{"id":826434,"url":"https://alion.io/job/thaloz-co-sr-data-scientist-229","title":"CO - Sr. Data Scientist - 229","company":{"id":693092,"name":"Thaloz","domain":"thaloz.com","url":"https://alion.io/company/thaloz","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":108000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"BigQuery","optional":true},{"name":"dbt","optional":true},{"name":"Feature Store","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-05-06T00:00:00Z","employer_posted_date":"2026-05-06","last_verified_at":"2026-10-21T00:29:58Z","board_verified":true,"closed_at":null,"days_open":168,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":167},"description":"Clearco is a leader in AI and data-driven eCommerce funding, providing non-dilutive capital that helps founders grow without sacrificing equity. We are hiring a Senior Data Scientist to shape the models, experiments, and analytics that drive our risk, underwriting, and revenue decisions.\nThis hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into production-grade models and measurable outcomes that responsibly scale funding for eCommerce businesses.\nResponsibilities\nDesign and execute data science experiments, including causal analysis, A/B tests, and offline evaluation.\nDevelop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance.\nOwn model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability.\nPartner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability.\nPerform exploratory data analysis, feature engineering, and robust validation on real-world, messy data.\nCommunicate insights and recommendations clearly to technical and non-technical stakeholders through documentation and presentations.\nImprove analytical standards, code review practices, and documentation to raise technical quality.\nMentor and support team members through pairing, feedback, and sharing best practices.\nRequirements\n5+ years of professional experience in data science, applied machine learning, or a related quantitative role.\nStrong foundations in statistics and experimentation, including hypothesis testing, causal reasoning, and evaluation design.\nProven experience building and shipping predictive models (classification, regression, time series) and measuring real-world impact.\nStrong proficiency in Python and SQL and comfort working with production data workflows.\nExperience defining success metrics, aligning with stakeholders, and delivering end-to-end outcomes.\nStrong written communication skills and a pragmatic approach to fast-moving environments.\nExperience owning model performance, monitoring for drift, and improving feature reliability.\nNice to Have\nExperience with credit risk, underwriting, fraud/risk signals, or financial forecasting.\nExperience with modern data tooling and warehouses such as BigQuery or Snowflake and transformation frameworks like dbt.\nFamiliarity with MLOps patterns (model deployment, monitoring, feature stores, orchestration) and cloud environments.\nExperience working with messy third-party data sources (banking data, eCommerce platforms, marketing signals).","description_format":"text","description_chars":2749,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-12T14:41:46Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long 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