Associate Manager, Data Science

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 JR108097

Genesys Cloud Services, Inc. seeks Associate Manager, Data Science in Menlo Park, CA. **Telecommuting allowed for this position.**

Job description as advertised: Assist Sr. Manager/Director in leading and mentoring the data science and machinelearning team, fostering a collaborative and productive environment. Oversee data science and machine learning projects, ensuring they are completed on time and meet quality standards. Work with product managers, data engineers, and other stakeholders to understand their data needs and support the integration of data-driven and machine learning solutions into products and services. Design and build AI/ML platform to automate predictive and prescriptive models training and validation and run data science use cases at scale. Work closely with Software and Data Engineer to deploy data science prototypes in production. Ensure the availability, quality, and security of data used in data science and machine learning projects. Establish metrics to evaluate the performance and impact of data science and machine learning models, and implement improvements as needed. Monitor and validate the algorithms and ensure that they generate accurate results. Develop A/B testing framework and test model quality. Document machine learning processes, prepare and present reports on data science and machine learning projects and their outcomes to stakeholders. Keep abreast of developments in machine learning and AI fields, suggest improvements to existing processes and tools based on the latest trends and technologies in data science and machine learning. Ensure AI/ ML solutions meet Genesys AI ethics, modeling guidelines and standards. Understand and comply with PCI, HIPAA, and GDPR. Adhere to Genesys Code of Business Conduct and Ethics. Telecommuting allowed for this position.

Minimum Qualifications: The position requires a Master's degree in Data Science, Machine Learning, Computer Science, Mathematics, Statistics, Software Engineering, or a related field of study. Employer will accept knowledge gained through any education, work/internship, training, or coursework.:

• Building highly scalable and automated predictive model and ML pipelines.
• Map, Reduce, Hadoop, and Spark.
• AI/ML frameworks, generative AI, or large language models (LLMs).
• Data structures, data modeling, and software and data architecture.
• Java, Python, or C+++.
• Designing and building highly scalable data and AI ML solutions in production environment.

Telecommuting allowed for this position.

Salary range: $142,000 to $162,000 annually.

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.

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. Visitwww.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 HR@genesys.com. 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 andveteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.