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Data Scientists Analysts (18-01126)

Expired Job

MSX International Dearborn , MI 48120

Posted 2 months ago

MSX International is currently seeking a Data Scientist. The successful candidate must have the following skills and experience:

  • Participates in feasibility assessment of prioritized features in collaboration with cross-functional teams and develops feature recommendations for connected vehicle feature content along with identifying target vehicle program and region by considering technical risks and conducting cost/benefit analysis

  • Develops/supports "feature roadmaps" closely working with feature engineering leads within CVP&P and with feature champions across various skill teams

  • Asses data quality and create data transformations, collaborate to support data collection, integration, and retention requirements based on the collected input

  • Work closely with business partners to identify and answer important business and product questions

  • Communicate insights to executive leadership

  • Works with a team of architects and engineers to breakdown connected vehicle feature into manageable chunks of functional components and distribute them across Vehicle, Cloud and Mobile App sub-systems/components

  • Collaborate with feature teams to bring new vehicle concepts into production

  • Works with cross functional groups to develop interoperability interfaces across sub systems and translate them into system level requirements for building connected vehicle systems and data architecture

  • Collaborate with IT (business, solution and information) architecture counter parts to align business vision to the technical solutions for connected vehicle features

  • Integrate with vehicle component engineering team to collaborate and develop connectivity platform approach through promoting reusable design solutions across several vehicle electronic components

  • Strong analytical and problem solving skills with the ability to navigate through working teams across multiple departments

  • Knowledge of core engineering fundamentals

  • General understanding of interoperability techniques and standards for enterprise information technology systems, mobile applications and in-vehicle embedded systems and ability to work through the constraints of various systems is required

  • Experience identifying solutions that leverage existing systems and assets, with creative solution definition methodology and focus on end-to-end lifecycle of the product/feature

  • Broad knowledge of Service Oriented Architecture and experience with Enterprise Application

  • Integration patterns and understanding of embedded software design

  • Experience with cloud based application integration, enterprise application integration, service oriented architecture concepts and micro services architecture principles

  • Research, evaluate, implement, present statistical and machine learning methods to provide actionable insights

  • Research, design and implement data models and cutting edge algorithms to analyze diverse sources of data and demonstrated skills in manipulation and dealing with large structured and unstructured data sets

  • Programming experience in one or more of the languages like Matlab, R, Python, C.

  • Experience with tools such as: SQL, Hadoop, Teradata, SAS, Excel, Access, etc.

  • Ability to work with large cross-functional teams under aggressive timelines and sporadic heavy workloads

  • Ability to prioritize tasks on hand by evaluating long-term implications and develop product and platform roadmaps

  • Ability to present technical artifacts at varying degrees of technical depth to a wide range of audience

  • Ability to drive technology innovation through collaboration across advanced engineering and IT teams

Skills Preferred:

  • Knowledge and experience with vehicle architectures, CAN/Automotive Ethernet, diagnostics, embedded device messaging and interoperability of embedded components

  • Knowledge of embedded system integration with head units, radios and vehicle HMI as well as understanding of customer experience with mobile devices

  • Knowledge of embedded software architecture and design

  • Broad understanding of enterprise IT systems and their interoperability mechanisms including vehicle to cloud connectivity, cloud computing, Internet of Things, API management, mobile app architecture, and multi-channel distributed system integration

  • Understanding of embedded module architecture: Microcontrollers, Flash, RAM, device drivers... etc.

  • Understanding of Bluetooth stack, TCP/IP network protocols, transport protocols and payload optimization techniques and frameworks

Education Required:

  • MS Engineering discipline in Computer Sciences, Electrical Engineering or any engineering discipline with relevant experience

  • PhD preferred

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Data Scientists Analysts (18-01126)

Expired Job

MSX International