Certus Recruitment Group
Overview
Our client is seeking a
Senior Data Scientist/ Optimization Software Engineer
to build and deploy optimization and forecasting models that power a trading and asset management platform. This includes linear, mixed-integer, nonlinear, and stochastic optimization for bidding, congestion management, and real-time model predictive control of battery storage under uncertainty, along with scalable back testing and simulation frameworks to evaluate and refine performance. You will work end-to-end, from developing models in Python to deploying them on cloud infrastructure, ensuring algorithms deliver real impact in fast-moving power markets Responsibilities
End-to-End Model Development
Take projects from research through production, building robust, scalable optimization and forecasting solutions. Optimization for Physical Systems
Apply linear, mixed-integer, nonlinear, and stochastic optimization techniques to real-time model predictive control of systems such as battery storage (BESS), robotics, and industrial machinery. Deployment & Productionization
Develop in Python and deploy on cloud infrastructure, ensuring performance and reliability in fast-moving, real-world environments. Simulation & Back testing
Build frameworks to evaluate and refine algorithmic performance at scale. Cross-Team Collaboration
Partner with trading, data science, and software engineering teams to ensure solutions deliver measurable impact. Requirements
Applied Optimization Expertise
Hands-on experience with tools such as MILP, CVXPY, or equivalent for real-time model predictive control of physical systems. Full-Stack Software Experience
Strong Python skills with familiarity across the broader data and software ecosystem (Pandas, NumPy, CI/CD, cloud deployment). Commercial Focus
Proven applied experience in a commercial or industrial context, with preference over purely academic backgrounds. Software Development Practices
Solid grounding in version control, testing, and managing dev/test/production workflows. Location Requirement
Based in Austin, TX. Remote candidates will be considered for Hybrid role. Rewards
Generous PTO Comprehensive medical, dental, and vision coverage Flexible hybrid working (3 days WFH per week) Company
Certus Recruitment Group
is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across North America, the UK, Europe, and Australia. Apply
If you are ready to take your career to the next level and make a significant impact, apply now! #J-18808-Ljbffr
Our client is seeking a
Senior Data Scientist/ Optimization Software Engineer
to build and deploy optimization and forecasting models that power a trading and asset management platform. This includes linear, mixed-integer, nonlinear, and stochastic optimization for bidding, congestion management, and real-time model predictive control of battery storage under uncertainty, along with scalable back testing and simulation frameworks to evaluate and refine performance. You will work end-to-end, from developing models in Python to deploying them on cloud infrastructure, ensuring algorithms deliver real impact in fast-moving power markets Responsibilities
End-to-End Model Development
Take projects from research through production, building robust, scalable optimization and forecasting solutions. Optimization for Physical Systems
Apply linear, mixed-integer, nonlinear, and stochastic optimization techniques to real-time model predictive control of systems such as battery storage (BESS), robotics, and industrial machinery. Deployment & Productionization
Develop in Python and deploy on cloud infrastructure, ensuring performance and reliability in fast-moving, real-world environments. Simulation & Back testing
Build frameworks to evaluate and refine algorithmic performance at scale. Cross-Team Collaboration
Partner with trading, data science, and software engineering teams to ensure solutions deliver measurable impact. Requirements
Applied Optimization Expertise
Hands-on experience with tools such as MILP, CVXPY, or equivalent for real-time model predictive control of physical systems. Full-Stack Software Experience
Strong Python skills with familiarity across the broader data and software ecosystem (Pandas, NumPy, CI/CD, cloud deployment). Commercial Focus
Proven applied experience in a commercial or industrial context, with preference over purely academic backgrounds. Software Development Practices
Solid grounding in version control, testing, and managing dev/test/production workflows. Location Requirement
Based in Austin, TX. Remote candidates will be considered for Hybrid role. Rewards
Generous PTO Comprehensive medical, dental, and vision coverage Flexible hybrid working (3 days WFH per week) Company
Certus Recruitment Group
is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across North America, the UK, Europe, and Australia. Apply
If you are ready to take your career to the next level and make a significant impact, apply now! #J-18808-Ljbffr