Data Scientist, Innovation at Bell Helicopter (Fort Worth, TX)

We are pioneers. We were the first to break the sound barrier and design the first functional jetpack. We were aboard NASAs first lunar mission and brought advanced tiltrotor systems to market. Today, we are defining the future of on-demand mobility. At Bell, we are proud to be an iconic company with superb talent, rapidly creating novel and coveted vertical lift experiences.  

Bell's Rapid Prototyping & Manufacturing Innovation organization is seeking experienced Data Scientists who are looking for opportunities on the cutting edge of advanced product development and manufacturing technologies.

Identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops and implements business solutions for the organization. Prepares big data, implements data models and develops databases to support business solutions.

Responsibilities:

• Builds best-in-class predictive and prescriptive models taking into account business constraints.
• Performs data integration, data set cleansing, analysis, and deploys analytical models through the development of scripts and custom workflows.
• Monitors the performance and accuracy of existing models.
• Advises IT Data Engineers to build, automate, and/or maintain a set of enterprise-wide data services (data lake) and connectors for internal and external data sources that can be rapidly deployed to business analysts.
• Creates proactive and reactive custom reports based on client needs
• Troubleshoots issues, prepares summaries, documents processes and workflows, proposes solutions, and collaborates and communicates with internal team members.
• Builds and maintains trusted relationships with information managers, architects, and business units for knowledge sharing, mentoring, and training

Required Education

• Bachelor's degree in Data Science & Analytics, Engineering, Mathematics, Industrial Engineering, Computer Science, Information Technology, or Economics/Finance

Required Skills/Competencies

• At least 10 years of related experience in Data Science or Information Technology working with a combination of big data / advanced data analytics, or machine learning, programming and data bases. With a masters degree, at least 8 years of relevant experience is acceptable.  
• Experience in complex business operations analysis, including engineering design, manufacturing, logistics, finance, and/or market forecasting.
• Ability to generate and effectively communicate analytical insights through visualization and reporting tools (SAS, JMP, MS PowerBI, HANA, Qlik, R Markdown).
• Proficiency in data science object-oriented programming languages (python, R, ruby).
• Proficiency in database languages (MSSQL, Oracle, PostgreSQL, MySQL, neo4j, HANA, Hadoop).
• Familiarity with operational business systems preferred (SAP, Salesforce, Enovia).
• Excellent communication and customer interfacing skills (verbal and written).
• Ability to work independently multi-tasking in a deadline-driven environment.
• Manages time and prioritizes tasks effectively.

Preferred Education, Certifications, Skills and Experience

• Masters degree in Data Science & Analytics, Engineering, Mathematics, Industrial Engineering, Computer Science, Information Technology, Economics/Finance or equivalent professional experience
• Experience in stochastic process modeling, design of experiments, non-linear regression, simulation, and optimization methods.
• Competency in Natural Language algorithms for processing/generation (NLP/NLG).
• Competency in machine learning development.
• Knowledge of Aerospace industry
• Certification in Data Science & Analytics

Note: as we are building out a Data Science COE, we are also considering those with less years of expereince for other Data Science related rolls, but with the same required skill sets.  

Dont miss the chance to join a diverse, inclusive environment where you feel a sense of belonging. As a member of our global workforce, you will collaborate with dedicated, enthusiastic teams where unique experiences, backgrounds and ideas combined with a strong passion for our products take us above and beyond flight.

 

EEO Statement Textron is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of, race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.

This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR)., Non-U.S. persons selected must meet eligibility requirements for access to export-restricted information. , The ITAR/EAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.

Textron (and its subsidiaries) participates in E-Verify. We will provide the U.S. Social Security Administration (SSA) and, if necessary, the U.S. Department of Homeland Security (DHS) with information from each new employers Form I-9 to confirm work authorization.

 

EEO Statement Textron is committed to providing Equal Opportunity in Employment, to all applicants and employees regardless of, race, color, religion, gender, age, national origin, military status, veteran status, handicap, physical or mental disability, sexual orientation, gender identity, genetic information or any other characteristic protected by law.

Pay Transparency Policy Statement The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise, have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.

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