Data Scientist

Job Details

Level

Entry

Job Location

Buffalo Office - Buffalo, NY

Position Type

Full Time

Education Level

4 Year Degree

Salary Range

$80000.00 - $100000.00 Salary/year

Travel Percentage

Negligible

Job Shift

Day

Job Category

Engineering

Role & Essential Functions

EWI is a world leader in developing and deploying new technologies that enable companies to bridge the gap between R&D and manufacturing implementation. EWI associates are passionate about identifying out-of-the-box options that provide a long-term competitive advantage for our clients. Our clients tell us we are a valuable extension and complement to their innovation, engineering, and manufacturing teams. If you enjoy dealing with customers and solving difficult, technical problems, EWI is the place for you.

EWI's Data science group acts as turbo charger for EWI's innovation engine. We specialize in working cross-disciplinary with EWI's cutting-edge manufacturing technology teams including additive manufacturing (3D printing), advanced stamping, robotics, ultrasonics, and lasers. Data science focuses include using in-line sensing to predict part quality, semi-analytical modeling, probabilistic modeling, and data modeling. For the Data Scientist role, we are searching for expertise, practical experience, and visionary thinking in manufacturing data science. Our customers are based across the country and include world-class leaders in the aerospace, automotive, consumer products, electronics, medical, energy & chemical, government, and heavy manufacturing industries.

The Data Scientist position is located at Buffalo Manufacturing Works, operated by EWI - a one-of-kind center for advanced manufacturing focused on developing, maturing and implementing new technologies that have an impact on the clients we work with and the communities in which they live. Located in Buffalo, New York, we are dedicated to building a nationally-recognized hub of manufacturing innovation and are looking for smart, passionate, entrepreneurial, inventive and driven people to help us achieve this goal.

Work on projects such as these:

Lithium Ion Battery Quality Control:

Computed Tomography Algorithm Development:

Smart Forming:

Probabilistic Qualification:

ICME: ESSENTIAL FUNCTIONS:

Collaborate with world-leading manufacturing process experts to understand manufacturing challenges in areas such as

Arc welding. Experience with Arc Directed Energy Deposition techniques preferred.

Additive manufacturing (3D printing)

Advanced stamping

Robotics

Ultrasonics

Lasers

Identify potential solutions that could bring clear value to manufacturers

Instrument sensors and plan data acquisition

Organize data so that it is findable, accessible, interoperable, and reusable

Develop, apply, iterate, and test analytics

Present results to stakeholders

Establish thought leadership through conference presentations, peer reviewed publications, patents, and marketing pieces Minimum Requirements

KNOWLEDGE/SKILLS/ABILITIES:

The candidate must have all of the following general skills:

Python and version control

Experience with algorithms including big O time estimates

Experience testing and applying a range of ML/AI approaches

Ability to interface with manufacturing process experts

Proficient in MS Office products (Word, Excel, PowerPoint, etc.)

Ability to work well with ever-changing priorities and/or situations

Exhibit and maintain positive, solutions-oriented attitude toward work and co-workers

Excellent organizational skills and ability to work well under stress, despite numerous interruptions

High degree of accuracy and attention to detail in assigned tasks on a consistent basis

Outstanding interpersonal skills and ability to communicate effectively with all levels of associates

Team-oriented attitude and focus with strong ability to collaborate with others The candidate should have at least one of the following deep skills:

Demonstrated expertise in data modeling including schema development and metadata curation.

Demonstrated real-world applications of statistics including probability theory. Experience with Bayesian networks preferred.

Demonstrated expertise in sensor interfacing, data logging, sensor interpretation, and controls. Additional experience in human interface development preferred. PHYSICAL REQUIREMENTS:

Laboratory/light production floor with ventilation, climate-control system, moderate lighting, and moderate noise level;

Use finger dexterity to type, adjust, move, handle, perform, operate, install, attach, remove, apply, grasp, manipulate, and measure;

Frequently move, transport, rotate, reach, pull, twist, adjust position, push, stoop, bend, and crouch; and

Lift ten to 10 pounds on a frequent basis and 40 to 80 pounds occasionally EDUCATION:

B.S. in Computer Science, Statistics, Applied Mathematics, Physics, or similar discipline

PhD is preferred

EOE/M/F/Disability/Protected Veteran Status

Accommodations

Individuals who need reasonable accommodations under the ADA in order to participate in the search and/or application process should contact Human Resources at .