45 applicants

Company

Asurion · 1 day ago

Data Scientist

US-Headquarters

Full-time

Onsite

Mid Level

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Responsibilities

Identify, formulate, and address complex business problems

Design, and drive the creation of new data products and analytical capabilities embedded in multiple business applications

Utilize Natural Language Processing techniques and Generative AI to drive business value (e.g. creating Agent Framework for customer-facing product)

Design large scale models using techniques such as Logistic Regression, Decision Trees, Spatial models, Time-series models, and Machine Learning algorithms

Deploy ML/NLP solutions in production environment (e.g. AWS SageMaker, Kubernetes, etc.)

Knowledge in Hypothesis testing, Statistical Methods, Sampling Theory, Experimental Design

Expertise with common advanced analysis tools – SQL & Python/PyTorch

Demonstrated familiarity (work experience, GitHub account) with OOP concepts

Experience with cloud computing (AWS) & MLOps is a plus

Proficiency with Excel, and PowerPoint required

Be motivated to explore and identify opportunities from scratch by thinking backwards on problem solving by putting users and data at the center of analysis and decision making

Develop prototypes for new data product ideas

Use business acumen and analytical skills to identify opportunities, estimate potential, layout strategy roadmaps to solve complex business problems

Work closely with product managers to identify and answer important product questions that help improve outcomes

Desire to work in a results-oriented, fast-growth environment

Intellectual curiosity, passion for problem-solving, and comfort with ambiguity

Superior quantitative and analytical skills and a passion for achieving practical business impact

Strong interpersonal skills including confidence in dealing with people at all levels of the organization, ability to manage intake, and presenting insights

Bring a strong passion for empirical research and for answering hard questions with data

Communicate complex quantitative analysis in a clear, precise, and actionable manner

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Natural Language ProcessingGenerative AIMachine LearningSQLPythonLogistic RegressionDecision TreesTime-series modelsStatistical MethodsPyTorchAWSExcelMLOpsPowerPointOOP concepts

Required

Utilize Natural Language Processing techniques and Generative AI to drive business value (e.g. creating Agent Framework for customer-facing product).

Design large scale models using techniques such as Logistic Regression, Decision Trees, Spatial models, Time-series models, and Machine Learning algorithms.

Deploy ML/NLP solutions in production environment (e.g. AWS SageMaker, Kubernetes, etc.).

Knowledge in Hypothesis testing, Statistical Methods, Sampling Theory, Experimental Design.

Expertise with common advanced analysis tools – SQL & Python/PyTorch.

Demonstrated familiarity (work experience, GitHub account) with OOP concepts.

Proficiency with Excel, and PowerPoint required.

Master’s in Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field.

Preferred

Experience with cloud computing (AWS) & MLOps is a plus.

Company

Asurion

Glassdoor

3.3

Asurion is an electronics company that provides protection, repair, and installation.

Founded in 1994

Nashville, Tennessee, USA

10,001+ employees

http://www.asurion.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (69)

2022 (129)

2021 (151)

2020 (103)