{"id":3299670,"url":"https://alion.io/job/bebo-technologies-senior-data-scientist-2","title":"Senior Data Scientist","company":{"id":3800625,"name":"bebo Technologies","domain":"bebotechnologies.com","url":"https://alion.io/company/bebo-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chandigarh, 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Responsibilities:\nDefine and build the metrics framework for the digital ordering pipeline — from order intake through result delivery\nDesign and deliver dashboards that track order volume, throughput, turnaround times, error rates, and system stability across multiple integration points\nBuild predictive models to forecast order failures, volume trends, and capacity needs\nDevelop automated anomaly detection to surface pipeline issues before they escalate\nApply statistical methods for root cause analysis — diagnosing why systems fail, not just what failed\nPartner with engineering teams to instrument data collection where gaps exist\nTranslate complex technical and statistical findings into clear narratives for executive\nLeadership, engineering management, and individual engineering teams\nInvestigate ad-hoc data questions — diagnosing production issues, quantifying impact of incidents, and supporting root cause analysis\nDocument metric definitions, model logic, data sources, and dashboard design so the organization can maintain and extend your work independently\n\nJob Requirements:\n8+ years of experience in a data scientist, ML engineer, or advanced analytics role\nStrong foundation in statistics — hypothesis testing, regression, time series analysis, Bayesian methods\nAdvanced SQL — comfortable writing complex queries across large, multi-source datasets\nProficiency in Python or R for analysis, modeling, and automation\nExperience with ML/statistical libraries (scikit-learn, statsmodels, pandas, NumPy, or similar)\nExperience with AWS data and ML services (SageMaker, Redshift, Athena, Glue, QuickSight, or similar)\nHands-on experience with Tableau\nDemonstrated ability to define metrics frameworks and build dashboards from scratch, not just maintain existing ones\nExperience building anomaly detection or predictive models in a production or operational context\nStrong communication skills — able to present statistical findings to executives, engineering leaders, and technical teams with equal clarity\nExperience working across multiple teams or systems, synthesizing data from disparate sources into a unified view","description_format":"text","description_chars":2141,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-26T23:09:45Z"}],"visa":[],"liveness":{"score":98,"band":"hot","label":"Hiring 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