{"id":58767,"url":"https://alion.io/job/guidehouse-databricks-data-scientist","title":"Databricks Data Scientist","company":{"id":4179,"name":"Guidehouse","domain":"guidehouse.com","url":"https://alion.io/company/guidehouse","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":136,"ghost_share":0.007,"stale_share":0.61,"repost_share":0.022,"time_to_fill_p50_days":21,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Tysons, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":113000,"max":188000,"currency":"USD","period":"year","gross":null,"usd_annual":188000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Feature Store","optional":true},{"name":"GCP","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-18T11:53:21Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":65},"description":"Job Family:\nData Science & Analysis, Data Science ConsultingTravel Required:\nNoneClearance Required:\nNoneGuidehouse is seeking a Databricks Data Scientist to join our AI & Data team to support client projects involving advanced analytics, machine learning, and data science solutions. This role focuses on working with data to develop models, generate insights, and support data-driven decision-making across teams. The role requires strong Python and SQL skills, analytical thinking, and the ability to collaborate with clients and stakeholders to deliver scalable data science solutions.\nThis position offers virtual work flexibility within the United States. While remote candidates will be considered, preference will be given to candidates located near a Guidehouse office in one of the following markets: Arlington, VA; Washington, DC; New York, NY; Chicago, IL; Austin, TX; Atlanta, GA; Boston, MA; and Boulder, CO.\nPlease note, this requisition supports hiring across multiple levels to support our Databricks Data Science Teams. The posted salary range represents a range of potential compensation and will vary based on the selected candidate’s experience, qualifications, location, and the level at which the position is filled.\nWhat You Will Do:\nDevelop, train, and evaluate machine learning and statistical models to support business and mission needs using the Databricks platform.\n\nPrepare, clean, and maintain datasets for modeling, experimentation, and analysis.\n\nWrite, optimize, and maintain Python and SQL workflows for data exploration, feature engineering, and model development.\n\nWork with large-scale datasets using Databricks, Spark, and Delta Lake platforms.\n\nDesign reusable feature engineering workflows and model training pipelines using Databricks notebooks, workflows, and MLflow.\n\nRegister, version, promote, and document models using MLflow Model Registry and Unity Catalog-based model governance practices.\n\nMonitor deployed models for performance, drift, data quality, usage patterns, and operational issues; recommend retraining, tuning, or retirement actions as needed.\n\nAnalyze data to identify trends, patterns, and insights to support business decisions.\n\nTranslate business requirements into analytical approaches, models, and data science solutions.\n\nPerform data validation, quality checks, and issue resolution to ensure accuracy and consistency.\n\nCollaborate with cross-functional teams including data engineers, analysts, and business stakeholders.\n\nCommunicate model outputs, analytical findings, and recommendations to both technical and non-technical audiences.\n\nDocument models, datasets, and methodologies to support reproducibility, transparency, and reuse.\n\nFollow data governance, security, and compliance standards within the platform.\n\nWhat You Will Need:\nBachelor’s degree in computer science, engineering, mathematics, statistics, or another relevant field.\n\n3-8 years of relevant experience in data science, machine learning, or advanced analytics.\n\nStrong experience with Python and SQL for data analysis, modeling, and transformation.\n\nExperience with Databricks, Spark, Delta Lake, or similar cloud-native data platforms.\n\nHands-on experience designing, building, evaluating, and deploying machine learning models, including experience moving models from prototype to production or production-like environments.\n\nExperience with ML lifecycle practices including experiment tracking, model evaluation, model registry, version control, deployment workflows, monitoring, and retraining approaches.\n\nFamiliarity with model serving patterns, API-based inference, scheduled batch scoring, and integration of model outputs into dashboards, applications, or operational workflows.\n\nExperience with data preparation, feature engineering, and model development.\n\nAbility to analyze data and communicate insights clearly.\n\nAbility to troubleshoot technical issues, communicate recommendations clearly, and work effectively in team-based delivery environments.\n\nExperience supporting AI governance practices, including model documentation, validation, monitoring, version control, and responsible AI considerations.\n\nAbility to work across data science, data engineering, cloud, security, and client stakeholder teams to translate analytical prototypes into scalable, maintainable solutions.\n\nWhat Would Be Nice to Have:\n2+ years of hands-on experience with the Databricks platform.\n\nActive Databricks Machine Learning Engineer, GenAI Engineer, Data Analyst, or related certification.\n\nExperience with Databricks MLflow, Feature Engineering, Feature Store, Model Serving, Workflows, Unity Catalog, Mosaic AI, Vector Search, AI Gateway, or related Databricks AI/ML capabilities.\n\nExperience developing GenAI, LLM, RAG, agentic AI, or prompt evaluation workflows using Databricks Mosaic AI, MLflow, open-source frameworks, or cloud-native AI services.\n\nExperience with CI/CD, automated testing, code packaging, environment promotion, and source control practices for data science and machine learning workloads.\n\nExperience with machine learning frameworks and statistical modeling techniques.\n\nExperience with cloud platforms such as Azure, AWS, or GCP.\n\nExperience working in project-based or consulting delivery environments.\n\nFamiliarity with data modeling, data warehousing, and large-scale data processing concepts.\n\nThe annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.What We Offer:\nGuidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.\nAbout Guidehouse\nGuidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.\nGuidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.\nIf you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.\nAll communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.\nIf any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.\nGuidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.","description_format":"text","description_chars":7941,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Texas","iso":null,"kind":"city"},{"name":"Virginia","iso":null,"kind":"city"},{"name":"Illinois","iso":null,"kind":"city"},{"name":"Massachusetts","iso":null,"kind":"city"},{"name":"New York","iso":null,"kind":"city"},{"name":"District of Columbia","iso":null,"kind":"city"},{"name":"Colorado","iso":null,"kind":"city"},{"name":"Georgia","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-08-14T00:00:00Z"},{"event":"close","at":"2026-09-13T06:52:20Z"},{"event":"reopen","at":"2026-10-15T14:55:20Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 24 · green card filings: 14","filings_12m":24,"filings_prev_12m":23,"green_card_filings_12m":14,"median_offered_wage_usd":132500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":4}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.274,"p_room":0.28,"age_days":64,"expected_fill_days":21,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":188000,"is_top_pay":true},"html_url":"https://alion.io/job/guidehouse-databricks-data-scientist","json_url":"https://alion.io/job/guidehouse-databricks-data-scientist.json","meta":{"generated_at":"2026-10-18T12:25:58Z","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":18346,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":4179},"rest":"https://alion.io/mcp/rest/get_company?id=4179"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fguidehouse-databricks-data-scientist"},{"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%2Fguidehouse-databricks-data-scientist"},{"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%2Fguidehouse-databricks-data-scientist"},{"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/guidehouse-databricks-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fguidehouse-databricks-data-scientist"}]}