SoTalent
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Base pay range
$95,700.00/yr - $170,925.00/yr Our client is looking for a Senior Full Stack Data Scientist to develop end-to-end solutions that power intelligent decision-making across the organization. You’ll take ownership of the entire model lifecycle—from sourcing and transforming data to deploying and maintaining real-time inference systems in the cloud. In this role, you'll collaborate across functions to establish best practices, drive performance at scale, and contribute to cloud-native architecture that’s secure, reliable, and future-ready. This is an opportunity to apply your data science and engineering skills in a high-impact environment where your work directly influences business outcomes. What You’ll Be Doing Lead the design and development of machine learning models that solve real-world business problems. Build, deploy, and maintain predictive systems in cloud environments, ensuring performance, security, and reliability. Create scalable data pipelines and integrate machine learning workflows into production systems. Use infrastructure-as-code tools to manage cloud resources and maintain reproducibility. Mentor junior team members and support knowledge sharing across the department. Partner with product, engineering, and data teams to align solutions with business objectives. Establish standards for observability, monitoring, and ongoing performance evaluation of deployed models. Stay current with advancements in ML and cloud infrastructure, and introduce new tools or methods that enhance team capabilities. Present insights and technical findings to stakeholders in a clear and actionable way. Your Background Required Skills: Proven track record in designing and implementing machine learning systems in a cloud-native environment. Strong programming skills in Python (including libraries like scikit-learn, TensorFlow, or PyTorch); SQL and R also beneficial. Experience with cloud platforms (e.g., AWS, Azure, or GCP), especially with model deployment and data engineering services. Hands-on knowledge of Infrastructure as Code tools (such as Terraform or CloudFormation). Familiarity with CI/CD practices, containerization (Docker), and application monitoring solutions. Ability to analyze large datasets and extract meaningful insights to guide business strategies. Preferred Qualifications: Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field. 3+ years of experience in data science, applied ML, or cloud-based engineering roles. Background in predictive analytics, statistical modeling, or AI systems design. What We Offer A high-impact position where your work shapes key business outcomes. Exposure to cutting-edge tools and technologies across cloud, data science, and software engineering. A collaborative environment that values innovation, learning, and growth. Competitive compensation based on skills and experience. Additional Information A background check will be required prior to employment. This position does
not offer visa sponsorship . Please note:
This job posting is just a preview of the full scope of the position. A comprehensive job description is shared by a member of our team. IsExpired
indicates whether the role is closed; there is no indication in this posting that the role is closed.
#J-18808-Ljbffr
$95,700.00/yr - $170,925.00/yr Our client is looking for a Senior Full Stack Data Scientist to develop end-to-end solutions that power intelligent decision-making across the organization. You’ll take ownership of the entire model lifecycle—from sourcing and transforming data to deploying and maintaining real-time inference systems in the cloud. In this role, you'll collaborate across functions to establish best practices, drive performance at scale, and contribute to cloud-native architecture that’s secure, reliable, and future-ready. This is an opportunity to apply your data science and engineering skills in a high-impact environment where your work directly influences business outcomes. What You’ll Be Doing Lead the design and development of machine learning models that solve real-world business problems. Build, deploy, and maintain predictive systems in cloud environments, ensuring performance, security, and reliability. Create scalable data pipelines and integrate machine learning workflows into production systems. Use infrastructure-as-code tools to manage cloud resources and maintain reproducibility. Mentor junior team members and support knowledge sharing across the department. Partner with product, engineering, and data teams to align solutions with business objectives. Establish standards for observability, monitoring, and ongoing performance evaluation of deployed models. Stay current with advancements in ML and cloud infrastructure, and introduce new tools or methods that enhance team capabilities. Present insights and technical findings to stakeholders in a clear and actionable way. Your Background Required Skills: Proven track record in designing and implementing machine learning systems in a cloud-native environment. Strong programming skills in Python (including libraries like scikit-learn, TensorFlow, or PyTorch); SQL and R also beneficial. Experience with cloud platforms (e.g., AWS, Azure, or GCP), especially with model deployment and data engineering services. Hands-on knowledge of Infrastructure as Code tools (such as Terraform or CloudFormation). Familiarity with CI/CD practices, containerization (Docker), and application monitoring solutions. Ability to analyze large datasets and extract meaningful insights to guide business strategies. Preferred Qualifications: Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field. 3+ years of experience in data science, applied ML, or cloud-based engineering roles. Background in predictive analytics, statistical modeling, or AI systems design. What We Offer A high-impact position where your work shapes key business outcomes. Exposure to cutting-edge tools and technologies across cloud, data science, and software engineering. A collaborative environment that values innovation, learning, and growth. Competitive compensation based on skills and experience. Additional Information A background check will be required prior to employment. This position does
not offer visa sponsorship . Please note:
This job posting is just a preview of the full scope of the position. A comprehensive job description is shared by a member of our team. IsExpired
indicates whether the role is closed; there is no indication in this posting that the role is closed.
#J-18808-Ljbffr