GuruSchools LLC

Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
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🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 19, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Irvington, NY
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🧠 - Skills detailed
#Data Analysis #Cloud #SQL (Structured Query Language) #NLP (Natural Language Processing) #Pandas #Python #Data Engineering #Databricks #Data Science #Datasets #Computer Science #Statistics #Forecasting #Data Cleansing #BI (Business Intelligence) #ML (Machine Learning) #Clustering #Big Data #Azure #A/B Testing #Mathematics #Azure Databricks #DAX #Spark (Apache Spark) #Classification #Microsoft Power BI #PySpark #ML Ops (Machine Learning Operations)
Role description
Role:Β Data Analyst Senior Location:Β 4 Irving Place, NYC (Hybrid - onsite required) Duration: 12-Month Contract Mode of Interview: F2F Organization: Digital Products & Demo Projects - Customer Energy Solutions Experience: 7+ Years MUST HAVE: β€’ Strong Machine Learning background β€’ Applied Machine Learning β€’ ML Ops β€’ PySpark β€’ Python Pandas β€’ Strong SQL β€’ Azure Databricks β€’ Big Data Analytics β€’ Data Structures β€’ NLP experience β€’ A/B Testing experience β€’ Experience with GenAI / LLMs β€’ Power BI / DAX Queries β€’ Root cause analysis for dashboard issues β€’ Strong coding background β€’ Google Cloud experience β€’ Databricks Certified Data Engineer Associate (must obtain once hired) β€’ Google Cloud Certified Machine Learning Engineer (must obtain once hired) Requirements: β€’ Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field β€’ 7+ years of experience in Data Science and Machine Learning Engineering β€’ Experience designing, training, and deploying ML models β€’ Experience with cloud-based infrastructure β€’ Excellent communication skills Key Responsibilities: β€’ Design and optimize ML models including forecasting, classification, and clustering β€’ Perform feature engineering, validation, and tuning β€’ Build data cleansing and enrichment tools β€’ Analyze large datasets and deliver actionable insights β€’ Collaborate with architects, engineers, and analysts β€’ Support dashboards, analytics, and workflow optimization Again, LOCAL candidates ONLY who can interview onsite in NYC.