Work Detail
Responsibilities
As specialists in the AI business, our company is driving the AI revolution by introducing AI solutions to various industries and creating new value. We utilize machine learning, including deep learning, to develop predictive and optimization analysis algorithms, big data analysis, and other algorithms, adapting them to various industries such as construction and finance.
You will identify societal challenges, design and plan how to approach AI in different industries from a technical perspective, and lead projects.
Job Details
(Immediately after hiring)
* Business problem solving
* Designing appropriate points of discussion that contribute to value creation
* Discovering and providing data-driven facts and insights
* Data analysis work based on general data analysis skills, including machine learning
* Project management for data analysis work and PoC (Proof of Concept)
HEROZ's strength lies in bringing cutting-edge AI technology to leading Japanese industries such as finance, construction, energy, manufacturing, and entertainment, and supporting the creation of new business value.
We have top-class engineers in the industry, allowing for highly flexible activities as a single team.
Furthermore, we envision you taking on projects that will lead B2C businesses utilizing Shogi Wars' proprietary data, not just B2B operations.
(Scope of Change) All company-defined duties other than corporate roles.
Ideal Profile
Required Skills and Experience
(Motivation is highly valued; expertise in all areas is not necessarily required.)
- Strong curiosity and passion for data-driven business problem-solving and value creation
- Proficient in the fundamental theoretical frameworks of mathematics and statistics
- Basic knowledge of data analysis using Python
- Experience in conducting and leading data analysis projects and PoC projects
- Data analysis, identifying key issues for business application, and designing KPIs
- Designing and implementing dashboards and charts
- Experience in explaining analysis results to stakeholders in collaboration with the business side
- Experience in analytical work related to mathematical statistical modeling
- Ability to continuously improve operations and support the development of new insights
- Experience in managing data analysis projects and PoC projects for corporate clients
Preferred Skills and Experience
- Knowledge of cloud environments and data infrastructure organization and construction, including the construction and management of data lakes and data warehouses - Ability to design and perform advanced analyses using Bayesian statistics and statistical causal inference.
- Possesses a broad business background and is skilled at using statistical methods to improve decision-making and quantify/measure operational impacts.
- Has experience designing MLOps and DevOps workflows and can implement machine learning models into business operations.
- Has experience in team development (version control using Git, etc., CI operation, code review).
- Has practical experience in AI development projects.
- Has achieved high scores or top rankings in data analysis and AI development competitions such as Kaggle.
- Holds a PhD or has experience working at a research institute.
- Has a track record of publication in international papers related to AI and data science (IJCAI, AAAI, NeurIPS, ICML, KDD, etc.).
- Has experience in team code development (coding with consideration for others' viewing).
- Has experience and understanding of CDP/DMP.
- Has experience and understanding of BI tools. * Experience or knowledge of data lake and data warehouse design
Desired Candidate Profile
★ If you resonate with our company's management philosophy, vision, mission, and values, please apply!
Those who see the potential in artificial intelligence
Those who can independently identify and solve problems
Those who can pursue expertise with a user-centric approach
Those with strong communication skills
Those who enjoy numerical analysis
Those who can persevere and see things through to the end
Those who are highly curious and constantly gather and study technical information
