Data Scientist / Engineer Salary

Median pay for Data Scientists in the United States lies in the neighborhood of $94K per year. Career length and the particular city each impact pay for this group, with the former having the largest influence. Almost all enjoy medical while a large number get dental coverage. Vision coverage is also available to the greater part. For the most part, Data Scientists enjoy their work and report high levels of job satisfaction. The vast majority of Data Scientists (85 percent) survey respondents are men. The numbers in this rundown were provided by PayScale's salary survey participants.
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$61,919 - $134,221
$62K
$94K
$130K
MEDIAN: $94,045
10%
50%
90%

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$19.00 - $70.00
$19
$40
$70
MEDIAN: $40.00
10%
50%
90%

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$0$140K
Salary $61,919 - $134,221
Bonus $2,883 - $21,105
Profit Sharing $4,000
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).
)
$60,681 - $140,394
  • Country: United States
  • Currency: USD
  • Updated: 19 Nov 2017
  • Individuals Reporting: 138
Hourly Data $0$70
Hourly Rate $19.00 - $70.00
Overtime $23.00
Annual Data $0$140K
Bonus $2,883 - $21,105
Profit Sharing $4,000
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).
)
$60,681 - $140,394
  • Country: United States
  • Currency: USD
  • Updated: 19 Nov 2017
  • Individuals Reporting: 14

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.

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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

National Average: $95,869

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 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
12 %
Male
88 %

Job Satisfaction

Highly satisfied
Rated 4 out of 5
based on 9 votes.
Less than 1 year
15%
1-4 years
60%
5-9 years
15%
10-19 years
7%
20 years or more
3%

Experience Affects Data Scientist / Engineer Salaries

Late-Career
▲62%

▲28%

▲14%

National Average
$96,000

▼8%

Skills That Affect Data Scientist / Engineer Salaries

Apache Spark
▲12%


Apache Hive
▲4%

▲3%

National Average
$96,000

▼1%

SQL
▼1%




▼3%

Machine Learning
▼4%


R
▼7%

Data Modeling
▼10%

Matlab
▼10%

Job Satisfaction

Highly satisfied
Rated 4 out of 5
based on 9 votes.

Gender

Female
12 %
Male
88 %

Years of Experience

Less than 1 year
15%
1-4 years
60%
5-9 years
15%
10-19 years
7%
20 years or more
3%

Common Health Benefits

medical benefits
Medical: 91%
dental benefits
Dental: 81%
vision benefits
Vision: 60%
no benefits
None: 6%