Senior Data Scientist – Forecasting Lead (Energy Trading)

Job Description

Job Ttitle: Senior Data Scientist – Forecasting Lead (Energy Trading)

Company: Certus Recruitment


Description: Senior Data Scientist – Forecasting Lead (Energy Trading)
Austin, TX | Hybrid (2+ days onsite) | Permanent
Energy Markets | Stochastic Forecasting | Team Leadership
Competitive Salary + Excellent BenefitsAt Certus Recruitment, we’re hiring for a key client in the Austin energy market — a high-growth company at the intersection of advanced modelling and real-time trading strategy.They don’t just build models. They shape markets. And they’re looking for a Senior Data Scientist to lead the charge in probabilistic forecasting and generative modelling.Data Scientist responsibilities:

• Lead and grow a high-performing data science team
• Architect scalable, neural-based forecasting models
• Productionise models for real-time market impact
• Collaborate closely with traders, strategists, and engineers
• Drive innovation in time series and uncertainty modelling

Data Scientist requirements:

• Experience in probabilistic & time series modelling
• Strong Python skills (PyTorch, NumPy, Polars, etc.)
• Solid grasp of joint distributions & temporal complexity
• Production/ML Ops know-how
• Proven leadership or mentorship experience

Bonus requirements:

• Energy/power market experience (ERCOT a plus)
• Familiarity with optimal power flow, causal inference
• Research background or speaking engagements

Data Scientist rewards:

• Competitive base salary
• Generous PTO
• Professional development
• Comprehensive medical, dental, and vision coverage
• Flexible hybrid working (3 days WFH per week)

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.If you are ready to take your career to the next level and make a significant impact, apply now!

Salary:

Location: Austin, TX

Date: Tue, 27 May 2025 06:41:40 GMT


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