Senior Data Scientist at Amartha

Sorong, Southwest Papua, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Wrangling, Problem Solving, SQL, Python, R, Data Visualization, Data Analysis, Machine Learning, AI Engineering, Data Engineering, Data Warehousing, Communication, Team Leadership, Business Acumen, Statistical Methods, Risk Analysis

Industry

Financial Services

Description

About the role As one of the prominent fintech players in Indonesia, Amartha provides financial services to underbanked women entrepreneurs in rural areas. We firmly believe that financial inclusion is key to building a sustainable economy that uplifts and supports the entire country. We are currently seeking a Senior Data Scientist to join our team. In this role, you will apply your skills in data wrangling and advanced problem-solving to tackle real business challenges. You will collaborate with a diverse range of stakeholders, including business experts, product leaders, and tech-savvy engineers. You’ll also work alongside a team of exceptional data scientists with varied expertise, spanning data engineering, machine learning and AI engineering, data warehousing, and data analysis. At Amartha, we value your mindset and adaptability even more than your technical prowess. Responsibilities Talk with stakeholders from business, engineering, and product to understand their needs and design robust data solutions to answer their business needs Develop data pipelines to generate analytical data models from transactional data models Work with business stakeholders to clarify ambiguous business problems and attack them scientifically Extract and process raw data, then use sound and scientific method to analyze risks and opportunities and turn them to actionable insights Work with data engineer, engineer, product, and business teams to build scalable data products for millions of users Develop data science frameworks that can be used by fellow data scientists or non technical persons to simplify their analysis Design a data product roadmap and slice it to a small deliverables that can be released and test quickly Lead a small team of data scientists to tackle medium to large scale projects Influence the data driven culture in the company A Bachelor’s / Master's degree in engineering or quantitative fields Experienced in extracting data from databases using SQL queries Experienced in creating scripts for data analysis using Python or R and presenting the results using effective data visualizations Ability to methodically tackle ambiguous business problems Ability to do rapid experimentations to effectively test business hypothesis Ability to use both business acumen and statistical methods to reduce raw data to actionable insights Ability to simplify and clearly communicate complex concepts to non-technical persons and to seamlessly communicate from strategic to operational levels Strong resolve in facing uncertainties and new challenges with the ability to think clearly under pressure Previous experience in implementing end-to-end machine learning in production is a plus Previous experience in building analytical solutions that scale to millions of users is a plus At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth. We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions.

Responsibilities

The Senior Data Scientist will collaborate with stakeholders to design data solutions and develop data pipelines for analytical models. They will also lead a team to tackle projects and influence a data-driven culture within the company.