Data Scientist

About the Company

It's fun to work in a company where people truly believe in what they're doing! At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.

Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.

About the Role

The Data Application Engineer is responsible for building and maintaining python-based applications. Our engineers build, integrate and deploy microservices in GCP Kubernetes they will also create and maintain REST API end points in GCP.

Responsibilities

• Proactively drive solutions to open-ended problems in a timely manner.
• Work independently to research and solve business and technical problems.
• Plan their work individually and as part of a team.
• Responsible for building and maintaining machine learning models, data pipelines, and associated maintenance processes.
• Collaborate with product management, cloud, engineering and data science teams to develop a portfolio of high-value AIML services.
• Assess the quality of data as it relates to the ability to solve business problems.
• Prepare data for use with AI/ML capabilities.
• Perform data cleaning and enhancement as is required to achieve a successful solution.
• Lead AI/ML POCs, validating solution approach, methodology, and data processes needed to deliver new capabilities.
• Advocate for Data Science best practices as it relates to solution design and implementation.
• Adhere to ML Ops best practices for building model and data pipelines.
• Build and optimize scalable machine learning solutions in the public cloud.
• Write well-organized, testable code in the implementation of production data science capabilities.
• Proactively collaborate with other team members across the organization.

Qualifications

• MS/PhD in Computer Science or other quantitative disciplines.

Required Skills

• Experience translating business requirements into functional, and non-functional requirements.
• Strong practical experience with machine learning techniques in accounting and financial services industries.
• Expertise in statistics, calculus and multivariate analysis.
• Able to build accurate, robust ML models, their accuracy, cleanliness, reliability.
• Expertise with supervised and unsupervised data science algorithms for clustering, classification, and forecasting.
• Able to differentiate Generative AI from AI Agents.
• Have strong passion for empirical data research for practical applications.
• Ability to communicate complex quantitative analysis in clear, precise, and actionable term.
• Knowledge of data engineering methodologies.
• Able to build Model Ops pipelines.
• Expertise in SQL, Python, Spark.
• Experience with one or both of Tensorflow/PyTorch is a plus.
• Proficiency in one or more of AWS, GCP, or Azure.
• Able to collaborate in a team setting via GIT version control.
• Proficiency using Unix/Linux environments.
• Able to own the product and data science aspects of a project.
• Driven, focused, and works independently towards mutually agreed upon goals.
• Strong written and verbal skills – able to explain the work in plain language.

Preferred Skills

• Previous exposure to cloud technologies, specifically Google Cloud Platform, Google BigQuery, and Google Vertex AI, is a big plus.
• Solid understanding of Go-To-Market strategies and related business concepts.

Pay range and compensation package

BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.

Equal Opportunity Statement

BlackLine recognizes that the ways we work and the workplace itself have shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 2 days a week.