Data Scientist / Sr. Data Scientist

Background

Through technology and advanced analytics, Nikel offers a range of products to our customers in Indonesia, including Customer Acquisition, Credit Card Onboarding and Management, Lending Onboarding and Management, Fraud Detection System, Credit Decision Engine and Risk & Analytics Consulting. Our mission is to drive business growth by providing secure, efficient, and inclusive financial solutions. Website: https://nikel.com/

Job Summary

The Company is seeking a dynamic and experienced Data Scientist / Senior Data Scientist (exact job title commensurate with experience), to help accelerate the Company’s innovation and data-driven strategy, focusing on data management, predictive analytics, machine learning, and intelligent automation. The ideal candidate should possess a deep understanding of fraud detection and prevention, and risk management, and will be responsible for developing innovative data solutions. You will collaborate with cross-functional teams and collaborate with stakeholders to deliver innovative data solutions that enable informed decision-making and business growth.
 

What you’ll bring:

• Curious and creative mindset: You thrive in solving complex, undefined problems and have a passion for exploring new ideas. You’re not afraid to ask the tough questions or present innovative approaches, and you can distill your insights for non-technical audiences.
• Strong technical expertise: You have hands-on experience building data science solutions from concept to production, leveraging open-source tools and modern cloud computing platforms. You can work comfortably with massive datasets.
• Statistical prowess: You’ve built, validated, and fine-tuned models. You know your way around a confusion matrix, ROC curves, clustering, classification, time series analysis, and deep learning techniques.
• Customer and product focus: You're driven by a passion for fintech and enhancing the banking experience. You ensure that your work directly contributes to business outcomes.

Key Responsibilities

• Develop and implement advanced machine learning models, such as fraud predictive modeling, credit scoring, behavioral analytics, and optimization models.
• Create analytics dashboards for actionable insights and reporting, improving decision-making processes.
• Present and explain your findings to both technical and non-technical stakeholders, ensuring clarity and impact.
• Manage end-to-end data science projects, including planning, execution, and post-implementation monitoring.
• Continuously improve data science practices, tools, and frameworks, ensuring scalability and efficiency.
• Collaborate closely with product and engineering teams to integrate data models into our core products.
• Mentor junior data scientists and offer technical guidance to ensure the team's growth and success

Qualifications

• Degree in a quantitative discipline: Mathematics, Statistics, Data Science, Computer Science, Statistics, Engineering, or a related field. 
• 3+ years of experience in data analytics, data scientist, or related roles.
• Solid understanding of statistical models, including their assumptions and limitations.
• Experience in fraud detection and prevention.
• Experience developing credit models is a plus.
• Strong proficiency in Python, R, or SQL; experience in multiple languages is a plus.
• Hands-on experience in the model development lifecycle as well model operationalization (training, validation, tuning, monitoring).
• Familiarity with data visualization tools such as Tableau, PowerBI, or Superset is an advantage.
• Experience with cloud platforms (AWS, Azure, Google Cloud) for data processing.
• Experience with model deployment platforms (MLFlow, SageMaker, VertexAI) is a plus.
• Understanding of data management principles and infrastructure.

Benefits

• Challenging role in a startup environment with strong growth ambitions.
• Opportunities for professional growth and development.
• A dynamic and innovative work environment.
• Competitive compensation and benefits

At Nikel, we are committed to diversity and equitable access to employment opportunities based on ability. Interested candidates can send their applications to [email protected]. We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.