Posted today
Public Trust
Unspecified
Unspecified
IT - Data Science
Remote/Hybrid• (Off-Site/Hybrid)
Description:
We are seeking an innovative, hands-on development oriented, Senior/Principal data scientist with eight years' experience in Data Science and data modeling to develop prototypes of emerging technologies that solve business problems. This resource will join an energetic and versatile team responsible for addressing the customer challenges through the use of advancing technologies. This is a remote job that can be worked from any location in the continental U.S.
Location: Fully Remote
Pay rate: $70-$80hr
This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities:
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
• Develop end-to-end plans for AI/ML/NLP innovations that are compliant with cybersecurity policies.
• Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
• Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications.
• Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
• Make low risk plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices
• Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
• Conduct exploratory data analysis and generate actionable insights from large and complex datasets.
• Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
• Develop reusable code libraries and best practices for modernization and innovation development and deployment.
• Mentor more junior data scientists and guide the team in adopting new technologies and techniques.
• Stay current with advancements in data science, machine learning, and AI research.
• Support Agile product teams in emerging technologies and data strategies.
• Analyze data and usage to find patterns and solutions to business challenges.
Experience Requirements:
MA/MS degree and 8 years or more of experience in data science, data analytics, or data modeling.
• Experience with Machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google).
• Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum 8+ years of relevant experience in data science or analytics.
• Minimum 2+ years of relevant experience in machine learning or artificial intelligence.
• Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations
• Candidates must have lived in the United States continuously for the last 2 years
• Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment.
• Strong communication and teamwork abilities.
• Programming Languages: Python, R, SQL
• AI, ML, NLP Frameworks, models, and tools
• Machine Learning & Statistical Tools PyTorch
• Experience with Frontier models
• Experience with Databricks, Data Manipulation & Analysis
• Visualization Tools Tableau, Power BI
• Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP
• Version Control & Collaboration: Git, Docker
• Suitable combination of education, training, or experience maybe substituted for education.
OTHER DESIREABLE SKILLS
• Experience with ML Ops, model monitoring, and deployment pipelines.
• Experience with NLP, computer vision, or deep learning techniques.
• Experience with Agile and the Rally Agile management tool.
Education Requirements:
MA/MS degree and 8 years or more of experience in data science, data analytics, or data modeling.
We are seeking an innovative, hands-on development oriented, Senior/Principal data scientist with eight years' experience in Data Science and data modeling to develop prototypes of emerging technologies that solve business problems. This resource will join an energetic and versatile team responsible for addressing the customer challenges through the use of advancing technologies. This is a remote job that can be worked from any location in the continental U.S.
Location: Fully Remote
Pay rate: $70-$80hr
This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Responsibilities:
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
• Develop end-to-end plans for AI/ML/NLP innovations that are compliant with cybersecurity policies.
• Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
• Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications.
• Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
• Make low risk plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices
• Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
• Conduct exploratory data analysis and generate actionable insights from large and complex datasets.
• Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
• Develop reusable code libraries and best practices for modernization and innovation development and deployment.
• Mentor more junior data scientists and guide the team in adopting new technologies and techniques.
• Stay current with advancements in data science, machine learning, and AI research.
• Support Agile product teams in emerging technologies and data strategies.
• Analyze data and usage to find patterns and solutions to business challenges.
Experience Requirements:
MA/MS degree and 8 years or more of experience in data science, data analytics, or data modeling.
• Experience with Machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google).
• Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum 8+ years of relevant experience in data science or analytics.
• Minimum 2+ years of relevant experience in machine learning or artificial intelligence.
• Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations
• Candidates must have lived in the United States continuously for the last 2 years
• Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment.
• Strong communication and teamwork abilities.
• Programming Languages: Python, R, SQL
• AI, ML, NLP Frameworks, models, and tools
• Machine Learning & Statistical Tools PyTorch
• Experience with Frontier models
• Experience with Databricks, Data Manipulation & Analysis
• Visualization Tools Tableau, Power BI
• Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP
• Version Control & Collaboration: Git, Docker
• Suitable combination of education, training, or experience maybe substituted for education.
OTHER DESIREABLE SKILLS
• Experience with ML Ops, model monitoring, and deployment pipelines.
• Experience with NLP, computer vision, or deep learning techniques.
• Experience with Agile and the Rally Agile management tool.
Education Requirements:
MA/MS degree and 8 years or more of experience in data science, data analytics, or data modeling.
group id: 10106647
