{"id":1460902,"url":"https://alion.io/job/brillio-data-scientist-r01572015","title":"Data Scientist - R01572015","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":81,"open_postings":41,"ghost_share":0,"stale_share":0.976,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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PySpark, and R\nConduct comprehensive statistical analysis with SAS, SPSS, and R Studio to support data-driven decision-making\nBuild, train, and deploy scalable models using ML frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet\nApply advanced time series forecasting methods, including exponential smoothing, ARIMA, and ARIMAX, to analyze trends and predict outcomes\nStreamline model deployment and lifecycle management in production environments using KubeFlow and BentoML\nImplement and validate data quality checks with Great Expectations and Evidently AI to ensure dataset integrity\nPresent complex data findings to stakeholders, translating insights into actionable recommendations that drive business outcomes\nRequired Skills:\nAdvanced application of hypothesis testing methodologies, including T-Test and Z-Test\nExpert-level regression analysis (linear and logistic) for predictive modeling\nProficient programming in Python and PySpark for data manipulation and model development\nExtensive experience with statistical analysis using SAS and SPSS\nHands-on expertise in probabilistic graph models for complex data relationships\nMastery of time series forecasting techniques (exponential smoothing, ARIMA, ARIMAX)\nImplementation of classification algorithms such as decision trees and support vector machines (SVM)\nDeep familiarity with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet\nCalculation and application of distance metrics (Hamming, Euclidean, Manhattan)\nSkilled in R and R Studio for statistical analysis and visualization\nPreferred Skills:\nPractical experience with Great Expectations and Evidently AI for advanced data validation\nProficiency in cloud-based model deployment tools such as KubeFlow and BentoML\nBackground in large-scale data processing and distributed computing environments\nExpertise in feature engineering and model interpretability techniques\nFamiliarity with cloud-based data science platforms such as AWS SageMaker, Azure ML, or Google Cloud AI Platform\nDesired Qualifications:\nBachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline\nCertification in Data Science or Machine Learning from a recognized institution, such as Microsoft Certified: Azure Data Scientist Associate or TensorFlow Developer Certificate","description_format":"text","description_chars":2870,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","AI Consulting & Integration","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-29T12:13:09Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":21,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/brillio-data-scientist-r01572015","json_url":"https://alion.io/job/brillio-data-scientist-r01572015.json","meta":{"generated_at":"2026-10-01T01:12:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"assistant","counted_by":"address","units_charged":1,"used_today":69,"day_limit":2000,"remaining_today":1931,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}