Company Summary Statement : As one of the largest investor-owned utility companies in the United States, PPL Corporation (NYSE: PPL), is committed to creating long-term, sustainable value for our 3.5 million customers, our shareowners and the communities we serve. Our high-performing regulated utilities PPL Electric Utilities, Louisville Gas and Electric, Kentucky Utilities and Rhode Island Energy provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation. PPLs companies are also addressing challenges head-on by investing in new infrastructure and technology that is creating a smarter, more reliable and resilient energy grid. We are committed to doing our part to advance a cleaner energy future and drive innovation that enables us to achieve net-zero carbon emissions by 2050 while maintaining energy reliability and affordability for the customers and communities we serve. PPL is a positive force in the cities and towns where we do business, providing support for programs and organizations that empower the success of future generations by helping to build and maintain strong, diverse communities today. Overview: The Data Scientist designs and implements processes and layouts for complex, large-scale data sets used for predictive modeling, data mining and research purposes. They work with the business stakeholders to identify data requirements, and both model and frame business scenarios that are meaningful and impact critical business decisions. MUST HAVE EXPERIENCE WITH GIS TO BE CONSIDERED FOR THIS ROLE. **Please note this position is Remote. Responsibilities: Business Alignment and Thought Leadership:<ul><li>Work with the business stakeholders to identify data requirements.</li><li>Model and frame business scenarios that are both meaningful and impact critical business processes and/or decisions.</li><li>Effectively communicate complex technical data results to target audience.</li></ul>Data Collection and Integration:<ul><li>Parse and manipulate raw, complex data streams to prepare for loading into an analytical tool.</li><li>Perform end-to-end data set identification, development, and implementation.</li><li>Work with Data Analysts / Technologists to support data collection, integration and retention requirements based on the input collected with the business.</li><li>Gather and process data from the Transmission, Distribution, Customer Service, and EU Service functions, and transform them into data products.</li><li>Design and implement statistical data quality procedures around new data sources.</li><li>Develop and implement data set processes and layout.</li></ul>Discovery and Statistical Analysis:<ul><li>Implement data formulation process, including identification of attributes, exploratory data analysis, data transformation, and temporal data structures.</li><li>Perform statistical analyses with both new and existing data sets in statistical packages.</li><li>Understand the use and ability to employ the appropriate algorithms to discover patterns.</li><li>Apply best available practices for artificial intelligence and machine learning.</li></ul>Reporting:<ul><li>Implement ongoing improvements to methods and algorithms that lead to findings, including new information.</li><li>Guide /collaborate with Data Visualization Technologists to visualize and report data findings creatively in a variety of visual formats that appropriately provide insights to the business.</li></ul>Data Governance:<ul><li>Ensure that the information used follows the compliance, access management and control policies of the organization. Physical presence in the office/on-site to engage in face-to-face interaction and coordination of work among direct reports and co-workers. May be assigned an Electric Utilities emergency and storm role. This is a special assignment that comes into play during storms and other emergencies when the company needs to restore power or respond to other issues affecting customer service. This role may necessitate the need to work after-hours, outside of your normal schedule.</li></ul> Qualifications: Basic Qualifications: Data Scientist I<ul><li style="margin-top: 1.05pt;">Bachelors Degree in Data Science, Data Analytics, Computer Science or Mathematics.</li><li style="margin-top: 1.05pt;">Able to understand various data structures and common methods in data transformation.</li><li style="margin-top: 1.05pt;">Excellent pattern recognition and predictive modeling skills.</li><li style="margin-top: 1.05pt;">Experience with object-oriented programming languages such as Python.</li><li style="margin-top: 1.05pt;">Knowledge of industry-leading data quality and data protection management practices.</li><li style="margin-top: 1.05pt;">Proven ability to prioritize and execute tasks.</li><li style="margin-top: 1.05pt;">Highly self-motivated and directed with attention to detail.</li><li style="margin-top: 1.05pt;">Easily adapts to changing circumstances.</li><li style="margin-top: 1.05pt;">Able to understand business goals and strategic priorities.</li></ul>Preferred Qualifications: Data Scientist I<ul><li style="margin-top: .05in;">Two (2) years experience with data mining and statistical analysis</li><li>Experience building and running machine learning algorithms</li><li>Experience supporting fast-changing business organizations</li></ul>Basic Qualifications: Data Scientist II<ul><li>Bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Mathematics or related field related field and 1 year experience with data mining and statistical analysis.</li><li style="margin-top: 0in;">Experience with predictive modeling and machine learning algorithms.</li><li>Able to understand various data structures and common methods in data transformation.</li><li>Experience with object-oriented programming languages such as Python.</li><li>Knowledge of industry leading data quality and data protection management practices.</li><li>Proven ability to prioritize and execute tasks.</li><li>Highly self-motivated and directed with attention to detail.</li><li>Easily adapts to changing circumstances.</li><li>Able to understand business goals and strategic priorities.</li></ul>Preferred Qualifications: Data Scientist II<ul><li style="margin-top: 4.2pt;">Masters degree.</li><li style="margin-top: 1.05pt;">Five (5) years experience with SAS, ETL, data processing, database programming and data analytics.</li></ul>Basic Qualifications: Senior Data Scientist <ul><li>Bachelors Degree in Data Science, Data Analytics, Statistics, Computer Science, Mathematics or related field and 5 years experience with SAS, ETL, data processing, database programming and data analytics.</li><li>Extensive background in data mining and statistical analysis.</li><li>Able to understand various data structures and common methods in data transformation.</li><li>Experience with object-oriented programming languages such as Python.</li><li>Knowledge of industry leading data quality and data protection management practices.</li><li>Proven ability to prioritize and execute tasks.</li><li>Highly self-motivated and directed with attention to detail.</li><li>Easily adapts to changing circumstances.</li><li>Able to understand business goals and strategic priorities.</li><li>Experience with predictive modeling and machine learning algorithms.</li><li>Knowledge of data governance practices, business and technology issues related to management of enterprise information assets, and approaches related to data protection.</li><li>Knowledge of data related government regulatory and emerging trends and issues;</li></ul>Preferred Qualifications: Senior Data Scientist<ul><li>Masters Degree.</li><li>Five (5) years experience with SAS, ETL, data processing, database programming and data analytics.</li><li>GIS Analytics experience.</li></ul>

At Air Products, our purpose is to bring people together to reimagine whats possible, collaborate and innovate solutions to the worlds most significant energy and environmental sustainability challenges. Grow with us as we embark on building tomorrow together by being the safest, most diverse and most profitable industrial gas company in the world. Reimagine Whats Possible We are excited to share our Digital Technology (DT) team is expanding to meet growing business needs across the world. Were making a significant investment in our people and systems to strengthen our digital foundation, drive business optimization, and enable our growth strategies. To this end, we have an immediate opening for a Principal AI/ML Engineer working hybrid out of our Global HQ in Allentown, PA.NATURE AND SCOPE:The Principal Artificial Intelligence / Machine Learning Engineer will be a leader on a team of collaborative, advanced-degreed, highly knowledgeable specialists who apply Data Science to increase productivity at Air Products. You will contribute to AI/ML strategy at Air Products and effectively implement improvement opportunities using AI/ML leading to business success and growth. You will also work with senior business leaders to drive adoption of models you build. This is an exciting and rewarding position which provides exciting growth prospects and the opportunity to solve challenging business problems using your unique skills.PRINCIPAL ACCOUNTABILITIES: Expert practitioner and thought leader in AI, ML, Deep Learning, and related fields Technical leader and mentor within the Data Science Team Learn continuously to stay current on cutting-edge AI/ML technology Identify and understand business problems, define data requirements, formulate, build, and communicate AI/ML solutions concisely Contribute to design and development of MLOps platform Bring Data Science perspective working with Enterprise Architects to develop sound AI/ML cloud solutions Bring Data Science perspective working with Product Management Team to design and create self-service solutions for business clients leveraging products built on the MLOps platform Foster a strong network with business and functional partners to drive AI/ML adoption EXPERIENCE AND QUALIFICATIONS: Position requires a Bachelors, Masters or PhD degree in Artificial Intelligence, Machine Learning, Computer Science, Industrial Engineering, Mathematics, Statistics or related discipline. 5+ years experience in AI/ML 2+ years experience in Deep Learning Expertise using Deep Learning in applications such as image analysis Experience in Generative AI including Large Language Models Excellent communication and interpersonal skills to act as a translator of complex technical topics to simple language with business partners Proven ability to devise strategic plans to energize AI/ML adoption Experience developing complex technical solutions and collaborating with business partners to drive adoption Geographic Information Systems experience is a plus Strong leadership and mentoring skills Ability to work independently and within a team to tackle meaningful problems Travel: 0% to 5% (ex. 1 or 2 conferences in a given year, visit an internal business partner) #LI-Hybrid#LI-DR1#INDCOR Air Products proudly values the skills, dedication, and leadership that Veterans bring to the table. As a Veteran-friendly organization, we actively encourage and welcome Veterans to apply for various roles within our company. We recognize the unique strengths and experiences that veterans contribute, and we foster a workplace that honors your service while providing a platform for professional growth. We are the worlds largest hydrogen producer with over 80 years of industrial gas experience. We are hydrogen and industrial gas experts delivering safe, end-to-end solutions, investing in real, clean energy projects at scale, and driving the industry forward to generate a cleaner future. At Air Products, we work in an environment where we put safety first, diversity is essential, inclusion is our culture, and each person knows they belong and matter. To learn more, visit About Air Products. We offer a comprehensive benefits package including paid holidays and vacation, affordable medical, dental, life insurance and retirement plans. You will be eligible for benefits and also be 100% vested in your retirement benefits on your first day of employment.We are an Equal Opportunity Employer (U.S.). You will receive consideration for employment without regard to race, color, religion, national origin, age, citizenship, gender, marital status, pregnancy, sexual orientation, gender identity and expression, disability, or veteran status.Air Products is committed to working with and providing a reasonable accommodation to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail us at talent@airproducts.com. General application status inquiries are not answered by this mailbox rather youll receive an e-mail directly from our Career Center and/or the Talent Acquisition Specialist.#J-18808-Ljbffrby Jobble

At Air Products, our purpose is to bring people together to reimagine what's possible, collaborate and innovate solutions to the world's most significant energy and environmental sustainability challenges. Grow with us as we embark on building tomorrow together by being the safest, most diverse and most profitable industrial gas company in the world. Reimagine What's Possible We are excited to share our Digital Technology (DT) team is expanding to meet growing business needs across the world. We're making a significant investment in our people and systems to strengthen our digital foundation, drive business optimization, and enable our growth strategies. To this end, we have an immediate opening for a Principal AI/ML Engineer working hybrid out of our Global HQ in Allentown, PA. NATURE AND SCOPE: The Principal Artificial Intelligence / Machine Learning Engineer will be a leader on a team of collaborative, advanced-degreed, highly knowledgeable specialists who apply Data Science to increase productivity at Air Products. You will contribute to AI/ML strategy at Air Products and effectively implement improvement opportunities using AI/ML leading to business success and growth. You will also work with senior business leaders to drive adoption of models you build. This is an exciting and rewarding position which provides exciting growth prospects and the opportunity to solve challenging business problems using your unique skills. PRINCIPAL ACCOUNTABILITIES: <ul><li>Expert practitioner and thought leader in AI, ML, Deep Learning, and related fields</li><li>Technical leader and mentor within the Data Science Team</li><li>Learn continuously to stay current on cutting-edge AI/ML technology</li><li>Identify and understand business problems, define data requirements, formulate, build, and communicate AI/ML solutions concisely</li><li>Contribute to design and development of MLOps platform</li><li>Bring Data Science perspective working with Enterprise Architects to develop sound AI/ML cloud solutions</li><li>Bring Data Science perspective working with Product Management Team to design and create self-service solutions for business clients leveraging products built on the MLOps platform</li><li>Foster a strong network with business and functional partners to drive AI/ML adoption</li></ul> EXPERIENCE AND QUALIFICATIONS: <ul><li>Position requires a Bachelors, Masters or PhD degree in Artificial Intelligence, Machine Learning, Computer Science, Industrial Engineering, Mathematics, Statistics or related discipline.</li><li>5+ years experience in AI/ML</li><li>2+ years experience in Deep Learning</li><li>Expertise using Deep Learning in applications such as image analysis</li><li>Experience in Generative AI including Large Language Models</li><li>Excellent communication and interpersonal skills to act as a translator of complex technical topics to simple language with business partners</li><li>Proven ability to devise strategic plans to energize AI/ML adoption</li><li>Experience developing complex technical solutions and collaborating with business partners to drive adoption</li><li>Geographic Information Systems experience is a plus</li><li>Strong leadership and mentoring skills</li><li>Ability to work independently and within a team to tackle meaningful problems</li><li>Valid Drivers' License and good driving record required.</li><li>Travel: 0% to 5% (ex. 1 or 2 conferences in a given year, visit an internal business partner)</li></ul> #LI-Hybrid #LI-DR1 #INDCOR Air Products proudly values the skills, dedication, and leadership that Veterans bring to the table. As a Veteran-friendly organization, we actively encourage and welcome Veterans to apply for various roles within our company. We recognize the unique strengths and experiences that veterans contribute, and we foster a workplace that honors your service while providing a platform for professional growth. We are the world's largest hydrogen producer with over 80 years of industrial gas experience. We are hydrogen and industrial gas experts delivering safe, end-to-end solutions, investing in real, clean energy projects at scale, and driving the industry forward to generate a cleaner future. At Air Products, we work in an environment where we put safety first, diversity is essential, inclusion is our culture, and each person knows they belong and matter. To learn more, visit About Air Products. We offer a comprehensive benefits package including paid holidays and vacation, affordable medical, dental, life insurance and retirement plans. You will be eligible for benefits and also be 100% vested in your retirement benefits on your first day of employment. We are an Equal Opportunity Employer (U.S.). You will receive consideration for employment without regard to race, color, religion, national origin, age, citizenship, gender, marital status, pregnancy, sexual orientation, gender identity and expression, disability, or veteran status. Air Products is committed to working with and providing a reasonable accommodation to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail us at talent@airproducts.com. General application status inquiries are not answered by this mailbox rather you'll receive an e-mail directly from our Career Center and/or the Talent Acquisition Specialist.

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Data Scientist Jobs in Allentown, PA

Data Scientist I Data Scientist Ii Senior Data ScientistApril 27, 2024

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