Senior Data Analyst
Indexed description
Role: Data Analyst Senior
Location: 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:
• Strong Machine Learning background
• Applied Machine Learning
• ML Ops
• PySpark
• Python Pandas
• Strong SQL
• Azure Databricks
• Big Data Analytics
• Data Structures
• NLP experience
• A/B Testing experience
• Experience with GenAI / LLMs
• Power BI / DAX Queries
• Root cause analysis for dashboard issues
• Strong coding background
• Google Cloud experience
• Databricks Certified Data Engineer Associate (must obtain once hired)
• Google Cloud Certified Machine Learning Engineer (must obtain once hired)
Requirements:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field
• 7+ years of experience in Data Science and Machine Learning Engineering
• Experience designing, training, and deploying ML models
• Experience with cloud-based infrastructure
• Excellent communication skills
Key Responsibilities:
• Design and optimize ML models including forecasting, classification, and clustering
• Perform feature engineering, validation, and tuning
• Build data cleansing and enrichment tools
• Analyze large datasets and deliver actionable insights
• Collaborate with architects, engineers, and analysts
• Support dashboards, analytics, and workflow optimization
Again, LOCAL candidates ONLY who can interview onsite in NYC.
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