We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Operations Research Engineer at Genesys. Location Information: Virtual Office (Virginia), United States. . Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.. Requisition JR107716. Genesys Cloud Services, Inc. seeks Senior Operations Research Engineer in Menlo Park, CA. ** Telecommuting allowed for this position.**. Job Description: Research, experiment, and implement suitable machine learning algorithms and advance statistical models for time series forecasting; Develop algorithm to clean, preprocess, and transform large-scale time series datasets for model training and validation, including but not limited to handling missing data, outliers, and other data anomalies effectively; Perform survival analysis on special events and predict future occurrences of anomalies. Evaluate performance of statistical forecasting models using appropriate error metrics and continuously refine and optimize models based on feedback and real-world performance; Develop and deploy statistical and machine learning models into production environments and integrate them with existing systems; Implement robust monitoring and logging mechanisms to track model performance and detect drift over time; Collaborate closely with cross-functional teams including data scientists, software engineers, and business stakeholders to understand requirements, gather feedback, and iterate on solutions; and Stay up-to-date with the latest advancements in machine learning, time series forecasting techniques, and related fields. Explore new methodologies and technologies to improve forecasting accuracy and efficiency. Telecommuting allowed for this position.. Minimum Qualifications: The position requires a Master’s degree in Business Analytics, Business Administration, or closely related field plus two (2) years of experience in a computer related occupation. Education or work/internship experience must include any amount of experience in the following skills (Employer will accept experience gained concurrently with education): Experience in Advanced Statistical and Data Analysis; Experience in Statistical Model Building; Experience in Advanced R, Python, and artificial intelligence programming languages; Experience in Data mining; Experience in Predictive Analytics; Experience in Machine Learning and Deep Learning; Experience in Cloud Computing and Scalable System; Experience in Big Data and Distributed System; and Experience in Time Series Analysis and Forecasting. Telecommuting allowed for this position.. Salary range: $140,000.00 - $160,000.00. Compensation:. This role has a market-competitive . salary. with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities. . $129,800.00 - $241,200.00. Benefits:. Medical, Dental, and Vision Insurance. . Telehealth coverage. Flexible work schedules and work from home opportunities. Development and career growth opportunities. Open Time Off in addition to 10 paid holidays. 401(k) matching program. Adoption Assistance. Fertility treatments. More details about our company benefits can be found at the following link: . https://mygenesysbenefits.com. If a Genesys employee referred you, please use the link they sent you to apply.. About Genesys:. Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit . www.genesys.com. .. Reasonable Accommodations:. If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to [email protected]. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.. . This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.. .