Our client leading global automobile company is looking for a strong Data Scientist, within the IT Team.
(Due to covid-19, this is an (almost) 100% work-from-home position, and they will be working towards making WFH a normal practice even after the Covid-19 situation ends.)
If you have the matching skills, please apply asap.
- Utilize large datasets to find opportunities for process optimization
- Build and implement models using a variety of data mining/data analysis tools
- Drive analytics use cases within the business
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Develop Machine Learning based analytics solutions
Your Key Tasks will be:
Process Optimization Using Data Analysis
- Identify valuable data sources and automate the collection process.
- Undertake to preprocess of structured/unstructured data from a variety of systems, interfaces, et. al.
-Analyze large amounts of information to discover trends/patterns.
Building & Implementing Models from Data
- Build predictive models and machine learning algorithms
- Combine various models through ensemble modeling
Present Data & Solutions to Business Stakeholders
- Summarize and present key findings and solutions using various data visualization techniques such that the data is easy to grasp to non-experts.
- Propose solutions and strategies based on collected data and addressing specific business challenges. Collaborate with the IT Engineering and Product Development team as well as the business
- Recognize when existing requirements are not precise enough to arrive at a usable and implementable solution
- Communicate with requirement owners to indicate possible technical feasibility issues.
【会社概要 | Company Details】
Large global automobile manufacturer based in Germany. This company is Japan's leading brand, known for its high customer satisfaction performance.
【就業時間 | Working Hours】
9:00‐ 18:00（Mon‐ Fri）
【休日休暇 | Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays
【待遇・福利厚生 | Services / Benefits】
各種社会保険完備（厚生年金保険、健康保険、労災保険、雇用保険）、 屋内原則禁煙（屋外に喫煙所あり）、 通勤交通費支給等
Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.
- Experience manipulating data sets and building statistical models, Coding knowledge and experience, Knowledge and experience in statistical and data mining techniques.
- Experience querying databases and using statistical computer languages.
- Experience in creating and using advanced machine learning algorithms and statistics.
- Experience with distributed data/computing tools.
- Experience visualizing/presenting data for stakeholders