Dataset Viewer
Unnamed: 0
int64 0
606
| work_year
int64 2.02k
2.02k
| experience_level
stringclasses 4
values | employment_type
stringclasses 4
values | job_title
stringlengths 11
40
| salary
int64 4k
30.4M
| salary_currency
stringclasses 17
values | salary_in_usd
int64 2.86k
600k
| employee_residence
stringlengths 2
2
| remote_ratio
int64 0
100
| company_location
stringlengths 2
2
| company_size
stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
0
| 2,020
|
MI
|
FT
|
Data Scientist
| 70,000
|
EUR
| 79,833
|
DE
| 0
|
DE
|
L
|
1
| 2,020
|
SE
|
FT
|
Machine Learning Scientist
| 260,000
|
USD
| 260,000
|
JP
| 0
|
JP
|
S
|
2
| 2,020
|
SE
|
FT
|
Big Data Engineer
| 85,000
|
GBP
| 109,024
|
GB
| 50
|
GB
|
M
|
3
| 2,020
|
MI
|
FT
|
Product Data Analyst
| 20,000
|
USD
| 20,000
|
HN
| 0
|
HN
|
S
|
4
| 2,020
|
SE
|
FT
|
Machine Learning Engineer
| 150,000
|
USD
| 150,000
|
US
| 50
|
US
|
L
|
5
| 2,020
|
EN
|
FT
|
Data Analyst
| 72,000
|
USD
| 72,000
|
US
| 100
|
US
|
L
|
6
| 2,020
|
SE
|
FT
|
Lead Data Scientist
| 190,000
|
USD
| 190,000
|
US
| 100
|
US
|
S
|
7
| 2,020
|
MI
|
FT
|
Data Scientist
| 11,000,000
|
HUF
| 35,735
|
HU
| 50
|
HU
|
L
|
8
| 2,020
|
MI
|
FT
|
Business Data Analyst
| 135,000
|
USD
| 135,000
|
US
| 100
|
US
|
L
|
9
| 2,020
|
SE
|
FT
|
Lead Data Engineer
| 125,000
|
USD
| 125,000
|
NZ
| 50
|
NZ
|
S
|
10
| 2,020
|
EN
|
FT
|
Data Scientist
| 45,000
|
EUR
| 51,321
|
FR
| 0
|
FR
|
S
|
11
| 2,020
|
MI
|
FT
|
Data Scientist
| 3,000,000
|
INR
| 40,481
|
IN
| 0
|
IN
|
L
|
12
| 2,020
|
EN
|
FT
|
Data Scientist
| 35,000
|
EUR
| 39,916
|
FR
| 0
|
FR
|
M
|
13
| 2,020
|
MI
|
FT
|
Lead Data Analyst
| 87,000
|
USD
| 87,000
|
US
| 100
|
US
|
L
|
14
| 2,020
|
MI
|
FT
|
Data Analyst
| 85,000
|
USD
| 85,000
|
US
| 100
|
US
|
L
|
15
| 2,020
|
MI
|
FT
|
Data Analyst
| 8,000
|
USD
| 8,000
|
PK
| 50
|
PK
|
L
|
16
| 2,020
|
EN
|
FT
|
Data Engineer
| 4,450,000
|
JPY
| 41,689
|
JP
| 100
|
JP
|
S
|
17
| 2,020
|
SE
|
FT
|
Big Data Engineer
| 100,000
|
EUR
| 114,047
|
PL
| 100
|
GB
|
S
|
18
| 2,020
|
EN
|
FT
|
Data Science Consultant
| 423,000
|
INR
| 5,707
|
IN
| 50
|
IN
|
M
|
19
| 2,020
|
MI
|
FT
|
Lead Data Engineer
| 56,000
|
USD
| 56,000
|
PT
| 100
|
US
|
M
|
20
| 2,020
|
MI
|
FT
|
Machine Learning Engineer
| 299,000
|
CNY
| 43,331
|
CN
| 0
|
CN
|
M
|
21
| 2,020
|
MI
|
FT
|
Product Data Analyst
| 450,000
|
INR
| 6,072
|
IN
| 100
|
IN
|
L
|
22
| 2,020
|
SE
|
FT
|
Data Engineer
| 42,000
|
EUR
| 47,899
|
GR
| 50
|
GR
|
L
|
23
| 2,020
|
MI
|
FT
|
BI Data Analyst
| 98,000
|
USD
| 98,000
|
US
| 0
|
US
|
M
|
24
| 2,020
|
MI
|
FT
|
Lead Data Scientist
| 115,000
|
USD
| 115,000
|
AE
| 0
|
AE
|
L
|
25
| 2,020
|
EX
|
FT
|
Director of Data Science
| 325,000
|
USD
| 325,000
|
US
| 100
|
US
|
L
|
26
| 2,020
|
EN
|
FT
|
Research Scientist
| 42,000
|
USD
| 42,000
|
NL
| 50
|
NL
|
L
|
27
| 2,020
|
SE
|
FT
|
Data Engineer
| 720,000
|
MXN
| 33,511
|
MX
| 0
|
MX
|
S
|
28
| 2,020
|
EN
|
CT
|
Business Data Analyst
| 100,000
|
USD
| 100,000
|
US
| 100
|
US
|
L
|
29
| 2,020
|
SE
|
FT
|
Machine Learning Manager
| 157,000
|
CAD
| 117,104
|
CA
| 50
|
CA
|
L
|
30
| 2,020
|
MI
|
FT
|
Data Engineering Manager
| 51,999
|
EUR
| 59,303
|
DE
| 100
|
DE
|
S
|
31
| 2,020
|
EN
|
FT
|
Big Data Engineer
| 70,000
|
USD
| 70,000
|
US
| 100
|
US
|
L
|
32
| 2,020
|
SE
|
FT
|
Data Scientist
| 60,000
|
EUR
| 68,428
|
GR
| 100
|
US
|
L
|
33
| 2,020
|
MI
|
FT
|
Research Scientist
| 450,000
|
USD
| 450,000
|
US
| 0
|
US
|
M
|
34
| 2,020
|
MI
|
FT
|
Data Analyst
| 41,000
|
EUR
| 46,759
|
FR
| 50
|
FR
|
L
|
35
| 2,020
|
MI
|
FT
|
Data Engineer
| 65,000
|
EUR
| 74,130
|
AT
| 50
|
AT
|
L
|
36
| 2,020
|
MI
|
FT
|
Data Science Consultant
| 103,000
|
USD
| 103,000
|
US
| 100
|
US
|
L
|
37
| 2,020
|
EN
|
FT
|
Machine Learning Engineer
| 250,000
|
USD
| 250,000
|
US
| 50
|
US
|
L
|
38
| 2,020
|
EN
|
FT
|
Data Analyst
| 10,000
|
USD
| 10,000
|
NG
| 100
|
NG
|
S
|
39
| 2,020
|
EN
|
FT
|
Machine Learning Engineer
| 138,000
|
USD
| 138,000
|
US
| 100
|
US
|
S
|
40
| 2,020
|
MI
|
FT
|
Data Scientist
| 45,760
|
USD
| 45,760
|
PH
| 100
|
US
|
S
|
41
| 2,020
|
EX
|
FT
|
Data Engineering Manager
| 70,000
|
EUR
| 79,833
|
ES
| 50
|
ES
|
L
|
42
| 2,020
|
MI
|
FT
|
Machine Learning Infrastructure Engineer
| 44,000
|
EUR
| 50,180
|
PT
| 0
|
PT
|
M
|
43
| 2,020
|
MI
|
FT
|
Data Engineer
| 106,000
|
USD
| 106,000
|
US
| 100
|
US
|
L
|
44
| 2,020
|
MI
|
FT
|
Data Engineer
| 88,000
|
GBP
| 112,872
|
GB
| 50
|
GB
|
L
|
45
| 2,020
|
EN
|
PT
|
ML Engineer
| 14,000
|
EUR
| 15,966
|
DE
| 100
|
DE
|
S
|
46
| 2,020
|
MI
|
FT
|
Data Scientist
| 60,000
|
GBP
| 76,958
|
GB
| 100
|
GB
|
S
|
47
| 2,020
|
SE
|
FT
|
Data Engineer
| 188,000
|
USD
| 188,000
|
US
| 100
|
US
|
L
|
48
| 2,020
|
MI
|
FT
|
Data Scientist
| 105,000
|
USD
| 105,000
|
US
| 100
|
US
|
L
|
49
| 2,020
|
MI
|
FT
|
Data Engineer
| 61,500
|
EUR
| 70,139
|
FR
| 50
|
FR
|
L
|
50
| 2,020
|
EN
|
FT
|
Data Analyst
| 450,000
|
INR
| 6,072
|
IN
| 0
|
IN
|
S
|
51
| 2,020
|
EN
|
FT
|
Data Analyst
| 91,000
|
USD
| 91,000
|
US
| 100
|
US
|
L
|
52
| 2,020
|
EN
|
FT
|
AI Scientist
| 300,000
|
DKK
| 45,896
|
DK
| 50
|
DK
|
S
|
53
| 2,020
|
EN
|
FT
|
Data Engineer
| 48,000
|
EUR
| 54,742
|
PK
| 100
|
DE
|
L
|
54
| 2,020
|
SE
|
FL
|
Computer Vision Engineer
| 60,000
|
USD
| 60,000
|
RU
| 100
|
US
|
S
|
55
| 2,020
|
SE
|
FT
|
Principal Data Scientist
| 130,000
|
EUR
| 148,261
|
DE
| 100
|
DE
|
M
|
56
| 2,020
|
MI
|
FT
|
Data Scientist
| 34,000
|
EUR
| 38,776
|
ES
| 100
|
ES
|
M
|
57
| 2,020
|
MI
|
FT
|
Data Scientist
| 118,000
|
USD
| 118,000
|
US
| 100
|
US
|
M
|
58
| 2,020
|
SE
|
FT
|
Data Scientist
| 120,000
|
USD
| 120,000
|
US
| 50
|
US
|
L
|
59
| 2,020
|
MI
|
FT
|
Data Scientist
| 138,350
|
USD
| 138,350
|
US
| 100
|
US
|
M
|
60
| 2,020
|
MI
|
FT
|
Data Engineer
| 110,000
|
USD
| 110,000
|
US
| 100
|
US
|
L
|
61
| 2,020
|
MI
|
FT
|
Data Engineer
| 130,800
|
USD
| 130,800
|
ES
| 100
|
US
|
M
|
62
| 2,020
|
EN
|
PT
|
Data Scientist
| 19,000
|
EUR
| 21,669
|
IT
| 50
|
IT
|
S
|
63
| 2,020
|
SE
|
FT
|
Data Scientist
| 412,000
|
USD
| 412,000
|
US
| 100
|
US
|
L
|
64
| 2,020
|
SE
|
FT
|
Machine Learning Engineer
| 40,000
|
EUR
| 45,618
|
HR
| 100
|
HR
|
S
|
65
| 2,020
|
EN
|
FT
|
Data Scientist
| 55,000
|
EUR
| 62,726
|
DE
| 50
|
DE
|
S
|
66
| 2,020
|
EN
|
FT
|
Data Scientist
| 43,200
|
EUR
| 49,268
|
DE
| 0
|
DE
|
S
|
67
| 2,020
|
SE
|
FT
|
Data Science Manager
| 190,200
|
USD
| 190,200
|
US
| 100
|
US
|
M
|
68
| 2,020
|
EN
|
FT
|
Data Scientist
| 105,000
|
USD
| 105,000
|
US
| 100
|
US
|
S
|
69
| 2,020
|
SE
|
FT
|
Data Scientist
| 80,000
|
EUR
| 91,237
|
AT
| 0
|
AT
|
S
|
70
| 2,020
|
MI
|
FT
|
Data Scientist
| 55,000
|
EUR
| 62,726
|
FR
| 50
|
LU
|
S
|
71
| 2,020
|
MI
|
FT
|
Data Scientist
| 37,000
|
EUR
| 42,197
|
FR
| 50
|
FR
|
S
|
72
| 2,021
|
EN
|
FT
|
Research Scientist
| 60,000
|
GBP
| 82,528
|
GB
| 50
|
GB
|
L
|
73
| 2,021
|
EX
|
FT
|
BI Data Analyst
| 150,000
|
USD
| 150,000
|
IN
| 100
|
US
|
L
|
74
| 2,021
|
EX
|
FT
|
Head of Data
| 235,000
|
USD
| 235,000
|
US
| 100
|
US
|
L
|
75
| 2,021
|
SE
|
FT
|
Data Scientist
| 45,000
|
EUR
| 53,192
|
FR
| 50
|
FR
|
L
|
76
| 2,021
|
MI
|
FT
|
BI Data Analyst
| 100,000
|
USD
| 100,000
|
US
| 100
|
US
|
M
|
77
| 2,021
|
MI
|
PT
|
3D Computer Vision Researcher
| 400,000
|
INR
| 5,409
|
IN
| 50
|
IN
|
M
|
78
| 2,021
|
MI
|
CT
|
ML Engineer
| 270,000
|
USD
| 270,000
|
US
| 100
|
US
|
L
|
79
| 2,021
|
EN
|
FT
|
Data Analyst
| 80,000
|
USD
| 80,000
|
US
| 100
|
US
|
M
|
80
| 2,021
|
SE
|
FT
|
Data Analytics Engineer
| 67,000
|
EUR
| 79,197
|
DE
| 100
|
DE
|
L
|
81
| 2,021
|
MI
|
FT
|
Data Engineer
| 140,000
|
USD
| 140,000
|
US
| 100
|
US
|
L
|
82
| 2,021
|
MI
|
FT
|
Applied Data Scientist
| 68,000
|
CAD
| 54,238
|
GB
| 50
|
CA
|
L
|
83
| 2,021
|
MI
|
FT
|
Machine Learning Engineer
| 40,000
|
EUR
| 47,282
|
ES
| 100
|
ES
|
S
|
84
| 2,021
|
EX
|
FT
|
Director of Data Science
| 130,000
|
EUR
| 153,667
|
IT
| 100
|
PL
|
L
|
85
| 2,021
|
MI
|
FT
|
Data Engineer
| 110,000
|
PLN
| 28,476
|
PL
| 100
|
PL
|
L
|
86
| 2,021
|
EN
|
FT
|
Data Analyst
| 50,000
|
EUR
| 59,102
|
FR
| 50
|
FR
|
M
|
87
| 2,021
|
MI
|
FT
|
Data Analytics Engineer
| 110,000
|
USD
| 110,000
|
US
| 100
|
US
|
L
|
88
| 2,021
|
SE
|
FT
|
Lead Data Analyst
| 170,000
|
USD
| 170,000
|
US
| 100
|
US
|
L
|
89
| 2,021
|
SE
|
FT
|
Data Analyst
| 80,000
|
USD
| 80,000
|
BG
| 100
|
US
|
S
|
90
| 2,021
|
SE
|
FT
|
Marketing Data Analyst
| 75,000
|
EUR
| 88,654
|
GR
| 100
|
DK
|
L
|
91
| 2,021
|
EN
|
FT
|
Data Science Consultant
| 65,000
|
EUR
| 76,833
|
DE
| 100
|
DE
|
S
|
92
| 2,021
|
MI
|
FT
|
Lead Data Analyst
| 1,450,000
|
INR
| 19,609
|
IN
| 100
|
IN
|
L
|
93
| 2,021
|
SE
|
FT
|
Lead Data Engineer
| 276,000
|
USD
| 276,000
|
US
| 0
|
US
|
L
|
94
| 2,021
|
EN
|
FT
|
Data Scientist
| 2,200,000
|
INR
| 29,751
|
IN
| 50
|
IN
|
L
|
95
| 2,021
|
MI
|
FT
|
Cloud Data Engineer
| 120,000
|
SGD
| 89,294
|
SG
| 50
|
SG
|
L
|
96
| 2,021
|
EN
|
PT
|
AI Scientist
| 12,000
|
USD
| 12,000
|
BR
| 100
|
US
|
S
|
97
| 2,021
|
MI
|
FT
|
Financial Data Analyst
| 450,000
|
USD
| 450,000
|
US
| 100
|
US
|
L
|
98
| 2,021
|
EN
|
FT
|
Computer Vision Software Engineer
| 70,000
|
USD
| 70,000
|
US
| 100
|
US
|
M
|
99
| 2,021
|
MI
|
FT
|
Computer Vision Software Engineer
| 81,000
|
EUR
| 95,746
|
DE
| 100
|
US
|
S
|
End of preview. Expand
in Data Studio
Dataset Card for Data Science Job Salaries
Dataset Summary
Content
| Column | Description |
|---|---|
| work_year | The year the salary was paid. |
| experience_level | The experience level in the job during the year with the following possible values: EN Entry-level / Junior MI Mid-level / Intermediate SE Senior-level / Expert EX Executive-level / Director |
| employment_type | The type of employement for the role: PT Part-time FT Full-time CT Contract FL Freelance |
| job_title | The role worked in during the year. |
| salary | The total gross salary amount paid. |
| salary_currency | The currency of the salary paid as an ISO 4217 currency code. |
| salary_in_usd | The salary in USD (FX rate divided by avg. USD rate for the respective year via fxdata.foorilla.com). |
| employee_residence | Employee's primary country of residence in during the work year as an ISO 3166 country code. |
| remote_ratio | The overall amount of work done remotely, possible values are as follows: 0 No remote work (less than 20%) 50 Partially remote 100 Fully remote (more than 80%) |
| company_location | The country of the employer's main office or contracting branch as an ISO 3166 country code. |
| company_size | The average number of people that worked for the company during the year: S less than 50 employees (small) M 50 to 250 employees (medium) L more than 250 employees (large) |
Acknowledgements
I'd like to thank ai-jobs.net Salaries for aggregating this data!
Supported Tasks and Leaderboards
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Dataset Structure
Data Instances
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Source Data
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Additional Information
Dataset Curators
This dataset was shared by @ruchi798
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The license for this dataset is cc0-1.0
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