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Mathematician/ Statistical Advisor

Role overview

Qualifications

  • Ph.D. degree or Master in Applied Mathematics
  • Discipline related to Statistics, Computer Science, or Data Science
  • Passionate with data forecast and human behaviour prediction
  • Good team player with excellent interpersonal and communication skills

Responsibilities

  • Provide insight on statistics modeling and turn complex data into recommendations
  • Provide guidance to junior team members to achieve common team objectives
  • Utilize statistical methods, data visualization techniques, and machine learning algorithms to solve complex problems.

Key facts

Other skills

  • Forecasting
  • Social Skills
  • Communication
  • Teamwork

About the company

HR Plus logo

HR Plus

Human Resources Services

Glad to know youFounded in 2021, HR Plus is an award-winning HR Service Company in Hong Kong that works with the world’s leading companies to provide Recruitment, Employee Wellness, HR Solutions and HR Technologies. Join us to reshape the future of work and improve your employee experience by hiring and retaining high-performing talents.Building Better Workplaces, Together.At HR Plus, our mission is to create a better workplace for all. We aim to be the go-to HR service company for businesses looking to enhance their workplace culture, attract and retain top talent, and achieve their strategic goals.Your Future, Our PassionWe are committed to securing you a fulfilling job and keeping you relevant in today's dynamic work landscape. We provide personalized guidance, valuable insights, and unwavering support, ensuring you find the perfect opportunity that aligns with your aspirations. Your success drives us each day, and we take pride in being your ultimate career ally.

Company details

Company typeStartup
IndustryHuman Resources Services
Company size11 - 50

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Job description

About HR Plus:

HR Plus is a business of human data – with workforce data analytics service to enhance employee’s experience.

Our vision is to build a better workplace in the future of work.

Our purpose is to make a positive difference in employee lives. We're committed to create a better workplace through technology that makes peoples' lives better, more productive and more meaningful.

Our SaaS platform is designed to help businesses to improve staff engagement level and collect HR critical data through constructive feedback cycle and benefit incentive redemption. The data pipelines we built in our product help gather missing information about employees' individual profiles and reveal a holistic picture of their organization where traditional HR lacks the proper means to access.

Benefits:

  • Public Holiday
  • Flexible working hour
  • Work from home arrangement
  • Competitive package
  • Discretionary bonus
  • Health care coverage
  • Growth potential regionally
  • Company-wide outings and retreats
  • Part time/Freelance work can be arranged

Responsibilities:

  • Provide insight on statistics modelling and turn complex data into recommendations
  • Provide guidance to junior team members as to achieve common team objectives
  • Utilize statistical methods, data visualization techniques, and machine learning algorithms to solve complex problems.

Requirements:

  • Applicants should possess a Ph.D. degree or Master in Applied Mathematics, or in a discipline related to Statistics, Computer Science, or Data Science
  • Passionate with data forecast and human behaviour prediction
  • Be a game changer
  • Good team player with excellent interpersonal and communication skills

Competitive remuneration package including 5-day work week will be offered to the right candidates. Interested parties please click the below "Apply Now" button.

Personal data provided by job applicants will be used strictly in accordance with the employer's personal data policies.

All information received will be kept in strict confidence and only for employment-related purposes.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law."

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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