Data ScientistBoulder, CO or Remote within U.S.  (local candidates prioritized)Please note: Ascend Analytics is not able to offer visa sponsorships at this time.   Your Impact at Ascend Analytics  As a Data Scientist, you will be responsible for advancing energy markets modeling to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe. Responsibilities include prototyping new solutions and extending existing models. Required skills include knowledge of classical and deep learning ML approaches and ability to implement them in Python. Familiarity with electrical energy systems and markets is preferred.     Ascend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit <a href="http://www.ascendanalytics.com/">www.ascendanalytics.com</a>.   Job Responsibilities  <ul><li>Develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms   </li></ul><ul><li>Experiment with different data science modeling approaches (e.g. deep learning, regression, boosting, trees, etc.) in Python and research state-of-the-art modeling techniques that could apply to energy forecasting problems   </li></ul><ul><li>Develop new model features in coordination with SMEs   </li></ul><ul><li>Optimize and enhance computational efficiency of algorithms and software design   </li></ul><ul><li>Develop both prototype models and production software    </li></ul><ul><li>Supporting existing commercial software and production systems    </li></ul><ul><li>This position also involves algorithms in statistics and finance applications, stochastic search, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, and planning and control of electric battery storage.   </li></ul> Required Qualifications  <ul><li>Bachelors Degree or higher in Computer Science, Data Science, Statistics, Operations Research, Economics, Power Systems, or related discipline  </li></ul><ul><li>1+ years of industry or academic experience in the field   </li></ul><ul><li>Experience in Python and relevant libraries (e.g., NumPy, Pandas, SciPy)    </li></ul><ul><li>Time series modeling and advanced statistics    </li></ul><ul><li>Ability to communicate with impact and confidence, both verbally and in writing    </li></ul><ul><li>Strong interpersonal skills, teamwork skills, and work ethic    </li></ul><ul><li>Interest in learning about and deploying novel software solutions    </li></ul><ul><li>Prior knowledge of, or strong interest in learning about wholesale electricity markets   </li></ul> Compensation: $80,000 - $130,000                    Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average.  We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.   We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.    Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at recruiting@ascendanalytics.com .

Ascend Analytics is an innovative software and consulting company at the forefront of the renewable energy transition. Our software solutions provide decision analytics for power traders, risk analysts, resource managers, developers and financiers. Ascend provides a collaborative work culture involving frequent interaction with clients, where individual initiative and creativity are highly valued. Interactions with senior management happen daily, and hard work never goes unnoticed. &nbsp; We take pride in being an equal opportunity employer and are committed to creating a diverse and inclusive environment for all employees. Ascend Analytics is headquartered in Boulder, Colorado - we are open to remote work for some positions. We are always interested in connecting with highly qualified candidates. If you are committed to addressing today&rsquo;s energy challenges, please submit your application today!

Data Scientist

Data ScientistBoulder, CO&nbsp;or Remote within U.S.  (local candidates prioritized)Please note: Ascend Analytics is not able to offer visa sponsorships at this time.&nbsp; &nbsp;Your Impact at Ascend Analytics &nbsp;As a Data Scientist, you will be responsible for advancing energy markets modeling to support the clean-tech power revolution. Your strong analytical skills and ability to develop innovative problem-solving solutions will support mission critical decision analytics for renewable and battery storage power providers around the globe. Responsibilities include prototyping new solutions and extending existing models. Required skills include knowledge of classical and deep learning ML approaches and ability to implement them in Python. Familiarity with electrical energy systems and markets is preferred.   &nbsp;&nbsp;Ascend Analytics is an innovative “climate tech” software and consulting company focused on energy analytics that are transforming the electric grid. Ascend's solutions provide the analytics to support critical power supply decisions from operating strategies, for short and long-term investment and resource planning decisions. For more information, visit <a href="http://www.ascendanalytics.com/">www.ascendanalytics.com</a>. &nbsp;&nbsp;Job Responsibilities &nbsp;<ul><li>Develop, evaluate, automate, optimize, and monitor performance of new data science models and algorithms  &nbsp;</li></ul><ul><li>Experiment with different data science modeling approaches (e.g. deep learning, regression, boosting, trees, etc.) in Python and research state-of-the-art modeling techniques that could apply to energy forecasting problems  &nbsp;</li></ul><ul><li>Develop new model features in coordination with SMEs  &nbsp;</li></ul><ul><li>Optimize and enhance computational efficiency of algorithms and software design  &nbsp;</li></ul><ul><li>Develop both prototype models and production software   &nbsp;</li></ul><ul><li>Supporting existing commercial software and production systems   &nbsp;</li></ul><ul><li>This position also involves algorithms in statistics and finance applications, stochastic search, simulating high penetrations of wind and solar energy, optimizing generation under uncertainty, and planning and control of electric battery storage.  &nbsp;</li></ul>&nbsp;Required Qualifications &nbsp;<ul><li>Bachelors Degree or higher in Computer Science, Data Science, Statistics, Operations Research, Economics, Power Systems, or related discipline &nbsp;</li></ul><ul><li>1+ years of industry or academic experience in the field  &nbsp;</li></ul><ul><li>Experience in Python and relevant libraries (e.g., NumPy, Pandas, SciPy)   &nbsp;</li></ul><ul><li>Time series modeling and advanced statistics   &nbsp;</li></ul><ul><li>Ability to communicate with impact and confidence, both verbally and in writing   &nbsp;</li></ul><ul><li>Strong interpersonal skills, teamwork skills, and work ethic   &nbsp;</li></ul><ul><li>Interest in learning about and deploying novel software solutions   &nbsp;</li></ul><ul><li>Prior knowledge of, or strong interest in learning about wholesale electricity markets  &nbsp;</li></ul>&nbsp;Compensation: $80,000 - $130,000                   &nbsp;Negotiable based on qualifications and experience. Ascend highly values our employees and often pays above industry average. &nbsp;We offer flexible work hours in a relaxed environment with opportunities for advancement and excellent benefits, including medical, dental, vision, short- and long-term disability, parental leave, dependent care spending account, and a 401k plan.  &nbsp;We celebrate diversity and are committed to creating an inclusive environment for all employees. Ascend Analytics is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information or other applicable legally protected characteristics.   &nbsp;Ascend Analytics is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at recruiting@ascendanalytics.com .&nbsp;

Data Scientist

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