Advanced Data Scientist

Honeywell
Hamilton
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Stakeholder management","Business acumen","Mentoring"]

Design, develop, and deploy AI/ML solutions that solve complex business challenges and improve customer engagement, service operations, and sales processes. Build intelligent agents on Salesforce Agentforce, Einstein AI, Data Cloud, Service Cloud, and Sales Cloud, and create predictive models for customer behavior and operational optimization. Apply generative AI with LLMs and retrieval-augmented generation, operationalize models with MLOps, and ensure responsible AI governance while partnering across CRM, product, and engineering teams.

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Honeywell
Honeywell
2 weeks ago

Advanced Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, develop, and deploy AI/ML solutions that solve complex business challenges and improve customer engagement, service operations, and sales processes. Build intelligent agents on Salesforce Agentforce, Einstein AI, Data Cloud, Service Cloud, and Sales Cloud, and create predictive models for customer behavior and operational optimization. Apply generative AI with LLMs and retrieval-augmented generation, operationalize models with MLOps, and ensure responsible AI governance while partnering across CRM, product, and engineering teams.
Location: Hamilton
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and deploy advanced machine learning and AI solutions for complex business challenges.
  • •Lead intelligent agent development using Salesforce Agentforce and Einstein AI capabilities.
  • •Build predictive models for customer behavior, lead scoring, opportunity forecasting, churn prediction, and service optimization.
  • •Develop generative AI solutions using large language models and retrieval-augmented generation integrated with enterprise architectures.
  • •Establish model governance (monitoring, explainability, security, and responsible AI) and collaborate with engineering and business stakeholders to deliver production-ready solutions.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife Insurance401kDisabilityPaid LeaveParental LeaveEapPaid Holidays

Key Requirements

  • •Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative field.
  • •5+ years of experience in data science, machine learning, artificial intelligence, or advanced analytics.
  • •3+ years of hands-on experience with Salesforce platform technologies.
  • •Proven experience designing, implementing, or deploying Salesforce Agentforce solutions.
  • •Strong experience with Salesforce Einstein AI, Data Cloud, Service Cloud, and Sales Cloud.
Experience:5+ years
Education:Bachelor's
Skills:CommunicationCollaborationStakeholder managementBusiness acumenMentoring
Tech Stack:SalesforceSalesforce AgentforceEinstein AIData CloudService CloudSales CloudCRM AnalyticsPythonMachine learningArtificial intelligencePredictive analyticsExperimentationModel evaluationFeature engineeringGenerative AILarge language modelsPrompt engineeringRetrieval-augmented generationRAGRetrieval architectures

Company Brief

Honeywell
Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Revenue: USD 25B to 50B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1906
Glassdoor
Glassdoor: 3.8
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