Arity · 7 hours ago

Arity- Data Scientist Senior Manager - Arity

Illinois, United States

Full-time

Remote

Senior Level, Lead/Staff

$143K/yr - $227K/yr

7+ years exp

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Information ServicesInformation Technology

Work & Life Balance

No H1B

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Responsibilities

Builds & evolves vision and strategy for using machine learning/predictive modeling, optimization, and signal processing to deliver valuable features from smartphone and other hardware-based sensors

Builds alignment for vision and strategy with Product and Engineering partners, fostering relationships and engaging resources across departments

Leads managers and expert individual contributors, builds and develops team dedicated to executing data science initiatives to increase organizational value

Effectively understands business problems, requirements, and context in communicating findings to ensure solutions are well understood and incorporated into products

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

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

Identifies potential solutions that use new areas of data, research, and models

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

Serves as subject matter expert and consultant on data and analytics related issues inside and outside the department

Qualification

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Machine LearningData ScienceDeep LearningPredictive ModelingSignal ProcessingPythonRJavaScalaCData AnalyticsProject Management

Required

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

7 or more years of professional experience

Proven track record of delivering results, leading teams in the development and deployment of machine learning models to production to solve business and technical problems

Demonstrated experience in with large, complex datasets and machine learning methodologies

Familiarity with commonly used data science tools and libraries in Python, R, Java, Scala, C

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 and develop teams of various skills levels