Data Scientist jobs at Huntington Ingalls Industries - 102 jobs

Select how often (in days) to receive an alert: Company: hawaiianel We recognize our competitive advantage -- our people. We believe in our people, who share our vision of meeting the needs of our employees, customers, and communities and who carry out the continued success of the company. Our employees are committed to the company's foundational values: integrity, excellence, teamwork, environmental stewardship, and community commitment. In turn, we invest in our employees, providing opportunities for challenge and advancement and offering a competitive compensation package. Posting End Date: This position will remain open until filled. Early applications are highly encouraged. JOB FUNCTION Leverages advanced data science methodologies to assess and predict fire risk across Hawaiian Electric's service territories. Develops models integrating weather, fuel load, and environmental data to assess wildfire risks and develop mitigation strategies. Provides actionable insights for infrastructure protection, emergency response planning, and long-term grid resilience. Supports operational decision‑making through predictive analytics and geospatial intelligence. ESSENTIAL FUNCTIONS Designs and implements computational models for fire risk prediction using weather, climate, and environmental data. Collaborates with meteorologists, field operations, and other teams to assess wildfire risk based on conditions and other environmental factors. Advises on infrastructure protection measures, including undergrounding lines, fire‑resistant materials, and vegetation management. Develops rapid response strategies and reduction projects, including Public Safety Power Shutoffs (PSPS) in high‑risk areas. Monitors and analyzes GIS data for wildfire tracking and risk assessment. Supports wildfire mitigation planning and coordination with operational teams. Prepares reports on fuel conditions, risk assessments, and mitigation activities. Presents findings to stakeholders and management. Analyzes large datasets related to fire risk, grid infrastructure, and environmental conditions. Conducts fieldwork to collect samples from various locations, including forests, grasslands, and urban interfaces. Analyzes collected samples to determine moisture content, fuel load, and other critical parameters that influence wildfire behavior. Maintains accurate records of sample data and analysis results. Utilizes GIS and other data management tools to map and track fuel conditions. Supports fire investigations with data‑driven insights. Develops dashboards, tools, and visualizations to inform leadership and guide strategic decisions. Prepares and delivers presentations to senior management. Provides internal training and support to stakeholders on fire data analytics. Emergency Response Support Participates in Company emergency response activities as assigned, including any activities required to prepare for such emergency response. Provides analytical support during wildfire events and other emergencies. BASIC QUALIFICATIONS Knowledge Requirements Bachelor's degree in Forestry, Environmental Science, Physics, Analytics, Data Science, Mathematics, Fire Science, or a related field. Experience with wildfire behavior modeling preferred. Proficiency in GIS and data management tools and data libraries. Strong working knowledge of Python and SQL. Familiarity with data governance and industry best practices. Skills Requirements Ability to adapt in a fast‑paced, dynamic environment. Skilled in translating complex data into actionable insights and visualizations. Strong analytical, conceptual, and administrative capabilities. Effective cross‑functional collaboration and stakeholder engagement. Excellent written, verbal, and presentation skills. High emotional intelligence and discretion in handling sensitive issues. Must have or be able to qualify for a State of Hawaii driver's license. Must meet the standards for driving positions statedin the Hiring Standards for Driving Positions policy. These standards may be adjusted periodically to meet business and safety objectives. Experience Requirements Several (3‑5) years wildfire mitigation, data analytics, statistics, or data mining technologies. Role: PROFESSIONAL Number of Vacancies: 1 Location: Honolulu - Oahu Hiring Range: The hiring range for the Fire Data Scientist - Oahu [Req ID 10009] position is $87,400.00 to $111,500.00. The person selected will be placed according to his/her skills and qualifications. About Hawaiian Electric Companies Hawaiian Electric Companies provide electricity and services to 95 percent of the state's 1.4 million residents. The company is also one of the state's leading employers and a major contributor and supporter of community and educational programs. The demand for power that has fueled the growth of the Hawaiian Islands has been met by Hawaiian Electric Companies for well over a century. And as the next millennium unfolds, the company is committed to providing quality service and seeking clean local energy sources to power generations of Hawaii families and businesses to come. Visit us at**************************** Interested individuals should apply online. The application must clearly indicate the demonstrated experience/knowledge/skills/abilities the candidate possesses which specifically qualifies him/her for the position. Applicant Certification 1. Authorize the Hawaiian Electric Companies to confirm all statements contained in the application and/or any materials submitted and made a part of the application as they relate to the position and to the extent permitted by law; 2. Authorize and consent to, without reservation, the Hawaiian Electric Companies sharing any and all information regarding previous or present employment, educational training or personal information from their records and from any other source with the hiring department or subsidiary company; 3. Release, discharge, and hold harmless, Hawaiian Electric Companies, from any and all liability for any damage which may be claimed as a result of furnishing such information to the hiring department or subsidiary company; 4. Authorizes release and transfer of all personnel records to be maintained by the hiring company in the event of an inter‑company transfer; 5. Authorize, direct, and consent to Hawaiian Electric Companies and/or its authorized agents to conduct investigations into candidates' background. These investigations may include, but are not limited to searches for information about applicants; record of criminal convictions to the extent permitted by law, education records, professional certifications, personal character references, and employment history. EEO Statement Hawaiian Electric Companies is an equal opportunity employer, including disability and protected veteran status. Hawaiian Electric Companies complies with all applicable laws, including Title I of the Americans with Disabilities Act. Any request for reasonable accommodation needed during the application process should be communicated by the candidate to the HR Service Center at **************. Affiliate Disclaimer Hawaiian Electric Company, Inc., Maui Electric Company, and Hawaii Electric Light (“Company”) are Hawaii Public Utilities Commission (“PUC”) regulated companies. The disclosure relating to Affiliate Transaction Requirements that follows is made pursuant to the PUC's Decision and Order No. 35962, issued on December 19, 2018, and subsequently modified by Order No. 36112, issued on January 24, 2019 in Docket No. 2018‑0065. By submitting your application, you understand and acknowledge that, if you are hired by the Company and subsequently transferred, assigned or otherwise employed by an Affiliate, said Affiliate will be required to make a one‑time payment to the Company in an amount up to twenty‑five percent (25%) of your base annual compensation. In addition, if you are hired by the Company and subsequently transferred, assigned or otherwise employed by an Affiliate or an Affiliate‑Related Entity, for a period of one year, you cannot appear in negotiations or otherwise interact directly with the Company or work on the same matter that you worked on while with the Company. Affiliate is defined as “any person or entity that possesses an ‘affiliate interest' in a utility as defined by section 269‑19.5, Hawaii Revised Statutes (“HRS”), including a utility's parent holding company, except as otherwise provided by HRS section 269‑19.5(h).” Affiliate‑Related Entity is defined as “a third party that provides electricity‑related services in a regulated utility's service territory that has a material financial, operational, or ownership interest with an unregulated affiliate of the utility and of whom the utility has reasonable knowledge.” For a current list of all Affiliates and Affiliate‑Related Entities, please see: ************************************************************************************************** This list may be amended, updated or revised from time to time without notice. #J-18808-Ljbffr

A leading utility company in Hawaii is seeking a Fire Data Scientist to utilize advanced data science methodologies for fire risk assessment and prediction. The successful candidate will collaborate on infrastructure protection strategies and support emergency response operations. A bachelor's degree in a relevant field and experience in data analytics are required, along with proficiency in GIS tools, Python, and SQL. #J-18808-Ljbffr

A technology company specializing in agricultural solutions is seeking a Senior Engineer to tackle complex challenges in distributed systems and horticultural science. You will design and optimize a core data processing engine, ensure data integrity, and drive technical innovation. Ideal candidates will have over 5 years of software engineering experience and deep knowledge of Python and PostgreSQL, among other key skills. Join us to make a real impact in sustainable agriculture. #J-18808-Ljbffr

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

POWER YOUR GREATNESS PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability and diversity, equity and inclusion. General Purpose Provides technical support on complex and business critical projects related to wildfire mitigation, asset performance, and T&D Operations across six states. Leverages large data sets including weather, environmental, outage, vegetation, and grid attributes to inform long term risk analysis and aid in decision making. Works alongside senior leadership to develop tools and analysis and inform the future of data driven decisions. Develops presentations for senior management and recommends and implements changes to meet company goals. Responsibilities Conduct research studies and technical analyses in areas of specialized data science to support company objectives including wildfire risk modeling and analysis, electric service reliability analysis, and ad hoc projects in support of electric operations program teams. Support data science projects, processes, or systems over the life cycle of the project, including project identification, scope development, implementation, and long-term operations and maintenance. Collaborate with engineering, operations, and regulatory teams to analyze complex problems, identify issues, innovate and deliver solutions consistent with schedules established. Provide technical expertise across business units to support functions such as wildfire mitigation and reliability within the T&D Operations organization. Develop detailed computational analysis, including data science, computer modeling, and scripting and tool development, and integrate methods and products within and across company software products. Participate in government, industry, collegiate and other applicable associations or work groups which have the ability to influence or set policy impacting the future of our utility. Determine methods and techniques for obtaining results. Support data literacy and scripting knowledge development across the team. Strong customer service focus. Requirements Bachelor's degree in Data Science, Analytics, Statistics, Math, or Engineering from an accredited college/university. A minimum of 3 years' experience in a power/utility/energy industry or related professional experience. Demonstrated experience in Python (or related language) Knowledge of SQL query construction and optimization Technical writing skills. Ability to communicate complex data in a simple, actionable way through visualizations. Ability to review scientific literature and incorporate knowledge into ongoing projects. Ability to work cross functionally and support multiple departments. Demonstrated project management skills. Knowledge of industry best practices for data science and data governance. Preferences Experience in Python (or related language) and associated libraries for machine learning. Experience with time series modeling and forecasting. Experience working with public utility commissions (PUCs) and their requirements/regulations. Experience working in the utilities, risk management, or wildfire mitigation sector. Proficiency with Microsoft Azure Machine Learning environment. Experience with C#, Spark, or R. Understanding of the Company's business and relevant policies, procedures, and practices. Experience with wildfire science or wildfire-related analytics use cases strongly preferred. Experience using ESRI toolsets including ArcGIS Pro and QGIS. Experience utilizing Python geospatial packages such as matplotlib, shapely, and other relevant spatial tools. Additional Information Req Id: 112341 Company Code: PacifiCorp Primary Location: SALT LAKE CITY Department: Power Delivery Schedule: FT Personnel Subarea: Exempt Hiring Range: $90,200-$127,400 This position is eligible for an annual discretionary performance incentive bonus of up to 12.00% of salary. Benefits: Health care, retirement, paid time off, tuition assistance, paid short-term and long-term disability, paid bereavement leave. For more information, please visit: ********************************************************************** Employees must be able to perform the essential functions of the position with or without an accommodation. At PacifiCorp, we celebrate diversity, equity and inclusion. PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations.

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we can work together. What you will do We are hiring multiple Data Scientists to lead the design, development, and deployment of advanced AI/ML solutions across diverse domains, including: * Generative AI & NLP (LLMs, agentic workflows) * Time Series Forecasting & Anomaly Detection * Optimization & Prescriptive Analytics * Commercial Analytics (pricing, marketing, supply chain) * Subsurface & Wells (physics-informed ML, production optimization) * Computer Vision & Document Intelligence You will work end-to-end-from problem framing and experimentation through production and sustainment-partnering with engineers and business stakeholders to deliver scalable, reliable, and impactful solutions. What role will you play in the team * Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. * Collaborate with cross-functional teams to translate business problems into mathematical frameworks. * Build solutions in one or more domains listed above, applying best practices for data quality, explainability, and governance. * Develop GenAI applications (chatbots, copilots, multi-agent workflows) and/or time series, optimization, or commercial analytics models. * Ensure production readiness through MLOps practices (CI/CD, MLflow, monitoring, cost optimization). * Mentor peers and contribute to internal AI capability building. About you Desired Skills * 5+ years of direct experience delivering production AI/ML solutions. * Expertise in one or more of the following: NLP/GenAI, time series, optimization, commercial analytics, subsurface/wells, computer vision. * Strong foundations in statistics, probability, and algorithm design. * Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark. * Familiarity with GenAI frameworks (LangChain, Promptflow) and/or optimization libraries. * Experience with MLOps, model governance, and explainable AI techniques (e.g., SHAP, LIME). * Excellent communication and collaboration skills. Preferred Knowledge/Skills * Cloud platforms (Azure ML, Azure OpenAI, Databricks). * Commercial domain experience (pricing, forecasting, supply chain) or energy/subsurface expertise. * Knowledge graphs, hybrid search/RAG, and semantic technologies. * Agile development and software engineering best practices. Educational Background Recommended * Master's or PhD in Data Science, Computer Science, Engineering, Applied Math, or related field. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life. We offer you: * Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life. * Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match. * Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work. * Comprehensive medical, dental, and vision plans. * Culture of Health: Programs and resources to support your wellbeing. * Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you. * Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you. More information on our Company's benefits can be found at ************************* Please note benefits may be changed from time to time without notice, subject to applicable law. Stay connected with us Learn more at our website Follow us on LinkedIN and Instagram Like us on Facebook Subscribe our channel at YouTube Employee equal opportunity ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Job ID: 82223 #LI-Onsite Nearest Major Market: Houston Job Segment: Sustainability, Cloud, Software Engineer, Computer Science, Engineer, Energy, Technology, Engineering

Data Scientist - Advanced Metering Infrastructure (AMI) Analytics Alabama Power Company Corporate Headquarters - Birmingham, AL Georgia Power Company Corporate Headquarters - Atlanta, GA Mississippi Power Corporate Headquarters - Gulfport, MS Job Summary: The Data Scientist within APC Power Delivery's AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain. Key Responsibilities: AI/ML Strategy & Use Case Development - Identify and evaluate AI/ML opportunities aligned with AMI business objectives. - Stay current on emerging technologies and educate the team on their practical applications. Algorithm Design & Model Optimization - Develop and refine machine learning models to solve complex problems using enterprise-scale data. - Continuously adopt new tools and techniques to enhance model performance and scalability. Framework Development & MLOps Integration - Architect and implement an AMI-specific AI development framework under the AMI Governance Committee. - Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines. Documentation & Reporting - Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication. Collaboration & Mentorship - Partner with end-users to understand analytical needs and co-create data-driven solutions. - Mentor team members to foster skill development and promote a culture of continuous learning. Job Requirements: Education & Experience - Master's degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence. - Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models. Knowledge, Skills & Abilities: - Programming & Data Engineering: Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL. - Model Development: Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms. - Cloud & Integration: Experience with Azure-based ML deployment, data migration, and integration across diverse datasets. - Generative AI & LLMs: Familiarity with Generative AI and Large Language Models; hands-on experience is a plus. - Debugging & Optimization: Strong analytical skills for monitoring and troubleshooting data pipelines and solutions. - Communication & Influence: Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels. - Consulting & Collaboration: Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling. - Learning & Adaptability: Self-driven learner with awareness of industry trends and emerging technologies. - Multitasking & Prioritization: Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment. Behavioral Attributes: The ideal candidate will embody Southern Company's core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate: - Innovation and results orientation - Strategic thinking with an enterprise mindset - Commitment to continuous improvement and development of others - Strong partnership-building skills - Ability to work independently and collaboratively - Decisiveness and agility - High ethical standards - Being on-site at the HQ office 4 days a week.

**Data Scientist - Advanced Metering Infrastructure (AMI) Analytics** Alabama Power Company Corporate Headquarters - Birmingham, AL Georgia Power Company Corporate Headquarters - Atlanta, GA Mississippi Power Corporate Headquarters - Gulfport, MS **Job Summary:** The Data Scientist within APC Power Delivery's AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain. **Key Responsibilities:** AI/ML Strategy & Use Case Development - Identify and evaluate AI/ML opportunities aligned with AMI business objectives. - Stay current on emerging technologies and educate the team on their practical applications. **Algorithm Design & Model Optimization** - Develop and refine machine learning models to solve complex problems using enterprise-scale data. - Continuously adopt new tools and techniques to enhance model performance and scalability. **Framework Development & MLOps Integration** - Architect and implement an AMI-specific AI development framework under the AMI Governance Committee. - Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines. **Documentation & Reporting** - Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication. **Collaboration & Mentorship** - Partner with end-users to understand analytical needs and co-create data-driven solutions. - Mentor team members to foster skill development and promote a culture of continuous learning. **Job Requirements: Education & Experience** - Master's degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence. - Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models. **Knowledge, Skills & Abilities:** - Programming & Data Engineering: Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL. - Model Development: Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms. - Cloud & Integration: Experience with Azure-based ML deployment, data migration, and integration across diverse datasets. - Generative AI & LLMs: Familiarity with Generative AI and Large Language Models; hands-on experience is a plus. - Debugging & Optimization: Strong analytical skills for monitoring and troubleshooting data pipelines and solutions. - Communication & Influence: Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels. - Consulting & Collaboration: Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling. - Learning & Adaptability: Self-driven learner with awareness of industry trends and emerging technologies. - Multitasking & Prioritization: Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment. **Behavioral Attributes:** The ideal candidate will embody Southern Company's core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate: - Innovation and results orientation - Strategic thinking with an enterprise mindset - Commitment to continuous improvement and development of others - Strong partnership-building skills - Ability to work independently and collaboratively - Decisiveness and agility - High ethical standards - Being on-site at the HQ office 4 days a week. Alabama Power provides safe, reliable, and affordable electricity to 1.5 million customers across the lower two-thirds of Alabama. For more information, visit ******************** and connect with the company on Facebook (Facebook.com/AlabamaPower), Twitter (Twitter.com/AlabamaPower), LinkedIn (Linkedin.com/company/alabama-power), and Instagram (Instagram.com/alabamapower). Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit *********************** . Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here **************************************************** . Additional and specific details about total compensation and benefits will also be provided during the hiring process. Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. Job Identification: 16309 Job Category: Data Analytics Job Schedule: Full time Company: Alabama Power

NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us! Position Specific Description NextEra Energy is a Fortune 200 company that owns Florida Power & Light Company, the largest electric utility in the United States, serving approximately 12 million residents in Florida. Our diverse energy portfolio includes natural gas, nuclear, renewable energy, and battery storage solutions. With a strong commitment to meeting America's evolving energy needs sustainably, NextEra Energy Resources, LLC, is a leader in energy infrastructure development. Ready to make a meaningful impact? Join our team to elevate your career. The Principal Geospatial Data Scientist for the Enterprise NEE.GIS Geospatial DataOps team will drive innovation by integrating cutting-edge data science methodologies, including machine learning (ML), deep learning (DL), and artificial intelligence (AI), into geospatial analytics. This role involves leading cross-functional teams to design, build, and deliver advanced geospatial data and analytics solutions, enhancing operational efficiency and strategic decision-making. We place a strong emphasis on expertise in current technologies and processes, coupled with a proven track record of innovation. Ideal candidates will have extensive experience in geospatial data management and analytics, and demonstrate a passion for developing groundbreaking analyses, processes, or tools utilizing advanced data science techniques. Key Responsibilities The Principal Geospatial Data Scientist leads complex geospatial data projects by deploying advanced analytical techniques and modeling. This role involves transforming raw spatial data into strategic insights to drive decision-making and business innovation. * Acquire and preprocess geospatial data from diverse sources, including satellite imagery, GIS, vendors, and governmental agencies; automate workflows where feasible. * Develop and apply sophisticated statistical models and machine learning algorithms to perform large-scale spatial data analyses. * Design and implement dynamic visualizations-apps, dashboards, maps, and charts-to effectively communicate geospatial insights to non-technical audiences. * Collaborate with cross-functional stakeholders to discern data requirements and develop tailored solutions. * Construct predictive models to forecast spatial trends and patterns; continuously refine and advance model efficacy. * Synthesize varied data sources into unified geospatial datasets; ensure data integrity through routine audits and quality assurance. * Stay abreast of cutting-edge geospatial analytics techniques and GIS technology advancements. * Innovate by exploring new data sources and methodologies within geospatial analysis. * Perform additional job-related duties as necessary. Preferred Qualifications: * Possess expert knowledge of coordinate reference systems, including their reprojections and conversions, with a focus on understanding the implications of accuracy and performance impact on large-scale geospatial data analytics. * Proven experience in national or global scale data analysis and modeling. * Proficient in programming languages, notably Python; familiarity with version control systems like Git and Agile methodologies. * Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes. * Extensive experience with machine learning, deep learning, and artificial intelligence applications. * Ability to coordinate multifaceted analysis projects with various subject matter experts to achieve cost-effective and competitive outcomes. * Background in the Energy sector, particularly in Oil & Gas, Renewables, or Utilities. Desired Qualifications * GISP and/or ASPRS CMS Certifications * DASCA or similar certification * Master's Degree * Doctoral Degree * Experience: 10+ years Job Overview

**Company:** NextEra Energy **Requisition ID:** 92194 NextEra Energy Resources is one of America's largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us! **Position Specific Description** NextEra Energy is a Fortune 200 company that owns Florida Power & Light Company, the largest electric utility in the United States, serving approximately 12 million residents in Florida. Our diverse energy portfolio includes natural gas, nuclear, renewable energy, and battery storage solutions. With a strong commitment to meeting America's evolving energy needs sustainably, NextEra Energy Resources, LLC, is a leader in energy infrastructure development. Ready to make a meaningful impact? Join our team to elevate your career. The Principal Geospatial Data Scientist for the Enterprise NEE.GIS Geospatial DataOps team will drive innovation by integrating cutting-edge data science methodologies, including machine learning (ML), deep learning (DL), and artificial intelligence (AI), into geospatial analytics. This role involves leading cross-functional teams to design, build, and deliver advanced geospatial data and analytics solutions, enhancing operational efficiency and strategic decision-making. We place a strong emphasis on expertise in current technologies and processes, coupled with a proven track record of innovation. Ideal candidates will have extensive experience in geospatial data management and analytics, and demonstrate a passion for developing groundbreaking analyses, processes, or tools utilizing advanced data science techniques. Key Responsibilities The Principal Geospatial Data Scientist leads complex geospatial data projects by deploying advanced analytical techniques and modeling. This role involves transforming raw spatial data into strategic insights to drive decision-making and business innovation. + Acquire and preprocess geospatial data from diverse sources, including satellite imagery, GIS, vendors, and governmental agencies; automate workflows where feasible. + Develop and apply sophisticated statistical models and machine learning algorithms to perform large-scale spatial data analyses. + Design and implement dynamic visualizations-apps, dashboards, maps, and charts-to effectively communicate geospatial insights to non-technical audiences. + Collaborate with cross-functional stakeholders to discern data requirements and develop tailored solutions. + Construct predictive models to forecast spatial trends and patterns; continuously refine and advance model efficacy. + Synthesize varied data sources into unified geospatial datasets; ensure data integrity through routine audits and quality assurance. + Stay abreast of cutting-edge geospatial analytics techniques and GIS technology advancements. + Innovate by exploring new data sources and methodologies within geospatial analysis. + Perform additional job-related duties as necessary. **Preferred Qualifications:** + Possess expert knowledge of coordinate reference systems, including their reprojections and conversions, with a focus on understanding the implications of accuracy and performance impact on large-scale geospatial data analytics. + Proven experience in national or global scale data analysis and modeling. + Proficient in programming languages, notably Python; familiarity with version control systems like Git and Agile methodologies. + Expertise in Safe Software FME and Esri Enterprise GIS platforms, as well as cloud computing environments like AWS, leveraging Kubernetes. + Extensive experience with machine learning, deep learning, and artificial intelligence applications. + Ability to coordinate multifaceted analysis projects with various subject matter experts to achieve cost-effective and competitive outcomes. + Background in the Energy sector, particularly in Oil & Gas, Renewables, or Utilities. **Desired Qualifications** + GISP and/or ASPRS CMS Certifications + DASCA or similar certification + Master's Degree + Doctoral Degree + Experience: 10+ years **Job Overview** This position is responsible for leading the development of algorithms, modeling techniques, and optimization methods that support many aspects of NextEra and FPL business. Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (i.e., "Big Data"). **Job Duties & Responsibilities** + Provide thought leadership, set technical strategy, and identify possible uses of data science methods + Explain methods and results to upper-level executives + Develop machine learning, optimizations or other modeling solutions + Oversee related employee work, learn new techniques being developed + Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses + Works with big data and distributed computing platforms + Develops software and contributes to product development + Performs other job-related duties as assigned **Required Qualifications** + Bachelor's Degree + Experience: 6+ years **Preferred Qualifications** + Master's Degree + Doctoral Degree NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Clickto learn more. **Employee Group:** Exempt **Employee Type:** Full Time **Job Category:** Science, Research, and Technology **Organization:** NextEra Energy Project Management, LLC **Relocation Provided:** Yes, if applicable NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call **************. Please do not use this line to inquire about your application status. NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. NextEra Energy **does not** accept any unsolicited resumes or referrals from **any third-party recruiting firms or agencies** . Please see ourfor more information. \#LI-JN2

**52636BR** **Company:** General Atomics Aeronautical Systems General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. We have an exciting opportunity for a Scientist/Engineer to join our Applied Sciences and Technologies (ASTech) team within the Agile Mission Systems (AMS) division here in San Diego. Do you enjoy solving difficult technical problems? Do you have strong mathematical, modeling and/or design skills and wish to apply them towards building real-world solutions with tangible impacts? Do you enjoy a fast-paced environment that will provide you with a diverse set of projects and people to work with? If any of these describe you, then you might be a prime candidate to join the ASTech team here at AMS! We are looking for a scientist/engineer who enjoys developing new technologies and techniques that solve critical problems, with the ability to assist in rapid prototyping for proof-of-concept demonstrations. In this role, you will support the development of novel sensing capabilities leveraging a wide range of technologies; RF, AI/ML, EO/IR, DSP, EW, etc. The successful candidate will report to and work closely with the Manager of the RF & Signal Processing team. **DUTIES & RESPONSIBILITIES:** + Initiate and develop highly innovative solutions to advanced technical problems + Perform assessments of candidate state-of-the-art signal processing algorithms + Develop sensing capabilities leveraging a wide range of technologies; RF, AI/ML, EO/IR, DSP, EW, etc. + Develop and assess novel communications solutions, including waveforms, networking, and electronics + Modeling link-budgets to help define system requirements and performance + Implement Space-time adaptive processing (STAP) techniques + Perform analysis of candidate designs to determine the impact to subsystem and system performance + Provide expert guidance and consulting to other staff members + Assist in the concept generation for, and authorship of, white papers and proposals + Support supplier and subcontractor evaluations + Provide technical management of subcontracts when required + Represent the Company as a technical contact to customers and suppliers + Performs other duties as assigned or required We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. **Job ID#:** 52636BR **Job Category:** Scientists **Travel Percentage Required:** 0% - 25% **Full-Time/Part-Time:** Full-Time Salary **State:** California **Clearance Level:** Secret **Pay Range Low:** 116,480 **City:** Poway **Clearance Required?:** Desired **Pay Range High:** 208,505 **Recruitment Posting Title:** RF and Signal Processing Scientist **Job Qualifications:** + Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. May substitute equivalent experience in lieu of education. + Proficiency in one of the following languages is required, and familiarity with more than one is desired: MATLAB, Python, C++ Must be a team player with excellent communications skills both verbally and in technical writing. + Must be able to prepare and conduct detailed technical presentations and reviews. + Must be customer focused, formulates plans based on the development of innovative new designs in resolving advanced technical problems. + Must be able to work on a self-initiated basis and in a team environment. + Limited travel and extended work schedules may be required. + Ability to obtain and maintain a DoD security clearance is required. **US Citizenship Required?:** Yes **Experience Level:** Senior (8+ years) **Relocation Assistance Provided?:** No **Workstyle:** Onsite General Atomics is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, religious creed, ancestry, gender, pregnancy, sex, sexual orientation, transitioning status, gender identity, gender expression, national origin, age, genetic information, military and veteran status, marital status, medical condition, mental disability, physical disability, or any other basis protected by local, state, or federal law. In accordance with applicable federal law, General Atomics takes affirmative action to employ and advance the employment of qualified protected veterans and individuals with disabilities. We also prohibit compensation discrimination under all applicable laws. U.S. Citizenship is required for certain positions. To learn more, please review the EEOC's "Know Your Rights: Workplace Discrimination is Illegal" poster.

**Data Scientist - Advanced Metering Infrastructure (AMI) Analytics** Alabama Power Company Corporate Headquarters - Birmingham, AL Georgia Power Company Corporate Headquarters - Atlanta, GA Mississippi Power Corporate Headquarters - Gulfport, MS **Job Summary:** The Data Scientist within APC Power Delivery's AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain. **Key Responsibilities:** AI/ML Strategy & Use Case Development - Identify and evaluate AI/ML opportunities aligned with AMI business objectives. - Stay current on emerging technologies and educate the team on their practical applications. **Algorithm Design & Model Optimization** - Develop and refine machine learning models to solve complex problems using enterprise-scale data. - Continuously adopt new tools and techniques to enhance model performance and scalability. **Framework Development & MLOps Integration** - Architect and implement an AMI-specific AI development framework under the AMI Governance Committee. - Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines. **Documentation & Reporting** - Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication. **Collaboration & Mentorship** - Partner with end-users to understand analytical needs and co-create data-driven solutions. - Mentor team members to foster skill development and promote a culture of continuous learning. **Job Requirements: Education & Experience** - Master's degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence. - Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models. **Knowledge, Skills & Abilities:** - Programming & Data Engineering: Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL. - Model Development: Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms. - Cloud & Integration: Experience with Azure-based ML deployment, data migration, and integration across diverse datasets. - Generative AI & LLMs: Familiarity with Generative AI and Large Language Models; hands-on experience is a plus. - Debugging & Optimization: Strong analytical skills for monitoring and troubleshooting data pipelines and solutions. - Communication & Influence: Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels. - Consulting & Collaboration: Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling. - Learning & Adaptability: Self-driven learner with awareness of industry trends and emerging technologies. - Multitasking & Prioritization: Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment. **Behavioral Attributes:** The ideal candidate will embody Southern Company's core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate: - Innovation and results orientation - Strategic thinking with an enterprise mindset - Commitment to continuous improvement and development of others - Strong partnership-building skills - Ability to work independently and collaboratively - Decisiveness and agility - High ethical standards - Being on-site at the HQ office 4 days a week. Alabama Power provides safe, reliable, and affordable electricity to 1.5 million customers across the lower two-thirds of Alabama. For more information, visit ******************** and connect with the company on Facebook (Facebook.com/AlabamaPower), Twitter (Twitter.com/AlabamaPower), LinkedIn (Linkedin.com/company/alabama-power), and Instagram (Instagram.com/alabamapower). Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit *********************** . Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here **************************************************** . Additional and specific details about total compensation and benefits will also be provided during the hiring process. Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. Job Identification: 16309 Job Category: Data Analytics Job Schedule: Full time Company: Alabama Power

Job Title: Data Scientist Company: Georgia Power We are seeking applicants who demonstrate a combination is soft skills and technical skills. Client relationships, collaboration, communication, and effort to learn the business are essential to success. From technical perspective, we are looking for applicants who have experience with machine learning, advanced analytics, coding, cloud and on-premise environments, and a variety of data sources. This role focuses on supporting various departments across Customer Services, Customer Solutions, Business Development, Corporate Communications, and others. Data Scientist performs advanced and descriptive analytics that lead to better customer experience, increased operational efficiencies, and improved business profitability. This role is responsible for discovering business insights using statistics, machine learning, and visualization techniques. Apply today and take the next step in your career with Data Science! JOB REQUIREMENTS: A bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is required A master's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is preferred 4+ years of hands-on experience with data and analytics; with progressively increased level of responsibility Experience querying data from various data sources Proficient with one or more programming languages used for analytics, preferably Python and SQL Experience with Databricks is desired, but not required Working knowledge of predictive modeling techniques, such as linear regression, decision trees, clustering, neutral networks, etc. and experience using these methods to address real-world business challenges Strong interest in AI and aptitude to learn how to develop AI solutions for Customer Experience organization Experience developing dashboards in Power BI or a comparable visualization platform Written communication skills and experience summarizing key insights in concise emails, executive summaries, and presentations Verbal communication skills and experience effectively presenting analytics insights in practical terms to non-technical business audience Experience managing and prioritizing multiple projects simultaneously Ability to effectively collaborate in highly cross-functional work environment, engage diverse stakeholders, ask questions to understand client needs, and partner with colleagues across different teams Behaviors rooted in our corporate values: Safety First, Intentional Inclusion, Act with Integrity, Superior Performance MAJOR JOB RESPONSIBILITIES: Build relationships with internal clients to understand their goals, processes, and challenges Promptly respond to requests from internal clients, understand their business questions, and perform analytics to meet their business needs Fulfil high volume of ad-hoc analytics requests Proactively suggest advanced analytics solutions to clients Write programs to pull data from various data sources Identify, gather, and prepare data for your projects Analyze structured (quantitative) and unstructured (text, voice recordings) data Develop and deploy machine learning models Create dashboards that automatically pull data from various data sources Summarize key insights from your analytics projects and provide conclusions and recommendations Produce analytics to enhance customer experience, improve energy affordability, and support sustainable growth Quantify effect of various programs and initiatives on customer energy usage, call volume, payment behaviors Provide insights on how our customers interact with our company across various channels in effort to improve customer service performance, optimize channels and programs Enable personalization and communications based on customer data Provide analytics to increase enrollment in energy efficiency, renewables, electric transportation, and other programs. Develop analytics to help grow unregulated net income Provide analytics to optimize operations that deliver regulated and unregulated solutions to customers Establish external and internal relationships to share best practices in data science, stay abreast of industry trends and emerging technologies Continuously learn new data sources, new platforms, and new methods. Demonstrate curiosity and creativity in the rapidly evolving world of data and AI.

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a Fortune 500 company that's leading the charge in the global energy revolution. With operations spanning 14 countries, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the Top Ten Best Workplaces for Innovators by Fast Company in 2022. And with our certification as a Great Place to Work, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas. AES is proudly ranked #1 globally in renewable energy sales to corporations, and with $12.7B in revenues in 2023, we have the resources and expertise to make a significant impact as we provide electricity to 25 million customers worldwide. As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as 24/7 carbon-free energy for data centers, are setting the pace for rapid, global decarbonization. If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation. Position Summary The Junior Data Scientist will support AES's US Utilities operations by applying data science techniques to improve grid reliability, customer experience, and operational efficiency. This entry-level role is ideal for candidates passionate about solving real-world energy challenges through data exploration, predictive modeling, and cross-functional collaboration. You'll work alongside our team of experienced data scientists, data analysts, data architects and engineers, and data governance experts to deliver insights that drive smarter decisions and accelerate the future of energy. Key Responsibilities Work cross-functionally within the team of data scientists, data architects & engineers, machine learning engineers, data analysts, and data governance experts to support integrated data solutions. Collaborate with business stakeholders and business analysts to define project requirements. Collect, clean, and preprocess structured and unstructured data from utility systems (e.g., meter data, customer data). Perform exploratory data analysis to identify trends, anomalies, and opportunities for improvement in grid operations and customer service. Use both traditional machine learning methods and generative AI tools to create predictive models that solve utilities-focused problems, particularly in the customer space (e.g., outage restoration, customer program adoption, revenue assurance). Present data-driven insights to internal stakeholders in a clear, concise manner, including visualizing data to provide predictive insights and drive decision making. Document methodologies, workflows, and results to ensure reproducibility and transparency. Be a champion of data and AI at all levels of the AES US Utilities organization. Stay current with industry trends in utility analytics and machine learning. Qualifications Must Have Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or Ph.D. is preferred. 5 years of experience in a data science or analytics role. Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc. Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn. Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc. Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows. Proficiency in SQL, with experience writing complex queries and working with relational data structures. Google BigQuery experience is preferred, including the use of views, tables, materialized views, stored procedures, etc. Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects. Experience integrating Git with CI/CD pipelines to automate testing and deployment is preferred. Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker). Strong analytical thinking and problem-solving skills. Excellent communication and storytelling abilities. Experience with cloud computing platforms (GCP preferred). Ability to manage multiple priorities in a fast-paced environment. Interest in learning more about the customer-facing side of the utility industry. Nice to Have Experience in the energy and/or utilities sectors. Understanding of utility-specific data sources (e.g., SCADA, CIS, GIS). Familiarity with SAP (especially IS-U and ERP modules). Exposure to data governance tools (e.g., enterprise data catalog and data quality tools). Physical Responsibilities Ability to sit or stand for extended periods while working at a computer. Capable of walking through office environments and occasionally visiting field or operational sites. Must be able to communicate effectively with colleagues in person, via video conferencing, and through written formats. Occasional travel may be required to attend meetings or support project work. Valid driver's license may be required depending on team assignment. AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

NOV is a leading provider of technology, equipment, and services to the global oil and gas industry that supports customers' full-field drilling, completion, and production needs. Since 1862, NOV has pioneered innovations that improve the cost-effectiveness, efficiency, safety, and environmental impact of oil and gas operations. We're continually pushing our own standards higher to deliver the safest, most efficient, and most reliable drilling solutions in the world. Join us as we continue to power the industry that powers the world. NOV Rig Technologies makes and supports the world's most advanced drilling solutions. To learn more about Rig Technologies products and services, please visit us at *************************************************** Business Data Scientist The Business Data Scientist will develop and deliver advanced analytics and machine learning models to support business performance, strategic decision-making, and operational optimization across the organization. This role leverages diverse data sources such as ERP, CRM, and macroeconomic data, utilizing Python and Snowflake to generate actionable insights that drive revenue growth and improve bottom-line results. Responsibilities include building predictive models, managing large-scale data processing, and maintaining dashboards and visualizations with Power BI. The position requires collaboration with cross-functional teams and participation in data governance, along with a strong technical background in modern analytics tools and methods. Job Description PRIMARY RESPONSIBILITIES Develop and deliver advanced analytics to support business performance, strategic decision-making, and operational optimization across the organization. Leverage ERP, CRM, and external macroeconomic data to generate actionable insights for leadership and cross-functional teams. Build predictive analytics and segmentation models to support business growth initiatives, increase revenue, and enhance bottom-line performance. Design, implement, and deploy machine learning models to solve complex business problems and uncover actionable insights that support business growth and profitability. Develop and maintain dashboards and reporting tools to monitor key business metrics and performance indicators. Conduct data mining, statistical analysis, and data visualization to identify trends, opportunities, and areas for business process improvement. Collaborate with stakeholders across departments to drive adoption of analytics and data-driven changes in business practices. Participate in and support Data Governance initiatives to ensure the quality, consistency, and effective use of enterprise data. Design and deliver reports and metrics that demonstrate business performance, efficiency, and progress toward organizational goals. Assist in developing and implementing systems and process improvements within operational and strategic business areas. Document requirements and support change management for process improvements. Ensure compliance with company objectives, HSE, and quality standards. EDUCATION & EXPERIENCE QUALIFICATIONS Master's degree preferred in Data Science, Mathematics, Computer Science, Economics, Statistics, Business, Industrial Engineering, or a related field. 5+ years of experience in data science, analytics, business analysis, or a related discipline, ideally in a manufacturing, industrial, or similarly complex environment. Demonstrated expertise in developing analytics that drive revenue growth, cost reduction, and improved bottom-line performance. Experience with machine learning methods and frameworks for predictive modeling, classification, clustering, and optimization. Experience with ERP and CRM systems, relational databases, and modern analytics tools (e.g., Python, R, SQL, or other scalable packages). Strong proficiency with Snowflake as a data platform and Power BI for data visualization and dashboard creation. Experience with large, multi-dimensional data sets and business intelligence software. Proven success in a collaborative, team-oriented environment. JOB REQUIREMENTS Advanced proficiency in data analysis, automation, and visualization using modern analytics tools and programming languages. Experience using Snowflake for backend data processing, integration, and analytics. Expertise with business intelligence and reporting platforms, particularly Power BI. Experience working with large-scale, distributed data systems and cloud-based data infrastructure. Ability to manage multiple priorities and communicate effectively with stakeholders across business units. Experience with process innovation, change management, and continuous improvement. High degree of business acumen, situational awareness, and the ability to influence and drive cross-functional initiatives. BEHAVIORAL COMPETENCIES Action-oriented, goal-driven, and agile, with a clear analytical mindset. Excellent interpersonal, listening, oral, and written communication skills. Strong problem-solving skills, both independently and within teams. Ability to build consensus and influence stakeholders to drive data-driven business improvement.

The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market. Quantitative Analytics & Research Analyst The energy landscape is evolving, and so are the challenges our Clients face. TEA's Quantitative Analytics & Research team is looking for an innovative and analytical mind to help transform complex market trends into cutting-edge solutions. If you're passionate about machine learning, optimization, and statistical modeling and thrive in a fast-paced environment where curiosity meets impact, this is your opportunity to make a difference! Why You'll Love This Role: Build models that drive the future of energy markets and empower clients to make smarter, data-driven decisions. Work alongside a collaborative team of data scientists and industry experts who thrive on tackling complex challenges. Explore new ideas, experiment with innovative solutions, and see your work deliver impact across a wide range of clients. What You'll Do: Clean, transform, and validate structured and unstructured data to ensure data quality and reliability. Maintain existing machine learning and optimization models, updating them as needed. Research and experiment with new methods to enhance current models as well as develop new solutions. Collaborate with cross-functional teams to maintain data pipelines. Collaborate with cross-functional teams to understand the business requirements and deliver solution effectively. Document workflows, methodologies, and data sources to ensure transparency and reproducibility. What You Bring to the Team: Passion for analytics and problem-solving with a drive to find meaningful insights in complex data. Strong skills in machine learning, predictive modeling, and optimization techniques such as regression, neural networks, and feature engineering. Solid understanding of electricity markets, including economic dispatch, marginal pricing, and market clearing rules. Proficiency in R or Python, with a working knowledge of web design (HTML, CSS, JavaScript, R-Shiny),Stochastic approach, and database queries. Your Growth Path at TEA: Level 1 Data Scientist: Operate and maintain models, gaining hands-on experience with TEA's tools and industry functions. Level 2 Data Scientist: Design and refine analytical models, assess their effectiveness, and contribute to cutting-edge solutions. Level 3 Data Scientist: Provide strategic insights, manage projects, and support TEA's business development initiatives. Level 4 Senior Data Scientist: Serve as a subject matter expert, mentor team members, and lead high-impact initiatives. What You Need to Succeed: Bachelors and/or Masters in Data Science, Computer Science, Engineering or other relevant field. Industry experience in analyzing data, maintaining and developing models is preferred. Proficiency in programming languages Python or R. Strong foundation in the following subjects: statistics, machine learning, and optimization. Background in energy and power systems is preferred. Eagerness to learn, receive feedback, and grow technical depth. Strong problem-solving and analytical thinking. Good communication skills; ability to understand the requirements and present the results to stakeholders. Tools & Technology You'll Work With: Microsoft Word, Excel/Visual Basic, and other advanced analysis tools. Large-scale utility simulation software such as PROMOD, PLEXOS, AuroraXMP, GE Maps, Dayzer, PSS/e, and PowerWorld. Decision analysis techniques such as decision trees and influence diagrams. Compensation & Benefits: Competitive Salary: Based on experience, level and location. Incentives: Annual target short-term incentive rate of 17.5% of base salary based on corporate, team, and individual performance. Benefits: Paid Time Off starting at 17 days per year, plus nine paid holidays. 401(a) employer contribution and 457(b) deferred compensation retirement savings plans. Medical, dental, vision, life, AD&D, and disability insurance. Health savings and flexible spending accounts. A great work-life balance and visibility to senior executives in a supportive company culture. TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve. TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA's founding entrepreneurial spirit by seizing opportunities to deliver value. If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It's YOUR Future. It's OUR Future.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world's largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. Overview We are seeking a Data Scientist to join our Technol Oversight Coord Business Support Division - Digitalization & Analytics Group. The Digitalization & Analytics Group is responsible for driving business excellence by leveraging data-driven insights to optimize operations and inform strategic decision-making. As a key function within the organization, the Digitalization & Analytics Group is dedicated to advancing digitalization, seeking to enhance overall performance by digitalizing, automating and connecting various business processes, leveraging advanced technologies, and integrating AI capabilities to uncover new insights. Your primary role is to leverage your expertise to enhance data visualization and interpretation, ensuring stakeholders and decision-makers have access to critical insights. Additionally, you will employ AI modeling and integration techniques to extract meaningful patterns and predictions from vast datasets, empowering informed decision-making and driving organizational success. Key Responsibilities As a successful candidate you will be required to perform the following: Automate and digitalize the organization's business processes Develop and deploy AI-powered tools capable of understanding natural language queries related to the business data Create Dashboards (i.e. Data Visualization) using multiple platforms available in the market Provide support in maintenance, customization and integration of existing dashboards, digital solutions and websites with Corporate Solutions. Perform business analytical prediction modeling using existing data to support in decision making. Collaborate with stakeholders to develop data-driven business cases to support strategic initiatives, investments, and resource allocation decisions. Minimum Requirements You will hold a Bachelor's degree in a Computer Science, Mathematics, Computing, Data Science or AI. You will have a min of 5 years' experience in related field You will have advanced programming proficiency in languages such as Python, SQL, PowerQuery, JavaScript. Work Location and Work Schedule Work location: Within Saudi Arabia - To be specified in Job offer Work schedule: Full Time - To be specified in Job offer Job Posting Duration Job posting start date: 12/17/2025 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world's largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. Overview We are seeking a Data Scientist to join our Technol Oversight Coord Business Support Division - Digitalization & Analytics Group. The Digitalization & Analytics Group is responsible for driving business excellence by leveraging data-driven insights to optimize operations and inform strategic decision-making. As a key function within the organization, the Digitalization & Analytics Group is dedicated to advancing digitalization, seeking to enhance overall performance by digitalizing, automating and connecting various business processes, leveraging advanced technologies, and integrating AI capabilities to uncover new insights. Your primary role is to leverage your expertise to enhance data visualization and interpretation, ensuring stakeholders and decision-makers have access to critical insights. Additionally, you will employ AI modeling and integration techniques to extract meaningful patterns and predictions from vast datasets, empowering informed decision-making and driving organizational success. Key Responsibilities As a successful candidate you will be required to perform the following: Automate and digitalize the organization's business processes Develop and deploy AI-powered tools capable of understanding natural language queries related to the business data Create Dashboards (i.e. Data Visualization) using multiple platforms available in the market Provide support in maintenance, customization and integration of existing dashboards, digital solutions and websites with Corporate Solutions. Perform business analytical prediction modeling using existing data to support in decision making. Collaborate with stakeholders to develop data-driven business cases to support strategic initiatives, investments, and resource allocation decisions. Minimum Requirements You will hold a Bachelor's degree in a Computer Science, Mathematics, Computing, Data Science or AI. You will have a min of 5 years' experience in related field You will have advanced programming proficiency in languages such as Python, SQL, PowerQuery, JavaScript. Work Location and Work Schedule Work location: Within Saudi Arabia - To be specified in Job offer Work schedule: Full Time - To be specified in Job offer Job Posting Duration Job posting start date: 12/17/2025 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.

Telemetry Data Scientist / Real-Time ML Engineer Division: DATUM, Impac Exploration Services Type: Full-Time or Contract Build Models That Run at 10,000 Feet Per Second We're not looking for someone to build another dashboard. We're looking for someone who sees streaming sensor data and thinks "I could predict that failure 30 seconds out." DATUM is where industrial operations meet cutting-edge ML. We're streaming terabytes of WITS telemetry from drilling operations-pressure, torque, vibration, flow rates-all live from assets worth millions per day. This isn't historical analysis. This is real-time ML where your models make decisions while the drill bit is turning. Here's what makes this interesting: The physics are unforgiving. The data is messy. The stakes are real. And when your anomaly detection prevents a catastrophic failure at 10,000 feet? That's the kind of win that gets noticed-by operators, by industry, and yeah, by recruiters from places you've dreamed about working. What You'll Actually Build Streaming ML pipelines that process millions of sensor readings per minute Anomaly detection that understands the difference between "weird but fine" and "stop everything now" Predictive models that see patterns in vibration harmonics humans miss Real-time feature engineering on streams that never stop Decision systems that earn trust from people who've been reading these signals since before you were born Technical Reality Check Core stack: Streaming: Kafka/Pulsar, Flink/Spark Streaming, or River (bonus if you've pushed these to their limits) ML Ops: MLflow, Weights & Biases, or Kubeflow-because models in notebooks don't save rigs Time Series: Prophet, LSTM/GRU implementations, or custom architectures for sequential data Languages: Python (NumPy, Pandas, Scikit-learn) + SQL + whatever else gets the job done Deployment: Docker, Kubernetes, edge computing frameworks Monitoring: Grafana, Prometheus, or custom solutions-because you can't fix what you can't see Nice to have: Physics-informed neural networks or domain-aware ML Experience with industrial protocols (OPC-UA, MQTT, Modbus) Edge computing / model optimization for embedded systems That one project where you made TensorFlow run somewhere it shouldn't You're Our Person If You've built something real-time that stayed up when it mattered Sensor fusion excites you more than computer vision You can explain Kalman filters and gradient boosting to a drilling engineer You've debugged model drift at 3 AM because production doesn't sleep "It works in my notebook" isn't in your vocabulary Even Better If You've touched industrial systems, IoT, or anything with real sensors Built telemetry systems for fun (racing sims, drone projects, even elaborate Raspberry Pi setups) Contributed to time-series or streaming ML libraries You understand that 99.9% uptime means 8.76 hours of downtime per year-and that's too much The Culture Small team. Big problems. No bureaucracy. We move fast, ship faster, and celebrate when our work is so good that other companies try to poach you. You'll have the compute you need, the freedom to experiment, and colleagues who push you to be better. Fair warning: This isn't a "set it and forget it" role. When a $100M operation depends on your model, you'll feel it. But when your algorithm catches something nobody else saw? That feeling is addictive. Why This Matters While everyone else fights over chatbot improvements, we're building ML for the physical world. Energy is complex, consequential, and desperately needs fresh thinking. Come help us prove that the best telemetry systems don't just live at race tracks-they're 10,000 feet underground, running 24/7, keeping people safe and operations efficient. Ready to build ML that matters? Let's talk. We are not sponsoring visas or participating in CPT programs at this time.