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This posting is managed by: | Talent Fit Japan株式会社 |
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Company Name | Company is not publicly visible |
Job Type |
IT (Other) - Data Analyst/Data Scientist
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Industry | IT - Other |
Location |
Asia
Japan
Tokyo
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Job Description |
【Recruitment Background】 Currently, we provide services to promote pharmacy digital transformation, such as medication history/medication instruction guidance, but we are considering expanding into the area of patient engagement support for pharmaceutical companies as a new business, as well as into the supply chain area. This recruitment is for a data scientist to create new businesses in the supply chain area. Since it will be necessary to go from 0 to 1 and work from formulating a business concept to the operation and establishment phase, we are looking for someone with experience in setting goals from 0 and promoting data science work with the aim of creating social and business value. 【Specific Work】 In designing new services, you will be engaged in the following tasks. ・Understanding business issues and structuring ・Drawing up technical concepts ・Define data science problems and milestones for required analysis/technical development tasks ・Building and maintaining data marts and data warehouses for data analysis ・Analysis work for business development (EDA, data visualization, profit simulation, etc.) ・Core AI technology development (technical issue identification, development, accuracy improvement) ・Product development work (modeling, monitoring, etc.) <What we aim for in the supply chain field> Compared to other industries such as convenience stores, inventory management, ordering, and distribution in pharmacies rely heavily on intuition and experience, leaving a lot of room for optimization through technology. At Kakehashi, we aim to transform the industry first through an automatic ordering service that utilizes AI. [Team composition] 12 full-time employees (1 EM, 5 DS, 6 MLE/SWE) 6 contract employees [Age] 30s, 40s |
Company Info | We are a health tech company that aims to improve the efficiency of pharmacy operations and patient experience. We are a growing company that provides electronic medical history SaaS and promotes DX (digital transformation) in the medical field. |
Working Hours |
Specialized work-type discretionary labor system (estimated working hours per day: 10 hours 15 minutes) *Work will basically be remote (remote work available) |
Job Requirements |
Required skills - 2+ years of Python/Jupyter experience - 2+ years of data extraction experience using SQL - Experience working on data science-related tasks in the business concept formulation/requirements definition/operation establishment phase - A series of practical experiences to improve and solve business issues using formulation/statistical models/machine learning models Welcome skills - Experience in analysis/development in cloud environments (AWS, GCP, Azure) - Product development experience - Experience in projects with enterprise companies - Experience leading a team - Experience in product/business development related to demand forecasting - Experience in data management (governance, modeling, data warehouse, metadata) - Basic knowledge of statistics, data science, and machine learning - Experience using BI tools such as Redash - Experience in publishing papers, speaking at external events, writing blog articles, etc. - Experience working on project-based projects in collaboration with other organizations - Experience in applied research with the goal of contributing to business, experience in publishing papers Desired profile - Someone who can empathize with our company's desire to "provide patients with a better medical experience (using technology)." ・Those who enjoy discovering and solving problems with a creative and essential approach to unprecedented things ・Those who are aware that solving business problems is important and that technology is a means to that end ・Those who can act autonomously, cooperate, and take the initiative to succeed for the sake of their team and stakeholders ・Those who can tenaciously complete tasks even when projects are delayed or goals change due to external factors, etc. ・Those who can quickly get their hands moving and execute ・Those who can autonomously learn domain knowledge and inexperienced technologies as needed and actively take on challenges Development environment ■Technologies used ・Python ・Jupyter notebook ・Redash ・Databricks ・Data science libraries (Pandas/NumPy, etc.) ■Machine learning/data science/mathematical optimization libraries ・Pandas ・NumPy ・Scikit-Learn ・LightGBM ・Prophet ・PuLP |
Salary | JPY - Japanese Yen JPY 8500K - JPY 15000K |
Holidays | Weekends and holidays / New Year's holidays / Paid holidays / Summer holidays / Anniversary holidays / Birthday holidays / Family maternity leave / Marriage leave / Bereavement leave |