Get to Know Us:

　　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.

　　Work, Play and Grow at BlackLine!

　　Make Your Mark:

　　Are you passionate about leveraging data-driven insights to drive strategic decision-making in the dynamic world of financial technology? We are seeking a talented and motivated Data Scientist to join our company. As a Data Scientist, you will play a critical role in unlocking the power of data to enhance our products, optimize operations, and create innovative solutions. You will also get to play a pivotal role in implementing cutting-edge AI solutions to drive innovation, enhance customer experience, and revolutionize financial services.

　　You'll Get To:

　　Data Analysis and Modeling: Extract, clean, and analyze large, complex datasets from various sources, including financial transactions, user behavior, and market data. Apply statistical techniques, data mining, and machine learning algorithms to develop predictive models and identify patterns, trends, and anomalies.Predictive Analytics: Develop and implement predictive models to forecast customer behavior, detect fraud, improve risk assessment, and optimize financial processes. Collaborate with cross-functional teams to translate insights into actionable recommendations and business strategies.Data Visualization: Create visually compelling and interactive dashboards, reports, and presentations to communicate findings and insights to both technical and non-technical stakeholders. Use data visualization tools and techniques to effectively convey complex information.Machine Learning and AI: Research, experiment, and implement cutting-edge machine learning and artificial intelligence algorithms to improve the accuracy and efficiency of financial models, fraud detection systems, credit scoring, and investment strategies.Data Strategy and Innovation: Contribute to the development and execution of the data strategy for the organization. Identify opportunities to leverage data and analytics to drive innovation, enhance product offerings, and improve customer experience.Collaboration and Teamwork: Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to define data requirements, prioritize projects, and ensure successful implementation of data-driven solutions.

　　What You'll Bring:

　　Education and Experience: Bachelor's Data Science, Statistics, or a related field. Proven experience (8+ years) as a Data Scientist, with a track record of delivering impactful data-driven solutions.Strong AI and Machine Learning Skills: Proficiency in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques. Hands-on experience in developing AI models, training, and fine-tuning them for optimal performance.Programming and Technical Skills: Strong programming skills in languages such as Python, Java, or Scala. Familiarity with AI development tools, libraries, and cloud-based AI services. Experience with big data technologies (e.g., Hadoop, Spark) is a plus.Strong Analytical Skills: Proficient in data manipulation, statistical analysis, and machine learning techniques. Experience with programming languages such as Python or R, as well as SQL and Problem-solving and Critical Thinking: Ability to define problems, collect and analyze data, and propose innovative solutions. Strong critical thinking skills to evaluate models, identify limitations, and recommend improvements.Communication and Collaboration: Excellent written and verbal communication skills to effectively present complex findings to diverse audiences. Proven ability to work collaboratively in a team environment and influence stakeholders.Adaptability and Learning Agility: Comfortable working in a fast-paced, rapidly evolving environment. Proactive in staying up-to-date with the latest trends, techniques, and technologies in data science and fintech.

　　We're Even More Excited If You Have:

　　• Master's degree in Computer Science, Data Science, Statistics, or a related field.

　　• Experience working on cloud platforms GCP, AWS & Azure.

　　• FinTech or Financial services domain background.

　　• Data visualization tools (e.g., Tableau, Power BI).

　　Thrive at BlackLine Because You Are Joining:

　　A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

　　BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, 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.

　　BlackLine recognizes that the ways we work and the workplace itself has 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.

　　Salary Range:

　　USD $139,800.00 - USD $215,800.00

　　Pay Transparency Statement:

　　Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location. In addition to base pay, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans.