WHAT YOU WILL BE DOING
- Lead/grow the advanced analytics and machine learning team.
- Act as Subject Matter Expert providing data analytics and machine learning modeling software development support to create novel computational methods and produce analytical models from available research & manufacturing data and to enable the company to effectively innovate and to enhance competitive advantage of Corning products
Responsibilities will include:
- Supervise a group of scientists and engineers.
- Manage workload and interact regularly with the US and global team.
- Meet project managements regularly.
- Support recruiting of resources.
- Work independently or as part of the team on data preparation, machine learning software development & modifications, model development, model testing and to allow models to be used by internal customers.
- Interpret data analysis results in RD&E or business context, and articulate the implications of the results to the business function.
- Write and maintain relevant support documentation.
- Prepare and deliver relevant user training.
REQUIRED SKILLS
- MS or PhD in engineering, computer science, mathematics or related discipline with specialization in data analytics & machine learning.
- 3-5 year of work experience in similar field, analytical software development or modeling experience and positive customer interactions.
- Supervisory experience leading people and projects.
- Leadership skills
- Able to create positive work environment.
- Strong mathematical and programming skills and capability for independently preparing data (ETL functions of cleaning, consolidating, transforming data) for machine learning purposes.
- Working knowledge of programming in Python.
- Working knowledge of mathematical and statistical computing programming languages (MATLAB, R).
- Knowledge of any other programming languages for scientific computing in Windows and Linux environments (such as C/C++, Fortran).
- A foundation in software design principles and an ability to design and create code as necessary.
- Comfortable working with Linux and Windows parallel processing clusters.
- Deep knowledge of artificial neural networks with experience building accurate time series & sequential event models with recurrent neural networks and/or reinforcement learning algorithms.
- Ability to communicate with and understand the complex requirements of scientists, engineers and professional staff in the development and deployment solutions.
DESIRED SKILLS
- Knowledge of machine learning libraries (such as Theano, Tensor Flow, Keras).
- Knowledge of data mining suites (such as Weka or RapidMiner).
- Background in Natural Language Processing.
- Experience compiling and running code on high-performance computers.
- Knowledge of MPI, OpenMP, or other parallel/distributed computing paradigms.
- Ability to analyze, optimize and debug scientific code.
- Experience working with cloud-based services such as AWS and Azure.
- Physics based modeling skills
- Strong interpersonal and communication skills and ability to work as a team player or independently are required.
- Must be a proactive and solution-oriented problem solver.
- Ability to support multiple projects.
- Ability to bridge gaps between “domain” language (engineering, science) and “computing solution” language.
- Customer focused.
- Proven ability to embrace and drive change.
- Clear dedication to excellence and advancing beyond the current state.
- Strong personal motivation.
by via developer jobs - Stack Overflow
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