Wise Skulls

AI/ML Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Data Scientist in Phoenix, AZ, for 6 months onsite, with a pay rate of "unknown." Required skills include 6+ years in Data Science, proficiency in Python and SQL, and expertise in anomaly detection and causal reasoning.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 2, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#PyTorch #Cloud #AI (Artificial Intelligence) #Agile #ML (Machine Learning) #Data Science #Data Manipulation #Mathematics #Computer Science #SQL (Structured Query Language) #Python #Deep Learning #Statistics #TensorFlow #Data Processing #Anomaly Detection #Scala #Forecasting #Datasets #R #Time Series #Pandas #DevOps #NumPy #"ETL (Extract #Transform #Load)" #Data Pipeline #Observability
Role description
Hiring: AI/ML Data Scientist | Phoenix, AZ | 100% Onsite We're looking for an experienced AI/ML Data Scientist with strong expertise in machine learning, anomaly detection, causal reasoning, time series modeling, and Generative AI to join a high-performing team focused on advancing enterprise AIOps solutions . Location: Phoenix, AZ (100% Onsit e)Duration: 6 Months (Possibility of Extensio n)Work Authorization: USC and GC On ly Key Responsibilities & Skil ls: β€’ Design and implement scalable machine learning models for AIOps use cases, including anomaly detection and root cause analy sis β€’ Develop and optimize advanced anomaly detection algorithms for infrastructure, application, and operational telemetry d ata β€’ Apply causal reasoning and causal inference frameworks to identify drivers of incidents and operational disrupti ons β€’ Build and deploy time series forecasting and modeling solutions to predict performance degradation and system failu res β€’ Develop robust data pipelines and analytical workflows using Python and SQL β€’ Integrate Generative AI (GenAI) techniques for intelligent summarization, incident triage, knowledge extraction, and automat ion β€’ Collaborate with engineering, DevOps, and platform teams to operationalize ML models in production environme nts β€’ Drive continuous improvement of model performance, scalability, and reliabil ity β€’ Mentor junior data scientists and contribute to MLOps best practices and model governance initiati ves β€’ Analyze large-scale structured and time series datasets to deliver actionable operational intellige nce Mandatory Ski lls: β€’ 6+ years of experience in Data Science or Applied Machine Learning r oles β€’ Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, or similar framewo rks) β€’ Advanced SQL skills for data manipulation, querying, and anal ysis β€’ Hands-on experience with anomaly detection techniques (statistical, machine learning, and deep learning-ba sed) β€’ Strong expertise in causal inference and causal reasoning methodolo gies β€’ Experience working with large-scale structured and time series data sets β€’ Strong knowledge of time series forecasting and modeling techniques (ARIMA, Prophet, LSTM, State-Space Models, e tc.) β€’ Experience deploying machine learning models into production environm ents β€’ Strong analytical, problem-solving, communication, and stakeholder management sk ills What We’re Looking For:A highly skilled AI/ML Data Scientist who can lead the development of intelligent AIOps solutions by leveraging machine learning, causal reasoning, time series analytics, and Generative AI technologies. The ideal candidate will have a proven track record of building scalable production-grade ML solutions and driving operational intelligence initiatives across enterprise environm ents. Preferred Qualifica tions: β€’ Experience with AIOps platforms, IT Operations analytics, or observability sol utions β€’ Exposure to GenAI and LLM-based solutions for operational intelligence and auto mation β€’ Experience with MLOps frameworks, model governance, and production moni toring β€’ Familiarity with cloud-based machine learning platforms and distributed data processing fram eworks β€’ Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field β€’ Experience working in Agile and cross-functional enterprise enviro nments Interested? Apply now or DM us to explore this oppo rtunity!You can share resumes at sanskar@wiseskulls.com OR Call us on +1 (302) 292-9192