Senior Data Scientist

Title: Sr. Data Scientist / AI-ML Engineer Location: Westerville, OH (preferably local candidates) Duration: 2 months contract position Experience : 10+years Key Responsibilities: • Collaborate with stakeholders to understand business objectives and define requirements for anomaly detection. • Develop, optimize, and maintain computational models for debit transaction anomaly detection using AI/ML techniques. • Perform data analysis, generate insights, and identify patterns to support decision-making. • Design and implement statistical models, including standard deviation calculations, variance thresholds, and probabilistic models to enhance anomaly detection accuracy. • Work with existing models to apply backtracking methodologies and improve anomaly reduction strategies. • Leverage machine learning algorithms (e.g., classification, clustering, time-series modeling) to predict, detect, and manage anomalies. • Collaborate with engineers and business teams to integrate models into production systems. • Conduct performance monitoring, fine-tuning, and validation of ML models to ensure accuracy and reliability. • Prepare technical documentation, visualizations, and reports to communicate findings effectively to business and technology stakeholders. Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • 10+ years of hands-on experience in data science, AI, or ML engineering. • Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow). • Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling. • Experience with anomaly detection techniques — supervised, unsupervised, and hybrid approaches. • Experience in Generative AI based implementations. • Expertise in working with large datasets using SQL, Spark, or similar data-processing frameworks. • Strong problem-solving, analytical thinking, and communication skills. • Experience in deploying ML models into production environments, MLOps, preferably on AWS Thanks & Regards, Suchitra Gopi Delivery Manager Ph: 816-539-4279 E-Mail: suchitra@coretek.io