We are seeking a talented and experienced Data Scientist to join our Data Science and Analytics team. The ideal candidate will be passionate about uncovering insights from complex datasets, adept at database interaction, and skilled in generating ad hoc queries to support various business needs. As a key member of our team, you will collaborate closely with cross-functional teams to provide actionable insights and drive informed decision-making.
Responsibilities
- Interact with databases to extract, transform, and analyze large volumes of data.
- Develop and execute ad hoc queries to address specific business inquiries and challenges.
- Collaborate with stakeholders to understand business requirements and translate them into analytics solutions.
- Design, implement, and maintain analytical models to uncover patterns, trends, and correlations within the data.
- Generate reports and visualizations to communicate findings effectively to both technical and non-technical audiences.
- Continuously monitor and evaluate model performance, making recommendations for improvement as needed.
- Stay updated on emerging trends and technologies in data science and analytics, and propose innovative solutions to enhance our capabilities.
Requirements
- Master's degree or preferably a PhD higher in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience working as a Data Scientist or in a similar role.
- Strong analytical skills with the ability to manipulate and interpret complex datasets.
- Proficiency in SQL and experience with databases such as MySQL, BigQuery, or MongoDB and NoSQL databases.
- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
- Demonstrated ability to work independently and manage multiple projects simultaneously.
- Business level Japanese
Nice to haves
While not specifically required, tell us if you have any of the following.
- Familiarity with machine learning techniques and algorithms
- Experience with programming languages such as Python or R
- Understanding of cultural differences
- Knowledge and experience in chatbots, AI, marketing, and SaaS products
