1 week ago

AI Data Scientist – Enterprise AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design, develop, and deploy AI solutions for enterprise operations, using large language models and generative AI to deliver measurable business impact. Build data pipelines and feature engineering workflows, research new AI methods, and run experiments to evaluate model effectiveness, accuracy, robustness, and performance. Analyze large structured and semi-structured datasets to generate insights and predictive models, then translate business needs into technical approaches while collaborating across distributed engineering and business teams.

Location: Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy AI-powered solutions leveraging LLMs, generative AI, machine learning, and predictive analytics.
•Build data pipelines, feature engineering approaches, and analytical workflows to support AI solution development.
•Research new AI methods, tools, and frameworks and apply them to business problems across enterprise operations.
•Design and execute experiments to evaluate model effectiveness, accuracy, robustness, and operational performance.
•Analyze large-scale structured and semi-structured datasets to generate insights, build predictive models, and support operational decision-making.

Pay and Benefits

Salary: USD 130,700 - 205,200 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionDisability InsuranceFlexible SpendingLife InsurancePaid ParentalPaid Holidays

Key Requirements

•Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field.
•3+ years of experience developing AI, machine learning, and data science solutions.
•Proficiency in Python and modern AI/ML libraries and frameworks.
•Experience with model evaluation, experimentation, performance measurement, and validation methodologies.
•Experience working with large-scale tabular datasets using SQL, Spark, Databricks, or similar technologies.

Experience:3+ yearsEnterprise AIMachine learningGenerative AILarge language modelsData scienceMLOps

Education:Bachelor's in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics

Skills:CommunicationCollaborationAnalytical thinkingExperimentationOwnership

Tech Stack:PythonLarge Language Models (LLMs)Generative AIMachine learningPredictive analyticsSQLSparkDatabricksAzureAWSGCPGitHubGitHub CopilotRetrieval-Augmented Generation (RAG)Prompt engineeringAI agentsMLOpsModel monitoringObservability

Company Brief

Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.

Industry: Hardware Devices

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Palo Alto, United States

Founded: 1939

Glassdoor: 3.8

Website LinkedIn

Loading job details...

Preparing the role view and application actions.