Machine Learning Engineer

Proficiency in Python and SQLExperience of statistical techniques and concepts Experience using advanced data visualization techniques Experience transforming data using database querying (SQL) and dataframe classes Knowledge in advanced data modeling (e Communicates EffectivelyDemonstrating InitiativeDriving Continuous ImprovementEvaluating and Implementing IdeasWorking with AmbiguityMinimum Education Master's degree in Computer Science, Engineering, Applied Mathematics, Quantitative Economics, Statistics, or related field from an accredited university Operating computer, manual dexterity, talking, hearing, and repetitive motion Exerting up to 20 pounds of force frequently, and/or a negligible amount of force constantly to move objects If the use of arm and/or leg control requires exertion of forces greater than that of sedentary work and if the worker sits most of the time, the job is considered light work Responsibilities

The successful ML Engineer candidate will be someone who is never satisfied with doing things the way they have always been done , lays awake at night thinking of ways to twist data to gain new insights and very importantly not only is able to write the code to execute that vision but is able to partner with business leaders and act as SME to develop a deeper understanding of the problem He/she will help the organization articulate how the opportunity fits into the products pipeline in terms of desired customer outcomes, benefit estimation, and required technical roadmap for quick and iterative product solutions Lastly, the ML Engineer will be quite an observant of human experiences when interacting with our organization s or team s products to later incorporate this feedback into the product roadmap Translates complex analytical and technical concepts to non-technical employees Enable understanding and drive informed business decisions so that more resources can be assigned to our team to deliver on the Data Transformation Strategy Partners with business leaders across the organization Define business or customer problems and questions so that we can assess the opportunity fit and articulate and refer the most promising opportunities for product management Serves as key resource and Subject Matter Expert (SME) on cross functional teams ) Able to iterate fast so that we can reduce time-to-market of our products Builds large and complex information sets, integrating and extracting relevant information from large amounts of both structured and unstructured data Untap the full power of data so that we make sure our customer-specific preferences are accounted for Deliver insights or develop analytical solutions such that we achieve and measure business objectives Builds and maintains a robust library of reusable algorithms and supporting code Create products based on the highest quality data, that are transparently conducted, and able to be productionized and reproduced so that our business partners can trust us Performs other duties as assigned Ability to travel to and from meetings, training sessions or other business-related events Estimated Salary: $20 to $28 per hour based on qualifications Qualifications

Minimum Knowledge and Abilities Proficiency in Python and SQLExperience of statistical techniques and concepts Experience using advanced data visualization techniques Experience transforming data using database querying (SQL) and dataframe classes Knowledge in advanced data modeling (e Communicates EffectivelyDemonstrating InitiativeDriving Continuous ImprovementEvaluating and Implementing IdeasWorking with AmbiguityMinimum Education Master's degree in Computer Science, Engineering, Applied Mathematics, Quantitative Economics, Statistics, or related field from an accredited university Operating computer, manual dexterity, talking, hearing, and repetitive motion Exerting up to 20 pounds of force frequently, and/or a negligible amount of force constantly to move objects If the use of arm and/or leg control requires exertion of forces greater than that of sedentary work and if the worker sits most of the time, the job is considered light work Responsibilities

The successful ML Engineer candidate will be someone who is never satisfied with doing things the way they have always been done , lays awake at night thinking of ways to twist data to gain new insights and very importantly not only is able to write the code to execute that vision but is able to partner with business leaders and act as SME to develop a deeper understanding of the problem He/she will help the organization articulate how the opportunity fits into the products pipeline in terms of desired customer outcomes, benefit estimation, and required technical roadmap for quick and iterative product solutions Lastly, the ML Engineer will be quite an observant of human experiences when interacting with our organization s or team s products to later incorporate this feedback into the product roadmap Translates complex analytical and technical concepts to non-technical employees Enable understanding and drive informed business decisions so that more resources can be assigned to our team to deliver on the Data Transformation Strategy Partners with business leaders across the organization Define business or customer problems and questions so that we can assess the opportunity fit and articulate and refer the most promising opportunities for product management Serves as key resource and Subject Matter Expert (SME) on cross functional teams ) Able to iterate fast so that we can reduce time-to-market of our products Builds large and complex information sets, integrating and extracting relevant information from large amounts of both structured and unstructured data Untap the full power of data so that we make sure our customer-specific preferences are accounted for Deliver insights or develop analytical solutions such that we achieve and measure business objectives Builds and maintains a robust library of reusable algorithms and supporting code Create products based on the highest quality data, that are transparently conducted, and able to be productionized and reproduced so that our business partners can trust us Performs other duties as assigned Ability to travel to and from meetings, training sessions or other business-related events Benefits

Estimated Salary: $20 to $28 per hour based on qualifications We are engineers, high line workers, power plant managers, accountants, electricians, project coordinators, risk analysts, customer service operators, community representatives, safety and security specialists, communicators, human resources partners, information technology technicians and much, much more. We are 3,300 people committed to enhancing the lives of the communities we serve. Together... we are powering the growth and success of our community progress every day

Grade: 14, 15, 16

Qualifications may warrant placement in a different job level.

Deadline to apply: March 31, 2021

Extended Deadline to apply: April 8, 2021

Extended Deadline to apply: Open Until Filled Position Summary

The Advanced Analytics & Intelligence (A2I) team is a center of excellence that provides data-driven solutions through advanced analytic techniques to a broad spectrum of CPS Energy operations and functions. The successful ML Engineer candidate will be someone who is never satisfied with doing things the way they have always been done , lays awake at night thinking of ways to twist data to gain new insights and very importantly not only is able to write the code to execute that vision but is able to partner with business leaders and act as SME to develop a deeper understanding of the problem. He/she will help the organization articulate how the opportunity fits into the products pipeline in terms of desired customer outcomes, benefit estimation, and required technical roadmap for quick and iterative product solutions. Lastly, the ML Engineer will be quite an observant of human experiences when interacting with our organization s or team s products to later incorporate this feedback into the product roadmap. Tasks and Responsibilities • Translates complex analytical and technical concepts to non-technical employees. Enable understanding and drive informed business decisions so that more resources can be assigned to our team to deliver on the Data Transformation Strategy. • Partners with business leaders across the organization. Define business or customer problems and questions so that we can assess the opportunity fit and articulate and refer the most promising opportunities for product management. • Serves as key resource and Subject Matter Expert (SME) on cross functional teams. Understand interconnected complex work critical to the organization so that we can assure the product solution has considered multiple business/IT angles and risks. • Brings a deep understanding of data science analytical tools (e. g. Hadoop, Spark, Alteryx, Oracle SQL, Jupyter Notebooks, Python, etc. ) Able to iterate fast so that we can reduce time-to-market of our products. • Builds large and complex information sets, integrating and extracting relevant information from large amounts of both structured and unstructured data. Untap the full power of data so that we make sure our customer-specific preferences are accounted for. • Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques. Deliver insights or develop analytical solutions such that we achieve and measure business objectives. • Builds and maintains a robust library of reusable algorithms and supporting code. Create products based on the highest quality data, that are transparently conducted, and able to be productionized and reproduced so that our business partners can trust us. • Performs other duties as assigned. Minimum Skills Minimum Knowledge and Abilities Proficiency in Python and SQLExperience of statistical techniques and conceptsExperience with machine learning APIs/libraries: SparkML, Scikit-learn, H2O. ai, Tensorflow, PyTorchExperience in predictive modeling, large data analysis and computer scienceExperience using advanced data visualization techniquesExperience transforming data using database querying (SQL) and dataframe classesKnowledge in advanced data modeling (e. g. Alteryx, Apache Spark, API consumption, advanced SQL)Good communication skills to coordinate between different teamsPreferred Qualifications • Completion of Associate Certified Analytics Professional (aCAP) certification • Master s degree with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). • Experience of Business Problem Framing, Analytics Problem Framing, Data, Methodology Selection, Model Building, Deployment, Lifecycle Management. • Familiarity with agile practices and continuous improvement • Knowledge of reinforced learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. • Desire to make a difference in customer experience or electric/gas business operations Competencies Communicates EffectivelyDemonstrating InitiativeDriving Continuous ImprovementEvaluating and Implementing IdeasWorking with AmbiguityMinimum Education Master's degree in Computer Science, Engineering, Applied Mathematics, Quantitative Economics, Statistics, or related field from an accredited universityRequired Certifications Working Environment Work is performed both indoors and outdoors. Operating computer, manual dexterity, talking, hearing, and repetitive motion. Use of personal computing equipment, telephone, multi-functioning printer and calculator. Employee may potentially be exposed to hazardous chemicals, wet or humid conditions, outdoor weather, noisy and dusty environment. Ability to travel to and from meetings, training sessions or other business-related events. After hours work may be required. Physical Demands Exerting up to 20 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg control requires exertion of forces greater than that of sedentary work and if the worker sits most of the time, the job is considered light work.

CPS Energy does not discriminate against applicants or employees. CPS Energy is committed to providing equal opportunity in all of its employment practices, including selection, hiring, promotion, transfers and compensation, to all qualified applicants and employees without regard to race, religion, color, sex, sexual orientation, gender identity, national origin, citizenship status, veteran status, pregnancy, age, disability, genetic information or any other protected status. CPS Energy will comply with all laws and regulations. . Estimated Salary: $20 to $28 per hour based on qualifications

Company information CPS Energy is the nation's largest municipally owned energy company. Thanks to our diversified menu of fuels, we can provide our customers in San Antonio and surrounding areas with affordable and reliable power while being sensitive to the environment. We are constantly striving to meet the changing needs of our customers. From grid optimization to solar power, we're also building valuable partnerships with companies who share our belief in clean energy, innovation and energy efficiency. For more information, visit newsroom.cpsenergy.com. Energy, Renewable Energy, Natural Gas, Power Generation, Utilities, Oil & Energy, Renewables & Environment, Electrical/Electronic Manufacturing Government Agency Company Specialties: Electricity and natural gas, Renewable Energy, and public utility

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