社名
社名非公開
職種
データサイエンティスト
業務内容
...
- Our team is the Center of Excellence for Data Science and Advanced Analytics within the company. Our team includes brilliant Data Scientists from all over the world. We realize value from Data, AI, and Emerging Technology in everything we do by proposing and adopting most cutting edge technologies and methodologies based on scientific trends and data driven approaches. You will be part of an international and diverse group of people with the genuine spirit of developing Data Science enabled solutions.- You will contribute to the research, development and the advisory of advanced data solutions in a wide range of industries.- You will take part in one or more roles in a data science project lifecycle, from business understanding, data acquisition, data processing, advanced analytics, modeling, deployment and optimization.- You will be a proactive problem-solver, with the following responsibilities:- Solve advanced business analytic problems with technical approaches that yield actionable recommendations.- Retrieve, prepare, and process data from a variety of data sources such as social media, news, internal/external documents, emails, financial data, legal data, location and operational data- Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships- Analyze and model structured data and implement algorithms to support analysis using methods from statistics, machine learning, data mining, econometrics, and operations research- Proactively develop new applications for data science- Communicate results and educate stakeholders through insightful visualizations, reports and presentations
求められる経験
■Required skill
1. Advanced degree in a quantitative field like computer science, math, natural science, engineering or econometrics
2. More than 3 years of experience in solving real life business problems with data science methods from at least two of the following areas: Statistics, Data mining, Machine learning, Optimization, Natural Language processing, Computer Vision, Causal Inference, Reinforcement learning
3. More than 3 years of (continuous) hands-on experience in Python
4. Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to stakeholders.
5. Experience with command-line scripting, data structures, and algorithms; ability to work in a Unix environment
6. Ability to rapidly ingest, transform, engineer, and visualize data, both for ad hoc and product-level solutions
7. JP: Native (or Fluent), ENG: Business
■Nice to have
1. More than 1 year of experience in at least one of the following programming languages: R/Java/Scala/C++/Julia
2. Cloud environments (AWS, Azure, Google Cloud) experience
3. Ability to quickly create interactive dashboards and data visualization prototypes
4. Proven track record in one or more of the following domains: dynamic pricing, recommendation engines, causal discovery, logistics optimization, ESG
5. Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic modeling, named entity recognition, document classification, and sentiment analysis.
保険
健康保険 厚生年金保険 雇用保険,健康保険,厚生年金保険,介護保険
待遇・福利厚生
休憩室,更衣室,食堂
■Annually base salary+Performance bonus(Once a year)*Will be decided after considering experience and capability.
■Welfare:Commutation allowance, Labor Accident Insurance, Employment Insurance, Medical Insurance, Welfare Pension Insurance, and Certified Public Accountants’ Corporate Pension Fund
■Working hours:9:15~17:15
■Holidays, etc:Legal Holidays; Every Sunday
Non-statutory holidays: Saturday,national holidays, New Year holiday (Dec. 29 Jan.4), others
Annual paid leave, Specific paid leave, etc.
■Passive smoking:There are measures against passive smoking. Smoking room installed in office building.
■Trial period:6 months in principle
However, if aptitude cannot be determined, there is a possibility of extension for another 3 months.
休日休暇
日曜日,土曜日,祝日
Easy to take days off
給与
年収1,000 ~ 1,400万円
賞与
-
show more
社名
社名非公開
職種
データサイエンティスト
業務内容
- Our team is the Center of Excellence for Data Science and Advanced Analytics within the company. Our team includes brilliant Data Scientists from all over the world. We realize value from Data, AI, and Emerging Technology in everything we do by proposing and adopting most cutting edge technologies and methodologies based on scientific trends and data driven approaches. You will be part of an international and diverse group of people with the genuine spirit of developing Data Science enabled solutions.- You will contribute to the research, development and the advisory of advanced data solutions in a wide range of industries.- You will take part in one or more roles in a data science project lifecycle, from business understanding, data acquisition, data processing, advanced analytics, modeling, deployment and optimization.- You will be a proactive problem-solver, with the following responsibilities:- Solve advanced business analytic problems with technical approaches that yield actionable recommendations.- Retrieve, prepare, and process data from a variety of data sources such as social media, news, internal/external documents, emails, financial data, legal data, location and operational data- Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships- Analyze and model structured data and implement algorithms to support analysis using methods from statistics, machine learning, data mining, econometrics, and operations research- Proactively develop new applications for data science- Communicate results and educate stakeholders through insightful visualizations, reports and presentations
...
求められる経験
■Required skill
1. Advanced degree in a quantitative field like computer science, math, natural science, engineering or econometrics
2. More than 3 years of experience in solving real life business problems with data science methods from at least two of the following areas: Statistics, Data mining, Machine learning, Optimization, Natural Language processing, Computer Vision, Causal Inference, Reinforcement learning
3. More than 3 years of (continuous) hands-on experience in Python
4. Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to stakeholders.
5. Experience with command-line scripting, data structures, and algorithms; ability to work in a Unix environment
6. Ability to rapidly ingest, transform, engineer, and visualize data, both for ad hoc and product-level solutions
7. JP: Native (or Fluent), ENG: Business
■Nice to have
1. More than 1 year of experience in at least one of the following programming languages: R/Java/Scala/C++/Julia
2. Cloud environments (AWS, Azure, Google Cloud) experience
3. Ability to quickly create interactive dashboards and data visualization prototypes
4. Proven track record in one or more of the following domains: dynamic pricing, recommendation engines, causal discovery, logistics optimization, ESG
5. Perform Statistical Natural Language Processing to mine unstructured data, using methods such as document clustering, topic modeling, named entity recognition, document classification, and sentiment analysis.
保険
健康保険 厚生年金保険 雇用保険,健康保険,厚生年金保険,介護保険
待遇・福利厚生
休憩室,更衣室,食堂
■Annually base salary+Performance bonus(Once a year)*Will be decided after considering experience and capability.
■Welfare:Commutation allowance, Labor Accident Insurance, Employment Insurance, Medical Insurance, Welfare Pension Insurance, and Certified Public Accountants’ Corporate Pension Fund
■Working hours:9:15~17:15
■Holidays, etc:Legal Holidays; Every Sunday
Non-statutory holidays: Saturday,national holidays, New Year holiday (Dec. 29 Jan.4), others
Annual paid leave, Specific paid leave, etc.
■Passive smoking:There are measures against passive smoking. Smoking room installed in office building.
■Trial period:6 months in principle
However, if aptitude cannot be determined, there is a possibility of extension for another 3 months.
休日休暇
日曜日,土曜日,祝日
Easy to take days off
給与
年収1,000 ~ 1,400万円
賞与
-
show more