At 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.StatusExemptSummary
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
2nd Priority - 30%
Assess, Visualize and Improve Analysis Result
3rd Priority - 20%
Collaborate IT Team to deploy analysis result
N/ASkillsExperience using statistical computer languages (R, Python, SQL etc.) to handle dataKnowledge of a variety of machine learning techniques including deep learningKnowledge of advanced statistical techniquesKnowledge and experience with NLP (natural language processing)Coding Knowledge and experience with several languages : C, C++, Java and Web programming languagesUnderstanding big data analysis technique: Map/Reduce, Hadoop echo system, Spark etc.Strong problem solving skills based on data analysisMust have excellent verbal and written communication skillsCompetenciesCustomer FocusPlanningPrioritizing and Organizing WorkDecision Making/JudgmentTeamworkAdapting to ChangeCHALLENGE - Solving Complex ProblemsCOLLABORATION - Building and Supporting TeamsCUSTOMER - Serving CustomersChampioning Customer NeedsCommunicating EffectivelyDelivering High Quality WorkEntrepreneurial ThinkingGLOBALITY - Showing Community and Social ResponsibilityManaging ResourcesPEOPLE - Interacting with People at Different Levels
Equal Employment Opportunities
KMA 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. KMA complies with applicable law governing non-discrimination in employment in every location in which KMA has offices. The KMA 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.