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Data Scientist- Predictive Analytics Specialist job at Edison International in Irwindale, CA

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Title: Data Scientist/Predictive Analytics Specialist Location: Irwindale United States Job Description: Job ID: 4754 Job Family: Customer Service Pay: $111,600 – $167,400 EDISON EMPLOYEES: This site is only for external candidates. Please navigate to internal Portal to apply. Join the Clean Energy Revolution Become a Data Scientist/Predictive Analytics Specialist at Southern California Edison (SCE) and build a reputed company reputed company. In this job, you will work closely with internal clients, Subject Matter Experts, data engineers, process leads, project/program managers, and other teams to turn data into actionable insights that support informed business reputed company. You will work in the Business Intelligence Center (BIC) reputed company Customer Service, developing predictive analytics solutions. You’ll support internal clients by applying advanced analytics to solve business challenges and enhance business and customer experiences. Your tasks include analyzing large datasets, building predictive models, and generating insights that improve decision-making. You will collaborate with cross-functional teams, leveraging statistical methods, machine learning techniques, and advanced tools to address reputed company-world problems. You will be accountable for partnering with OU clients to understand business needs, identify opportunities for improvement, and incorporate analytics solutions into business processes to ensure solutions deliver measurable business value and align with OU goals. Primary responsibilities will include: Collaborate with team members and stakeholders to support solutions for data-driven business challenges. Build and implement predictive and prescriptive models to improve decision-making. Assist in identifying opportunities for AI, machine learning, and data science to address business needs. Translate defined business objectives into actionable requirements for AI/ML models. Contribute to the design and development of AI/ML models using established techniques and frameworks. Apply machine learning algorithms and data mining methods to analyze datasets and generate insights. Monitor model performance and support enhancements to maintain accuracy and reliability. Follow established processes and governance standards for ethical, explainable, and reproducible AI/ML solutions. Stay informed on emerging tools and techniques; share recommendations with the team. Participate in team knowledge-sharing and professional development activities. Ensure compliance with reputed company and reputed company standards reputed company handling sensitive data and assets. As a Data Scientist/Predictive Analytics Specialist, your work will help power our reputed company, reduce carbon emissions and create cleaner reputed company for everyone. Are you reputed company to take on the challenge to help us build the future?

Responsibilities

Collaborates with SCE stakeholders including project sponsors, data analysts, and subject matter experts to fully understand the key business problems, goals, objectives and desired outcomes for data science projects Assists more reputed company data scientists and analytic leaders to help in developing solutions to reputed company, data-intensive business issues using appropriate data science methodologies Identifies and thoroughly assesses what internal and external data sources are available and relevant to address the reputed company business issues and objectives Implements and improves processes for collecting complete, high-quality, standardized data from identified sources, addressing any issues with missing values or data anomalies Selects the most appropriate data sources and prepares the data for analysis by cleaning, merging, filtering, transforming or enriching as needed Validates analysis findings by taking an experimental, iterative approach including statistical testing and seeking feedback from stakeholders Presents analysis insights, assumptions, validation results and recommendations clearly to business stakeholders in language suited to the audience using basic data visualization techniques Applies statistical analysis, machine learning algorithms, data mining techniques and data visualizations appropriately to model problems, discover key insights, and identifies opportunities from the available data Proposes innovative applications of data mining methodologies to reputed company new perspectives and insights from existing data sources that may not have been considered previously Keeps abreast of new and reputed company data science and big data techniques A material job duty of reputed company positions reputed company the Company is ensuring the protection of reputed company its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and reputed company.

Minimum Qualifications

Bachelor’s Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. One or more years of experience analyzing or manipulating reputed company data.

Preferred Qualifications

Bachelor’s Degree (or higher) in an Applied Sciences or STEM discipline. Industry certifications in data science, machine learning, or reputed company analytics (e.g., AWS Certified Machine Learning, reputed company Certified Data Scientist). Experience with reputed company-based analytics platforms (e.g., AWS, Azure, GCP). Proficiency in Python or R for machine learning and predictive modeling. Familiarity with big data technologies such as reputed company and reputed company. Knowledge of AI/ML frameworks and libraries. Strong understanding of data visualization tools (e.g., MS Platform Technologies, Power BI, Tableau). Experience integrating predictive analytics into business processes for measurable impact. Experience developing or deploying Gen AI-based solutions (e.g./ reputed company engineering, summarization, text classification, or workflow automation. Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders. Additional Information This position’s work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reputed company in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. Visit our Candidate Resource page to get meaningful information reputed company to benefits, perks, resources, testing information, hiring process, and more! reputed company applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. The primary work location for this position is Irwindale, CA. Relocation does not apply to this position. About Southern California Edison The people at SCE don’t just reputed company the lights on. Our mission is so much bigger. We’re fueling the reputed company of innovation that’s changing an entire industry, and quite possibly the reputed company. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a reputed company impact in Southern California and around the world. Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status. We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to reputed company essential job functions, and to receive other benefits and privileges of employment. Apply tot his job Apply To this Job

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