{"id":4196634,"url":"https://alion.io/job/verizon-data-science-engineer-iii-consultant","title":"Data Science Engineer III Consultant","company":{"id":96912,"name":"Verizon","domain":"verizon.com","url":"https://alion.io/company/verizon-about","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"bandit","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Plotly","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-12T20:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T20:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"What You'll Be Doing:\nKnowledge of experimental design and testing frameworks like A/B testing, multi-armed bandit testing, etc. to guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth, and customer satisfaction.\nBuild frameworks to enable effective measurement of experiments at scale.\nResearch and build proof-of-concept models utilizing various machine learning techniques and traditional statistical techniques to drive optimal business decisions for various use cases like call-routing and revenue growth through initiatives like driving Walmart+ and other subscriptions.\nBuild financial models leveraging survival modeling and other machine learning techniques to drive effective decisions across all base-management initiatives.\nDevelop customer segmentation models and response rate models to help in effective targeting of customers across different base-management initiatives.\nForecast KPIs leveraging time-series forecasting techniques to guide the business on metrics like churn, etc.\nGenerate business insights by using various predictive modeling techniques.\n\nAnalytics & Data Enablement:\nSynthesize predictive insights into concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D, etc.) to drive successful business outcomes.\nLeverage understanding of customer behaviors, strategic thinking, strong financial acumen, and cross-functional aptitude to build analytical solutions to make the best-informed decisions.\nWork on building either cloud-based predictive modeling solutions (AWS/GCP using PySpark or similar tools) or general predictive solutions depending on the use case.\nGuide the build and enhancement of the Customer Data Platform with a 360-degree view of customer and prospect profiles, interactions, and demographics.\nEnable the team with analytical solutions to evaluate marketing campaign effectiveness and identify areas for optimization.\nMeasure key performance indicators (KPIs) such as conversion rates, return on investment (ROI), and customer engagement metrics.\nProvide insights to refine targeting strategies, messaging, and channel allocation for future campaigns.\n\nWhat We're Looking For:\nBachelor's degree or four or more years of work experience.\nFour or more years of relevant work experience.\nPredictive / prescriptive modeling experience.\nExperience in SQL, Python (/R), and data visualization tools (Tableau, Qlik, or native Python or other libraries like Plotly/Streamlit, etc.).\nExperience with Microsoft Excel and PowerPoint.\nExperience managing large complex projects involving multiple work streams and stakeholders.\nStrong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plans to senior executives.\nExperience gathering, organizing, and analyzing large amounts of information.\nExperience presenting ideas and content to a variety of stakeholders at various levels.\nExperience working collaboratively with a variety of stakeholders.\n\nEven better if you have any one of the following:\nAbility to translate complex ideas and express them in concise, simple-to-understand ways.\nAbility to take initiative, influence others, and achieve results.\nAdvanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges.\nAbility to present and interact with all levels of management.\n\nWhere you'll be working:\nIn this hybrid role, you'll have a defined work location that includes 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