{"id":1173582,"url":"https://alion.io/job/brillio-data-scientist-r01571772","title":"Data Scientist - R01571772","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":80,"open_postings":41,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-09-26T05:45:00Z"}},"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, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":431},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BentoML","optional":false},{"name":"Evidently AI","optional":false},{"name":"Great Expectations","optional":false},{"name":"Keras","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SAS","optional":false},{"name":"SPSS","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T08:41:06Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-27T01:05:43Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Data Scientist\nJob requirements\nExperience Range: With at least 4 years of experience in advanced data science, statistical analysis, and machine learning model development, including hands-on work with large datasets and production model deployment. Key Responsibilities:\nDesign, develop, and deploy advanced statistical and machine learning models using Python, R, and specialized frameworks to address complex business challenges\nConduct rigorous statistical analysis, including hypothesis testing, regression analysis, and probabilistic modeling, to extract actionable insights from large-scale data\nImplement and validate data quality checks using tools such as Great Expectations and Evidently AI to ensure data and model integrity\nCollaborate with cross-functional teams to define data-driven strategies, translate business requirements into analytical solutions, and present findings to stakeholders\nDevelop, optimize, and maintain forecasting models using techniques such as exponential smoothing, ARIMA, and ARIMAX to support business planning\nBuild, train, and evaluate classification and regression models using ML frameworks (TensorFlow, PyTorch, Sci-Kit Learn, Keras, MXNet, CNTK)\nDeploy and monitor models in production environments using scalable cloud-native tools such as KubeFlow and BentoML\nDocument methodologies and contribute to continuous improvement of analytics best practices\nRequired Skills:\nAdvanced proficiency in Python and PySpark for data analysis and model development\nExpertise in statistical analysis and computing using SAS or SPSS\nHands-on experience with regression techniques including linear and logistic regression\nStrong knowledge of hypothesis testing, including T-Test and Z-Test methodologies\nProficient in building and interpreting probabilistic graphical models\nExperience with classification algorithms such as Decision Trees and Support Vector Machines (SVM)\nSkilled in forecasting techniques including exponential smoothing, ARIMA, and ARIMAX\nFamiliarity with distance metrics such as Hamming, Euclidean, and Manhattan Distance\nWorking knowledge of R and R Studio for statistical modeling\nExperience with data validation and monitoring tools such as Great Expectations and Evidently AI\nPreferred Skills:\nExperience deploying machine learning models using KubeFlow or BentoML\nProficiency with deep learning frameworks such as TensorFlow, PyTorch, Keras, MXNet, or CNTK\nBackground in cloud-based analytics platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform)\nExposure to automated machine learning (AutoML) workflows\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 provider (e.g., Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional Certificate)","description_format":"text","description_chars":2888,"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":"2026-09-24T09:36:34Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/brillio-data-scientist-r01571772","json_url":"https://alion.io/job/brillio-data-scientist-r01571772.json","meta":{"generated_at":"2026-09-27T01:38:06Z","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":"crawler","counted_by":"address","units_charged":1,"used_today":1481,"day_limit":5000,"remaining_today":3519,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}