanced machine learning models, algorithms, and systems to extract insights from data
• Apply analytics, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling
• As a data scientist you’ll be responsible for supporting the development of computing resources and custom enterprise-level tools to be used by analysts, developers, and other professionals

Main Task:

• Work face to face with business stakeholders to understand paint points, needs and determine use cases on how to apply data science to create value
• Explore and examine data to find hidden patterns
• Browse and analyze enterprise databases to simplify and improve product development, marketing techniques, and business processes
• Use predictive models to improve customer experience, revenue generation, and more
• Explore and identify potential use of Machine Learning models in user stories.
• Support the building, implementing and operationalizing digital products, enhance as well as document their statistical and machine learning models.
• Foster usage and demand of data analytics as well as visualizations and support end-to-end process analysis
• Work together with Data Stewards and Data Engineers to enhance data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Coordinate with various technical/functional teams to implement models and monitor results
• Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
• Be part of the global BASF data team/community, actively learn and contribute
• Master of Science or PhD in computer science, business informatics, mathematics, physics, engineering or similar fields.
• At least more than 2 years of working experience in data science or advanced data analysis
• Familiar with agile methods and advanced experience in pattern recognition and predictive modeling
• Expertise with statistics tools, e. g. Matlab,SAS, relational databases, e. g. Oracle, SAP R/3 or MS SQL, scripting tools , e.g. Python, Pearl or JavaScript, Query tools (SQL or noSQL) and Business Intelligence tools, e. g. Power BI.
• Knowledge of Machine Learning techniques, including decision tree learning, clustering, artificial neural networks, etc., and their pros and cons
• Knowledge and application experience in advanced statistical techniques and concepts, including, regression, distribution properties, statistical testing, etc
• Experience/knowledge in statistics and data mining techniques, including, random forest, GLM/regression, social network analysis, text mining, etc.
• Have sharp analytical and problem-solving skills as well as excellent team spirit.
• Experience using and developing data architectures
• Business fluent Chinese skills
• Business fluent English skills
• German fluent skills (is a plus)