Lead Enterprise Data Scientist
Fort Worth, TX

Job Description

We are pioneers. We were the first to break the sound barrier and to design the first functional jetpack. We were aboard NASA's 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 work for an iconic company with superb talent, rapidly creating novel and coveted vertical lift experiences.

Bell is seeking an experienced Lead Enterprise Data Scientist for the Fort Worth, TX headquarters. As one of the initial data scientists on the team, you will be a founding member of helping to build and unite a community around data-driven values.

We have invested heavily in our data infrastructure with both top-down and bottom-up support for a data warehouse, data catalog, and data science workbench. You will be utilizing these resources to analyze data and build predictive solutions, taking full advantage of Bell's software and hardware capabilities in all areas of our enterprise, including operations, research, and innovation technology.

In additional to technical, data-driven projects, you will be a technical leader and mentor to the junior data scientists within the organization to further grow the team's abilities. You are a critical thinker, problem solver, and an intrinsically motivated individual who is enthusiastic about finding answers to challenging questions and clearly communicating those findings to non-technical audiences.

Job Summary:

* Designing and implementing advanced models and analytics to self-disrupt and change the way we work, creating massive business and customer value in the process


* Collaborating with team members to build machine learning and artificial intelligence solutions from development through testing and validation


* Working with the latest open source tools, libraries, platforms, and languages to explore large, complex, and dynamic data sources for relationships and actionable insights


* Investigating the impact of new technologies on the future of complex manufacturing and future vertical lift


* 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. Awareness of data engineering tools such as Kafka, Spark and Airflow are a bonus.


* Making build vs use decisions on variety of open source products / implementations in Artificial Intelligence (AI) / Machine Learning (ML) space



Education and Related Experience Requirements:

* A Bachelor's degree plus 9 years of experience in Data Science OR a Master's degree plus 7 years of relevant Data Science experience OR a Doctoral degree plus 5 years of Data Science experience. An Associate's degree plus 11 years of experience in Data Science may be considered for individuals with in-depth experience that is clearly related to the position.
* Degree's considered: Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Astronomy, Bioinformatics or Computer Science. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Skills and Competencies Sought Includes:

* At least 7 years of advanced Predicative Modeling and Analytics skills including Probability Theory, Regression, Classification, Multivariate Time Series, and related statistics.
* Passion for rigorous analysis of data including supervised learning, unsupervised learning, reinforcement learning and natural language processing
* Proven ability to generate and effectively communicate analytical insights through visualization and reporting tools (SAS, JMP, MS Power BI, HANA, Qlik, R Markdown).
* Mastery required in database languages; MSSQL and Oracle.
* Mastery required in data science object-oriented programming languages including Python and R.
* Tenacity, integrity, persistence, and willingness to learn
* Proven ability to solve complex problems
* Uses critical thinking and reasoning to make analytic determinations
* Works effectively in a collaborative environment
* Strong interpersonal and communications skills to both technical and non-technical audiences

Preferred Skills and Experience

* Experience with PostgreSQL, MySQL, neo4j, HANA, Hadoop, and Cassandra
* Experience with Spark, Scala and Julia
* Knowledge of aerospace industry or heavy manufacturing

Don't 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.