Shape the future today.
The world is changing. The question is what will be our contribution to the outcome? We have set the pace in the field of mobility from the very beginning, and we will continue to do so. At Mercedes-Benz Vans, interdisciplinary teams are developing the mobility of tomorrow. Our goal is to make mobility safer, simpler, and more sustainable for people across the globe. Put your pioneering spirit to good use: This is your opportunity to make a contribution that extends far beyond your job title.
At Mercedes-Benz Vans, we offer you the perfect environment for your professional and personal growth. Cutting-edge training and promising career opportunities will help you to foster and expand your professional skill set as well as your individual strengths. Think, try, and thrive with us in collaborative work environments that spark game-changing concepts.
Job Overview:
The Data & Analytics Developer helps business clients to set up infrastructure for Data Analytics and Big Data systems. He/she should manage and design data-driven controlled experiments by collecting relevant data from various sources. He uses Statistics and Machine learning methods to discover hidden patterns and information in the client's datasets. These insights help in growing the business and decision-making.
Responsibilities:
- Synthesizes business requirements and develops innovative analytics solutions that meet customer requirements
- Develops and manages project plans, test designs and other documents
- Maps data sources, documents data architecture, data interfaces, and data movement to have an accurate view of the larger data picture
- Analyzes structural requirements and builds data pipeline and models for new software and data analytics applications
- Manipulates and analyzes complex, high-volume, high-dimensional data using data analysis techniques
- Works on data modelling, metric development, data prototyping, and insight generation using statistical techniques
- Uses Machine Learning algorithms, libraries and tools to build machine learning and statistical models
- Defines ways to capture the relevant data and pre-processes and cleans the data for analysis
- Deep dives into massive data sets to answer key business questions
- Performs analytics and visualization of datasets using data mining techniques
- Evaluation and recommendation of new data management and storage technologies and standards
- Supports projects and actively participates in the related international Center of Competencies (CoC).
- Supports the implementation of IT modules and IT components and interfaces, including the adaptation or extension of associated databases. Plan and execute appropriate tests, and coordinate the implementation of rollouts with all internal and external stakeholders. Responsible for creating and updating relevant system and process documentation.
- Advises and assists the users in respective business area regarding the relevant IT environment. Optimize IT processes and systems.
- Provide support in ensuring high quality and high available system solutions taking into account the internal IT processes for demands, incidents, requests and problem management.
- Supports projects and the Center of Competency to optimize the amount of function in regards to enhancing the effectiveness and efficiency, taking into account the Daimler standards.
- Responsible for Application Operations for all business systems in their area.
- Plan and monitor related costs for change and run.
- Bachelors or Master's degree and at least 2 - 5 years of experience in the field or a related area just is Mathematics, Computer Science, Physics or Statistics
- Experience in a consulting or client-facing environment
- Good knowledge of database warehousing principles and tools
- Good knowledge of Business Intelligence and visualization tools
- Excellent understanding of machine learning techniques and algorithm
- Technical expertise regarding data models, data mining and segmentation techniques
- Advanced technical skills in Database and SQL
- Knowledge of statistics and statistical packages and libraries
- Design and implement software solutions
- Ability to understand internal business processes
- Experience with moderating meetings
- Basic technical/technological application knowledge about common IT systems and tools
- High sense of responsibility and able to work unsupervised
We are all in for change. Are you too? Apply now.
If you have experience in the above and are interested in joining an outstanding company, we welcome you to apply. The division Mercedes-Benz Vans is world renown for quality and innovative products.
EXCELLENT COMPENSATION & BENEFITS PLAN WITH 401k MATCHING
Mercedes-Benz Vans, LLC (“MBV”) is a plant in Ladson, South Carolina that produces Sprinter vans for the U.S. and Canadian market under the brands Mercedes-Benz and Freightliner. The midsize Mercedes-Benz Metris vans are also reassembled at this location.
Mercedes-Benz Vans, LLC invested 500 million U.S. dollars in the construction of a new Sprinter production plant in addition to an expansion of the previous assembly operations. In September 2018, MBV officially opened its new plant, located next to existing operations in the North Charleston area. The MBV facility will provide up to 1,300 jobs by the end of the decade and is expected to create at least 600 additional jobs in the region through its suppliers.
More than 130,000 Sprinters have been assembled in North Charleston and delivered to destinations in the U.S. since 2006. The U.S. is now the second largest market for Sprinter vans, after Germany.
Mercedes-Benz Vans, LLC is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, sex (including pregnancy, gender identity, and sexual orientation),age, national origin, religion, marital status, veteran status, physical or other disability, genetic information, or any other characteristic protected by federal, state or local law.
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