Data Scientist

4 days ago

Jakarta, Jakarta, Indonesia Nikel Full time

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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 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, Engineering, or a related field.
  • 3+ years of experience in data analytics, data science, 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 as 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 careers@nikel.com. We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Internet Publishing

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