PT Software Services Indonesia •

Data Scientist

Yogyakarta, Indonesia 3+ yrs

SoftwareSeni is a Software Development Company based in Yogyakarta & Sydney, Australia. We have been designing and developing phone apps, websites, and mobile experiences. We love solving tough problems – from user experience to design and code. We build enterprise web-based solutions for clients all over the world, from Australia, Indonesia, Europe, Africa, and America. Our clients from Indonesia: Astra International, Traveloka, Angkasa Pura, and Peduli Anak Foundation. Our clients from Australia: Bike Exchange, Downsizing, Red Balloon, Sectara, and many more.

What will you get?

  • Competitive Salary. We believe that salary is one of the main factors that keep employees in the company, therefore, we can guarantee a competitive salary for our Staff.
  • Career Development & Training. We have a wonderful onboarding process where we help new team members get familiar with how we work.
  • Reasonable & Flexible Schedules. We are encouraging a culture where people can have a good work-life balance. Our schedules are pretty flexible. Need to run an errand in the middle of the day? Totally cool.
  • English Class. Working in SoftwareSeni means that you will get massive improvement in your English, both spoken and written, guaranteed!
  • Annual Leave Entitlement. 12 working days, which can be taken after 3 months of joining.
  • Performance Review. We will review your performance twice annually in December and June. So, you can focus on your work and improve your performance every day.
  • Relocation Allowance. We provide a relocation allowance if you do not live in Yogyakarta. The allowance will cover moving costs for you and your family.
  • Staff Engagement Activities. We provide fun icebreaker activities in the middle of our working hours to chill and build relationships with all the staff. Sounds fun, right?
  • Birthday Leave. We also want to celebrate our staff's happiest day by giving them a half-day leave on their birthday.

Requirements:

  • 3+ years of experience in Data Science, Statistics, or a related quantitative field.
  • Proven experience in statistical estimation methodologies, including small-area estimation, Bayesian/hierarchical modeling, or survey statistics.
  • Proficiency in Python and R for advanced statistical modeling; strong SQL skills for data extraction and manipulation.
  • Advanced understanding of statistical analysis. While machine learning knowledge is valued, the focus is on rigorous statistical research rather than pure engineering or general ML implementation.
  • Ability to distill complex statistical findings into clear, actionable insights for non-technical business stakeholders
  • Possess strong English communication skills, both written and spoken.
  • Willing to work onsite at our Yogyakarta Office.

Responsibilities:

  • Design and implement advanced statistical estimation models (e.g., Bayesian or hierarchical models) to address specific business research questions.
  • Develop and refine statistical frameworks that go beyond standard machine learning workflows to provide more accurate population estimations and trend analyses.
  • Present complex statistical outputs through clear, intuitive reports and dashboards that facilitate data-driven decision-making for leadership.
  • Partner with existing in-house engineering teams to integrate statistical models into business operations and strategy.
  • Ensure high standards of data quality and methodological rigor while maintaining compliance with data privacy regulations and internal best practices.

⚠️ Note: This position requires fluency in English, as most communication will be conducted in English. If you’re confident (or eager to grow) in using English at work, this position could be a great fit.

Disclaimer: By submitting your application, you consent to PT Software Services Indonesia collecting and processing the information you provide for recruitment purposes only. The information will be treated confidentially and used solely to evaluate your application for current or future employment opportunities with us.

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