Data Scientist Salary at Coinflip BETA

How much does a Coinflip Data Scientist make?

As of April 2025, the average annual salary for a Data Scientist at Coinflip is $117,499, which translates to approximately $56 per hour. Salaries for Data Scientist at Coinflip typically range from $107,014 to $127,885, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
coinflip.tech
Size:
100 - 200 Employees
Revenue:
$50M - $200M
Industry:
Financial Services

CoinFlip is a leading financial services provider powered by cryptocurrency. The company operates the world's largest network of cryptocurrency kiosks by transaction volume with over 3,500 machines across 49 states supporting the buying and selling of major cryptocurrencies with cash. In 2020, CoinFlip launched Trade Desk, an over-the-counter trading service that provides investors a personal account manager and competitive coin pricing. The company does not charge hidden fees, cuts typical transaction fees by as much as half, and provides 24/7 customer support. CoinFlip was founded in 2015 by Daniel Polotsky, Kristoffer Dayrit, Alan Gurevich, and Benjamin Weiss. Headquartered in Chicago, CoinFlip placed 60th on the 2021 Inc. 5000 list as the top-ranked cryptocurrency company, was named the 2021 #1 fastest-growing company in Chicago by Crain's and was awarded the 2021 Silver Stevie ® Award for Customer Service.

See similar companies related to Coinflip

What Skills Does a person Need at Coinflip?

At Coinflip, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
  3. Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.
  4. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  5. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.

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Check more jobs information at Coinflip

Job Title Average Coinflip Salary Hourly Rate
2 Accounts Payable Specialist $49,080 $24
3 Android Engineer $103,887 $50
4 Chief Marketing Officer $351,863 $169
5 Customer Support Agent $47,270 $23
6 Data Analyst $57,751 $28
7 Director of Software Engineering $217,701 $105
8 Director, Information Technology $201,789 $97
9 Executive Assistant $86,561 $42
10 Head of Human Resources $125,466 $60
11 Logistics Specialist $90,853 $44
12 National Sales Director $197,855 $95
13 Office Coordinator $52,710 $25

Hourly Pay at Coinflip

The average hourly pay at Coinflip for a Data Scientist is $56 per hour. The location, department, and job description all have an impact on the typical compensation for Coinflip positions. The pay range and total remuneration for the job title are shown in the table below. Coinflip may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $117,499 look to you?

FAQ about Salary and Jobs at Coinflip

1. How much does Coinflip pay per hour?
The average hourly pay is $56. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Coinflip?
According to the data, the highest approximate salary is about $127,885 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Coinflip?
According to the data, the lowest estimated salary is about $107,014 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.