Finance 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.

Summary of Position:

We are looking for an experienced Data Scientist to lead impactful data-driven initiatives across the organization. This role will focus on advanced machine learning, statistical modeling, and process automation to solve complex business challenges, improve operational efficiency, and drive strategic decision-making. The ideal candidate will have expertise in model development, deployment, and interpretation, combined with strong stakeholder communication skills. You will collaborate with cross-functional teams to ensure models deliver measurable business value while mentoring others in advanced data science practices.

Location: US Remote (not limited to the states that the job is tagged to)

Key Responsibilities:

- Model Development and Deployment

• Design, develop, and deploy scalable machine learning models with a focus on reducing technical debt and manual processes.
• Build and optimize time series models for forecasting customer usage, renewal rates, and revenue analytics.
• Ensure models are production-ready, leveraging MLOps best practices for continuous integration and deployment (CI/CD).
• Monitor model performance, identify drift, and implement retraining strategies to maintain accuracy and relevance.

- Data Preparation and Feature Engineering

• Lead efforts in preparing, cleaning, and transforming large datasets, ensuring data quality and consistency.
• Engineer innovative features to enhance predictive accuracy, particularly for time series and customer behavior models.
• Work extensively with finance data to identify business risks, opportunities, and strategic customers.

- Statistical Modeling and LLMs

• Utilize advanced statistical techniques to uncover trends and support non-ML initiatives.
• Apply and optimize large language models (LLMs) to improve inquiry response times, automate processes, and enhance productivity.

- Stakeholder Communication and Insight Generation

• Partner with finance, product, and operational teams to align data science solutions with business objectives.
• Translate complex machine learning outcomes into actionable insights and compelling narratives for both technical and non-technical audiences.
• Effectively communicate with senior leadership, providing improved reporting and insights that drive decision-making.
• Identify and present opportunities for growth and strategies to mitigate business risks.

- Process Automation

• Develop and implement automation solutions to create efficiencies across workflows and reduce operational risks.

Key Qualifications:

• 5+ years of experience in data science roles, with proven expertise in model deployment and integration into production environments.
• Strong proficiency in Python, SQL, and statistical modeling techniques.
• Experience with time series analysis and advanced feature engineering.
• Deep knowledge of MLOps practices and tools for scalable deployment.
• Familiarity with large language models (LLMs) and their applications in automating workflows and enhancing productivity.
• Proven experience working with finance data, forecasting metrics such as customer usage and renewal rates, and conducting revenue analytics.
• Exceptional storytelling and communication skills, with the ability to influence cross-functional teams and senior leadership.
• SaaS experience, particularly in product or sales-focused initiatives, is highly desirable.

What Sets You Apart:

• A track record of reducing technical debt through robust model architecture and deployment strategies.
• Ability to thrive in fast-paced, ambiguous environments and drive measurable business impact.
• Strong collaboration skills and a willingness to mentor others.
• A passion for the future of data science, continuously striving to learn and implement new techniques and technologies.

#LI-Remote

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 equity 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.