

Wise Skulls
AI/ML Data Scientist
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 2, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Phoenix, AZ
-
π§ - 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 Weβre 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’ Bachelorβs or Masterβs 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
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 Weβre 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’ Bachelorβs or Masterβs 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






