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Principal Engineer - Data Scientist

Company: PARKER HANNIFIN CORP
Location: Irvine
Posted on: January 13, 2021

Job Description:

Location : Irvine, CA, United States
Job Family : Engineering
Job Type : Regular
Posted : Oct 20, 2020
Job ID : 18396

  • Parker Aerospace, an operating segment of Parker Hannifin Corporation, is one of the world's leading producers of flight control, hydraulic, fuel, inerting, fluid conveyance, thermal management, and engine systems and components for the aerospace industry. We design and build equipment for virtually every aircraft and aero engine being produced in the world today.
  • In addition to game-changing technology, our customers look to us for shorter lead times, lower costs, higher reliability, and lifetime support. All coupled with the positive attitude and innovative thinking of a true business partner.
  • Parker Aerospace provides unmatched performance for both our customers and shareholders, built on a foundation of integrity, innovation, and customer satisfaction. As a result, our business has seen consistent growth and, best of all, our team members share in Parker's success.Parker Aerospace is seeking a highly motivated Data Scientist to support our engineering, sales, leadership, and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Create databases with the appropriate schemas
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize product performance and customer experiences
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.Work Authorization:
  • This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. -- 120.15 is required. Qualifications
  • Strong problem-solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PhD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using MATLAB.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
  • Ability to travel 10% - 20% of the timeFounded in 1917, Parker Hannifin Corporation is a $14.3 billion, global company.With annual sales of $14.3 billion in fiscal year 2019, Parker Hannifin is the world's leading diversified manufacturer of motion and control technologies and systems, providing precision-engineered solutions for a wide variety of mobile, industrial and aerospace markets. The company has operations in 50 countries around the world. Parker has increased its annual dividends paid to shareholders for 63 consecutive fiscal years, among the top five longest-running dividend-increase records in the S&P 500 index. Parker's engineering expertise and broad range of core technologies uniquely positions the company to solve some of the world's greatest engineering challenges. By partnering with customers, Parker improves their productivity and profitability and seeks new ways to solve humanity's biggest challenges.

Keywords: PARKER HANNIFIN CORP, Irvine , Principal Engineer - Data Scientist, Engineering , Irvine, California

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