Sr. Data Scientist / AI-ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist / AI-ML Engineer in Westerville, OH, for a 2-month contract at a pay rate of "TBD." Requires 10+ years in data science, strong Python/R proficiency, and experience in anomaly detection and MLOps.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 11, 2025
🕒 - Project duration
1 to 3 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Westerville, OH
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🧠 - Skills detailed
#Pandas #Python #Monitoring #Documentation #Visualization #Mathematics #Computer Science #NumPy #Classification #TensorFlow #ML (Machine Learning) #Spark (Apache Spark) #Data Science #R #Anomaly Detection #PyTorch #AI (Artificial Intelligence) #Scala #SQL (Structured Query Language) #Datasets #Data Analysis #Clustering #Regression #Statistics #AWS (Amazon Web Services) #Libraries
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TekLeaders, Inc, is seeking the following. Apply via Dice today!
Title: Sr. Data Scientist / AI-ML Engineer
Location: Westerville, OH (preferably local candidates)
Duration: 2 months contract position
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
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TekLeaders, Inc, is seeking the following. Apply via Dice today!
Title: Sr. Data Scientist / AI-ML Engineer
Location: Westerville, OH (preferably local candidates)
Duration: 2 months contract position
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
