BillingPlatform is an industry-leading, fast-growing SaaS company. Our award-winning, cloud-based revenue lifecycle management platform is leveraged by leading global enterprises to automate and streamline the entire quote-to-cash process. At BillingPlatform, our employees are our most valuable asset, and we believe deeply in a culture of collaboration, accountability, innovation, and transparency. We seek bright, enthusiastic, and creative professionals looking to be part of our incredible team focused on challenging the status quo and driving transformational value to customers.
Backed by leading private equity firms, FTV Capital and Columbia Capital, we have achieved remarkable industry recognition for growth including being listed for four consecutive years on Deloitte’s Technology Fast 500™ list of fastest growing technology companies and ranked on the Inc 5000 list for three years running.
Our ability to innovate market-leading solutions has been validated by all major industry analyst firms, including being recognized as the Leader in Forrester’s “The Forrester Wave™: SaaS Recurring Billing Solutions,” earning the highest overall rating in the MGI 360™ Ratings Report for Agile Billing, ranked as the Overall Leader and an “Exemplary Vendor” in Ventana Research’s Subscription Management Value Index report, and positioned as the Leader in Quadrant Knowledge Solutions SPARK Matrix™ Report for Subscription and Billing Management. We were also honored by Best in Biz Awards for the fourth consecutive year and by SIIA as the Best Subscription Billing Solution in the 2023 CODiE awards. To learn more about us, visit billingplatform.com.
We are seeking a talented Data Scientist to join our growing team. In this role, you will leverage your expertise in data analysis, AI and machine learning, and cloud computing to tackle challenging problems and unlock the power of data. You will have the opportunity to work on a diverse range of projects, utilizing both GCP and AWS to design, implement, and deploy data-driven solutions. Furthermore, your knowledge of cloud administration and maintenance will be instrumental in ensuring the smooth operation and performance of these critical platforms.
Responsibilities:
- Collaborate with cross-functional teams (Engineering, Product, Business) to understand data needs and define project goals.
- Design and conduct exploratory data analysis to uncover patterns and trends.
- Develop and implement machine learning models using AI and machine learning techniques and GCP and AWS services (e.g., BigQuery, SageMaker, AI Platform).
- Clean, transform, and prepare data for analysis using tools and techniques appropriate for cloud platforms.
- Evaluate and interpret model results, communicating insights effectively to technical and non-technical audiences.
- Stay up-to-date on the latest advancements in AI, machine learning, and cloud technologies.
- Demonstrate knowledge of AWS and GCP administration and maintenance, including resource provisioning, security configuration, and performance optimization.
- Document work clearly and concisely.
Requirements
- Master's degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience).
- Strong experience in AI and machine learning techniques, including model development, training, and evaluation.
- Proficiency in programming languages such as Python, R, and SQL.
- Experience building AI/ML solutions in both GCP and AWS.
- Knowledge of AWS and GCP administration and maintenance, including resource provisioning, security configuration, and performance optimization.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
Benefits
- Join one of the fastest-growing companies in the United States
- Discretionary and charitable time off program
- Ability to work fully remote
BillingPlatform provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.
United States
