Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Spacewise is an innovative B2B SaaS proptech company headquartered in Zurich Switzerland with a rapidly expanding presence. Spacewise is revolutionizing the way commercial real estate landlords market manage and monetize their portfolios and spaces online to supercharge the value of their consumer facing properties. Spacewise also operates the premier online marketplace for shortterm popup and promotional spaces.
For landlords we provide userfriendly software tools to digitize property and space inventory for seamless space marketing and management. Our platform is trusted by major organizations such as Regency Centers and Centennial in North America; and Migros Coop SBB Swiss Post and Wincasa in Europe just to name a few. Furthermore we enable lead generation and booking activities for many of the worlds most renowned brands. Tenants of all sizes use our platform to effortlessly search evaluate and book the perfect location for their marketing activations events popups and promotions.
Are you passionate about digital transformation and helping to shape the future of one of the biggest asset classes in the world Do you like working in an innovative fastpaced environment If so the role as Data Scientist at Spacewise could be the perfect opportunity for you.
Tasks
- Develop predictive models and algorithms that analyze various data inputs including location intelligence foot traffic and economic trends to improve decisionmaking processes.
- Collaborate with crossfunctional teams (engineering product and business) to integrate machine learning models and data insights into the product ecosystem.
- Identify collect and analyze relevant data sources to deliver insights that enhance property pricing strategies space utilization and tenant matching.
- Create and refine forecasting models to predict future trends and outcomes such as foot traffic patterns sales potential and space demand.
- Perform exploratory data analysis and statistical modeling to understand key business drivers and deliver actionable recommendations.
- Build and maintain scalable data pipelines to enable realtime analytics and reporting.
- Communicate complex analytical results to both technical and nontechnical stakeholders contributing to the strategic direction of the company.
Requirements
- Degree in Data Science Statistics Applied Mathematics Computer Science or related field.
- Proven experience in building machine learning models and algorithms preferably within the real estate retail or spatial analytics domains.Strong proficiency in data analysis and visualization tools (e.g. Python R SQL Pandas Matplotlib).
- Experience working with large datasets and applying statistical techniques such as regression clustering and timeseries analysis.Familiarity with locationbased analytics and spatial data including the use of geospatial data for forecasting and analysis.
- Experience developing pricing algorithms or revenue management systems is a strong plus.Ability to communicate complex concepts clearly to both technical and business teams.
- Familiarity with cloudbased platforms such as AWS GCP or Azure for data storage and analysis.
- Strong problemsolving skills and the ability to work independently or as part of a team.
Preferred Qualifications:
- Experience with recommendation systems or personalization algorithms.
- Knowledge of optimization techniques for pricing and inventory management.
- Familiarity with foot traffic data sales potential forecasting and revenue optimization strategies in commercial spaces.
Benefits
- Competitive salary and benefits package.
- Opportunity to work in a dynamic and innovative environment at the intersection of real estate and technology.
- Remotefriendly workplace with flexible working hours.
- Growth opportunities in a rapidly scaling company.
Please submit your resume and a cover letter detailing your experience and why youre a good fit for this role.
Employment Type
Full Time
