Staff Data Scientist

Engineering · Bangkok, Thailand

Job description

RentSpree, the USA's leading home rental software, is among the fastest-growing property tech startups. Our award-winning software connects renters and landlords, revolutionizing the residential rental industry. With six years of annual growth, we've forged partnerships with 300+ top real estate companies, delivering high-quality data-driven insights and products

RentSpree is a place where you will grow alongside the company while collaborating within your team to have a meaningful impact on RentSpree’s future.

Join the Data Scientist team at RentSpree as a Staff Data Scientist! You will play a crucial part in collaborating with our product teams, offering advanced analytics and innovative data solutions to address our users' pain points. This position offers a unique opportunity to work collaboratively with cross-functional teams located in Thailand and the US, driving innovation in the real estate market.

If you're ready to tackle exciting projects that harness the power of our massive data stores, and you're passionate about building a solid data products, then we want you! Take the lead and bring your self-directed skills to RentSpree.

This position is full time and based in our Bangkok office.


Responsibilities
:

  • Partner closely with the product team to develop and implement tools and processes to analyze product funnels, optimize user experience and craft data-driven product strategic decisions.
  • Evaluate product efficiency by monitoring key metrics for continuous optimization.
  • Design and conduct A/B tests and experiments to assess the impact of products changes on user behavior and product performance.
  • Collaborate with cross-functional teams such as product managers, product designers, researchers, and business teams to translate their needs into sizable and actionable solutions.
  • Create innovative data solutions using AI to address product challenges, automate and streamline processes, predict user behavior, and enhance overall product performance.
  • Develop predictive models to anticipate trends and market demands, enabling proactive initiatives and personalized user experiences.
  • Stay informed about industry best practices and trends related to data science, and apply this knowledge to enhance company-wide practices.
  • Mentor junior data scientists, sharing expertise and best practices to foster a collaborative and growth-oriented team environment.
  • Provide training on advanced analytics methods and machine learning, fostering a collaborative environment focused on leveraging data science for product innovation.


Qualifications
:

  • Bachelor's or Master's degree in a relevant field such as data science, statistics, computer science.
  • Minimum of 6 years of experience in data science or analytics role, preferably in a similar industry.
  • Strong understanding of data analysis methodologies, statistical analysis, data visualization, and data modeling.
  • Strong understanding of the company's business objectives and how data can support those objectives.
  • Proficiency in tools such as SQL, Python, R, Excel, Tableau, and other business intelligence tools.
  • Experience with BI tools, such as Holistic, PowerBI, Data Studio, or Tableau or similar.
  • Have a growth mindset, be open to new experiences, and be at ease with sharing your expertise with others.
  • Excellent listening, interpersonal, writing, and oral communication skills in English.
  • Experience in real estate business is a plus.

Benefits & Perks:

  • Semi-Annual Performance Rewards
  • Unlimited Annual Leave
  • Provident Fund
  • Group Health insurances
  • Flexible Benefits
  • Workstation Benefits
  • Lunch & Learn Allowance
  • Internet Allowance
  • Team Training & Event Budget
  • Weekly Office Massage Service

More about us:

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