{"id":2273711,"url":"https://alion.io/job/swbc-data-scientist-ii","title":"Data Scientist II","company":{"id":1971330,"name":"SWBC","domain":"swbc.com","url":"https://alion.io/company/swbc","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Antonio, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":162000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":407},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Context Engineering","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-05-28T00:00:00Z","employer_posted_date":"2026-05-28","last_verified_at":"2026-10-12T18:09:20Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":137},"description":"SWBC is seeking a talented individual who will contribute to the development of machine learning models, analytical solutions, and AI-driven capabilities that directly impact business performance and client outcomes. This role works closely with the Senior Data Scientist, Analytics Engineers, and Data Analysts to design, build, and deploy data science solutions within SWBC's modern, cloud-native data ecosystem and enterprise AI/ML platform. The Data Scientist II is expected to independently lead analyses and model development projects with minimal guidance, while contributing to the broader AI strategy of the organization.\nWhy you'll love this role:\nIn this role, you will work hands-on with cutting-edge tools and platforms every day, including Hex for experimentation, Omni for AI context development powering Clara, and SWBC Intelligence our multi-model AI orchestration platform spanning AWS Bedrock and AWS Sagemaker to build and deploy intelligent solutions for internal and client-facing use cases. We offer a collaborative environment that values continuous learning, empirical rigor, and professional growth.\nEssential duties include the following:\nDesign, develop, and deploy machine learning models and analytical solutions to address business problems, including forecasting, segmentation, classification, and anomaly detection.\nContribute to the development and enhancement of Clara, SWBC's AI decision assistant, including supporting context engineering within Omni, prompt development, and model evaluation workflows.\nBuild and maintain ML/AI experiment workflows using Hex for prototyping and exploration, and AWS SageMaker and MLflow for experiment tracking, feature engineering, and model versioning.\nDevelop and deploy AI/ML solutions within SWBC Intelligence, the enterprise multi-model AI orchestration platform, leveraging AWS Bedrock and AWS Sagemaker as directed by senior team members.\nConduct exploratory data analysis and feature engineering using data sourced from SWBC's governed medallion architecture (Bronze - Silver - Gold) in Snowflake.\nParticipate in the platform's Evaluation Harness process, including test case development, model benchmarking, and scoring framework contribution to ensure solution quality.\nPerform AI experimentation and prototyping within governed sandbox environments, including Snowflake Sandbox and Hex, ensuring adherence to data privacy and compliance requirements.\nApply Responsible AI principles, including bias detection, model explainability, and fairness monitoring, to all model development activities.\nCollaborate with cross-functional teams including Analytics Engineering, Data Management, and business stakeholders to translate business problems into data science solutions.\nCommunicate findings, model results, and recommendations to both technical and non-technical audiences through clear documentation, visualizations, and presentations.\nStay current with emerging trends in data science, machine learning, and AI, and contribute to the team's knowledge sharing and continuous improvement culture.\nSerious candidates will possess the minimum qualifications:\nMaster's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline. Equivalent professional experience (5+ years) may be considered in lieu of an advanced degree.\nMinimum of two (2) years of progressive experience in data science, analytics, or machine learning roles.\nProficiency in Python and SQL, with working knowledge of ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent.\nExperience developing and deploying models within cloud-based AI/ML platforms, preferably AWS (SageMaker, S3) and Snowflake.\nFamiliarity with MLOps tools and practices, including MLflow, experiment tracking, and model versioning.\nProficiency in Hex for data science experimentation and prototyping.\nUnderstanding of statistical modeling, hypothesis testing, and experimental design.\nAbility to work with structured and semi-structured data, perform data cleaning, and conduct exploratory analysis.\nStrong communication skills with the ability to present findings to both technical and non-technical audiences.\nAbility to interpret ambiguity and work with minimal direction on defined project scopes.\nAbility to lift 20 lbs. of files, supplies, documents, or other related items.\nSWBC offers*:\nCompetitive overall compensation package\nWork/Life balance \nEmployee engagement activities and recognition awards \nYears of Service awards\nCareer enhancement and growth opportunities \nLeadership Academy and Mentor Program\nContinuing education and career certifications \nVariety of healthcare coverage options\nTraditional and Roth 401(k) retirement plans \nLucrative Wellness Program\n*Based upon employee eligibility\nAdditional Information:\nSWBC is a Substance-Free Workplace and requires pre-employment drug testing.\nPlease note, SWBC does not hire tobacco users as allowed by law.\nTo learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.","description_format":"text","description_chars":5093,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth opportunities","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Insurance Brokers & Agencies"],"lifecycle":[{"event":"open","at":"2026-10-11T08:22:14Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.183,"p_room":0.28,"age_days":137,"expected_fill_days":24,"reasons":["conf:2","stale_co","win:tail","crowd:"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/swbc-data-scientist-ii","json_url":"https://alion.io/job/swbc-data-scientist-ii.json","meta":{"generated_at":"2026-10-12T20:12:39Z","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":32764,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":1971330},"rest":"https://alion.io/mcp/rest/get_company?id=1971330"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fswbc-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%2Fswbc-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%2Fswbc-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/swbc-data-scientist-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fswbc-data-scientist-ii"}]}