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Data Scientist [Remote]
Cherre New York, NY
$117k-145k (estimate)
Full Time 1 Month Ago
Save

Cherre is Hiring a Remote Data Scientist [Remote]

Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique "single source of truth," Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.

Cherre invites a seasoned L4 Data Scientist II / Data Lead with a track record of success in commercial real estate (CRE) analytics to play a pivotal role in our client-facing operations. Your adeptness in blending technical data science capabilities with sharp business acumen will be central to translating complex datasets into decisive CRE insights. As a leader within our team, you will navigate the full spectrum of data challenges, mentor burgeoning talent, and embody the strategic finesse that Cherre is known for in the CRE industry.

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Core Responsibilities

  • Organize and deploy data science projects, ensuring they align with CRE 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
Professional Expectations
  • 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.
Must Have
  • A Master's degree in Data Science, Statistics, Business Analytics, Computer Science, or a comparable field
  • A minimum of 4 years of experience bringing live models into production, particularly within the CRE sector
  • Profound proficiency in Python, SQL, and EDA, coupled with experience in a BigQuery environment
  • Solid background in real estate or economics, with a focus on analytics and strategic decision-making within CRE
  • Proven experience in conducting detailed analysis, employing design thinking, and crafting user-centric data models
Preferred Qualifications
  • Demonstrated experience in leading analytical teams within an Agile setup
  • Experience with BigQuery and other Google Cloud Platform tools, leveraging their full potential in a data-rich CRE context
Benefits
  • Equity
  • Range of Healthcare Plans
  • Paid Parental Leave
  • Unlimited Vacation
  • Flexible Work Schedule
  • $130,000 - $150,000 base salary
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$130,000 - $150,000 a year
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If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!

“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson

Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.

Job Summary

JOB TYPE

Full Time

SALARY

$117k-145k (estimate)

POST DATE

03/11/2024

EXPIRATION DATE

05/10/2024

WEBSITE

cherre.com

HEADQUARTERS

New York, NY

SIZE

50 - 100

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The job skills required for Data Scientist [Remote] include Analysis, Data Science, Computer Science, Leadership, Innovation, Economics, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist [Remote]. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist [Remote]. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist [Remote] positions, which can be used as a reference in future career path planning. As a Data Scientist [Remote], it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist [Remote]. You can explore the career advancement for a Data Scientist [Remote] below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

12/22/2021: Dallas, TX

Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

02/17/2022: Lompoc, CA

A data scientist develops software to structure the raw data.

02/16/2022: Lansing, MI

Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

02/12/2022: San Diego, CA

Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

02/01/2022: Peoria, IL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

01/31/2022: Passaic, NJ

Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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