{"id":3305445,"url":"https://alion.io/job/cognizant-data-scientist-vertex-ai","title":"Data Scientist- Vertex AI","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":91,"open_postings":164,"ghost_share":0.012,"stale_share":0.506,"repost_share":0.037,"time_to_fill_p50_days":21,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":163000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-26T18:24:03Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T04:50:41Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nServe as a senior data scientist within a hybrid work model designing and deploying robust analytics and machine learning solutions using Python Vertex AI BigQuery and GIT to address complex business challenges enhance decision quality and drive measurable value for global retail and merchandising focused initiatives across the enterprise.\nResponsibilities\nDevelop scalable machine learning models using Python to solve complex forecasting recommendation and optimization problems that directly improve business performance and customer satisfaction in a global context.\nDesign and implement end to end data pipelines that move transform and validate large scale datasets in BigQuery ensuring accuracy consistency and timely availability of data for analytics and modeling activities.\nConfigure and orchestrate production grade machine learning workflows on Vertex AI to enable reproducible experimentation model training tuning and automated deployment with strong focus on reliability and maintainability.\nApply rigorous exploratory data analysis techniques to uncover hidden patterns anomalies and opportunities in structured and unstructured data that inform strategic decisions in merchandising and adjacent domains.\nCreate robust version controlled repositories in GIT for code configuration and experiment artifacts enabling transparent collaboration traceable changes and safe rollback mechanisms for the entire data science lifecycle.\nCollaborate with product owners business analysts and engineering partners in a hybrid working environment to refine problem statements prioritize use cases and translate analytical findings into clear and actionable recommendations.\nDevelop interpretable feature engineering strategies and data transformations that respect data quality constraints while maximizing predictive power model stability and fairness across diverse customer segments.\nEvaluate multiple algorithmic approaches using well defined metrics cross validation strategies and backtesting frameworks to select models that balance accuracy robustness latency and operational cost.\nCommunicate complex model behavior assumptions and limitations through concise visualizations and narratives tailored to nontechnical partners to build trust and drive adoption of data driven solutions.\nImplement monitoring alerting and performance dashboards for models deployed through Vertex AI and BigQuery to detect data drift concept drift and service degradation before they impact business outcomes.\nEnsure compliance with data governance privacy and security guidelines by applying appropriate access controls anonymization techniques and documentation practices across all analytics assets.\nMentor junior data science practitioners through code reviews knowledge sharing sessions and collaborative problem solving that raise the overall technical bar and promote a culture of responsible innovation.\nAlign every analytics initiative with broader company objectives by quantifying business impact tracking realized value and highlighting how improved insights support more sustainable and inclusive outcomes for society.\nQualifications\nPossess ten to twelve years of hands on experience in advanced analytics and data science roles with a consistent record of delivering production grade machine learning solutions in complex organizational environments.\nDemonstrate expert proficiency in Python for data wrangling statistical analysis model development and automation including strong familiarity with widely used scientific and machine learning libraries.\nShow deep practical experience with BigQuery including writing optimized queries designing efficient schemas and managing large analytical workloads in a cloud native ecosystem.\nExhibit strong working knowledge of Vertex AI services covering experiment tracking pipeline development model registry usage and deployment of scalable online or batch prediction services.\nApply disciplined source control practices using GIT for branching code review and integration workflows that support collaborative development within distributed hybrid teams.\nDisplay solid understanding of merchandising or retail analytics concepts such as assortment optimization demand forecasting and promotion analysis even if exposure comes from partial or adjacent project experience.\nDemonstrate excellent communication and stakeholder engagement capabilities with the ability to translate technical insights into clear business language and influence decisions without relying on formal authority.\nShowcase strong problem solving mindset curiosity and adaptability with readiness to learn new tools techniques and domain knowledge to keep pace with evolving business and technology landscapes.","description_format":"text","description_chars":4746,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United 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