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Sr. L4 Data Scientist at Cherre
Cherre is a US-based startup, leader in real estate data and insight. They connect decision makers to accurate property and market information to help them make faster, smarter decisions.
The Good Stuff
Annual salary:
$70,000 to $80,000 USD
Capital Raised:
$75M
Head Count:
>100
Remote Culture:
100% Remote
Required stack
SQL
Python
BigQuery
Nice to have
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Big Data
Company Info
- 15+
Engineers hired
- 14
avg. days-to-hire
- >80%
of the Remote Engineers hired by Flatworld
Sr. L4 Data Scientist at Cherre
Recommended timezone: LATAM
Cherre is a US-based startup, leader in real estate data and insight. They connect decision makers to accurate property and market information to help them make faster, smarter decisions.
As a Sr. L4 Data Scientist you will:
- Organize and deploy data science projects, ensuring they align with CRE (Commercial Real Estate) clients' goals and Cherre's strategic imperatives
- Initiate and conduct cutting-edge research, transitioning sophisticated data patterns into CRE market solutions with tangible client benefits
- Nurture the growth of L3 Data Scientists, creating a hub of learning and leadership that primes Cherre for continued innovation
- Influence Cherre's data strategy, adding your voice to the strategic narrative that shapes our analytics offerings
- Bridge cross-departmental collaboration, crafting a shared vision that empowers a unified approach to CRE data challenges
- Foster and expand our CRE client partnerships through targeted workshops and strategy sessions, solidifying trust and enabling informed decision-making
- Hold domain authority in the CRE space, capable of leading sophisticated research and model development from start to completion
- Operate within Agile frameworks, adding to and refining project backlogs, with an eye towards enhancing our analytics operations
- Represent Cherre in strategic client discussions, delivering complex solutions with clarity and confidence
- Independently drive robust analysis and model creation, ensuring Cherre's CRE data solutions are second to none.
You’ll be a great fit if you:
- Hold a Master's degree or PhD in Data Science, Statistics, Business Analytics, Computer Science, or a comparable field
- Have a strong desire to become an expert in the CRE DS Domain
- Have a minimum of 4 years of experience bringing live models into production.
- Are proficient in Python, SQL coupled with experience in a BigQuery environment
- Have strong statistical abilities and have proficiency in statistics, including understanding regressions, random forests, and determining appropriate sample sizes etc.
- Have proven experience in conducting detailed analysis, employing design thinking, and crafting user-centric data models
- Are capable of interfacing effectively with business stakeholders by translating business problems into statistical questions, facilitating data-driven decision-making processes.
Bonus points if you:
- Demonstrated experience in leading analytical teams within an Agile setup
- Have experience with BigQuery and other Google Cloud Platform tools, leveraging their full potential in a data-rich CRE context
- Have experience within the Commercial Real Estate Sector (CRE)
Benefits
- A fully remote position
- Competitive compensation package
- Equity (stock options)
- Distributed & flexible work arrangements
- Inclusive Work Environment
- B2B Contract employment
Work-life balance
- Paid Parental Leave
- Educational Credit
- Unlimited Vacation
- An environment that encourages learning and development
Visa Sponsorship: Not Available
Want to know what getting hired at Cherre with Flatworld is like?
Alright... so you’ve made it all the way down
You’re probably wondering: “yeh, it sounds great, but what the hell is Flatworld?”
In a nutshell: we help developers find fully remote roles!
What makes us amazing for developers is that instead of applying to jobs individually, you simply apply to our platform and we take care of matching you to a company and getting you hired.
That means we go out and show the companies you're the right fit for them.
We will also hold your hand through the paperwork and hiring process so all you have to do is complete our application, show up to some interviews, and lay back while we get you the job.
It really is that simple... so simple that if Linus was a remote dev looking for a job he'd be like:
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* No, Linus didn’t say this. But he probably would...
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Cherre Cheat Sheet
Cherre Cheat Sheet
Cherre is a fast-growing real estate data and insight company with a team of fully remote employees
In 2021 alone, they
- Won 2021 GlobeStreet CRE Tech Influencer Award
- Won AI Artificial intelligence Excellence Award
- Announced a $50 Million Growth Funding Round
A whole breed of new technology companies exist because of their platform, adding value to millions of end customers every day.
They are backed by the leading investors in the real estate space, as well as the largest investor in AI in the world, including Intel Capital, Navitas, Carthona, and Zigg.
Problems they are solving
Cherre is a fast-growing real estate data and insight company with a team of fully remote employees. Cherre’s vision is to transform real estate investing and underwriting into a science. Their mission is to connect all real estate data and make it accessible for better investment and underwriting decisions.Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.
Why you'll love working at Cherre
The Cherre team:
- is a collaborative group of smart people with different experiences, ideas & approach.
- is always striving to learn & do more.
- share responsibility in our success and in addressing known potential failure
- always assume the best intent and that every member of their team is trying to make their product and work life better
Financial Background
Founded In
2016
Capital Raised
$75M
Team stats
Head Count
>100
Engineering team
>30
Financial Background
Founded In
2016
Capital Raised
$75M
Team stats
Head Count
>100
Engineering team
>30