Design and develop predictive models and data-driven analyses to address business challenges. Deploy complex analytics tools or multi-system integration, while……
Establish AI engineering standards and reusable patterns; mentor other engineers and lead AI architecture reviews; work closely with L&D to develop employee AI……
Communicate clearly with both technical and non-technical stakeholders. Build AI agents using Microsoft Copilot Studio or the Semantic Kernel Agent Framework.…
This role designs, builds, and deploys AI- and data-driven solutions that improve engineering productivity, accelerate model and simulation workflows, enhance……
The Senior Vision Software Engineer will actively communicate with project stakeholders and the Director of Vision to monitor/ improve production code……
You'll collaborate with world-class talent across data science, engineering, product, and healthcare domains, backed by the reach and stability of Optum and……
Bachelor's or Master's degree in Computer Science, Engineering, Math, or a related field (or equivalent experience). Strong programming skills in Python.…
Ability to communicate complex technical concepts to non-technical stakeholders. Provide technical guidance to Product Management on data science capabilities……
Communicate insights and technical decisions clearly to both technical and non‑technical stakeholders. *Education:* Bachelor's degree in Computer Science,……
May vary based on technical training, certification(s), or degree. May develop processes and machine learning based tools to monitor and analyze model……
Experience designing agents that interact with external tools, APIs, databases, knowledge bases, or enterprise systems. 10 + years of related experience.…
Experience designing agents that interact with external tools, APIs, databases, knowledge bases, or enterprise systems. 10 + years of related experience.…
Experience using modern AI-assisted software development tools and coding agents within professional engineering workflows. Active TS/SCI with Polygraph.…
Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm……
Proficiency with Python, R, SQL, or similar analytical tools, with the ability to develop notebooks, scripts, queries, and reusable analysis artifacts.…
You will also design feature engineering and data pipelines, establish feedback loops for continuous improvement, and collaborate with cross-functional teams……
Take on exciting and difficult challenges in conversational agent domains, such as agent cognitive architecture iteration, multimodal agents, multilingual……
Ability to communicate technical concepts clearly to both technical and non-technical. Collaborate with team members to develop and deploy machine learning……
All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.…
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2……
Expert knowledge of AI-native engineering practices, including agentic system design, LLM integration, multi-agent orchestration, and context engineering.…
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Model evaluation frameworks and LLM observability……
Bachelor’s degree _preferred_, Associate degree _required _– educational focus in computer science, artificial intelligence, or a related technical field.…
Design, execute, and analyze online and offline experiments, including A/B testing, causal inference, and counterfactual analysis, to evaluate the impact of……
Bachelor's degree in Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Software Engineering, or a related technical field.…
They are comfortable working across backend engineering, data engineering, analytics, and AI systems, and are excited about building intelligent products that……
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. You’ll participate in the detailed technical design,……
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In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:
Develop data preparation tasks, while identifying patterns or anomalies.
Ensure data readiness for advanced modeling.
Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
Design and develop predictive models and data-driven analyses to address business challenges.
Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
Proactively maintain models and implement improvements for accuracy and reliability.
Apply governance controls to mitigate risks and ensure compliance.
Analyze performance trends, recommend improvements, and document discrepancies for escalation.
Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
Apply the predefined quality measurement framework at an individual task level in the project.
Deploy complex analytics tools or multi-system integration, while validating deployment success.
Participate in developing scripts or templates for repeated deployments tasks.
Contribute to analytic solutions, IP asset creation, and training initiatives.
Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
Participate in and deliver analytics training, while contributing to content creation.
Provide input for segment and unit-level business plans.
Your contribution to the team:
Deliver scalable, high-quality analytics solutions aligned to business needs.
A knack for optimization, deployment and performance improvement of models.
The ability to drive innovation through advanced analytics, automation and thought leadership.
Enable team growth through knowledge sharing, training and standardization.
Support business planning with data-driven insights.