Arity · 2 days ago

Expert Data Scientist - IOT Deep Learning

Illinois, United States

Full-time

Onsite

Senior Level

$134K/yr - $217K/yr

7+ years exp

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Information ServicesInformation Technology

Work & Life Balance

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Responsibilities

Uses best practices to develop highly complex deep learning architectures to build models that improve the accuracy of crash prediction algorithms running on time series data from mobile phone sensors and other IoT devices.

Reviews, evaluates, communicates, and makes recommendations on the appropriateness of deep learning methods to the team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.

Develops and executes communication strategy, keeping stakeholders informed, and influencing business partners and senior leaders.

Collaborates with and influences partnering business and engineering teams in deploying models into production mobile apps/SDKs.

Understands the business problem domain and requirements to identify the optimal modeling approach.

Develops and builds alignment within the department for frameworks/prototypes that integrate data and machine learning to make business decisions.

Identifies languages and tools that can bring efficiencies or needed techniques to the team.

Identifies and develops solutions that use new areas of data, research and models and develops data sources that can solve business problems.

Utilizes project planning techniques to break down complex and occasionally highly complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept.

Trains, develops, and teaches team

Qualification

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Deep learningData manipulationCodingPrototypingPythonRJavaScalaCTensorflowPytorchKerasMxnetCaffeOnnxProject managementProblem-solvingCommunicationCreativityLeadershipModel TrainingTensorFlow LitePyTorch MobileCoreMLEdge Deployment

Required

Bachelor’s degree in a quantitative field such as statistics, mathematics, computer science, finance, or economics

7 or more years of professional experience

Demonstrated experience in building and deploying deep learning models to production to solve business and technical problems

Demonstrated experience in managing and manipulating large, complex datasets

Proven ability to code and develop prototypes in various languages, such as Python, R, Java, Scala, C

Proven experience developing deep learning models using common industry frameworks, such as TensorFlow, PyTorch, Keras, MXNet, Caffe, ONNX, etc.

Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise

Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable

Ability to lead a project team of various skills levels