{"id":2465295,"url":"https://alion.io/job/eteam-data-scientist-load-renewable-generation-forecasting","title":"Data Scientist – Load & Renewable Generation Forecasting","company":{"id":3802024,"name":"eTeam","domain":"eteaminc.com","url":"https://alion.io/company/eteam-2","size_band":"5000+","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":["Juno Beach, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70,"max":75,"currency":"USD","period":"hour","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Git","optional":false},{"name":"LightGBM","optional":false},{"name":"NumPy","optional":false},{"name":"Plotly","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"Streamlit","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-13T16:33:35Z","employer_posted_date":null,"last_verified_at":"2026-10-13T16:33:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"eTeam is recruiting for a Senior Data Scientist role supporting forecasting across NextEra Energy operations. The role focuses on developing, optimizing, deploying, and monitoring wind generation forecasts, while also supporting solar and load forecasting and evaluating weather and Numerical Weather Prediction provider performance.\n\nResponsibilities\nDevelop and enhance Wind, Solar, and Load forecasting models from research and backtesting through production implementation\nBuild forecasting approaches using combinations of:\nPerform feature engineering, model selection, optimization, and validation\nDevelop backtesting and benchmarking processes to evaluate forecast performance across sites, horizons, seasons, and operating conditions\nInvestigate forecast errors and determine whether they originate from weather, model behavior, data quality, or operational conditions\nImprove existing and legacy forecasting models while identifying opportunities to simplify and modernize model architecture\nAnalyze multiple weather and NWP providers for accuracy, reliability, coverage, latency, available variables, forecast horizon, and operational value\nCompare provider performance by:\nIdentify the relative strengths and weaknesses of individual weather providers and determine where specific providers or variables may provide superior forecasting value\nAssess redundancy and overlap across weather services and support recommendations for an efficient core set of providers\nDevelop and evaluate approaches for:\nEnsure correct alignment of weather forecast issue times, valid times, time zones, spatial resolution, measurement units, and forecast horizons\nMonitor weather-data quality and identify provider anomalies or degradation that could impact production forecasts\nApply relevant physical, meteorological, and operational knowledge across forecasting applications\nMonitor forecast performance using metrics such as MAE, RMSE, normalized error, bias, forecast skill, and probabilistic metrics where appropriate\nBenchmark internal forecasts against persistence, existing models, alternative weather providers, and third-party forecasts\nDevelop monitoring and diagnostics for:\nImplement appropriate logging, alerts, error handling, and recovery procedures\nSupport forecasting solutions designed to continue operating when individual data feeds or weather services become unavailable\nPerform root-cause analysis of significant forecast misses and recommend corrective actions\nDevelop data connectors and pipelines supporting weather, telemetry, historical generation, load, and operational data\nSupport scalable batch and near-real-time forecasting workflows\nMaintain clear model configuration, versioning, dependencies, and documentation\nCollaborate with data engineering and DevOps teams to deploy and maintain forecasting applications\nBuild dashboards and analytical tools using Streamlit, Plotly, or similar technologies to communicate forecast performance, model behavior, and operational impacts\n\nSkills\nExperience : 8 to 10 Year\nAdvanced proficiency in Python and common data-science libraries such as pandas, NumPy, scikit-learn, statsmodels, LightGBM, XGBoost, or equivalent tools\nDemonstrated experience developing and deploying forecasting, time-series, or predictive models\nStrong knowledge of:\nFeature engineering\nRegression and time-series methods\nGradient boosting\nEnsemble forecasting\nProbabilistic or quantile forecasting\nModel validation and backtesting\nExperience integrating and analyzing weather APIs, NWP forecasts, SCADA/telemetry, databases, and external data feeds\nAbility to evaluate weather-provider performance and determine its impact on forecast accuracy\nStrong SQL and data-analysis skills\nExperience transitioning models from research and development into reliable production workflows\nWorking knowledge of AWS services such as EC2, S3, Lambda, ECS, Step Functions, CloudWatch, and SageMaker, or comparable cloud technologies\nExperience with Git, version control, testing, and reproducible software-development practices\nStrong troubleshooting, analytical, communication, and documentation skills\nAbility to work independently while collaborating effectively with data scientists, data engineers, DevOps, operations, trading, and business stakeholders\n\nCompany Overview\neTeam is a staffing agency that also provides payrolling services. It was founded in 1999, and is headquartered in Somerset, New Jersey, USA, with a workforce of 501-1000 employees. Its website is http://www.eteaminc.com.\n\nCompany H1B Sponsorship\neTeam has a track record of offering H1B sponsorships, with 15 in 2026, 36 in 2025, 205 in 2024, 11 in 2023, 7 in 2022, 24 in 2021, 25 in 2020. Please note that this does not guarantee sponsorship for this specific role.","description_format":"text","description_chars":4771,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["IT Consulting & Digital Transformation"],"lifecycle":[{"event":"open","at":"2026-10-13T18:20:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["seen:0","win:early"],"computed_at":"2026-10-13T23:44:29Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/eteam-data-scientist-load-renewable-generation-forecasting","json_url":"https://alion.io/job/eteam-data-scientist-load-renewable-generation-forecasting.json","meta":{"generated_at":"2026-10-13T23:44:29Z","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":36170,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":3802024},"rest":"https://alion.io/mcp/rest/get_company?id=3802024"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feteam-data-scientist-load-renewable-generation-forecasting"},{"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%2Feteam-data-scientist-load-renewable-generation-forecasting"},{"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%2Feteam-data-scientist-load-renewable-generation-forecasting"},{"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/eteam-data-scientist-load-renewable-generation-forecasting\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feteam-data-scientist-load-renewable-generation-forecasting"}]}