Senior Data Scientist

About Outseer

At Outseer we are empowering our customers to liberate the world from digital fraud. Our market-leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can’t at outseer.com.

As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support data-driven decision-making across the organization.

• Understand business problems and conduct statistical analysis independently. Break down hard problems.
• Communicate effectively to senior stakeholders.
• Deliver value end-to-end. Self-serve data engineering and infrastructure as required.
• Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in the team.
• Develop and implement machine learning models, including feature engineering, model design, training, and deployment.
• Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights.
• Create data visualizations, reports, dashboards, and perform data audits.
• Leverage predictive models to optimize customer experiences and drive business outcomes.
• Create automated anomaly detection systems to monitor and ensure data quality and operational performance.

• Bachelor\'s degree in Data Science, Computer Science, or a related field.
• Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering.
• A “full stack” data scientist – with extensive expertise of data engineering, analysis and analytics, as well as machine learning.
• 6+ years of experience working in Data Science, preferably within a Software organization.
• Experience with financial fraud detection and prevention is a major advantage.
• Advanced proficiency in Python for data science and machine learning applications.
• Familiarity with cloud-based infrastructure, preferably Azure.
• Expertise with Data Warehousing/Data Lakes.
• Proficiency in SQL for data extraction and analysis.
• Strong experience with data visualization tools such as PowerBI and Tableau.
• Understanding Java is a plus.

• Independence: Ability to solve complex problems independently as an advanced individual contributor.
• Adaptability: Demonstrates flexibility and openness to change. Actively seeks and adopts improved approaches and processes.
• Proactive Action: Takes initiative and is driven by results. Takes ownership of actions and outcomes, meeting commitments and striving for high performance.
• Effective Workload Management: Makes timely decisions, prioritizes tasks effectively, solves problems, monitors results, and takes corrective action when necessary.
• Technical Proficiency: Possesses a solid understanding of their role and responsibilities, demonstrating competence in performing tasks and utilizing relevant technical skills.
• Continuous Learning: Takes personal responsibility for learning and development. Recognizes personal strengths and areas for improvement, actively seeks feedback, and embraces opportunities to learn.
• Effective Communication: Demonstrates strong facilitation and written communication skills. Clearly articulates ideas and proposals, actively listens to colleagues\' perspectives, and values diverse viewpoints.
• Collaboration: Shares information, fosters teamwork, and contributes to a positive work environment. Actively collaborates with others and encourages a sense of unity and cooperation among team members.
• Ethical Conduct and Competence: Acts with integrity and intent, displaying ethical character in all actions. Takes accountability for one\'s own behavior and aligns actions with the company\'s values and principles.
• Good Citizenship: Represents the values and interests of Outseer. Acts as a positive ambassador for the company and contributes to the overall well-being and success of the organization.

Outseer is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Outseer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Outseer will not tolerate discrimination or harassment based on any of these characteristics. Outseer encourages applicants of all ages