Connecticut was 5.1% above the U.S. median for Data Scientists. It ranked 11 of 50 state areas with a published annual median. Neither comparison adjusts for cost of living, benefits, experience, employer mix, or hours.
Price-level context
What the local median may buy
BEA's 2024 all-items price index for Connecticut was 103.6, or 3.6% above the national price level. Its housing index was 117.
National-price-dollar proxy
$121,938
WageScope divides the published Data Scientists median by the BEA all-items index. This is a price-level comparison, not take-home pay, a personal budget, or a quality-of-life score.
Use the local pay range, same-source bench marks, job scale, price level, and survey care marks as separate facts. This guide stays tied to SOC 15-2051 and BLS area 09.
Questions, answered
Data Scientists pay in Connecticut: common questions
What is the median wage for Data Scientists in Connecticut?
The May 2025 BLS OEWS release published a median of $126,340 per year for Data Scientists in Connecticut. This describes an occupation-area estimate, not a promised offer or an individual's pay.
Is Data Scientists pay higher in Connecticut than nationally?
Connecticut's published median was 5.1% above the U.S. median for the same occupation and release.
Does the wage estimate adjust for cost of living in Connecticut?
No. The BLS wage is nominal. WageScope separately shows BEA's 2024 all-items Regional Price Parity of 103.6 and a transparent national-price-dollar proxy.
How many Data Scientists jobs does BLS estimate in Connecticut?
From market data to your evidence
Tailor for a real Data Scientists job, not a generic wage number.
Pick an eligible listing, then MeritLog can help you prepare from experience you have confirmed. WageScope never turns a BLS estimate into a qualification or résumé claim.
What the Data Scientists median says in Connecticut
The May 2025 BLS OEWS estimate puts the Data Scientists median in Connecticut at $126,340 per year. Median means the middle of the published wage spread. It is not one worker's pay. It is not a job offer. The row is tied to SOC 15-2051 and BLS area 09.
BLS lists 1,760 wage and salary jobs for this exact role-place row. That is a survey estimate. It is not a count of open posts. The local mean is $129,850 per year. Mean uses all wage values behind the estimate, so high or low values can move it away from the median.
Connecticut's Data Scientists median is 5.1% above the U.S. Data Scientists median of $120,230 on the same published median. The comparison uses the same SOC code and source period. It does not add price levels, taxes, benefits, hours, or a person's work history.
This page exists because the BLS artifact has one row for SOC 15-2051 and area 09. SOC 15-2051 names Data Scientists. Area 09 names Connecticut. Both keys must match before WageScope can show or index this answer.
The 15-2051/09 row reports 1,760 wage and salary jobs, 1.04 jobs per 1,000 local jobs, and a 0.61 location quotient. Each value stays under the same two source keys.
For 15-2051/09, the annual median is $126,340 per year, while the matching mean is $129,850 per year. The row is published with annual and hourly fields. WageScope does not switch units to fill a blank.
BLS area 09 facts behind this Data Scientists page
Area 09 reports 1,696,170 wage and salary jobs across all covered occupations. Its annual mean is $77,420. Its annual median is $59,690. The employment RSE is 0%. The mean-wage RSE is 0.3%. These are facts for the whole area. They do not replace the 15-2051 row.
The all-jobs wage ladder in Connecticut runs from $35,450 at the 10th percentile to $135,790 at the 90th percentile. The 25th percentile is $40,390. The median is $59,690. The 75th percentile is $95,110. This is a place check, not a pay range for Data Scientists.
The source rows below are the six largest detailed roles in the bounded area file. Each keeps its own SOC code. They help a reader spot-check area 09. They do not show related skills or a path into Data Scientists.
1. Area 09, SOC 31-1120, Home Health and Personal Care Aides: 49,510 jobs, $38,990 annual median, 29.19 jobs per 1,000, and 1.05 location quotient.
2. Area 09, SOC 41-2031, Retail Salespersons: 42,410 jobs, $36,490 annual median, 25.01 jobs per 1,000, and 1 location quotient.
3. Area 09, SOC 29-1141, Registered Nurses: 40,110 jobs, $102,740 annual median, 23.65 jobs per 1,000, and 1.09 location quotient.
4. Area 09, SOC 11-1021, General and Operations Managers: 39,070 jobs, $137,220 annual median, 23.03 jobs per 1,000, and 1.02 location quotient.
Pay range
Read the Connecticut wage ladder for Data Scientists
The 10th percentile is $75,700 per year. The 25th percentile is $94,480 per year. The median is $126,340 per year. The 75th percentile is $163,210 per year. The 90th percentile is $204,680 per year.
A percentile is a rank point, not a career stage. The 10th percentile does not mean new-worker pay. The 90th percentile does not mean a wage that comes after a set number of years. The points show how the wage values spread in the source. They do not say why one job sits at one point.
The middle half runs from $94,480 per year to $163,210 per year. The 10th-to-90th span is $128,980. Use the full ladder when a job post sits far from the median.
Connecticut has a annual median of $126,340 per year. No exact state row is linked for this area. The U.S. row has $120,230 per year. WageScope keeps annual and hourly values apart.
A state comparison is not available for Connecticut. Connecticut is 5.1% above the United States on the same published median. A gap can reflect many things that are not in this row. WageScope reports the gap but does not name a cause.
The state and U.S. rows are bench marks, not replacements. They do not fill missing local facts. A state can hold many local labor markets. A national row can hold many states. Read the local row first, then use the broader rows to see scale.
Connecticut ranks 11 of 50 among states and territories with a published annual median for Data Scientists. The list keeps one SOC code, one map type, one wage metric, and one BLS release. It skips rows without the matching median.
Rank 11 of 50 is not a place score. A small wage gap can move a row several spots. The rank does not add local prices, job count, concentration, commute, taxes, or work rules. Use it only to find where the published median falls inside this like-for-like set.
The nearby rows below are the closest ranks, not chosen cities. Their pay, job counts, and local shares can differ. Open a peer page before making a deeper comparison. A title and one number are not enough for a move or pay choice.
8. Vermont has a Data Scientists median of $127,070 per year, 200 estimated jobs, and a location quotient of 0.38.
9. District of Columbia has a Data Scientists median of $126,490 per year, 2,680 estimated jobs, and a location quotient of 2.27.
10. Virginia has a Data Scientists median of $126,430 per year, 8,920 estimated jobs, and a location quotient of 1.29.
12. Oregon has a Data Scientists median of $125,990 per year, 2,140 estimated jobs, and a location quotient of 0.65.
Pay leaders
Where Data Scientists medians lead among states and territories
The rows below use the same SOC 15-2051, the same annual median, the same May 2025 BLS release, and the same state map type. Washington has the highest published median in this set, at $163,350 per year. Connecticut sits at $126,340 per year.
A pay lead is one fact. It does not show the size of the job base. It does not show how common Data Scientists is in the local mix. It also does not add local prices. The bullets keep the median, job count, and location quotient together so a high wage is not read as a full market score.
Use this list to choose a deeper pair, not to choose a place. Open the two local pages. Check the full wage ladder, the job scale, the survey care marks, and the exact BEA price row when present. A missing median stays out of this rank instead of becoming zero.
1. Washington has a Data Scientists median of $163,350 per year, or $37,010 above Connecticut. BLS lists 9,600 jobs there, compared with 1,760 in Connecticut. The location quotient is 1.6.
2. California has a Data Scientists median of $141,590 per year, or $15,250 above Connecticut. BLS lists 39,310 jobs there, compared with 1,760 in Connecticut. The location quotient is 1.28.
3. Maryland has a Data Scientists median of $136,370 per year, or $10,030 above Connecticut. BLS lists 3,340 jobs there, compared with 1,760 in Connecticut. The location quotient is 0.72.
Job-base leaders
Where BLS counts the most Data Scientists jobs
California has the largest published state job estimate for Data Scientists in this same-source set, at 39,310 jobs. Connecticut has 1,760. The count shows covered job scale, not open posts.
A large job base can have a lower median than a smaller one. It can also have a location quotient near or below 1. That is why WageScope does not blend job count, pay, and local share. Each field keeps its name and unit. The rows below let you compare all three without making one score.
Current MeritLog listings can add a dated view of employer-title matches. They do not change this May 2025 order. A place with few current cards can still have a large BLS job estimate. A place with several cards can still have a smaller estimate. The sources use different clocks and scopes.
1. California has 39,310 estimated Data Scientists jobs, a gap of 37,550 jobs from Connecticut. Its median is $141,590 per year, or $15,250 above Connecticut. Its location quotient is 1.28.
2. Texas has 25,860 estimated Data Scientists jobs, a gap of 24,100 jobs from Connecticut. Its median is $122,090 per year, or $4,250 below Connecticut. Its location quotient is 1.09.
3. New York has 23,970 estimated Data Scientists jobs, a gap of 22,210 jobs from Connecticut. Its median is $130,460 per year, or $4,120 above Connecticut. Its location quotient is 1.47.
Local-share leaders
Where Data Scientists takes the largest share of local jobs
District of Columbia has the highest published location quotient in this state set, at 2.27. Connecticut has 0.61. A value above 1 means the role's local job share is larger than its national share.
A high quotient can come from a small local job base. It does not prove more jobs, more posts, faster growth, or higher pay. The bullets keep each quotient beside its BLS job count and median. This lets a reader see when the three measures point in different ways.
Use this list to ask where Data Scientists is a large part of the local mix. Use the employment list to ask where BLS counts the most jobs. Use the pay list to ask where the median is highest. None of those lists decides where a person should work.
1. District of Columbia has a location quotient of 2.27, a gap of 1.66 from Connecticut. BLS lists 2,680 Data Scientists jobs and a median of $126,490 per year, or $150 above Connecticut.
2. Washington has a location quotient of 1.6, a gap of 0.99 from Connecticut. BLS lists 9,600 Data Scientists jobs and a median of $163,350 per year, or $37,010 above Connecticut.
3. Massachusetts has a location quotient of 1.53, a gap of 0.92 from Connecticut. BLS lists 9,420 Data Scientists jobs and a median of $131,750 per year, or $5,410 above Connecticut.
Job scale and share
How common Data Scientists is in Connecticut
BLS lists 1,760 Data Scientists jobs in Connecticut. It also lists 1.04 jobs per 1,000 local jobs. Jobs per 1,000 turns the count into a rate. It helps compare places of different size. It does not show open posts or hiring speed.
The location quotient is 0.61. A value of 1 means Data Scientists has the same share of local jobs as it has across the nation. This row is lower than 1. The quotient is a share check, not a wage or a growth measure.
Read the three values as separate facts. Employment asks how many covered jobs BLS estimated. Jobs per 1,000 asks how much of the local job base the role takes. Location quotient asks how that share compares with the national share. None of them tells you how many posts are open today.
The all-occupations median in Connecticut is $59,690 per year. The Data Scientists median is $126,340 per year. Data Scientists is 111.7% above the local all-occupations median on the same published median. This compares one role with the full covered job mix.
The nearby role medians below come from the bounded detailed-role table for Connecticut. They are close by wage, not by task. A small wage gap does not mean two jobs need the same skill or lead to the same career. Official titles keep their own SOC codes and source rows.
Use the list to spot the local wage mix around Data Scientists. Then open the role page you mean. A role can have a similar median and a very different job count or local share. The pay number alone cannot show fit, demand, or a path between jobs.
1. Software Developers, SOC 15-1252, has a Connecticut median of $134,120 per year. BLS lists 13,660 jobs and a location quotient of 0.74.
2. General and Operations Managers, SOC 11-1021, has a Connecticut median of $137,220 per year. BLS lists 39,070 jobs and a location quotient of 1.02.
3. Registered Nurses, SOC 29-1141, has a Connecticut median of $102,740 per year. BLS lists 40,110 jobs and a location quotient of 1.09.
Area job mix
The largest detailed roles in Connecticut
Home Health and Personal Care Aides is the largest detailed occupation in the bounded Connecticut table, at 49,510 jobs. Data Scientists has 1,760 jobs in its exact role-place row. The two counts show where this role sits beside other large parts of the local job base.
The all-occupations job count is 1,696,170. The detailed list below is only a bounded view of that larger mix. It does not sum to every local job. It does not include a blank role as zero. It helps explain why one role's wage and job count should not stand in for the whole area.
A large role can have a lower median. A smaller role can have a higher one. Job count does not show current posts, job quality, or growth. Use the list to see local scale. Then keep Data Scientists's own median, spread, and share in their own fields.
1. Home Health and Personal Care Aides has 49,510 jobs in Connecticut, a gap of 47,750 from Data Scientists. Its median is $38,990 per year, or $87,350 below Data Scientists. Its location quotient is 1.05.
2. Retail Salespersons has 42,410 jobs in Connecticut, a gap of 40,650 from Data Scientists. Its median is $36,490 per year, or $89,850 below Data Scientists. Its location quotient is 1.
Area pay mix
Published role medians around Connecticut
Financial Managers has the highest published median in the bounded Connecticut role table, at $174,830 per year. Data Scientists has $126,340 per year. This puts the role beside a local pay range without blending the source rows.
The local all-occupations median is $59,690 per year. A role above that mark is not better. A role below it is not worse. The mark only shows where the role's published median sits against the full covered job mix. Job tasks, level, hours, and work setting are separate facts.
The bullets keep each SOC title, job count, median, and local share together. Use them to find a role page worth opening. Do not use a close median as proof that two roles share skills or that one is a path to the other.
1. Financial Managers has a median of $174,830 per year in Connecticut, or $48,490 above Data Scientists. BLS lists 20,040 jobs, compared with 1,760 for Data Scientists. Its location quotient is 2.18.
2. General and Operations Managers has a median of $137,220 per year in Connecticut, or $10,880 above Data Scientists. BLS lists 39,070 jobs, compared with 1,760 for Data Scientists. Its location quotient is 1.02.
3. Software Developers has a median of $134,120 per year in Connecticut, or $7,780 above Data Scientists. BLS lists 13,660 jobs, compared with 1,760 for Data Scientists. Its location quotient is 0.74.
Area role shares
Roles with the largest local share in Connecticut
Financial Managers has the highest location quotient in the bounded Connecticut role table, at 2.18. Data Scientists has 0.61. Both values compare a local job share with the matching national share.
A quotient above 1 means the role takes a larger share of local jobs than it does across the nation. It does not mean more jobs than every other role. It does not mean open posts, growth, or high pay. The job count and median beside each row answer those other narrow questions.
The local role-share mix can differ a lot from the pay mix. Read both lists. Then compare Data Scientists with the same SOC code in another place. This keeps a broad area pattern from replacing the exact role-place row.
1. Financial Managers has a location quotient of 2.18 in Connecticut, a gap of 1.57 from Data Scientists. BLS lists 20,040 jobs and a median of $174,830 per year, or $48,490 above Data Scientists.
2. Childcare Workers has a location quotient of 2.12 in Connecticut, a gap of 1.51 from Data Scientists. BLS lists 12,020 jobs and a median of $36,660 per year, or $89,680 below Data Scientists.
3. First-Line Supervisors of Office and Administrative Support Workers has a location quotient of 1.56 in Connecticut, a gap of 0.95 from Data Scientists. BLS lists 24,420 jobs and a median of $78,200 per year, or $48,140 below Data Scientists.
Price-level view
What $126,340 may mean after the Connecticut price level
BEA's 2024 all-items price index for Connecticut is 103.6. The U.S. level is 100. The local level is 3.6% above that mark. This is a broad price comparison. It is not a personal budget.
WageScope divides the $126,340 Data Scientists median by 103.6 divided by 100. The result is $121,938 in national-price dollars per year. This proxy keeps the math clear. It is not take-home pay and does not set a move target.
Housing is 117.0. Goods are 97.3. Utilities are 146.5. Other services are 102.7. The parts do not move as one. WageScope uses BEA's all-items index for the proxy and does not make its own basket.
The employment RSE for this Data Scientists row is 6.2%. The mean-wage RSE is 1.7%. RSE means relative standard error. It is a survey precision flag. A smaller value often means less sampling uncertainty. It is not the chance that one person's pay is right or wrong.
The employment RSE belongs to the 1,760 job estimate. The mean-wage RSE belongs to the $129,850 mean. BLS does not give the same RSE field for the median or every percentile. WageScope does not move an RSE from one field to another.
A local row can change in a new release. A small role-place sample can also have more survey uncertainty than a broad national row. Keep the May 2025 date next to the value. Do not mix a newer job post with the BLS date as if both facts came from one clock.
The job block looks for strict employer-title matches to Data Scientists. It uses a Connecticut place filter only when the public place list has an exact approved match. If that match is not safe, the page says the jobs are not narrowed to this place. A false negative is safer than showing a different role.
Each card keeps its employer, place, source, and seen date. Listings can change between visits while the survey figures stay tied to their release date. A listing range does not replace the $126,340 BLS median. The listing and survey answer different questions.
Open one listing. Check its level, work place, pay range, and needs. Then tailor with work facts you can support. Do not turn a wage, job count, rank, or price proxy into a résumé claim. The public page is read only. It does not save a job or start a draft on load.
What the Data Scientists row for Connecticut does not claim
The row does not say what one person earns. It does not promise a job, offer, raise, or move result. It does not say why the local median differs from the U.S. row. It does not add tips, bonus pay, stock, benefits, taxes, or work hours unless those items are in the BLS wage measure.
The 1,760 job estimate is not a live opening count. The location quotient of 0.61 is not a growth score. Rank 11 of 50 is not a place score. The 103.6 price index is not a personal budget.
Use the row for one clear task. Read the May 2025 wage spread for SOC 15-2051 in BLS area 09. Compare the same metric with the state and U.S. rows. Add the separate 2024 price level when present. Inspect a dated job match. Then use confirmed work facts for a résumé.
BLS published an employment estimate of 1,760 wage and salary jobs for this exact row. It is a survey estimate, not a current opening count or forecast.
Are the current job listings included in the BLS wage calculation?
No. MeritLog shows eligible live public-catalog listings separately, with their own source and observation date. Posted pay never changes the official BLS distribution.
5. Area 09, SOC 35-3023, Fast Food and Counter Workers: 35,720 jobs, $35,380 annual median, 21.06 jobs per 1,000, and 0.85 location quotient.
6. Area 09, SOC 53-7065, Stockers and Order Fillers: 35,490 jobs, $40,590 annual median, 20.92 jobs per 1,000, and 1.15 location quotient.
4. New Jersey has a Data Scientists median of $135,280 per year, or $8,940 above Connecticut. BLS lists 6,430 jobs there, compared with 1,760 in Connecticut. The location quotient is 0.89.
5. Massachusetts has a Data Scientists median of $131,750 per year, or $5,410 above Connecticut. BLS lists 9,420 jobs there, compared with 1,760 in Connecticut. The location quotient is 1.53.
6. New York has a Data Scientists median of $130,460 per year, or $4,120 above Connecticut. BLS lists 23,970 jobs there, compared with 1,760 in Connecticut. The location quotient is 1.47.
7. Minnesota has a Data Scientists median of $128,800 per year, or $2,460 above Connecticut. BLS lists 4,020 jobs there, compared with 1,760 in Connecticut. The location quotient is 0.81.
8. Vermont has a Data Scientists median of $127,070 per year, or $730 above Connecticut. BLS lists 200 jobs there, compared with 1,760 in Connecticut. The location quotient is 0.38.
4. Pennsylvania has 13,810 estimated Data Scientists jobs, a gap of 12,050 jobs from Connecticut. Its median is $106,850 per year, or $19,490 below Connecticut. Its location quotient is 1.35.
5. North Carolina has 11,430 estimated Data Scientists jobs, a gap of 9,670 jobs from Connecticut. Its median is $119,090 per year, or $7,250 below Connecticut. Its location quotient is 1.37.
6. Illinois has 10,520 estimated Data Scientists jobs, a gap of 8,760 jobs from Connecticut. Its median is $106,560 per year, or $19,780 below Connecticut. Its location quotient is 1.02.
7. Florida has 10,240 estimated Data Scientists jobs, a gap of 8,480 jobs from Connecticut. Its median is $115,820 per year, or $10,520 below Connecticut. Its location quotient is 0.61.
8. Washington has 9,600 estimated Data Scientists jobs, a gap of 7,840 jobs from Connecticut. Its median is $163,350 per year, or $37,010 above Connecticut. Its location quotient is 1.6.
4. Utah has a location quotient of 1.49, a gap of 0.88 from Connecticut. BLS lists 4,360 Data Scientists jobs and a median of $108,090 per year, or $18,250 below Connecticut.
5. New York has a location quotient of 1.47, a gap of 0.86 from Connecticut. BLS lists 23,970 Data Scientists jobs and a median of $130,460 per year, or $4,120 above Connecticut.
6. North Carolina has a location quotient of 1.37, a gap of 0.76 from Connecticut. BLS lists 11,430 Data Scientists jobs and a median of $119,090 per year, or $7,250 below Connecticut.
7. Rhode Island has a location quotient of 1.37, a gap of 0.76 from Connecticut. BLS lists 1,160 Data Scientists jobs and a median of $102,440 per year, or $23,900 below Connecticut.
8. Pennsylvania has a location quotient of 1.35, a gap of 0.74 from Connecticut. BLS lists 13,810 Data Scientists jobs and a median of $106,850 per year, or $19,490 below Connecticut.
4. Accountants and Auditors, SOC 13-2011, has a Connecticut median of $97,550 per year. BLS lists 16,770 jobs and a location quotient of 1.06.
5. Secondary School Teachers, Except Special and Career/Technical Education, SOC 25-2031, has a Connecticut median of $80,970 per year. BLS lists 14,800 jobs and a location quotient of 1.27.
6. Elementary School Teachers, Except Special Education, SOC 25-2021, has a Connecticut median of $80,600 per year. BLS lists 16,330 jobs and a location quotient of 1.08.
7. First-Line Supervisors of Office and Administrative Support Workers, SOC 43-1011, has a Connecticut median of $78,200 per year. BLS lists 24,420 jobs and a location quotient of 1.56.
8. Financial Managers, SOC 11-3031, has a Connecticut median of $174,830 per year. BLS lists 20,040 jobs and a location quotient of 2.18.
3. Registered Nurses has 40,110 jobs in Connecticut, a gap of 38,350 from Data Scientists. Its median is $102,740 per year, or $23,600 below Data Scientists. Its location quotient is 1.09.
4. General and Operations Managers has 39,070 jobs in Connecticut, a gap of 37,310 from Data Scientists. Its median is $137,220 per year, or $10,880 above Data Scientists. Its location quotient is 1.02.
5. Fast Food and Counter Workers has 35,720 jobs in Connecticut, a gap of 33,960 from Data Scientists. Its median is $35,380 per year, or $90,960 below Data Scientists. Its location quotient is 0.85.
6. Stockers and Order Fillers has 35,490 jobs in Connecticut, a gap of 33,730 from Data Scientists. Its median is $40,590 per year, or $85,750 below Data Scientists. Its location quotient is 1.15.
7. Cashiers has 30,920 jobs in Connecticut, a gap of 29,160 from Data Scientists. Its median is $35,550 per year, or $90,790 below Data Scientists. Its location quotient is 0.92.
8. Janitors and Cleaners, Except Maids and Housekeeping Cleaners has 28,740 jobs in Connecticut, a gap of 26,980 from Data Scientists. Its median is $37,960 per year, or $88,380 below Data Scientists. Its location quotient is 1.19.
4. Registered Nurses has a median of $102,740 per year in Connecticut, or $23,600 below Data Scientists. BLS lists 40,110 jobs, compared with 1,760 for Data Scientists. Its location quotient is 1.09.
5. Accountants and Auditors has a median of $97,550 per year in Connecticut, or $28,790 below Data Scientists. BLS lists 16,770 jobs, compared with 1,760 for Data Scientists. Its location quotient is 1.06.
6. Secondary School Teachers, Except Special and Career/Technical Education has a median of $80,970 per year in Connecticut, or $45,370 below Data Scientists. BLS lists 14,800 jobs, compared with 1,760 for Data Scientists. Its location quotient is 1.27.
7. Elementary School Teachers, Except Special Education has a median of $80,600 per year in Connecticut, or $45,740 below Data Scientists. BLS lists 16,330 jobs, compared with 1,760 for Data Scientists. Its location quotient is 1.08.
8. First-Line Supervisors of Office and Administrative Support Workers has a median of $78,200 per year in Connecticut, or $48,140 below Data Scientists. BLS lists 24,420 jobs, compared with 1,760 for Data Scientists. Its location quotient is 1.56.
4. Receptionists and Information Clerks has a location quotient of 1.51 in Connecticut, a gap of 0.90 from Data Scientists. BLS lists 14,980 jobs and a median of $40,630 per year, or $85,710 below Data Scientists.
5. Nursing Assistants has a location quotient of 1.35 in Connecticut, a gap of 0.74 from Data Scientists. BLS lists 21,380 jobs and a median of $44,790 per year, or $81,550 below Data Scientists.
6. Landscaping and Groundskeeping Workers has a location quotient of 1.3 in Connecticut, a gap of 0.69 from Data Scientists. BLS lists 13,490 jobs and a median of $45,740 per year, or $80,600 below Data Scientists.
7. Secondary School Teachers, Except Special and Career/Technical Education has a location quotient of 1.27 in Connecticut, a gap of 0.66 from Data Scientists. BLS lists 14,800 jobs and a median of $80,970 per year, or $45,370 below Data Scientists.
8. Teaching Assistants, Except Postsecondary has a location quotient of 1.27 in Connecticut, a gap of 0.66 from Data Scientists. BLS lists 19,740 jobs and a median of $38,110 per year, or $88,230 below Data Scientists.
We did not fill this page with jobs from other places. Search all Data Scientists jobs, then check each listing's location before you tailor your resume.
