Job Search Results for machine learning
Oct 09, 2025
San Jose, CA
|
Software Engineering
|
Perm
|
$200k - $350k (estimate)
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Insight Global is seeking a team of experienced, driven Machine Learning Engineer to join an established health technology company sitting in San Jose, CA. This is a full-time, permanent role with... competitive salary, bonus, and comprehensive benefits.In this role you'll need: Deep Learning Frameworks: Hands-on experience with PyTorch (main focus) and familiarity with TensorFlow.Large-Scale Model Training: Exposure to advanced training techniques like Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), ZeRO, and model parallelism (pipeline/tensor). Experience with distributed training is a strong plus.Model Optimization: Skilled in improving model performance through techniques like quantization (PTQ, QAT, AWQ, GPTQ), pruning, knowledge distillation, KV-cache tuning, and using efficient attention mechanisms like Flash Attention.Scalable Model Serving: Understanding of how to deploy models at scale, including autoscaling, load balancing, streaming, batching, and caching. Comfortable working alongside platform engineers to build robust serving pipelines.Data & Storage Systems: Proficient with both SQL and NoSQL databases, vector databases (e.g., FAISS, Milvus, Pinecone, pgvector), and data formats like Parquet and Delta. Familiar with object storage systems.Code Quality: Writes efficient, clean, and maintainable code with a focus on performance.End-to-End ML Lifecycle: Solid grasp of the full machine learning workflow?from data collection and model training to deployment, inference, optimization, and evaluation.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Jul 21, 2025
Concord, NC
|
Managerial / Professional
|
Perm
|
$100k - $150k (estimate)
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Responsibilities: Coordinate with 1st shift management to review production goals, part counts, and any shift-to-shift issues. Supervise a team of 56 CNC operators and programmers, ensuring smooth... and efficient operations. Oversee machine loading/unloading and basic maintenancemachines are largely self-sufficient, similar to automated systems. Monitor machine performance and make recommendations for maintenance or improvements. Ensure production targets and quality standards are met.Support team members with troubleshooting and problem-solving on the floor.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Oct 13, 2025
Smyrna, GA
|
Software Engineering
|
Contract-to-perm
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$48 - $60 (hourly estimate)
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Job Description:Insight Global is looking for a Software Engineer who is focused on AI and machine learning to join an enterprise client as part of an initiative to incorporate more automation and... machine learning into their environment. The candidate will design and implement advanced AI solutions, leveraging Google Cloud Platform (GCP) and Vertex AI Studio to build Gemini agentic models. The position requires strong software engineering expertise combined with deep experience in machine learning and algorithm development. Responsibilities?Develop and deploy AI models using Vertex AI Studio on Google Cloud Platform (GCP), including Gemini agentic models.?Integrate AI-driven solutions into existing applications by building Java and Spring Boot services for API endpoints.?Design and implement machine learning algorithms to solve complex business problems in supply chain operations.?Collaborate with cross-functional teams to ensure seamless integration of AI models into production environments.?Optimize and maintain AI workflows, ensuring scalability, reliability, and performance.?Provide technical leadership and mentorship for AI initiatives within the IT Supply Chain organization.Pay rate is projected to be within: 58-65/hr. determined by the hiring team during the interview process.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Aug 06, 2025
Grapevine, TX
|
Project Manager
|
Contract
|
$53 - $66 (hourly estimate)
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Insight Global is looking for an AI/Computer Vision Product Manager for a global retailer. This is a zero-to-one new product starting to explore. The ideal candidates have experience building and... launching new AI/ML products. This project is more technical on computer vision and machine learning in nature. Candidates should have experience with machine learning models with some proven outcomes delivering on those types of products (less interested in large language model/ChatGPT/chat bot types of products).We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Oct 15, 2025
Oakland, CA
|
Data Warehousing
|
Contract
|
$64 - $80 (hourly estimate)
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These models provide a multi-layered view of risk and risk reduction across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.Sample activities include:?Quantification of wildfire mitigation program performance on the distribution and transmission electric system.?Development of causal inference models using Python\\PySpark and executed in Foundry or AWS.?Interpretation and representation of meteorological data in models that combine a range of data sources such as the electric system asset data, vegetation, and meteorology.Position SummaryDesigns, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions. Job Responsibilities?Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.?Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets?Extracts, transforms, and loads data from dissimilar sources from across PG\u0026E for their machine learning feature engineering?Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. ?Wrangles and prepares data as input of machine learning model development and feature engineering ?Architects, develops, and documents reusable functions and modular code for data science.?Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.?Works with stakeholder departments and company subject matter experts to understand application and potential of data science solutions that create value.?Presents findings and makes recommendations to senior management.?Act as peer reviewer of complex modelsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Specialist II","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor?s Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.?Experience in Data Science, 6 years or no experience, if possess Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.Desired:?Doctorate Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.?Expertise in experimental design and causal inference methods.?Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic risk assessment.?Relevant industry experience (electric or gas utility, data science consulting, etc.)?Familiarity with the use of supervised, unsupervised, deep learning \u0026 physics-based methods for modeling electrical infrastructure failure modes.?Active participation in the external data science/risk assessment/utility community of practice, as demonstrated through volunteering in professional organizations for the advancement of the field, presentations in conferences or publications to disseminate data science knowledge and topics, or similar activities.?Competency with data science standards and processes (model evaluation, optimization, feature engineering, etc) along with best practices to implement them?Knowledge of industry trends and current issues in job-related area of responsibility as demonstrated through peer reviewed journal publications, conference presentations, open source contributions or similar activities ?Competency with Agile product development best practices. ?Proficiency with Python or Pyspark, code reviews, and code development best practices.?Proficiency in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.?Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":80.0000,"SalaryLow":64.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
The aim of the Wildfire Data Science team in the Wildfire Risk Management organization is to enhance the risk practices of the Electric Operation business and thereby address changing external... conditions such as climate change. To this end the Wildfire Data Science team develops and maintains predictive models to enable and close the gap between metrics and electric system performance. These models provide a multi-layered view of risk and risk reduction across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.Sample activities include:?Quantification of wildfire mitigation program performance on the distribution and transmission electric system.?Development of causal inference models using Python\PySpark and executed in Foundry or AWS.?Interpretation and representation of meteorological data in models that combine a range of data sources such as the electric system asset data, vegetation, and meteorology.Position SummaryDesigns, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions. Job Responsibilities?Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.?Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets?Extracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering?Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. ?Wrangles and prepares data as input of machine learning model development and feature engineering ?Architects, develops, and documents reusable functions and modular code for data science.?Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.?Works with stakeholder departments and company subject matter experts to understand application and potential of data science solutions that create value.?Presents findings and makes recommendations to senior management.?Act as peer reviewer of complex modelsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Sep 30, 2025
Santa Clara, CA
|
Engineering (Non IT)
|
Perm
|
$225k - $300k (estimate)
{"JobID":450215,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-121.96,"Longitude":37.39,"Distance":null},"State":"California","Zip":"95054","ReferenceID":"SJC-bbbfd344-5ffe-46ac-b67a-7ca934ac8f88","PostedDate":"\/Date(1759254324000)\/","Description":"The Data Scientist will join the Machine Learning team to support a wide range of data-driven initiatives across networking, security, and language-related use cases. This role involves working with cross-functional teams to uncover insights, solve complex problems, and deploy scalable machine learning solutions.? Conduct exploratory data analysis (EDA) and use visualization techniques to communicate insights.? Ingest, clean, preprocess, and transform data for modeling; handle missing values, outliers, and inconsistencies.? Label datasets for classification tasks and prepare data pipelines.? Build, train, and evaluate machine learning models including CNNs, XGBoost, Transformers, Graph ML, Time Series models, and LLMs.? Collaborate with engineering teams to deploy models using formats such as ONNX and GGUF; apply model quantization and evaluation techniques.? Solve complex data challenges using critical thinking and analytical skills.? Work closely with data engineers, analysts, and domain experts to translate business needs into actionable insights.Salary Range - $225,000-$300,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Scientist","City":"Santa Clara","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? Master?s degree in Computer Science or Engineering.? 8+ years of experience in data science or a related field.? Strong proficiency in Python.? Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).? Solid understanding of machine learning algorithms and techniques.? Familiarity with deep learning frameworks such as TensorFlow or PyTorch.? Experience with NLP and large language models (LLMs) is a plus.Strong problem-solving and communication skills.","Skills":"? Experience with Go programming language.? Familiarity with acceleration frameworks such as RAPIDS or Spark.? Knowledge of cloud platforms (AWS, GCP, Azure).Experience with data version control and MLOps practices.","Industry":"Engineering (Non IT)","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":300000.0000,"SalaryLow":225000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
The Data Scientist will join the Machine Learning team to support a wide range of data-driven initiatives across networking, security, and language-related use cases. This role involves working with... cross-functional teams to uncover insights, solve complex problems, and deploy scalable machine learning solutions.? Conduct exploratory data analysis (EDA) and use visualization techniques to communicate insights.? Ingest, clean, preprocess, and transform data for modeling; handle missing values, outliers, and inconsistencies.? Label datasets for classification tasks and prepare data pipelines.? Build, train, and evaluate machine learning models including CNNs, XGBoost, Transformers, Graph ML, Time Series models, and LLMs.? Collaborate with engineering teams to deploy models using formats such as ONNX and GGUF; apply model quantization and evaluation techniques.? Solve complex data challenges using critical thinking and analytical skills.? Work closely with data engineers, analysts, and domain experts to translate business needs into actionable insights.Salary Range - $225,000-$300,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Sep 22, 2025
Oakland, CA
|
Data Warehousing
|
Contract
|
$64 - $80 (hourly estimate)
{"JobID":446977,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.27,"Longitude":37.8,"Distance":null},"State":"California","Zip":"94612","ReferenceID":"SFR-d8277bc9-7092-4806-88e8-cb6c8c326a77","PostedDate":"\/Date(1758556528000)\/","Description":"The aim of the Wildfire Data Science team in the Wildfire Risk Management organization is to enhance the risk practices of the Electric Operation business and thereby address changing external conditions such as climate change. To this end the Wildfire Data Science team develops and maintains predictive models to enable and close the gap between metrics and electric system performance. These models provide a multi-layered view of risk and risk reduction across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.Sample activities include:?Quantification of wildfire mitigation program performance on the distribution and transmission electric system.?Development of causal inference models using Python\\PySpark and executed in Foundry or AWS.?Interpretation and representation of meteorological data in models that combine a range of data sources such as the electric system asset data, vegetation, and meteorology.Position SummaryDesigns, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions. Job Responsibilities?Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.?Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets?Extracts, transforms, and loads data from dissimilar sources from across PG\u0026E for their machine learning feature engineering?Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. ?Wrangles and prepares data as input of machine learning model development and feature engineering ?Architects, develops, and documents reusable functions and modular code for data science.?Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.?Works with stakeholder departments and company subject matter experts to understand application and potential of data science solutions that create value.?Presents findings and makes recommendations to senior management.?Act as peer reviewer of complex modelsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Specialist II","City":"Oakland","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Bachelor?s Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.?Experience in Data Science, 6 years or no experience, if possess Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.Desired:?Doctorate Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field.?Expertise in experimental design and causal inference methods.?Expertise in statistical methods for time series analysis, statistical modeling, and probabilistic risk assessment.?Relevant industry experience (electric or gas utility, data science consulting, etc.)?Familiarity with the use of supervised, unsupervised, deep learning \u0026 physics-based methods for modeling electrical infrastructure failure modes.?Active participation in the external data science/risk assessment/utility community of practice, as demonstrated through volunteering in professional organizations for the advancement of the field, presentations in conferences or publications to disseminate data science knowledge and topics, or similar activities.?Competency with data science standards and processes (model evaluation, optimization, feature engineering, etc) along with best practices to implement them?Knowledge of industry trends and current issues in job-related area of responsibility as demonstrated through peer reviewed journal publications, conference presentations, open source contributions or similar activities ?Competency with Agile product development best practices. ?Proficiency with Python or Pyspark, code reviews, and code development best practices.?Proficiency in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.?Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders","Skills":"","Industry":"Data Warehousing","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":80.0000,"SalaryLow":64.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}
The aim of the Wildfire Data Science team in the Wildfire Risk Management organization is to enhance the risk practices of the Electric Operation business and thereby address changing external... conditions such as climate change. To this end the Wildfire Data Science team develops and maintains predictive models to enable and close the gap between metrics and electric system performance. These models provide a multi-layered view of risk and risk reduction across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.Sample activities include:?Quantification of wildfire mitigation program performance on the distribution and transmission electric system.?Development of causal inference models using Python\PySpark and executed in Foundry or AWS.?Interpretation and representation of meteorological data in models that combine a range of data sources such as the electric system asset data, vegetation, and meteorology.Position SummaryDesigns, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions. Job Responsibilities?Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.?Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets?Extracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering?Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. ?Wrangles and prepares data as input of machine learning model development and feature engineering ?Architects, develops, and documents reusable functions and modular code for data science.?Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.?Works with stakeholder departments and company subject matter experts to understand application and potential of data science solutions that create value.?Presents findings and makes recommendations to senior management.?Act as peer reviewer of complex modelsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Oct 09, 2025
San Ramon, CA
|
Database Administrator (DBA)
|
Contract
|
$70 - $88 (hourly estimate)
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Insight Global Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. You will be dedicated to leveraging... data-driven insights to drive business growth and enhance customer experiences for one of our large utility clients in California. Key Responsibilities:?Data Analysis & Modeling: Utilize Python and R to analyze complex datasets, develop predictive models, and generate actionable insights.?Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance.?Machine Learning: Design, implement, and evaluate machine learning algorithms to solve business problems.?Data Visualization: Create compelling visualizations to communicate findings to stakeholders using tools like Matplotlib, ggplot2, and other visualization libraries.?Collaboration: Work closely with cross-functional teams including data engineers, product managers, and business analysts to understand requirements and deliver solutions.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Oct 14, 2025
Arlington, VA
|
Software Engineering
|
Contract
|
$54 - $68 (hourly estimate)
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IG is looking for ML Developers to support a federal client. Description: Analyze and interpret complex datasets to identify trends, patterns, and actionable insights that drive business decisions.... Develop and implement machine learning models, statistical algorithms, and data-driven solutions to solve real-world problems. Collaborate with cross-functional teams to understand business objectives and translate them into data analysis tasks. Communicate findings effectively through visualizations, reports, and presentations to both technical and non-technical stakeholdersWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Oct 03, 2025
North York, ON
|
Data Warehousing
|
Contract
|
$46 - $58 (hourly estimate)
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We are seeking a skilled Data Science Consultant for a two-month engagement to build a classification and scoring model in Dataiku, aimed at categorizing free-text medical insight records into... quality tiers. The ideal candidate will bring strong expertise in NLP, machine learning, and model deployment, with hands-on experience in Python or R within Dataiku. This role requires someone who can provide strategic guidance, work independently, and deliver impactful results quickly.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.