Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist United States, Remote

Tbwa Chiat/Day Inc
London
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Product Data Scientist

Senior Product Data Scientist

Senior Machine Learning Scientist

Staff Machine Learning Scientist

Senior Machine Learning Scientist

Staff Machine Learning Scientist

About Pacaso:
Pacaso exists to enrich lives by making second home ownership possible and enjoyable for more people. Our innovative co-ownership model is the easiest, smartest and most responsible way for people to experience the joy of a second home. We provide all the benefits of true ownership without the hassles through our simplified financial structure, easy and equitable scheduling, and dedicated local property management. Founded by former Zillow executives, Pacaso has facilitated over $1 billion in gross real estate transactions and service fees across more than 40 markets nationwide, as well as internationally in Paris, London, and Cabo.

We have been featured in The New York Times, Wall Street Journal, Fortune, Forbes, CNBC and more. Pacaso is a certified Great Place to Work and has received numerous accolades for its workplace culture. Fortune and Great Place To Work named Pacaso to the 2024 Best Workplaces in Real Estate list. In 2023, Pacaso was recognized as a Best Workplace in the Bay Area, and in 2022, it ranked among the Best Medium Workplaces, Best Workplaces for Real Estate, and Best Workplaces for Millennials. Additionally, Pacaso was ranked #6 on Glassdoor's 2022 list of Best Places to Work and was one of LinkedIn's top startups in 2022.

About the Role

As a Data Scientist you will be an early crew member at a growth-stage company led by some of the most seasoned and successful leaders in the real estate and travel space. This position will support Advanced Analytics initiatives across the Pacaso enterprise. Reporting to the Chief Technical Officer you will play a pivotal role in bringing critical customer insights to multiple stakeholders across Pacaso including Marketing, Sales and Product teams. This role will be part of a multi-functional agile team responsible for using predictive and descriptive analytics to forecast consumer demand, enhance decision making and drive actions towards Pacaso’s strategic priorities.

What you will do

  • Identify and apply appropriate methods to acquire, explore, cleanse, and fuse data from different sources.
  • Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via dashboards, and automated reporting.
  • Efficiently communicate analyses and recommendations to cross functional stakeholders for decision making.
  • Support the adoption of analytic products through effective storytelling and collaboration with key partners.
  • Designing and analyzing experiments to measure the impact of new product features.
  • Building models to predict the growth trajectory of different customer segments.
  • Effectively document new business intelligence tools and processes, as well as maintain documentation for existing tools as development changes over time.

Skills/ Qualifications

  • 5+ years experience developing analytical insights across teams.
  • Strong SQL querying skills and database skills.
  • Knowledge of at least one modern scripting language (preferably Python or R).
  • Expert knowledge of data visualization tools and techniques (Tableau, Looker, Power BI, D3).
  • Experience with cloud data technologies and tools (AWS preferred).
  • Understanding of ML algorithms (SVM’s, gradient boosted decision trees, deep neural networks, etc.).
  • Experience with consumer engagement modeling, funnel optimizations etc. preferred.

Compensation

  • Range around $153k with equity.

You’ll love working at Pacaso because of our ...

  • Competitive salary and stock options.
  • Excellent medical, dental and vision insurance.
  • Sponsored memberships to One Medical, Ginger and Carrot.
  • 401(k) to help you save for the future.
  • Paid maternity and paternity leave.
  • Generous home office stipend and monthly cell phone reimbursement.
  • Quarterly remote team building events and L&D opportunities.

Pacaso encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.