$92,949
Avg. Salary
$36.50
Avg. Hourly Rate

Average additional compensation:

$7,165

Bonus

$4,500

Profit Sharing

What am I worth?
How should I pay?

The average pay for a Data Scientist / Engineer is $36.50 per hour.

The average pay for a Data Scientist / Engineer is $92,949 per year.

10%
$15.67
10%
$36.50
50%
$82.43
90%
90%
MEDIAN $36.50
10%
$61k
10%
$93k
50%
$136k
90%
90%
MEDIAN $92,949
$61,487 - $135,550
$61K
$93K
$140K
MEDIAN: $92,949
10%
50%
90%

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$15.67 - $82.43
$16
$36
$82
MEDIAN: $36.50
10%
50%
90%

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$0$145K
Salary $61,487 - $135,550
Bonus $2,000 - $21,424
Profit Sharing $304 - $29,590
Total Pay (?
XTotal Pay combines base annual salary or hourly wage, bonuses, profit sharing, tips, commissions, overtime pay and other forms of cash earnings, as applicable for this job. It does not include equity (stock) compensation, cash value of retirement benefits, or the value of other non-cash benefits (e.g. healthcare).
)
$60,986 - $145,752
  • Country: United States
  • Currency: USD
  • Updated: 24 Apr 2019
  • Individuals Reporting: 292
Hourly Data $0$82
Hourly Rate $15.67 - $82.43
Overtime $23.00
Annual Data $0$145K
Bonus $2,000 - $21,424
Profit Sharing $304 - $29,590
Total Pay (?
XTotal Pay combines base annual salary or hourly wage, bonuses, profit sharing, tips, commissions, overtime pay and other forms of cash earnings, as applicable for this job. It does not include equity (stock) compensation, cash value of retirement benefits, or the value of other non-cash benefits (e.g. healthcare).
)
$60,986 - $145,752
  • Country: United States
  • Currency: USD
  • Updated: 24 Apr 2019
  • Individuals Reporting: 26

Job Description for Data Scientist / Engineer

The terms "data scientist" and "data engineer" are sometimes used interchangeably and involve similar skill sets. However, the roles of data scientists and data engineers are appreciably different.

Read More...
Data Scientist / Engineer Tasks
  • Design and build new data set processes for modeling, data mining, and production purposes.
  • Determine new ways to improve data and search quality, and predictive capabilities.
  • Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.
  • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis.

Data Scientist / Engineer Job Listings

Popular Skills for Data Scientist / Engineer


Data Scientists report using a deep pool of skills on the job. Most notably, skills in Apache Spark, Apache Hive, Data Mining / Data Warehouse, and Hadoop are correlated to pay that is above average, with boosts between 3 percent and 12 percent. Skills that seem to negatively impact pay include Data Modeling, Matlab, and R. Most people experienced in Data Analysis also know Statistical Analysis and Hadoop.

Pay by Experience Level for Data Scientist / Engineer

Pay by Experience for a Data Scientist / Engineer has a positive trend. An entry-level Data Scientist / Engineer with less than 5 years of experience can expect to earn an average total compensation of $88,000 based on 225 salaries provided by anonymous users. Average total compensation includes tips, bonus, and overtime pay. A Data Scientist / Engineer with mid-career experience which includes employees with 5 to 10 years of experience can expect to earn an average total compensation of $110,000 based on 58 salaries. An experienced Data Scientist / Engineer which includes employees with 10 to 20 years of experience can expect to earn an average total compensation of $123,000 based on 36 salaries. A Data Scientist / Engineer with late-career experience which includes employees with greater than 20 years of experience can expect to earn an average total compensation of $155,000 based on 8 salaries.

Pay Difference by Location

30%

13%

10%

National Average: $94,666

Larger city markers indicate a job is popular in that location.

With a pay rate for Data Scientists that is 35 percent greater than the national average, Mountain View offers a comfortable salary for those in this profession. Data Scientists will also find cushy salaries in New York (+29 percent), San Francisco (+27 percent), Palo Alto (+20 percent), and Seattle (+11 percent). Compared to the national average, Dallas Data Scientists have considerably lower salaries, 26 percent below the national average to be exact. Location appears to be a major driving force in pay for those in this profession. Employers also pay below the national average in Washington (26 percent lower) and Atlanta (19 percent lower).

Data Scientist / Engineer Reviews

Q: What is it like working as a Data Scientist / Engineer?

Data Scientist / Engineer in Champaign:
"Illinois is deplorable."
Pros: Nothing, Illinois is the worst place to live.
Cons: Living in Illinois sums up this question.

Data Scientist / Engineer in San Diego:
"Relaxed and self paced atmosphere."
Pros: Felxible hours with good pay and benefits.
Cons: Working with the government is a slow process.

Related Job Salaries

Key Stats for Data Scientist / Engineer

Gender

Female
15 %
Male
85 %

Job Satisfaction

Extremely satisfied
Rated 5 out of 5
based on 18 votes.
Less than 1 year
13%
1-4 years
57%
5-9 years
16%
10-19 years
10%
20 years or more
4%

Experience Affects Data Scientist / Engineer Salaries

Late-Career
▲64%

▲30%

▲16%

National Average
$95,000

▼7%

Skills That Affect Data Scientist / Engineer Salaries

Apache Spark
▲13%

Apache Hive
▲6%


▲4%

SQL
▲1%

▼0%



National Average
$95,000


Machine Learning
▼2%

▼2%


R
▼6%

Data Modeling
▼9%

Matlab
▼9%

Job Satisfaction

Extremely satisfied
Rated 5 out of 5
based on 18 votes.

Gender

Female
15 %
Male
85 %

Years of Experience

Less than 1 year
13%
1-4 years
57%
5-9 years
16%
10-19 years
10%
20 years or more
4%

Common Health Benefits

medical benefits
Medical: 92%
dental benefits
Dental: 84%
vision benefits
Vision: 66%
no benefits
None: 6%