Data Scientist Test
KIA Motors AmericaAt Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.
Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and time off starting at 14 days per year. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status
Summary
We hope that a resourceful and experienced data scientist will join our fast-growing KIA automotive industry's Big Data Center in the US. This position will play an important role in executing data analysis for Kia Motors North America Regional Head Quarter subsidiaries (KMA/KCI/KMMG/KMM). In this role, you should be highly analytical with a skill for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for statistics and machine-learning. We believe a mix of data, analytics, automation, and responsible AI can do almost anything. As an automotive company, data will also be at the core of everything between internal and external customers in the future.
Major Responsibilities
1st Priority - 50%
Data Pre-Processing and Analysis
- Assess the accuracy of new data sources
- Understanding the relationship between the data and the business process
- Undertake preprocessing of structured and unstructured data (Cleaning and organizing raw data)
- Analyze large amounts of data to discover trends and patterns
- Build predictive / optimizing models or algorithms
- Coordinate with different functional teams to achieve better analysis result
2nd Priority - 30%
Assess, Visualize and Improve Analysis Result
- Testing and continuously improving the accuracy of statistical or machine learning models
- Present information using data visualization technique
- Continuously monitoring and testing the deployed analysis result to ensure optimized performance
3rd Priority - 20%
Collaborate IT Team to deploy analysis result
- Building APIs for data and analysis result consumption
- Assist the IT system developers to make analysis result as a service
Education/Certification
- Bachelor’s degree or equivalent experience in related field of technology required
- Certification(s) in data analysis field is highly desirable
Overall Experience
- Experience querying databases and using statistical computer languages (SQL, R, Python etc.)
- Experience using Hadoop echo system (Hadoop, Hive, Impala and Spark etc.)
- Experience using statistics, machine learning and deep learning algorithms
- Experience visualizing data using visualization tools (Power BI, MicroStrategy, Tableau etc.)
Preferred Experience:
- 3+ years of experience preferred
- Master’s degree in data analysis preferred
Directly Related Experience
N/A
Skills
Competencies
Equal Employment Opportunities
KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.
Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.