United States onlyAbout Rev.io
Rev.io provides configurable software for billing, customer management, business management, payments, analytics, provisioning, and automation to service providers in telecommunications, Wireless & IoT, managed IT services, A/V, security integration, and other related industries. Our modern, cloud-based software delivers the industry’s most complete quote-to-cash experience, enabling our clients to grow their revenue efficiently.
Rev.io is an Atlanta-based company with offices in Atlanta and West Virginia. We have more than 21 years in business serving our clients. While we are very experienced in what we do, we are still growing rapidly, and we are looking for exceptional people who are excited to join us on a career-defining journey.
In all of our daily work, each of us is guided by our mission, vision and “ACT TOP” values.
Our Mission: To help clients grow revenue efficiently.
Our Vision: To be the best billing & back-office software company in the world by providing innovative solutions and extraordinary service to our clients and end users.
Our ACT TOP Values:
- Achieving Extraordinary Results: Doing more than expected and pursuing a higher standard of work without compromising your job responsibilities.
- Caring For Employees, Clients and Community: Demonstrating empathy and concern by helping those who are most in need.
- Take Responsibility and Act Like An Owner: Being accountable and doing the right thing even when no one is watching.
- Transparent Leadership: Communicating openly, regardless of title or situation.
- Opportunity To Make a Positive Difference: Recognizing situations and taking action to produce a better outcome.
- Passion For Innovation: Enthusiastically finding new solutions to improve efficiency.
In a recent national survey, 97% of our employees agreed that Rev.io is a Great Place to Work compared to 57% agreement at comparable US-based companies, Rev.io stands out as a place where team, values and culture combine to create an amazing work environment!
About The Role: We are seeking a highly skilled Data scientist to join our team and drive cutting-edge innovations in machine learning, deep learning, and natural language processing (NLP) applications. This role will focus on building and optimizing machine learning models and AI systems that support key business functions. You will work closely with cross-functional teams including Finance, Marketing, Client Success, and Product teams to transform business challenges into actionable insights.
The Data scientist will report directly to the Engineering Manager, and will work closely with the Engineering team, and other technology leaders to ensure that existing and new data solutions follow best practices and are highly performant.
PURPOSE STATEMENT
The Data scientist will play a pivotal role in developing and applying machine learning models, NLP techniques, and deep learning methods to solve complex business problems. The role will focus on innovation, scalability, and the integration of AI-driven solutions into business processes. You will be responsible for designing, implementing, and optimizing solutions that deliver measurable business impact through advanced analytics, experimentation, and predictive modeling.
- Develop and implement Azure machine learning models for business applications such as forecasting, segmentation, conversion scoring, churn prediction, and scheduling optimization
- Design, validate, and optimize AI-driven solutions using machine learning, NLP, and generative models to support business decision-making processes
- Train, validate, and iterate on models to ensure optimal performance and alignment with business goals
- Collaborate with cross-functional teams to understand business needs and transform them into actionable analytical frameworks
- Lead the development and deployment of machine learning models, ensuring scalability, performance, and reliability
- Fine-tune and optimize AI models to improve accuracy and efficiency
- Conduct experiments and apply non-experimental methods to quantify the impact of AI solutions
- Utilize statistical methods such as probability, regression analysis, and hypothesis testing to enhance model performance
- Communicate technical findings, insights, and recommendations to both technical and non-technical stakeholders
- Manage end-to-end development of analytic and predictive models with minimal supervision, ensuring quality and timely delivery
- Stay up-to-date with advancements in AI technologies, machine learning, and deep learning to continuously improve solutions
Requirements:
- Education: Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience
- Experience: 3+ years of experience working with Azure Machine Learning Services/Studio
- Expertise in data cleansing, feature engineering, model training and testing, and MLOps
- Experience using libraries such as pandas, NumPy, scikit-learn, and TensorFlow
- Strong programming skills in Python or R, with a focus on model training and integration
- Experience with classification, regression, and NLP best practices
- Familiarity with AI deployment pipelines and cloud-based solutions, specifically Azure
- Strong understanding of model performance, optimization, and scalability
- Excellent problem-solving skills with a demonstrated ability to innovate and troubleshoot complex issues
- Strong communication skills, with the ability to translate technical information to non-technical audiences
Benefits and Perks:
- Generous HSA employer contribution
- 401k with generous company match and immediate vesting
- Unlimited PTO
- Paid Parental Leave
- Company paid for life and disability insurance
- Monthly tech reimbursement
- Monthly fitness reimbursement
- Education and development stipend
- Time off to volunteer at the organization of your choice, as well as company-level volunteer opportunities
- Clear and documented career path for your position
- True open-door policy with opportunities to give feedback to leadership on a continual basis through 1:1 sessions multiple times per year
At Rev.io no employee or applicant will be treated less favorably on the grounds of their sex, marital status, race, color, nationality or ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, or religion or belief. By clicking submit below, you consent to allow Rev.io to store and process the personal information submitted above.
