Data Scientist at ApTask

About Client:
Client is a company that helps other businesses with technology and consulting services. They offer various services like developing software, managing computer systems, and providing advice on how to improve business processes. Client works with different industries like healthcare, finance, retail, and more. They help these businesses by using technology to make their operations smoother and more efficient. For example, they might create a mobile app for a retail store to make it easier for customers to shop online, or they might help a hospital manage patient records using computer systems.
Overall, Client is like a trusted partner that businesses can rely on to solve their technology-related challenges and make their operations better. They have experts who understand the business needs and use technology to find the right solutions.



Rate Range: $60-$70/Hr



Job Description:

• Data Scientist / Statistician who will work closely within the HW Engineering space, providing direct support to Product Safety & Environmental Technologies engineers.
• This individual will stand at the critical crossroads of field and test data, and will be instrumental in the analysis of trends and developments for purposes of identifying failure modes and associated effects.
• These analyses can have direct impacts on product design and operational/manufacturing decisions across Apple.

• Ideal candidate is comfortable working in a fast-paced, dynamic engineering environment where deadlines and dependencies are critical as they relate to regional and worldwide regulations and compliance.
• This individual must be a natural self-starter who has a proven track record of results and excellence.
• This role requires in-office, in-person engagement and will report to a project manager or engineer, and will have regular interactions with senior engineering leaders.

• Extensive experience in applied Statistics and/or Data Science, ideally within a consumer electronics or manufacturing industry
• Weibull analysis and time-in-field forecasting expertise are a must
• Applications to product reliability, safety, and/or quality will be especially relevant
• Experience working with data analysis and visualization tools such as MiniTab, JMP, Tableau, Statistical Package for the Social Sciences(SPSS)
• Self-driven, motivated, and capable independent worker with experience working in cross-functional settings
• Project management acumen and/or experience a big plus, to include schedule management and/or familiarity working within JIRA/Conflunece (Atlassian) suite

•  Minimum 5-7 years of applied experience in statistical analysis and/or data science in consumer electronics or comparable field
•  Experience with forecasting and predictive analysis for field failure, reliability, quality, safety (or combination thereof)
•  Track record or, and comfort with, communicating with cross-functional stakeholders and management, and producing data visualizations for their consumption
• Strong MS Excel, Apple Keynote, and statistical analysis tools (e.g. JMP, Posit, Minitab, SPSS, etc.)
• Strong proficiency and attitude for Tableau suite of tools
• Data visualization acumen, and the capacity to communicate nuances and conclusions effectively (written & verbal).

About ApTask:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com .