Data Scientist

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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

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 h these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business.

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 Git Lab
• Create virtual environments to isolate project dependencies and requirements
• Track model performance and hyperparameter configurations

Education:

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

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, Micro Strategy, Tableau)

Directly Related

Experience:

• 3+ years of experience in data science preferred

• 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 Num Py
• 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 Tensor Flow
• Experience with big data processing tools:
  Hadoop ecosystem,…