{"id":3632694,"url":"https://alion.io/job/kstack-data-scientist","title":"Data Scientist","company":{"id":4495926,"name":"Kstack","domain":"kstack.com.br","url":"https://alion.io/company/kstack-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"InHire","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["São Paulo, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"NLP","optional":true},{"name":"RAG","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-09-08T21:45:18Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-11-10T04:38:22Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Location: São Paulo, Brazil\nAbout the Role\nWe are looking for an experienced Data Scientist with 6+ years of overall professional experience, including at least 3+ years of hands-on experience in Data Science, Machine Learning, and advanced analytics.\nThe ideal candidate has strong expertise in developing and deploying machine learning models, analyzing complex datasets, and translating business challenges into data-driven solutions. This role requires close collaboration with engineering, product, and business teams to design and deliver scalable AI/ML solutions that drive measurable business outcomes.\nKey Responsibilities\nDesign, develop, train, validate, and deploy machine learning and statistical models to solve complex business problems.\nAnalyze large and complex datasets to identify trends, patterns, correlations, and actionable insights.\nTranslate business requirements and challenges into effective Data Science and Machine Learning solutions.\nPerform data preprocessing, feature engineering, Exploratory Data Analysis (EDA), and model evaluation.\nDevelop predictive models using classification, regression, clustering, and other Machine Learning techniques, as appropriate.\nOptimize and fine-tune models to improve accuracy, scalability, and performance.\nCollaborate closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders.\nDesign and implement end-to-end Data Science solutions, from data preparation through model deployment.\nMonitor model performance in production and continuously improve models based on evolving business and production requirements.\nCommunicate complex analytical findings and model results clearly and effectively to both technical and non-technical stakeholders.\nFollow engineering and Data Science best practices for code quality, documentation, testing, version control, and model governance.\nRequired Skills & Qualifications\n6+ years of overall professional experience in software, analytics, data, or related technical roles.\n3+ years of hands-on experience specifically as a Data Scientist.\nStrong programming skills in Python.\nStrong understanding of Machine Learning algorithms, techniques, and core concepts.\nHands-on experience with libraries and frameworks such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.\nStrong foundation in statistics, probability, data modeling, and experimental design.\nHands-on experience with data preprocessing, feature engineering, model training, validation, and evaluation.\nStrong SQL skills and experience working with relational databases and/or large-scale data platforms.\nExperience with data visualization tools such as Power BI, Tableau, Matplotlib, or similar technologies.\nExperience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).\nUnderstanding of MLOps, model deployment, CI/CD, and production Machine Learning workflows is highly preferred.\nExperience working with large datasets and distributed data processing frameworks such as Apache Spark/PySpark is a plus.\nStrong analytical, problem-solving, and communication skills.\nPreferred / Nice-to-Have Qualifications\nExperience with Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), or Retrieval-Augmented Generation (RAG).\nExperience with frameworks such as LangChain, LlamaIndex, or similar technologies.\nKnowledge of Deep Learning and NLP techniques.\nExperience with Docker, Kubernetes, Git, and CI/CD pipelines.\nExperience building and deploying Machine Learning models using cloud-native services.\nExperience working in Agile/Scrum environments.\nEducation\n Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.","description_format":"text","description_chars":3749,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-02T20:33:46Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long 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