Sr. Data Scientist

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.

Job Summary

We are seeking a Senior Data Scientist to design, develop, and deliver enterprise-grade AI solutions that address high-impact business challenges. In this role, you will build and customize advanced models, including large language models (LLMs), to deliver predictive and prescriptive insights that are scalable, secure, and compliant with enterprise standards. You will partner closely with engineers and business stakeholders to bring AI capabilities into production systems and customer-facing applications.

At Genesys, we are transforming the customer experience landscape with empathy, AI innovation, and global impact. Joining our team means contributing to solutions that redefine how companies engage with their customers while working in a collaborative, innovative, and mission-driven environment.

About the Team

The Data, Analytics & AI team is a central function that unites practices in Data Engineering, Data Platform and Technologies, Data Analytics, Data Science, Data Product, AI, and Data Governance. We support the enterprise across sales, finance, marketing, customer success, product, and more. Our team partners with core business systems, including Salesforce and Workday, to drive data-driven decision-making across the organization.

Key Responsibilities

• Design, build, and validate machine learning models (classification, regression, forecasting, anomaly detection) for enterprise use cases.

• Customize and fine-tune large language models for domain-specific applications, including summarization, classification, conversational AI, and knowledge extraction.

• Develop predictive and prescriptive models that integrate seamlessly into enterprise decision-making workflows.

• Conduct feature engineering, data enrichment, and exploratory analysis on structured and unstructured datasets.

• Partner with AI/ML engineers to productionize models within the AI services platform.

• Ensure models meet requirements for performance, reliability, scalability, explainability, and compliance.

• Collaborate with platform engineers on model deployment, monitoring, and lifecycle management standards.

• Create evaluation frameworks to measure accuracy, fairness, drift, and business impact of deployed models.

• Work with business stakeholders to identify AI opportunities, define success criteria, and translate requirements into technical solutions.

• Partner with AI application developers to integrate model outputs into end-user applications.

• Contribute to best practices in responsible AI, including bias mitigation, transparency, and ethical usage.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.

• 4+ years of experience in applied data science or machine learning roles within enterprise settings.

• Proficiency in Python and ML/AI frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).

• Demonstrated experience in building and deploying custom ML models at scale.

• Familiarity with LLM customization techniques (fine-tuning, prompt engineering, embeddings-based retrieval, adapters).

• Strong background in data wrangling and pipelines (SQL, Spark, Pandas) with large, diverse datasets.

• Solid knowledge of model evaluation methods and ability to communicate results to technical and non-technical audiences.

Preferred Qualifications

• Experience with enterprise-grade deployments (MLOps pipelines, monitoring, compliance frameworks).

• Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).

• Familiarity with cloud platforms (AWS, Azure, GCP) and distributed ML systems.

• Exposure to data governance, privacy, and regulatory requirements.

• Strong record of applied research, innovation, or contributions to open-source ML/AI projects.

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 your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

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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.