Join a dynamic, remote team using cutting-edge data tools to drive impactful business decisions and shape innovative products.
Roles/Responsibilities
- Spearhead data science initiatives in areas such as marketing, user experience, product development, and financial strategy to drive product enhancements and informed decision-making.
- Contribute to projects that influence the overall strategic trajectory.
- Partner with business stakeholders and executives to quickly grasp project needs and ensure solutions align with organizational goals.
- Design and implement data-driven approaches, including predictive modeling, feature extraction processes, and forecasting mechanisms.
- Improve departmental capabilities through the development of tailored data storage solutions, applications, and enhancements to models.
- Develop predictive models and deploying them to solve real-world problems.
Required skills
- Fluent English.
- Strong expertise in SQL, Python, and managing code in GitHub within staging-production environments for data and machine learning pipelines.
- Skilled in developing predictive models, designing experiments, and leveraging BI tools like Tableau or Looker.
**The company is unable to sponsor VISAs, so preferably people who reside in Japan.
Preferred skills
- Working with machine learning production workflows through cloud-based machine-learning platforms.
- Japanese fluency.
Personal Attributes
- Team player.
- Adaptability.
About our client
Morgan McKinley is collaborating with a leading payments provider in Japan, offering seamless, instant credit to consumers by simplifying payment and shopping experiences. Using proprietary machine learning models, the company ensures fast underwriting and guarantees payments for merchants, helping increase revenue by reducing transaction drop-offs and boosting conversions. It continues to operate independently while providing innovative services for various digital wallets and marketplaces. The data department consists of a fully remote team of engineers and scientists who have built a data platform on AWS, delivering solutions such as A/B test evaluation tools, forecasts, and personalized app features. The team collaborates closely with product and marketing teams, utilizing various BI tools to deploy projects in production environments.
