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Recruiting from Scratch
San Francisco, CA | Full Time
$89k-109k (estimate)
1 Month Ago
Tata Consultancy Service Limited
San Francisco, CA | Full Time
$135k-167k (estimate)
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SynergisticIT
San Francisco, CA | Full Time
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Russell Tobin & Associates
San Francisco, CA | Full Time
$134k-166k (estimate)
4 Days Ago
Whatnot
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$134k-166k (estimate)
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Releady
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University of California - San Francisco Campus and Health
San Francisco, CA | Full Time
$134k-166k (estimate)
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University of California
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University of California San Francisco
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Federato Technologies
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FLYR
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NUNA
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Robert Half
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Turo
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NUNA
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$134k-166k (estimate)
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Cognizant Technology Solutions
San Francisco, CA | Other | Full Time
$213k-262k (estimate)
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Swish Analytics
San Francisco, CA | Full Time
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RevenueCat
San Francisco, CA | Full Time
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Scale AI
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Scale AI
San Francisco, CA | Full Time
$134k-166k (estimate)
1 Week Ago
Data Scientist
Recruiting from Scratch San Francisco, CA
$89k-109k (estimate)
Full Time 1 Month Ago
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Recruiting from Scratch is Hiring a Remote Data Scientist

Who is Recruiting from Scratch: 
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. 
From Our Client

We are seeking a Data Scientist to join our investments team. The Data Scientist’s primary responsibility will be to interpret on-chain data and provide data-driven insights that power investment decisions. This will involve owning all parts of our data science tech stack: 

1) Working closely with our engineering team to build efficient ETL pipelines

2) Building tools and frameworks to provide scalable data-driven insights 

3) Producing data-driven reports to supplement investment decisions 

The essence of the role is to live at the bleeding edge of interpreting on-chain crypto data. For the first time in history, all of the data related to a growing digital economy is open source and available to anyone. However, this data is messy and underexplored. The Data Scientist will be responsible for spearheading our exploration and analysis of on-chain crypto data. 

There will be an emphasis on presenting analyses and findings in a digestible form that influence investment decisions. We are looking for a Data Scientist that can translate data driven insights into concise, well written reports.

We work as a cohesive team and expect everybody to think like an owner, not an agent. While the first few months will involve hands-on training, the Data Scientist must be a self starter and independent thinker who can operate with minimal supervision. 

Requirements

  • 1-2 years of product/strategy-oriented data science work experience 
  • Strong quantitative and statistical analysis background, including regression, hypothesis testing, clustering analysis, and network analysis 
  • Proficiency using SQL, Git, and Python/R, including standard libraries such as Pandas, Numpy, and Tidyverse 
  • Proven intuition of translating business problems to statistical problems 
  • Excellent written communication 
  • Demonstrated interest in crypto. If you cannot describe what Bitcoin, Ethereum, and DeFi are, then this role is not a fit. Ideally, you are completely obsessed with crypto
  • Deep curiosity, strong opinions, and intellectual flexibility. If you do not hold strong opinions and almost always agree with the consensus, then this role is not for you 
  • No unchecked egos. We all work towards the collective success of the firm, and do not aim for individual recognition. People who care more about building their personal brands than contributing to building a world-class team need not apply.
  • Must live or be willing to relocate to NYC. We will be working from the office at least four days per week. 

Salary $125,000 - $150,000 with above-market benefits

Job Summary

JOB TYPE

Full Time

SALARY

$89k-109k (estimate)

POST DATE

03/01/2023

EXPIRATION DATE

06/22/2023

WEBSITE

recruitingfromscratch.com

HEADQUARTERS

San Francisco, CA

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The job skills required for Data Scientist include Data Science, Python, Insight, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. 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. 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 positions, which can be used as a reference in future career path planning. As a Data Scientist, 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. You can explore the career advancement for a Data Scientist 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.

01/31/2022: Champaign, IL

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

02/19/2022: Springfield, OR

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

02/04/2022: Jamestown, NY

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

03/04/2022: Hialeah, FL

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

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