ChatGPT Jobs · 13 hours ago
Senior Data Scientist / Machine Learning Engineer
New York, NY
Full-time
Hybrid
Senior Level
$50/hr - $58/hr
7+ years expChatGPT Jobs is seeking a highly skilled Senior Data Scientist / Machine Learning Engineer to design, build, and maintain advanced analytics and machine learning solutions for a Fortune 500 client. This role involves hands-on data science, ML engineering, and MLOps, focusing on developing production-ready models and translating complex data into actionable insights for various stakeholders.
Computer Software
Responsibilities
Design, develop, and optimize machine learning models including forecasting, classification, and clustering solutions
Apply data mining and statistical techniques to uncover trends, patterns, and insights from large, complex datasets
Perform feature engineering, model training, validation, and performance tuning
Explore and deploy modern AI, GenAI, and NLP approaches to enhance automation and analytical capabilities
Support A/B testing and experimental design to evaluate model and business performance
Prepare and analyze structured and unstructured data for advanced analytics and modeling
Develop scripts and tools for data cleansing, validation, enrichment, and transformation
Partner with Data Engineering to ensure efficient, reliable data pipelines and scalable data access
Identify data quality issues, perform root cause analysis, and recommend remediation strategies
Troubleshoot and resolve dashboard and reporting data issues to ensure accuracy and consistency
Design, deploy, and maintain production-grade machine learning models
Apply MLOps best practices for model versioning, monitoring, retraining, and performance tracking
Write high-quality, maintainable code following software engineering best practices
Leverage cloud-based infrastructure to support scalable analytics and ML workloads
Conduct deep-dive analyses to support diagnostic, predictive, and prescriptive use cases
Communicate complex analytical findings in clear, concise terms to both technical and business audiences
Support the development of dashboards, metrics, and analytical solutions using tools such as Power BI and DAX
Work closely with architects, engineers, analysts, and business stakeholders to define analytical requirements
Contribute to conceptual data model design, workflow optimization, and analytics standards
Promote best practices in data science, machine learning, analytics, and data governance
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field
7+ years of experience in data science and machine learning engineering
Strong experience with machine learning algorithms, predictive modeling, and data mining
Proficiency in Python (required) for data science and ML workloads
Strong SQL (required) skills with relational databases
Proficiency in PySpark (required) for large-scale data processing
Experience with Azure Databricks, Oracle, and modern data science libraries such as scikit-learn, pandas, and NumPy
Experience with GenAI and large language models
Hands-on experience with MLOps and deploying ML models into production
Experience with Natural Language Processing (NLP)
Minimum 3 years of experience with data visualization tools such as Power BI, including DAX queries and best practices
Strong ability to interpret complex datasets and produce actionable insights
Excellent communication, analytical, and problem-solving skills
Preferred
Knowledge of statistical methods and experimental design
Experience with A/B testing frameworks
Familiarity with cloud-native analytics and ML infrastructure
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase