Today
Secret
Unspecified
Unspecified
IT - Data Science
Remote/Hybrid• (Off-Site/Hybrid)
Description:
We're seeking an innovative, hands-on Principal Data Scientist with deep experience in AI/ML, NLP, and cloud-native development to help design and deliver emerging technology solutions that drive real business impact. This is a remote position (U.S. only) with an opportunity to join a forward-thinking team dedicated to modernizing products and integrating cutting-edge data solutions across the enterprise.
Location: Remote
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:
Responsibilities:
Lead innovation lab efforts focused on cloud-native product modernization and emerging technologies
Design and build AI/ML/NLP prototypes and proof-of-concept solutions that address complex business challenges
Ensure compliance with cybersecurity standards and implement best practices for transparency, traceability, and data governance
Develop and operationalize predictive models, ML algorithms, and statistical analyses
Present data-driven insights, recommendations, and demonstrations to executive and technical stakeholders
Collaborate with cross-functional teams to translate business needs into scalable, data-driven solutions
Mentor junior data scientists and promote adoption of new tools and techniques
Stay current on advancements in AI research, machine learning, and cloud architecture
Experience Requirements:
Minimum 9+ years of experience in data science, AI/ML/NLP, and data-driven solution delivery
Strong experience with cloud environments (AWS, Azure, or GCP)
Proficiency in Python, R, and SQL, along with frameworks such as PyTorch, TensorFlow, and Databricks
Familiarity with Terraform, GitLab Pipelines, Docker, and DevSecOps automation
Experience with data visualization tools (Tableau, Power BI)
Strong communication skills and ability to collaborate across teams
Education Requirements:
Master's degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
We're seeking an innovative, hands-on Principal Data Scientist with deep experience in AI/ML, NLP, and cloud-native development to help design and deliver emerging technology solutions that drive real business impact. This is a remote position (U.S. only) with an opportunity to join a forward-thinking team dedicated to modernizing products and integrating cutting-edge data solutions across the enterprise.
Location: Remote
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:
Responsibilities:
Lead innovation lab efforts focused on cloud-native product modernization and emerging technologies
Design and build AI/ML/NLP prototypes and proof-of-concept solutions that address complex business challenges
Ensure compliance with cybersecurity standards and implement best practices for transparency, traceability, and data governance
Develop and operationalize predictive models, ML algorithms, and statistical analyses
Present data-driven insights, recommendations, and demonstrations to executive and technical stakeholders
Collaborate with cross-functional teams to translate business needs into scalable, data-driven solutions
Mentor junior data scientists and promote adoption of new tools and techniques
Stay current on advancements in AI research, machine learning, and cloud architecture
Experience Requirements:
Minimum 9+ years of experience in data science, AI/ML/NLP, and data-driven solution delivery
Strong experience with cloud environments (AWS, Azure, or GCP)
Proficiency in Python, R, and SQL, along with frameworks such as PyTorch, TensorFlow, and Databricks
Familiarity with Terraform, GitLab Pipelines, Docker, and DevSecOps automation
Experience with data visualization tools (Tableau, Power BI)
Strong communication skills and ability to collaborate across teams
Education Requirements:
Master's degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
group id: 10106647
