JOB DESCRIPTION

Data Scientist - Optimization at a Leading Global Strategy Consulting Firm

Data Engineer/Data Scientist

About
About the company
The company is one of the world's 'Big Three' global consulting firms. Two-thirds of the worlds’ fortune global 500 companies are the company’s clients. With offices around the world, most of the consulting works are long-term deals (around 20 years’ span) and almost all are CEO-based deals.

Since you will be working with long-term client deals, you can actually experience how the company’s advice impact the client companies' growth. While many of other foreign strategic consulting firms are usually run with the HQ as the centre, this company differs in a sense that the Japan office was given a lot of autonomy.
Corporate Culture
The company values diversity as they believe that having diversity is the key to keep providing quality and innovative consultancy to clients. They have been true to this belief throughout their recruitment process.
Global Aspects
  • Deal with global projects
  • Already foreign employee(s) working
  • CEO/Executive is a foreigner
  • Many employees speak English
  • Communicate with foreign clients
  • International sales
  • Actively pursuing diversity at the work place
  • Market research overseas
JobDescription
The Company is seeking a strong candidate with advanced analytics experience in optimization to fill an exciting Data Scientist position.

Key Responsibilities:
・Gather and organize large and complex data assets
・Conduct relevant analyses (data exploration, optimization models, and statistical modeling)
・Build and execute solid analytics work plans, communicate findings in a structured way
・Manage priorities and deadlines, and foster team interactions with cross-functional stakeholders
・Develop client relationships with client counterpart

Key Competencies:
Deep Technical and Data Science Expertise
  ・Experience in core analytics methods (one or more of the following):
- Mathematical optimization: e.g. linear programming, operations research, queueing
theory, mixed integer programming, metaheuristics, tabu search
- Statistics: e.g. variable reduction, segmentation/clustering techniques, logistic
regression, linear regression, time series analysis, social network analysis
- Text mining, NLP & unstructured data analytics
- Simulation: e.g. MC, discrete event, agent-based
  ・Familiarity with core tools (one or more of the following):
- Data management: e.g. SQL, PostGRESql, NoSQL
- Optimization: e.g. CPLEX, GUROBI, AIMMS, Llamasoft, Matlab, NuOpt
- Simulation: e.g. Anylogic, ARENA, Java, iThink, Mason, FlexSim
- Statistical and ML: e.g. R, Python, RapidMiner, SPSS
- Programming and scripting: e.g. Python, C#, VBA, Perl, etc.
- Data visualization: e.g. Tableau, R-Shiny, D3, GIS toolkits (e.g. ESRI, MapInfo, etc.)

PROFESSIONAL CAPABILITIES:
・Experience in applied analytics in one or more of the following areas:
- Operations and supply chain: E.g. Supply chain network optimization, transportation modeling, production planning and scheduling, S&OP and integrated business
planning, predictive maintenance
- Other: E.g. location analysis, sales and/or service and maintenance territory
analysis, workforce scheduling and planning, pricing optimization, HR analytics
・Problem solving, conceptual thinking and decision making skills
- Ability to conceptualize business models, and develop scenarios to be tested
- Ability to work in a hypothesis-based, inductive environment
- Flexible, self-motivated, and proactive out-of-the-box critical thinker
- Ability to apply 80/20 approaches, in the context of complex analytical problems
・Customer and business focus
- Demonstrated ability to communicate effectively and professionally, delivering
impactful solutions and presenting work in a concise and thoughtful manner, while
demonstrating technical expertise
- Participate in financial business case development
- Strong collaborative skills and able to adjust approach to effectively interact with
internal customers at all organizational and technical levels

※Please note that the position is only for those who are currently residing in Japan only
Requirements
Must
・Fluent in Japanese ( JLPT N1), experience of working in Japan.
・Candidates will typically hold degrees in a field linked to operations research, applied mathematics, statistics, machine learning, computer science, or an equivalent and related data centric field
・Deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project based environment on strategic issues
・Strong record of professional accomplishment and leadership
Japanese Level
  • Business
Type of people (Personality)
- Excellent organizational skills with strong attention to detail, efficient time management, and the ability to prioritize work effectively
- Independently and proactively communicates issues, priorities, and
- Ability to thrive in a dynamic, project-based environment
- Depending on seniority: provide "thought leadership" to teams and ability to "own" an analytics module as part of a broader project
- Demonstrated ability to communicate effectively and professionally, delivering impactful solutions and presenting work in a concise and thoughtful manner, while demonstrating technical expertise
- Participate in financial business case development
- Strong collaborative skills and able to adjust approach to effectively interact with internal customers at all organizational and technical levels
Conditions
Annual Expected salary (Minimum)
5600000
Annual Expected salary (Maximum)
20000000
Salary promotion
Twice a year
Transporation cost coverage
  • Covered based on Company's set policy
Work hours
9:00 - 18:00
Flextime
  • Yes
Holidays
  • End of Year and New Year Holiday
  • Summer Holiday
  • Golden Week
  • Saturday
  • National Holiday
  • Sunday
Insurances
  • Worker’s Accident Compensation Insurance (労災保険)
  • Health Insurance (健康保険)
  • Unemployment Insurance (雇用保険)
  • Welfare Pension Insurance (厚生年金保険)
Other benefits
  • Conference/event participation support
  • Book purchase support
  • Free Coffee/Tea
・Bonus twice a year
・For your performance evaluation, there will be company’s meeting twice a year where your manager will be evaluating you. You will also have opportunity to give feedback to your manager.