Job Description
Key Responsibilities:
Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources
Performs ad-hoc statistical and data-mining analysis , using statistical tools like R, SAS and MATlab; input and design of data acquisition systems, data structure and database design.
Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis, create visualization and dashboards using Tableau
Works in project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.
Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, understands the business data gathering processes of the business. Find opportunities for building models using machine learning techniques to solve business problems
In the framework of our Smart Factory initiative, we are looking for a data scientist that will help us better utilize the information hidden in vast amounts of data and help us make faster and smarter decisions to deliver even better value to our business Manufacturing operations. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our systems. The role will be about understanding the business constraints, applying those to the raw data coming from our SAP and other systems, creating alerts and predictive analysis, and finally creating the right visualization and dashboards for the various user communities.
Functional Knowledge
- Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines
Business Expertise
- Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market
Leadership
- Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements
Problem Solving
- Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
Impact
- Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies
Interpersonal Skills
- Explains difficult or sensitive information; works to build consensus
Skills and Qualifications
- Good communication skills
- Minimum 3 years’ experience in similar roles
- Proficiency in using query languages such as SQL
- Good practical experience with data lake like Hadoop
- Experience with data visualization tools, such as Tableau, etc.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good knowledge in deploying AI and/or ML models, and understanding of machine learning techniques and algorithm
- Data-oriented personality
