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Senior Quantitative Statistician

Senior Quantitative Statistician

EngieChicago, Illinois, USA
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What You Can Expect

Asa Senior Quantitative Statistician at ENGIE Energy Marketing North America (EEMNA) you will play a critical role in advancing probabilistic forecasting for our energy platforms. Working closely with the Head of Market Analytics and collaborating with a team of data scientists software engineers and business stakeholders you will design and implement innovative statistical models that capture uncertainty across weather load grid conditions and other critical parameters.

Your work will directly impact our ability to simulate and forecast complex grid behavior helping shape advanced AI-driven tools used for real-time decision-making and long-term planning. This role is ideal for someone with deep expertise in climate or weather modeling statistical mechanics and probabilistic methods who thrives in fast-paced high-impact environments.

Reporting to the Head of Market Analytics your roles and responsibilities include :

  • Analyzing quantifying and modeling correlated uncertainty across hundreds of variables - including weather load grid outages and other grid parameters
  • Develop methodologies to create future grid and weather scenarios across timescales ranging from hours to years which preserves variable relationships and correlations
  • Use Monte Carlo simulations and other statistical techniques to build probabilistic forecasts across varying time horizons
  • Collaborate with the data science team to integrate scenario generation into physics-based and AI grid models
  • Evaluation quantifying and monitoring performance of scenario generation in terms of coverage accuracy and variability
  • Analyze variable sensitivities and their influence on forecast outputs
  • Interface with business stakeholders to understand critical use cases and define modeling parameters accordingly

What Youll Bring

  • Minimum of a Masters degree in Statistics Climate Science Applied Mathematics or a related quantitative field
  • A minimum of five (5) years of experience building probabilistic forecasts
  • Experience working with weather or climate forecasting in applied or research environments
  • Proficiency in linear algebra techniques such as eigenvalue decomposition principal component analysis (PCA) and Cholesky decomposition
  • Understanding of correlated uncertainty quantification and statistical modeling methods
  • Experience with Monte Carlo simulations and scenario analysis
  • Proficiency in a programming language such as Python (or similar) for statistical modeling and simulation
  • Ability to clearly communicate technical concepts to non-technical stakeholders and document complex methodologies
  • Collaborative team-oriented mindset with a proactive and detail-focused work style
  • Additional Details

  • This role is eligible for our hybrid work policy in our Houston TX; Chicago IL; and Broomfield CO offices. For highly qualified candidates based in Pittsburgh PA a fully remote arrangement may be considered provided the individual can travel to the Houston office for at least one week each month
  • Must be available to travel domestically up to 15% of the time and with the need for some overnight trips
  • Must be willing and able to comply with all ENGIE ethics and safety policies
  • Compensation

    Salary Range : $131000 $200790 USD annually

    This represents the average expected pay range for a qualified candidate.

    ENGIE complies with all federal state and local minimum wage laws. Actual salary offered may vary depending on geography experience education internal pay alignment or other bona fide factors.

    In addition to base pay this position is eligible for a competitive bonus / incentive plan.

    Your Talent Acquisition Partner can share more specific information regarding the benefits or the salary for the position based on the work location.

    At ENGIE we take your well-being seriously. Our comprehensive benefits package includes options for medical dental vision life insurance employer-paid short-term and long-term disability insurance ESPP generous paid time off including wellness days holidays and leave programs. We also help you plan for retirement by offering a 401(k) Retirement Savings Plan with a company match. But thats not all were dedicated to the health and happiness of your entire family offering supplemental benefits for full time employees that enhance emotional and physical well-being through all stages of life from family forming to caregiver benefits. Explore our benefits package to see how we can support you. Learn more .

    Why ENGIE

    ENGIE North America isnt just participating in the Zero-Carbon Transition were leading it! Join us as we develop energy that is renewable efficient and accessible to everyone.

    ENGIE is proud to be an equal opportunity workplace and we are firmly committed to creating an inclusive workplace for all employees. We are committed to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race color sex sexual orientation gender identity religion national origin disability veteran status or other legally protected status.

    If you need assistance with this application or a reasonable accommodation due to a disability you may contact us at This email address is reserved for individuals with disabilities in need of assistance and is not a means of inquiry regarding positions or application status.

    This role is eligible for sponsorship.

    The safety of our employees is our number one priority. All employees at ENGIE have both a duty and the authority to STOP WORK if unsafe acts are observed.

    Required Experience :

    Senior IC

    Key Skills

    Spss,R,Regression Analysis,Stata,Survival Analysis,Clinical Trials,Statistical Software,Data Mining,SAS,Statistics,Data Analysis Skills,Statistical Analysis

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 131000 - 200790

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    Senior Statistician • Chicago, Illinois, USA