Data Scientist / Sr. Data Scientist

Impact Credit Solutions; Daerah Khusus Ibukota Jakarta; On-site; USD 30,000 - 70,000; Full time

Job summary

An established industry player is seeking a dynamic Data Scientist/Senior Data Scientist to drive innovation through data management and predictive analytics. This role involves developing advanced machine learning models, particularly in fraud detection and risk management, while collaborating with cross-functional teams to deliver impactful data solutions. The ideal candidate will thrive in a startup environment, contributing to a culture of creativity and problem-solving. If you are passionate about fintech and have a strong technical background, this opportunity offers a chance to make significant contributions to the company's growth and success.

Benefits

Challenging role in a startup environment

Opportunities for professional growth

Dynamic and innovative work environment

Competitive compensation and benefits

Qualifications

• 3+ years of experience in data analytics or related roles.
• Solid understanding of statistical models and fraud detection.

Responsibilities

• Develop advanced machine learning models for fraud detection and credit scoring.
• Create analytics dashboards for actionable insights.
• Manage end-to-end data science projects and mentor junior data scientists.

Skills

Machine Learning

Data Analytics

Python

R

SQL

Fraud Detection

Statistical Modeling

Data Visualization

Cloud Platforms

Education

Degree in Mathematics, Statistics, Data Science, Computer Science, or Engineering

Tools

Tableau

PowerBI

AWS

Azure

Google Cloud

MLFlow

SageMaker

VertexAI

Job description

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 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 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 [e-mail]. We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.