Data Scientist / Analyst

Description   Honda R&D Americas, Inc. is an innovative and dynamic company responsible for the complete product creation of Honda & Acura products, including automobiles, power sports and power equipment. As a member of the Enterprise Applications team in the Information Systems Division, you will be at the forefront of implementing systems, services and software/data products that will focus on ensuring the efficient operations of the R&D business.   We are seeking a data analyst engineer who will use insights gained from analyzing company data to support our development, administrative, and leadership teams.  The candidate must be proficient at using large data sets to find opportunities for process optimization across multiple business divisions.  They must be comfortable working and communicating with a diverse group of stakeholders and functional teams.  The ideal candidate is expected to have a high level of knowledge and experience in data mining and analytic methods, and creating/running simulations.  We are looking for someone to bring passion for solving complex problems with data sets and working with stakeholders to positively influence our business outcomes.   Each day will bring new and exciting challenges on the job while you: -  Learn and use groundbreaking technologies -  Interact with leading Engineers & Management from across the organization globally -  Experience world class products & services built in front of you and by you     Essential Job Requirements:     Business Analysis - Capture and interpret the business needs/requirements through appropriate means (interviews, document analysis, workshops, etc) and identify opportunities to leverage data to drive the business solution.     Process Improvement - Actively participate and assist in the projects, mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.  Ability to assess productivity and accuracy of new data sets, develop data models and algorithms to apply to the data sets.     Advanced Thinking - Use predictive modeling and what-if analysis to increase and optimize stakeholder/customer experiences and influence business outcomes.  Develop processes and tools to monitor and analyze model performance and data accuracy.     Critical Thinking & Problem Solving - Recognizes problems and/or opportunities that are new or without clear precedent. Evaluates alternatives and finds solutions using a systematic, multi-step approach with the goal of providing improvements or innovations to enhance the business.     Data Visualization - Organize and develop easy to use and interpret reports/dashboards for use by all levels of the organization. Employing basic user experience methods and delivery techniques to enable quick understanding, what-if analysis and decision-making. Qualifications         BA or BS or equivalent experience in Statistics, Mathematics, Computer Science or another quantitative field is required.       Minimum 5 years of experience manipulating data sets and building statistical models desired       Ability to interpret data and trends, and present recommendations      Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.      Familiar with relational databases / Hadoop-based data mining frameworks, SQL, Java and C/C++      Knowledge of different data mining techniques and advance machine learning algorithms such as regression, simulation, scenario analysis, modeling, clustering, decision trees, text mining, etc.      Experience visualizing/presenting data for stakeholders      Strong analytical, planning, and organizational skills with an ability to manage competing demands      Understanding of data analytic concepts and best practices, with a drive to learn and master new technologies and techniques.        Excellent oral and written communications skills and experience interacting with both business and IT individuals at all levels including the executive level      Creative approach to problem-solving with the ability to focus on details while maintaining the "big picture" view. HRA0001I5
Salary Range: NA
Minimum Qualification
5 - 7 years

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