Data Scientist / Data Scientist, Senior
APSAbout the role
Our present and future success depends on the creative and dedicated people of our company who demonstrate the principles outlined in the APS Promise: Design for Tomorrow, Empower Each Other and Succeed Together.
Summary
Data Scientist / Data Scientist, Senior
Are you a Data Scientist / Data Scientist, Senior ready to make a big impact at scale? We're looking for a highly skilled Data Scientist / Data Scientist, Senior to lead the design and deployment of production-grade machinelearning systems in a complex enterprise environment. You’ll own the full MLOps lifecycle—from prototyping tomonitoring—and architect solutions that power intelligent, real-time decision-making across critical businessfunctions.
This is a high-visibility role where you’ll collaborate with cross-functional teams, influence architecture, and helpdefine best practices that shape the future of ML at scale.
What You’ll Do:
- Lead MLOps Initiatives: Design, build, deploy, and monitor end-to-end ML solutions that are scalable,reliable, and secure.
- Architect for Scale & Speed: Build applications optimized for low latency on high-volume data pipelinesand streaming environments.
- Advise & Innovate: Act as a thought partner to data scientists and engineering leaders, bringing deepdomain expertise in ML model design and infrastructure.
- Collaborate Cross-Functionally: Work with enterprise architects, product teams, and data scientists todeliver real-world business value.
- Own Quality & Governance: Establish and maintain best practices for ML lifecycle management, includingCI/CD, monitoring, testing, and documentation.
You’ll Be a Great Fit If You Have:
- Held a Machine Learning Engineer or MLOps role in a large-scale enterprise environment.
- Deep experience with modern ML models, cloud-native data platforms, and orchestration tools (e.g.,Kubeflow, SageMaker, MLflow).
- Proven ability todesign scalable ML architecturesfor streaming and batch use cases.
- A mindset formentorship and technical leadership, with the ability to guide teams on best practices inproduction ML.
Sponsorship for U.S. work authorization is not available for this position, now or in the future.
Minimum Requirements
Data Scientist
- BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field
- PLUS minimum four(4) years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role
- OR advanced degree and two (2) years directly related experience.
- Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities.
Data Scientist, Senior
- BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field
- PLUS minimum six (6) years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role
- OR advanced degree and four (4) years directly related experience.
- Possesses a combination of strong analytical and problem-solving skills and programming knowledge, or an equivalent combination of education and experience with demonstrated comparable knowledge and abilities.
Preferred Special Skills, Knowledge or Qualifications: - Masters or Doctorate degrees in related fields.
- Knowledge/experience in utility industry and business functions.
- Certification in Data Science and/or predictive analytics
- A high level of proficiency in commonly used programming languages and tools like R Programming, Python and SQL.
- Strong communication, presentation and writing skills.
- Must be able to lead teams in evaluations and implementation of solutions.
- Must be able to work with key internal and external stakeholders and all levels of management.
Major Accountabilities
1) Collaboration with customers and partners:
- Consult with stakeholders and subject matter experts to understand business needs and operations, goals and objectives and key drivers for performance.
- Work closely with the business units to complete data analytics efforts. Build and maintain strong working relation
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