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Data Scientist

Date: Jul 30, 2021

Location: Irvine, California, US, 92606

Company: Kia America, Inc.

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.

Status

Exempt

Summary

We are greatly pleased to announce our search for a resourceful and experienced data scientist to join our fast-growing Kia United States (KUS) Big Data Center. This position will play an important role in executing data analysis for Kia North America’s regional subsidiaries (KUS/KCA/KaGA/KMX). A future-driven automotive company, Kia has access to vast and diverse datasets and are excited to fill this position with an individual that can derive business improvements and insight from this data. Strong applicants for this role will have statistics, machine learning, and computer science skills to leverage high-performance compute clusters as well as perform reproducible data analysis at scale. With these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business.

Major Responsibilities

Priority Major Responsibility %
1st Data Wrangling and Analysis
  • Assess the accuracy of new data sources
  • Understand the relationship between the data and the business process
  • Preprocess structured and unstructured data 
  • Analyze large amounts of data to discover trends and patterns
  • Build prediction and classification models
  • Coordinate with different functional teams for feature engineering
30%
2nd Assess, Visualize and Improve Analysis
  • Test and continuously improve the accuracy of statistical and machine learning models
  • Present information using Python and/or dashboards
  • Simplify and explain complex stats in an intuitive manner
  • Continuously monitor and validate production analysis results
30%
3rd Collaborate IT Team to deploy analysis results
  • Build REST APIs for data and analysis result consumption
  • Assist the IT system developers to deploy analysis as a service
20%
4th Clear Documentation, VCS, and Reproducible Analysis
  • Use git within Gitlab
  • Create conda, venv, etc to isolate project dependencies and requirements
  • Track model performance and hyperparameter configurations with mlflow
  • Track data versioning with dvc
20%

 

Education/Certification

  • Bachelor’s degree or equivalent experience in related field of technology required
  • Certification(s) in data analysis field is highly desirable
  • Master’s degree in data analysis preferred

Overall Experience

  • Experience querying databases and using statistical computer languages (SQL, Python)
  • Experience using Hadoop echo system (Hadoop, Hive, Impala and Spark etc.)
  • Experience with Dask; dask-ml and dask.DataFrames
  • Experience using statistics, machine learning and deep learning algorithms
  • Experience visualizing data using visualization tools (Power BI, MicroStrategy, Tableau etc.)

Directly Related Experience

  • 3+ years of experience preferred
  • Web scraping (preferred)

Skills

Coding Knowledge and experience with several languages : Python, SQL, Docker, Javascript/Typescript
Excellent written and verbal communication skills.
Experience using statistical computer languages (R, Python, SQL etc.) to handle data
Knowledge and experience with NLP (natural language processing)
Knowledge of a variety of machine learning techniques including deep learning
Knowledge of advanced statistical techniques
Social network analysis
Strong problem solving skills based on data analysis
Understanding big data analysis technique: Map/Reduce, Hadoop echo system, Spark etc.

Competencies

CHALLENGE - Solving Complex Problems
COLLABORATION - Building and Supporting Teams
CUSTOMER - Serving Customers
GLOBALITY - Showing Community and Social Responsibility
PEOPLE - Interacting with People at Different Levels

 

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.


Nearest Major Market: Irvine California
Nearest Secondary Market: Los Angeles

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