TE Connectivity · 22 hours ago
Engineering Data Scientist - Remote
United States
Full-time
Remote
Senior Level
$143K/yr - $215K/yr
5+ years exp
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Responsibilities
Analyze large amounts of information to discover trends and patterns.
Interpreting data sets to drive product and process designs.
Present information using data visualization techniques to all stakeholders including signal integrity, product development, and manufacturing engineers.
Propose solutions and strategies to design challenges
Collaborate with other engineering disciplines (PDE, SI/EE, and MPDE)
Develop custom algorithms to apply to engineering data sets which includes mechanical and SI modeling as well as early product validation and process validation data sets
Assess the effectiveness of modeled data to real-world data sets and propose solutions to correlation challenges.
Develop processes and tools to more effectively/efficiently collect/store front-end data collection allowing for correlation and analysis of larger data sets as well as traceability.
Qualification
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Required
Bachelor’s degree in mechanical engineering, electrical engineering, or Data Science
Minimum of 5 years of work experience in an engineering or quality role
Analyze large amounts of information to discover trends and patterns.
Interpreting data sets to drive product and process designs.
A solid understanding of electromagnetic theory and electrical circuit behavior
Present information using data visualization techniques to all stakeholders including signal integrity, product development, and manufacturing engineers.
Propose solutions and strategies to design challenges
Collaborate with other engineering disciplines (PDE, SI/EE, and MPDE)
Develop custom algorithms to apply to engineering data sets which includes mechanical and SI modeling as well as early product validation and process validation data sets
Assess the effectiveness of modeled data to real-world data sets and propose solutions to correlation challenges.
Develop processes and tools to more effectively/efficiently collect/store front-end data collection allowing for correlation and analysis of larger data sets as well as traceability.
Strong understanding of how mechanics and physics impact product electrical performance.
Strong understanding of manufacturing capabilities and relative tolerances around SPAM (stamping, plating, assembly, molding)
Be able to communicate directly with development engineering during the NPI phase regarding future potential product risks based on historical data analyses.
Basic understanding of s-parameters and how to post-process data as well as manipulate data such that thorough analyses can be completed and correct correlations can be found.
Have working-level knowledge of multiple data analysis tools such as R, Python, JMP, Minitab, SQL, AWS Services, Tableau, or equivalent.
Ability to work in a global environment – able to accommodate varying time zones, fluent in English (verbal/written), able to collaborate with individuals across geographies
The individual must be highly motivated, a quick learner, and able to work independently
Benefits
Health insurance
401(k)
Disability
Life insurance
Employee stock purchase plan
Paid time off
Voluntary benefits
Company
TE Connectivity
TE Connectivity is a company provides engineered electronic components, network solutions, specialty products, undersea telecommunication.
10,001+ employees
H1B Sponsorship
TE Connectivity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (78)
2022 (99)
2021 (87)
2020 (77)
Funding
Current Stage
Public CompanyTotal Funding
$850M2024-07-30Post Ipo Debt· $350M
2023-01-30Post Ipo Debt· $500M
2007-06-22IPO· undefined
Leadership Team
T
Terrence R. Curtin
Chief Executive Officer
Heath A. Mitts
Chief Financial Officer
Recent News
2024-04-24
Company data provided by crunchbase
