-
Data Scientist
4日前
TEKsystems Tokyo, 日本Job Summary · Exciting Opportunity: Data Scientist · We are seeking a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will play a crucial role in leveraging BI systems, including Power BI, Qlik Sense, and other tools, to address complex ...
-
Data Scientist
6日前
McKinsey & Company Tokyo, 日本You will be based in Tokyo and will be part of the QuantumBlack team. You will work with other integrative consultants, data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using math, stats and machine learnin ...
-
Data Scientist
4日前
Rakuten Tokyo, 日本 フルタイムDescription · : Business Overview · The FinTech Group Company provides various financial services including credit card, mobile payment settlement, banking, securities, insurance, and others. It is one of our strengths and features to provide various FinTech services both onli ...
-
Data Scientist
2日前
NEXUS CORPORATION Shinjuku, 日本【Responsibilities】:Play an important role in capturing/understanding existing business process and implement successful AI Solutions that make an impact on the process · Responsible for bridging the gap between IT and the business, developing the business case, capturing requirem ...
-
Data Scientist
2日前
NEXUS CORPORATION Shinjuku, 日本Job Description · 【Responsibilities】:Play an important role in capturing/understanding existing business process and implement successful AI Solutions that make an impact on the process · Responsible for bridging the gap between IT and the business, developing the business case, ...
-
Data Scientist
4日前
Rakuten Tokyo, 日本 フルタイムDescription · : Business Overview · Rakuten group has almost 100 million customers based in Japan and 1 billion globally as well, providing more than 70 services in a variety such as e-commerce, payment services, financial services, telecommunication, media, sports, etc. · Dep ...
-
Data scientist Lead
1週間前
UCB Tokyo, 日本 OTHER患者さんのためにあなたの力を発揮してください · ※フルリモート不可/Hybrid work model · ※Please check if the candidate has applied for a job at UCB in the past year. 一年以内のご応募歴を必ずご確認ください。 · ※Please make English and Japanese resume combined in one document to submit 英語と日本語の書類を一つに纏めてご提出ください。 · ※If you have any ques ...
-
Microsoft Corporation Tokyo, 日本 Paid WorkDo you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovatenew solutionsto complex problems? Do you jump with excitement at the opportunity toidentifytrends and provide unique business solutions? Do you want to join ...
-
Microsoft Corporation Tokyo, 日本 Paid WorkDo you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovatenew solutionsto complex problems? Do you jump with excitement at the opportunity toidentifytrends and provide unique business solutions? Do you want to join ...
-
Manulife Tokyo, 日本 フルタイムJob Description · : · • Consulting skills to identify challenges faced by various business units · • Analytical skills to transform business challenges into analytics problems · • Programming skills to prepare and engineer data for machine learning · • Communication skills to r ...
-
Company 180 - Manulife Life Insurance Company (Japan) Tokyo, 日本 フルタイムDescription · : · • Consulting skills to identify challenges faced by various business units · • Analytical skills to transform business challenges into analytics problems · • Programming skills to prepare and engineer data for machine learning · • Communication skills to repor ...
-
Amazon Japan G.K. Tokyo, 日本 パートタイムWe are looking for a student enrolled in a Japanese university to work on applying large language models (LLM) to customer recommendation problems. The role is for 1-3 months with possibility to extend. · For this fellowship, you will complete an LLM project on recommendation and ...
-
Amazon Tokyo, 日本 Paid WorkWe are looking for a student enrolled in a Japanese university to work on applying large language models (LLM) to customer recommendation problems. The role is for 1-3 months with possibility to extend. · For this fellowship, you will complete an LLM project on recommendation and ...
-
Teradata Tokyo, 日本Principal Pre-Sales Data Scientist · Location: Tokyo, Japan · Requisition Number: · External Description: · What You'll Do · The Principal Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its ap ...
-
adidas Tokyo, 日本Purpose & Overall Relevance for the Organization: · At adidas, the role of a Data Scientist is pivotal in harnessing the power of data to drive innovation and strategic decisions. As a Data Scientist, you will apply your expertise in statistics and machine learning to decipher co ...
-
UNLOCK DESIGN Tokyo, 日本 フルタイムWe are Unlock Design, a recruitment agency based in Japan, and the job description below is an opportunity with one of our forward-thinking client companies. We aim to ensure a trustworthy and considerate experience for our candidates, emphasizing their privacy and long-term care ...
-
Microsoft Shinagawa, 日本 フルタイムOverview · Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do y ...
-
Microsoft Shinagawa, 日本 フルタイムOverview · Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do y ...
-
PayPay Corporation Tokyo, 日本About PayPay · PayPay is a FinTech company that has grown to over 61M users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. To build "PayPay", we allied with Paytm; the biggest payment service company inIndia. Based on their c ...
-
Rakuten Mobile Tokyo, 日本 フルタイムDescription · : About Organization · The mission is to empower the organization with AI-driven solutions that drive excellence and competitive advantage. · Identifying and implementing AI use cases across all departments to optimize processes and drive value. Ensuring ethical ...
説明
Description
:Business Overview
Rakuten group has almost 100 million customer bases in Japan and 1 billion globally as well, providing more than 70 services in a variety such as ecommerce, payment services, financial services, telecommunication, media, sports, etc.
Department Overview
Following the strategic vision "Rakuten as a data-driven membership company", we are expanding our data activities across the Rakuten Group. We are looking for Data Scientists to support this direction within the AI Services Supervisory Department.
In this department, data scientists mainly utilize customer data gathered from services such as Rakuten Ichiba, Rakuten Mobile, etc., to derive insights and build data science solutions. These solutions are designed to support not just Rakuten itself, but also to empower our merchants and business partners towards greater success. Topic areas can be very broad, but mostly focus on using transactional, behavioral and demographic data to drive customer acquisition, customer retention and business process improvement (e.g. data-driven labor/cost-reduction, media spend optimization, etc.).
Position Details
Work on the full data science process, from initial problem formulation and ideation through to model building and deployment of data science products.
Flexibly utilize Rakuten's primary big data, as well as relevant third-party data (e.g. offline sales data, geo-spatial data, government statistics, etc.) to uncover trends and patterns that help our business succeed.
Use SQL in a big data context to extract data to support business needs.
Select and implement the most appropriate predictive models and algorithms for the issue at hand.
Focus on building solutions and data products that can be utilized beyond a single-project scope.
Collaborate closely with other data scientists, consultants, project managers and data strategists.
Communicate effectively with stakeholders, both in discussing approaches and in presenting results with appropriate visualizations.
Formulate and propose novel solutions to existing business challenges in a pro-active way.
Keep up with industry trends in data science/machine learning and consider when to introduce them to Rakuten/your projects.
Promote a knowledge sharing and learning culture.
Mandatory Qualifications:
3+ years of relevant work experience in data science, analytics or related areas.
Solid understanding of foundational statistics concepts and ML algorithms: random forest, gradient boosting machines, neural nets, etc.
Experience building data science solutions for real business problems. (e.g. recommendation building, customer journey definition, shopping feature prediction, etc).
Skilled in self-directed exploratory data analysis.
Fluency in using Python (pandas, scikit-learn or equivalent tools) for data analysis.
Experience with working on large data sets, especially with Spark, and/or cloud platforms such as AWS and GCP.
Ability to extract, combine and analyze complex datasets using SQL.
Ability to work collaboratively in a team environment and work effectively with people at all levels in an organization.
Ability to distill complex data and findings into clear, presentable reports.
Ability to effectively communicate with non-technical as well as technical audiences.
Desired Qualifications:
3+ years of industry experience especially in digital marketing, e-commerce or customer analytics-related fields.
Experience with model deployment and/or working with Data Engineers, Software Engineers, etc. in integrating analysis results and models into production systems.
Communication skill in both English and Japanese
Experience with data visualization tools
Other Information:
Your application will be reviewed by multiple departments.
You may have several interview processes by multiple departmentsin parallel.
#business#datascientist#researcher#technologyservicediv#SQL #Python
Languages:
English (Overall - 3 - Advanced)
&v=024){kind=logo}
