{"id":1372985,"url":"https://alion.io/job/honeywell-data-scientist-ii","title":"Data Scientist II","company":{"id":15856,"name":"Honeywell","domain":"honeywell.com","url":"https://alion.io/company/honeywell-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":84,"open_postings":53,"ghost_share":0,"stale_share":0.849,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United 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Full-Time / Hybrid work schedule.\nIn this role, you will impact the development and deployment of advanced analytics and machine learning models that support audit, risk management, cybersecurity and fraud detection efforts, while ensuring compliance with industry regulations and enhancing operational efficiency.\n Key Responsibilities\nLead audit analytics initiatives aligned with SOX, GDPR, NIST, and PCI DSS frameworks, including scoping, probabilistic modeling, testing, and reporting.\nDesign, develop, and maintain robust ETL pipelines and data warehouses using Snowflake and Databricks.\nDesign, develop, and maintain enterprise risk and fraud analytics models focusing on KRIs, risk scoring, anomaly detection, and fraud prevention while leveraging data visualization tools, such as PowerBI.\nBuild and optimize predictive models for classification and regression tasks.\nUtilize SHAP and LIME techniques to interpret and explain model predictions.\nMonitor model performance, detect drift, and retrain models as necessary to maintain accuracy.\nLeverage Spark for large-scale data processing and analytics.\nImplement CI/CD pipelines for analytics and machine learning workflows to ensure seamless deployment and integration.\nUtilize security tools such as Splunk, Defender, SentinelOne, and Qualys to support data security and compliance.\nApply generative and agentic AI technologies for audit use cases, integrating platforms like ServiceNow, Azure AI, large language models (LLMs), and natural language processing (NLP) for data summarization and insights.\n YOU MUST HAVE\n5+ years of experience in data science, audit analytics, risk analytics, fraud analytics, or a related field.\n3+ years of experience developing and implementing predictive or machine learning models, including classification, regression, anomaly detection, or risk scoring.\n3+ years of experience developing data pipelines, ETL processes, business intelligence /data visualization or data warehouse solutions using technologies such as PowerBI, Snowflake, Databricks, or Spark.\n3+ years of experience applying data analytics to Enterprise Risk Management, business, risk, audit, compliance, cybersecurity, or fraud-related problems.\nWE VALUE\nIntrapreneurial growth mindset-demonstrated ability to proactively identify opportunities, challenge existing approaches, experiment responsibly, learn from feedback, and take ownership of innovative solutions that create measurable business value.\nExperience managing projects and communicating with senior stakeholders.\nStrong analytical skills with the ability to translate complex data into actionable insights.\nAbility to collaborate effectively across technical and business teams in a fast-paced environment.\nBachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.\nExperience applying analytics to audit, risk management, cybersecurity, fraud detection, or regulatory compliance use cases.\nExperience with audit analytics aligned to frameworks such as SOX, GDPR, NIST, or PCI DSS.\nProficiency in programming languages such as Python and SQL.\nExperience with explainable AI techniques such as SHAP or LIME.\nExperience monitoring model performance, detecting model drift, and retraining machine learning models.\nExperience implementing CI/CD pipelines for analytics or machine learning workflows.\nExperience with generative AI, agentic AI, large language models (LLMs), natural language processing (NLP), or AI-enabled data summarization.\nExperience using security and cybersecurity tools such as Splunk, Microsoft Defender, SentinelOne, Tanium or Qualys.\nExperience with cloud platforms and machine learning lifecycle management.\nBENEFITS OF WORKING FOR HONEYWELL\nIn addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)\nThe application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job posted 9/14/2026\nABOUT HONEYWELL TECHNOLOGIES\nHoneywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy. \nLearn more (https://www.honeywell.com/us/en)","description_format":"text","description_chars":5727,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Smart Building & Cities","Industrial Automation","Aerospace Manufacturing","Security Compliance"],"lifecycle":[{"event":"open","at":"2026-09-28T05:01:24Z"},{"event":"close","at":"2026-10-02T14:18:38Z"},{"event":"reopen","at":"2026-10-12T15:21:30Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 150 · green card filings: 52","filings_12m":150,"filings_prev_12m":214,"green_card_filings_12m":52,"median_offered_wage_usd":157351,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":15}],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.47,"p_room":0.75,"age_days":16,"expected_fill_days":19,"reasons":["conf:0","stale_co","win:late","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/honeywell-data-scientist-ii","json_url":"https://alion.io/job/honeywell-data-scientist-ii.json","meta":{"generated_at":"2026-10-14T11:31:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13885,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":15856},"rest":"https://alion.io/mcp/rest/get_company?id=15856"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhoneywell-data-scientist-ii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhoneywell-data-scientist-ii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhoneywell-data-scientist-ii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/honeywell-data-scientist-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhoneywell-data-scientist-ii"}]}