Senior Data Analyst (Machine Learning Focus)

LOCALS ONLY PLEASE!! Organization: Digital Products & Demo Projects – Customer Energy Solutions Location: New York, NY 10003 Work Model: Hybrid (Onsite presence required)- MUST ALSO DO IN PERSON INTERVIEW Hours: 40 hours/week Pay Type: Hourly Experience Level: 7–20 years Job Summary Our client is seeking a Senior Data Analyst with strong Machine Learning experience to design, build, and optimize advanced analytics and ML solutions. This role focuses on predictive modeling, data mining, ML Ops, and transforming complex datasets into actionable business insights using modern cloud and data platforms. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field 7+ years of hands-on experience in data science and machine learning engineering Strong expertise in: Python (full-stack) for data science workloads Advanced SQL and relational databases PySpark Power BI (Dashboards, DAX queries, visualization best practices) Experience with: Azure Databricks (Azure Databricks Data Engineer Associate certification strongly preferred) Oracle databases Modern data science libraries (scikit-learn, pandas, NumPy) Strong background in: Machine learning algorithms and predictive modeling ML Ops (model deployment, monitoring, lifecycle management) Natural Language Processing (NLP) Generative AI and Large Language Models A/B testing and experimental analysis Proven ability to: Analyze root causes of dashboard and data issues Interpret complex datasets and deliver actionable insights Familiarity with cloud-based infrastructure Excellent communication, analytical, and problem-solving skills Nice to Have Google Cloud Platform experience Google BigQuery Key Responsibilities Advanced Analytics & Machine Learning Design, develop, and optimize ML models (forecasting, classification, clustering) Apply data mining techniques to uncover trends and patterns Perform feature engineering, model validation, and performance tuning Evaluate and deploy modern AI/ML techniques to improve automation and analytics Data Preparation & Quality Prepare structured and unstructured data for advanced analytics Develop scripts for data cleansing, validation, and enrichment Partner with Data Engineering to maintain reliable data pipelines Identify data quality issues and recommend remediation strategies Analytics, Insights & Reporting Conduct deep-dive analyses to identify trends and improvement opportunities Support dashboards, metrics, and analytical solutions Communicate findings clearly to both technical and non-technical stakeholders Cross-Team Collaboration Work with architects, engineers, and analysts to define analytical requirements Contribute to data model design and workflow optimization Promote best practices in machine learning, analytics, and data governance Pay: From $65.00 per hour Expected hours: 40.0 per week Benefits: 401(k) Dental insurance Health insurance Vision insurance Application Question(s): How many years of experience do you have with machine learning? Where do you currently reside? Are you able to do an onsite interview in NY? Are you able to work in a hybrid environment? How many years have you been a Data Analyst? Work Location: Hybrid remote in New York, NY 10003