{"id":743236,"url":"https://alion.io/job/ge-vernova-sr-analytics-engineer","title":"Sr Analytics Engineer","company":{"id":6165,"name":"GE Vernova","domain":"gevernova.com","url":"https://alion.io/company/ge-vernova","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":404,"ghost_share":0.005,"stale_share":0.634,"repost_share":0.04,"time_to_fill_p50_days":27,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Analytics","role_family":"Analytics","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Plotly","optional":true},{"name":"Power BI","optional":true},{"name":"Streamlit","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-11T13:14:39Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-28T14:25:33Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Job Description Summary\nAs a Senior Analytics Engineer on the Fleet Services Analytics team within Gas Power Engineering, you will develop analytics solutions and dashboard applications that help engineering teams identify equipment anomalies, diagnose component issues, and improve the reliability and performance of combined cycle power plants.In this role, you will work with large-scale operational, sensor, and event data to build Python-based analytics workflows, apply statistical and machine learning techniques, and create intuitive dashboards that support engineering teams in their investigations, customer issue resolution and improving product design. You will collaborate closely with domain experts, engineers, and cross-functional teams to turn complex operational data into actionable insights and scalable solutions.\nJob Description\nRoles and Responsibilities\nPartner with domain experts, engineering teams, and cross-functional stakeholders to identify high-impact analytics opportunities\n\nDevelop, test, and deploy Python-based analytics solutions using operational, sensor, and event data from power plant assets\n\nApply statistical methods, time-series analysis, machine learning techniques and AI to detect anomalies, identify failure patterns, and support diagnostics\n\nPerform data wrangling, exploratory data analysis, feature engineering, and root cause analysis on complex industrial datasets\n\nDesign, build, and maintain scalable analytics pipelines for batch and near-real-time processing\n\nDevelop dashboards, visualizations, and interactive analytics tools that provide insights for engineers to investigate equipment behavior, analyze trends, and troubleshoot customer issues and improve product design.\n\nTranslate user needs into technical solutions and iterate based on stakeholder feedback to improve usability and business impact\n\nValidate analytics performance, monitor deployed solutions, and continuously improve model accuracy, robustness, and interpretability\n\nFollow software development best practices, including version control, testing, code review, and documentation\n\nDocument data sources, methodologies, assumptions, and solution design to support maintainability, reproducibility, and knowledge sharing\n\nStay current with advances in anomaly detection, time-series analytics, and applied machine learning and AI, and evaluate their practical use in industrial applications\n\nRequired Qualifications\nBachelor’s or Master’s degree in Engineering, Computer Science, Statistics, Mathematics, Data Science, or a related technical field\n\n5-8 years of experience in analytics, data science, software development, or a related technical role.\n\nStrong programming skills in Python, with hands-on experience using libraries such as Pandas, NumPy, SciPy, scikit-learn, Pytorch, Tensorflow and related tools.\n\nStrong foundation in statistics, probability, data analysis, and time-series methods\n\nExperience working with large, complex, and noisy real-world datasets\n\nExperience developing production-quality analytics workflows, MLOps and CI-CD pipelines, dashboards or analytics applications\n\nStrong problem-solving skills with the ability to translate engineering or business challenges into practical analytical solutions\n\nStrong written and verbal communication skills, including the ability to explain technical concepts and analytical results to a range of stakeholders\n\nPreferred Qualifications\nExperience with anomaly detection, fault detection, diagnostics, predictive maintenance, or reliability analytics\n\nExperience working with industrial, operational, IoT, or sensor data\n\nExperience using AI tools like Github Copilot or Claude Code.\n\nExperience developing dashboards or analytics applications using tools such as Plotly Dash, Streamlit, Tableau, or Power BI\n\nFamiliarity with cloud platforms, CI/CD pipelines, data engineering workflows, or MLOps practices\n\nFamiliarity with combined cycle power plants, rotating equipment, thermal systems, or related industrial domains\n\nExperience supporting engineering, operations, or reliability teams with data-driven tools\n\nExposure to advanced time-series modelling or deep learning methods is a plus where relevant to practical use cases\n\nWhat Will Make You Stand Out\nAbility to solve ambiguous engineering problems and build practical solutions from first principles\n\nStrong intuition for identifying meaningful patterns, anomalies, and failure signals in time-series data\n\nTrack record of delivering analytics that drive measurable operational, reliability, or performance improvements\n\nAbility to develop solutions that are technically strong, interpretable, maintainable, and useful to end users\n\nStrong collaboration skills and a customer-focused mindset when working with engineering stakeholders\n\nPassion for learning and applying analytics to solve real-world industrial challenges\n\nNote:\nTo comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.\nThis Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.\nAdditional Information\nRelocation Assistance Provided: Yes","description_format":"text","description_chars":5639,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Artificial Intelligence","Industrial Machinery","Wind Energy","Smart Grid"],"lifecycle":[{"event":"open","at":"2026-09-11T13:14:39Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.537,"p_room":0.36,"age_days":46,"expected_fill_days":27,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/ge-vernova-sr-analytics-engineer","json_url":"https://alion.io/job/ge-vernova-sr-analytics-engineer.json","meta":{"generated_at":"2026-10-28T16:16:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21983,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6165},"rest":"https://alion.io/mcp/rest/get_company?id=6165"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fge-vernova-sr-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fge-vernova-sr-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fge-vernova-sr-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ge-vernova-sr-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fge-vernova-sr-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":743236}},{"tool":"search_jobs","arguments":{"company":"gevernova.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":743236},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}