Data Scientist
3 weken geleden
About Your Role:
The Data Scientist will be part of the European Materials Group Finance team, working on challenging business problems to drive better business insights, improve efficiency, and unlock value for our customers. This role involves interacting with business leaders across functions and engaging the business in data-driven debates.
Your Responsibilities Will Include:
- Interpreting and analyzing data using exploratory mathematical and statistical techniques based on the scientific method
- Formulating and leading guided, multifaceted analytic studies against large volumes of data
- Coordinating research and analytic activities utilizing various data points, unstructured and structured, and employing programming to clean, massage, and organize the data
- Analyzing problems and determining root causes
- Translating complex results into simple, clear conclusions and visualizations
- Explaining sophisticated data science concepts in an understandable manner
- Defining company data assets, data models, and jobs to populate data models
- Working closely with all European business units and cross-functional teams to develop future models with the ability to link results to business processes
- Coordinating with Data Engineers to build data environments providing data identified by Knowledge Managers and Analysts
- Experimenting against data points, providing information based on experiment results, and providing previously undiscovered solutions to command data challenges
Qualifications:
What We Will Be Looking For In You:
- Bachelor's, Master's degree (preferred), or other advanced degree required in computer science, business analytics, applied mathematics, statistics, machine learning, or other data-centric discipline
- 4+ years of relevant industry work experience providing advanced analytics solutions, with a focus on forecasting-based models
- Proficiency with one or more programming languages: Java, NodeJS, Python, R
- Knowledgeable in some Cloud and Big Data technologies, such as Microsoft Azure, Azure Data Lake, Databricks, Google Cloud Platform, Apache Spark
- Analytics skills: descriptive statistical modeling & algorithms, machine learning algorithms, modeling dataset building, optimization, data visualization, pattern/cluster/segmentation analysis, predictive analytics, Analytics tools and Technologies like Qlikview, Cognos, Visual Basic, Apache, Oracle, SQL, GraphQL, NoSQL
- Exceptional record of academic achievement, professional accomplishment, project management, and leadership
- Passion for building and comfort working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
- Advanced analytical knowledge of data, ability to conduct big data analysis, data conditioning experience, programming advanced computing skill
- Additional experience in core analytic methods such as predictive modeling and customer and product segmentation/clustering
- Business sense: Basic knowledge of finance, manufacturing, and commercial business processes and ability to translate business needs into data and explain complex concepts in an understandable manner
- Project lead experience of cross-functional teams is strongly preferred
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