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Outseer

Senior Data Scientist I/II

Reposted 23 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Bangalore, Bengaluru, Karnataka
Senior level
In-Office or Remote
Hiring Remotely in Bangalore, Bengaluru, Karnataka
Senior level
The Senior Data Scientist will develop machine learning models, perform data analysis, create visualizations, and support data-driven decisions to enhance product efficiency.
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Outseer is on a mission to liberate the world from transactional fraud. Our market-leading payment and account monitoring solutions protect over $200 billion in annual payments while increasing revenue and reducing customer friction for card issuing banks, payment processors, and merchants worldwide. Leveraging billions of annual transactions from more than 6,000 institutions across the globe, our identity-based science delivers the highest fraud detection rates and lowest customer intervention in the industry. See what others can’t at outseer.com.

 

What you’ll achieve:

The Senior Data Scientist will be developing and implementing machine learning models, performing advanced data analysis, and identifying 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. 

 

 Essential Duties

  • Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services. 
  • 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. 

 

Desired Requirements

  • Bachelor's degree in Data Science, Computer Science, or a related field. 
  • Master’s degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. 
  • 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. 
  • Proficiency in SQL for data extraction and analysis.  
  • Strong experience with data visualization tools such as PowerBI and Tableau
  • Expertise in data mining, statistical modeling, and machine learning. 
  • Familiarity with cloud-based infrastructure, preferably Azure
  • Understanding of Java is a plus.

 

Desired Behaviors

  • 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.

 

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