100 applicants

Company

Asurion · 10 hours ago

Data Scientist, Gen AI

United States

Full-time

Remote

Entry, Mid Level

2+ years exp

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ElectronicsInsurance

H1B Sponsor Likely

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Responsibilities

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

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.

Be responsible for using analytical techniques like Machine learning, Natural Language Processing, and advanced data visualizations to improve Asurion’s customers’ experiences.

Deploy ML solutions in production environment

Design statistical tests for product experiments, measure impact, derive insights and provide recommendations

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

Interpret problems and provide solutions using appropriate data modeling techniques

Develop prototypes for new data product ideas

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

Utilize Natural Language Processing to analyze speech and social data

Drive the collection of new data and the refinement of existing data

Regularly invent new and novel approaches to problems; take initiative and break down barriers to solve problems; be recognized within team as the source of solutions

Manipulate and analyze complex, high-volume, high-dimensionality data from multiple sources

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 ProcessingMachine LearningStatistical MethodsSQLPythonCloud Computing (AWS)Deep LearningExperimental DesignOOP ConceptsTime-series ModelsLogistic RegressionDecision TreesSpatial ModelsBusiness Acumen

Required

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

2+ years of work experience

Demonstrated work experience with natural language processing techniques to drive business value

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

Familiarity with common advanced analysis tools – SQL & Python/R

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

Strong knowledge of Machine Learning & Deep Learning

Active listener; strong communication - verbal and non-verbal

Effective problem solver; works through ambiguity; provides options; executes well

Manages time; self-directed; provides guidance to more junior team members

Manages relationships with key stakeholders and ensures effective teamwork across team

Solid business acumen; anticipates obstacles and supports team's success

Leads change for team members and team's work

Team leader and supports team to ensure success. Develops trust-based relationships.

Proactively seek as well as provides coaching and feedback to team and peers

Engage, inspires team members. Effective at determining work to own and work to delegate.

Drives for continuous improvement.

Accountable for performance of team and ensuring a customer first mindset.

Preferred

Experience building user-centric AI products/features is highly valuable

Expertise in Python is a big plus

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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2023 (69)

2022 (129)

2021 (151)

2020 (103)