Data Scientist

Kia America • Full-time • Irvine, CA, US • $82.38k - $110.27k / year • 1d ago

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 paid time off. 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

General Summary

The Data Scientist 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 is excited to fill this position with an individual that can derive business improvements and insights 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.

Essential Duties And Responsibilities

1st Priority - 30%

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

2nd Priority - 30%

Assess, visualize, and improve analysis

Test and continuously improve the accuracy of statistical and machine learning models
Present information using Python notebooks and/or dashboards
Simplify and explain complex statistics in an intuitive manner
Continuously monitor and validate production analysis results

3rd Priority - 20%

Collaborate with 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

4th Priority - 20%

Clear documentation, source code management, and reproducible analysis

Use git within GitLab
Create virtual environments to isolate project dependencies and requirements
Track model performance and hyperparameter configurations
Track data versioning

Qualifications/Education

Education:

Bachelor’s degree or equivalent experience in related field of technology required
Master’s degree in analytics, data science, or computer science preferred

Job Requirement

Overall Related Experience

Experience querying databases and using programming languages such as Python and SQL
Experience using Hadoop ecosystem (Hadoop, Hive, Impala and Spark etc.)
Experience using statistics, machine learning and deep learning algorithms
Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau)

Directly Related Experience

3+ years of experience in data science preferred

Specialized Skills And Knowledge Required

Proficiency in Python and SQL
Knowledge of a variety of machine learning techniques including deep learning
Knowledge of advanced statistical techniques
Knowledge and experience with natural language processing (NLP)
Experience with common Python libraries for data analysis such as Pandas and NumPy
Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine
Experience developing and evaluating statistical and machine learning models using libraries such as stats models and Scikit-learn
Experience with deep learning frameworks such as PyTorch and TensorFlow
Experience with big data processing tools: Hadoop ecosystem, Spark etc.
Strong data-driven problem-solving skills
Excellent written and verbal communication skills to coordinate across teams

Competencies

Care for People
Chase Excellence Every Day
Dare to Push Boundaries
Empower People to Act
Move Further Together

Pay Range

$82,382 - $110,272

Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.

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.