District of Columbia was 5.2% above the U.S. median for Data Scientists. It ranked 9 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 District of Columbia was 109.9, or 9.9% above the national price level. Its housing index was 155.
National-price-dollar proxy
$115,094
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.
Data Scientists in District of Columbia: wage guide
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 11.
Questions, answered
Data Scientists pay in District of Columbia: common questions
What is the median wage for Data Scientists in District of Columbia?
The May 2025 BLS OEWS release published a median of $126,490 per year for Data Scientists in District of Columbia. This describes an occupation-area estimate, not a promised offer or an individual's pay.
Is Data Scientists pay higher in District of Columbia than nationally?
District of Columbia's published median was 5.2% above the U.S. median for the same occupation and release.
Does the wage estimate adjust for cost of living in District of Columbia?
No. The BLS wage is nominal. WageScope separately shows BEA's 2024 all-items Regional Price Parity of 109.9 and a transparent national-price-dollar proxy.
How many Data Scientists jobs does BLS estimate in District of Columbia?
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 District of Columbia
The May 2025 BLS OEWS estimate puts the Data Scientists median in District of Columbia at $126,490 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 11.
BLS lists 2,680 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 $142,580 per year. Mean uses all wage values behind the estimate, so high or low values can move it away from the median.
District of Columbia's Data Scientists median is 5.2% 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 11. SOC 15-2051 names Data Scientists. Area 11 names District of Columbia. Both keys must match before WageScope can show or index this answer.
The 15-2051/11 row reports 2,680 wage and salary jobs, 3.83 jobs per 1,000 local jobs, and a 2.27 location quotient. Each value stays under the same two source keys.
For 15-2051/11, the annual median is $126,490 per year, while the matching mean is $142,580 per year. The row is published with annual and hourly fields. WageScope does not switch units to fill a blank.
BLS area 11 facts behind this Data Scientists page
Area 11 reports 701,920 wage and salary jobs across all covered occupations. Its annual mean is $111,010. Its annual median is $91,540. The employment RSE is 0%. The mean-wage RSE is 0.5%. These are facts for the whole area. They do not replace the 15-2051 row.
The all-jobs wage ladder in District of Columbia runs from $39,650 at the 10th percentile to $195,190 at the 90th percentile. The 25th percentile is $55,460. The median is $91,540. The 75th percentile is $144,680. 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 11. They do not show related skills or a path into Data Scientists.
1. Area 11, SOC 13-1199, Business Operations Specialists, All Other: 37,790 jobs, $108,160 annual median, 53.84 jobs per 1,000, and 7.7 location quotient.
2. Area 11, SOC 11-1021, General and Operations Managers: 36,150 jobs, $168,000 annual median, 51.5 jobs per 1,000, and 2.29 location quotient.
3. Area 11, SOC 23-1011, Lawyers: 33,070 jobs, $195,190 annual median, 47.11 jobs per 1,000, and 9.71 location quotient.
Pay range
Read the District of Columbia wage ladder for Data Scientists
The 10th percentile is $89,750 per year. The 25th percentile is $105,320 per year. The median is $126,490 per year. The 75th percentile is $174,650 per year. The 90th percentile is $209,730 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 $105,320 per year to $174,650 per year. The 10th-to-90th span is $119,980. Use the full ladder when a job post sits far from the median.
Compare District of Columbia with its state and the U.S.
District of Columbia has a annual median of $126,490 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 District of Columbia. District of Columbia is 5.2% 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.
Where District of Columbia sits for Data Scientists
District of Columbia ranks 9 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 9 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.
6. New York has a Data Scientists median of $130,460 per year, 23,970 estimated jobs, and a location quotient of 1.47.
7. Minnesota has a Data Scientists median of $128,800 per year, 4,020 estimated jobs, and a location quotient of 0.81.
8. Vermont has a Data Scientists median of $127,070 per year, 200 estimated jobs, and a location quotient of 0.38.
10. Virginia has a Data Scientists median of $126,430 per year, 8,920 estimated jobs, and a location quotient of 1.29.
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. District of Columbia sits at $126,490 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 $36,860 above District of Columbia. BLS lists 9,600 jobs there, compared with 2,680 in District of Columbia. The location quotient is 1.6.
2. California has a Data Scientists median of $141,590 per year, or $15,100 above District of Columbia. BLS lists 39,310 jobs there, compared with 2,680 in District of Columbia. The location quotient is 1.28.
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. District of Columbia has 2,680. 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 36,630 jobs from District of Columbia. Its median is $141,590 per year, or $15,100 above District of Columbia. Its location quotient is 1.28.
2. Texas has 25,860 estimated Data Scientists jobs, a gap of 23,180 jobs from District of Columbia. Its median is $122,090 per year, or $4,400 below District of Columbia. Its location quotient is 1.09.
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. District of Columbia has 2.27. 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 0.00 from District of Columbia. BLS lists 2,680 Data Scientists jobs and a median of $126,490 per year, or $0 above District of Columbia.
2. Washington has a location quotient of 1.6, a gap of 0.67 from District of Columbia. BLS lists 9,600 Data Scientists jobs and a median of $163,350 per year, or $36,860 above District of Columbia.
3. Massachusetts has a location quotient of 1.53, a gap of 0.74 from District of Columbia. BLS lists 9,420 Data Scientists jobs and a median of $131,750 per year, or $5,260 above District of Columbia.
Job scale and share
How common Data Scientists is in District of Columbia
BLS lists 2,680 Data Scientists jobs in District of Columbia. It also lists 3.83 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 2.27. A value of 1 means Data Scientists has the same share of local jobs as it has across the nation. This row is higher 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.
Data Scientists beside other roles in District of Columbia
The all-occupations median in District of Columbia is $91,540 per year. The Data Scientists median is $126,490 per year. Data Scientists is 38.2% 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 District of Columbia. 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. Management Analysts, SOC 13-1111, has a District of Columbia median of $126,140 per year. BLS lists 19,000 jobs and a location quotient of 4.68.
2. Software Developers, SOC 15-1252, has a District of Columbia median of $136,880 per year. BLS lists 6,120 jobs and a location quotient of 0.8.
3. Accountants and Auditors, SOC 13-2011, has a District of Columbia median of $111,530 per year. BLS lists 9,810 jobs and a location quotient of 1.5.
Area job mix
The largest detailed roles in District of Columbia
Business Operations Specialists, All Other is the largest detailed occupation in the bounded District of Columbia table, at 37,790 jobs. Data Scientists has 2,680 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 701,920. 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. Business Operations Specialists, All Other has 37,790 jobs in District of Columbia, a gap of 35,110 from Data Scientists. Its median is $108,160 per year, or $18,330 below Data Scientists. Its location quotient is 7.7.
2. General and Operations Managers has 36,150 jobs in District of Columbia, a gap of 33,470 from Data Scientists. Its median is $168,000 per year, or $41,510 above Data Scientists. Its location quotient is 2.29.
Area pay mix
Published role medians around District of Columbia
Public Relations Managers has the highest published median in the bounded District of Columbia role table, at $197,600 per year. Data Scientists has $126,490 per year. This puts the role beside a local pay range without blending the source rows.
The local all-occupations median is $91,540 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. Public Relations Managers has a median of $197,600 per year in District of Columbia, or $71,110 above Data Scientists. BLS lists 7,410 jobs, compared with 2,680 for Data Scientists. Its location quotient is 21.92.
2. Computer and Information Systems Managers has a median of $195,190 per year in District of Columbia, or $68,700 above Data Scientists. BLS lists 5,690 jobs, compared with 2,680 for Data Scientists. Its location quotient is 1.88.
Area role shares
Roles with the largest local share in District of Columbia
Public Relations Managers has the highest location quotient in the bounded District of Columbia role table, at 21.92. Data Scientists has 2.27. 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. Public Relations Managers has a location quotient of 21.92 in District of Columbia, a gap of 19.65 from Data Scientists. BLS lists 7,410 jobs and a median of $197,600 per year, or $71,110 above Data Scientists.
2. Public Relations Specialists has a location quotient of 13.07 in District of Columbia, a gap of 10.80 from Data Scientists. BLS lists 16,720 jobs and a median of $102,740 per year, or $23,750 below Data Scientists.
3. Lawyers has a location quotient of 9.71 in District of Columbia, a gap of 7.44 from Data Scientists. BLS lists 33,070 jobs and a median of $195,190 per year, or $68,700 above Data Scientists.
Price-level view
What $126,490 may mean after the District of Columbia price level
BEA's 2024 all-items price index for District of Columbia is 109.9. The U.S. level is 100. The local level is 9.9% above that mark. This is a broad price comparison. It is not a personal budget.
WageScope divides the $126,490 Data Scientists median by 109.9 divided by 100. The result is $115,094 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 155.0. Goods are 106.5. Utilities are 112.8. Other services are 103.0. The parts do not move as one. WageScope uses BEA's all-items index for the proxy and does not make its own basket.
How much care to use with the District of Columbia row
The employment RSE for this Data Scientists row is 12.6%. The mean-wage RSE is 4.7%. 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 2,680 job estimate. The mean-wage RSE belongs to the $142,580 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.
Use District of Columbia wage data before you tailor
The job block looks for strict employer-title matches to Data Scientists. It uses a District of Columbia 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 $126,490 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 District of Columbia 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 2,680 job estimate is not a live opening count. The location quotient of 2.27 is not a growth score. Rank 9 of 50 is not a place score. The 109.9 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 11. 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 2,680 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.
4. Area 11, SOC 13-1111, Management Analysts: 19,000 jobs, $126,140 annual median, 27.06 jobs per 1,000, and 4.68 location quotient.
5. Area 11, SOC 11-9199, Managers, All Other: 18,570 jobs, $175,720 annual median, 26.46 jobs per 1,000, and 6.61 location quotient.
6. Area 11, SOC 15-1299, Computer Occupations, All Other: 17,200 jobs, $156,590 annual median, 24.5 jobs per 1,000, and 8.75 location quotient.
3. Maryland has a Data Scientists median of $136,370 per year, or $9,880 above District of Columbia. BLS lists 3,340 jobs there, compared with 2,680 in District of Columbia. The location quotient is 0.72.
4. New Jersey has a Data Scientists median of $135,280 per year, or $8,790 above District of Columbia. BLS lists 6,430 jobs there, compared with 2,680 in District of Columbia. The location quotient is 0.89.
5. Massachusetts has a Data Scientists median of $131,750 per year, or $5,260 above District of Columbia. BLS lists 9,420 jobs there, compared with 2,680 in District of Columbia. The location quotient is 1.53.
6. New York has a Data Scientists median of $130,460 per year, or $3,970 above District of Columbia. BLS lists 23,970 jobs there, compared with 2,680 in District of Columbia. The location quotient is 1.47.
7. Minnesota has a Data Scientists median of $128,800 per year, or $2,310 above District of Columbia. BLS lists 4,020 jobs there, compared with 2,680 in District of Columbia. The location quotient is 0.81.
8. Vermont has a Data Scientists median of $127,070 per year, or $580 above District of Columbia. BLS lists 200 jobs there, compared with 2,680 in District of Columbia. The location quotient is 0.38.
3. New York has 23,970 estimated Data Scientists jobs, a gap of 21,290 jobs from District of Columbia. Its median is $130,460 per year, or $3,970 above District of Columbia. Its location quotient is 1.47.
4. Pennsylvania has 13,810 estimated Data Scientists jobs, a gap of 11,130 jobs from District of Columbia. Its median is $106,850 per year, or $19,640 below District of Columbia. Its location quotient is 1.35.
5. North Carolina has 11,430 estimated Data Scientists jobs, a gap of 8,750 jobs from District of Columbia. Its median is $119,090 per year, or $7,400 below District of Columbia. Its location quotient is 1.37.
6. Illinois has 10,520 estimated Data Scientists jobs, a gap of 7,840 jobs from District of Columbia. Its median is $106,560 per year, or $19,930 below District of Columbia. Its location quotient is 1.02.
7. Florida has 10,240 estimated Data Scientists jobs, a gap of 7,560 jobs from District of Columbia. Its median is $115,820 per year, or $10,670 below District of Columbia. Its location quotient is 0.61.
8. Washington has 9,600 estimated Data Scientists jobs, a gap of 6,920 jobs from District of Columbia. Its median is $163,350 per year, or $36,860 above District of Columbia. Its location quotient is 1.6.
4. Utah has a location quotient of 1.49, a gap of 0.78 from District of Columbia. BLS lists 4,360 Data Scientists jobs and a median of $108,090 per year, or $18,400 below District of Columbia.
5. New York has a location quotient of 1.47, a gap of 0.80 from District of Columbia. BLS lists 23,970 Data Scientists jobs and a median of $130,460 per year, or $3,970 above District of Columbia.
6. North Carolina has a location quotient of 1.37, a gap of 0.90 from District of Columbia. BLS lists 11,430 Data Scientists jobs and a median of $119,090 per year, or $7,400 below District of Columbia.
7. Rhode Island has a location quotient of 1.37, a gap of 0.90 from District of Columbia. BLS lists 1,160 Data Scientists jobs and a median of $102,440 per year, or $24,050 below District of Columbia.
8. Pennsylvania has a location quotient of 1.35, a gap of 0.92 from District of Columbia. BLS lists 13,810 Data Scientists jobs and a median of $106,850 per year, or $19,640 below District of Columbia.
4. Human Resources Specialists, SOC 13-1071, has a District of Columbia median of $110,970 per year. BLS lists 6,910 jobs and a location quotient of 1.68.
5. Business Operations Specialists, All Other, SOC 13-1199, has a District of Columbia median of $108,160 per year. BLS lists 37,790 jobs and a location quotient of 7.7.
6. Project Management Specialists, SOC 13-1082, has a District of Columbia median of $104,900 per year. BLS lists 5,170 jobs and a location quotient of 1.07.
7. Public Relations Specialists, SOC 27-3031, has a District of Columbia median of $102,740 per year. BLS lists 16,720 jobs and a location quotient of 13.07.
8. Registered Nurses, SOC 29-1141, has a District of Columbia median of $102,540 per year. BLS lists 11,440 jobs and a location quotient of 0.75.
3. Lawyers has 33,070 jobs in District of Columbia, a gap of 30,390 from Data Scientists. Its median is $195,190 per year, or $68,700 above Data Scientists. Its location quotient is 9.71.
4. Management Analysts has 19,000 jobs in District of Columbia, a gap of 16,320 from Data Scientists. Its median is $126,140 per year, or $350 below Data Scientists. Its location quotient is 4.68.
5. Managers, All Other has 18,570 jobs in District of Columbia, a gap of 15,890 from Data Scientists. Its median is $175,720 per year, or $49,230 above Data Scientists. Its location quotient is 6.61.
6. Computer Occupations, All Other has 17,200 jobs in District of Columbia, a gap of 14,520 from Data Scientists. Its median is $156,590 per year, or $30,100 above Data Scientists. Its location quotient is 8.75.
7. Public Relations Specialists has 16,720 jobs in District of Columbia, a gap of 14,040 from Data Scientists. Its median is $102,740 per year, or $23,750 below Data Scientists. Its location quotient is 13.07.
8. Janitors and Cleaners, Except Maids and Housekeeping Cleaners has 16,400 jobs in District of Columbia, a gap of 13,720 from Data Scientists. Its median is $38,520 per year, or $87,970 below Data Scientists. Its location quotient is 1.64.
3. Lawyers has a median of $195,190 per year in District of Columbia, or $68,700 above Data Scientists. BLS lists 33,070 jobs, compared with 2,680 for Data Scientists. Its location quotient is 9.71.
4. Financial Managers has a median of $188,880 per year in District of Columbia, or $62,390 above Data Scientists. BLS lists 8,930 jobs, compared with 2,680 for Data Scientists. Its location quotient is 2.35.
5. Managers, All Other has a median of $175,720 per year in District of Columbia, or $49,230 above Data Scientists. BLS lists 18,570 jobs, compared with 2,680 for Data Scientists. Its location quotient is 6.61.
6. General and Operations Managers has a median of $168,000 per year in District of Columbia, or $41,510 above Data Scientists. BLS lists 36,150 jobs, compared with 2,680 for Data Scientists. Its location quotient is 2.29.
7. Computer Occupations, All Other has a median of $156,590 per year in District of Columbia, or $30,100 above Data Scientists. BLS lists 17,200 jobs, compared with 2,680 for Data Scientists. Its location quotient is 8.75.
8. Software Developers has a median of $136,880 per year in District of Columbia, or $10,390 above Data Scientists. BLS lists 6,120 jobs, compared with 2,680 for Data Scientists. Its location quotient is 0.8.
4. Computer Occupations, All Other has a location quotient of 8.75 in District of Columbia, a gap of 6.48 from Data Scientists. BLS lists 17,200 jobs and a median of $156,590 per year, or $30,100 above Data Scientists.
5. Business Operations Specialists, All Other has a location quotient of 7.7 in District of Columbia, a gap of 5.43 from Data Scientists. BLS lists 37,790 jobs and a median of $108,160 per year, or $18,330 below Data Scientists.
6. Managers, All Other has a location quotient of 6.61 in District of Columbia, a gap of 4.34 from Data Scientists. BLS lists 18,570 jobs and a median of $175,720 per year, or $49,230 above Data Scientists.
7. Management Analysts has a location quotient of 4.68 in District of Columbia, a gap of 2.41 from Data Scientists. BLS lists 19,000 jobs and a median of $126,140 per year, or $350 below Data Scientists.
8. Paralegals and Legal Assistants has a location quotient of 3.61 in District of Columbia, a gap of 1.34 from Data Scientists. BLS lists 6,400 jobs and a median of $89,750 per year, or $36,740 below Data Scientists.
Data Scientists pay in District of Columbia | BLS 2025
Current jobs
Precise employer-title matches for Data Scientists in District of Columbia
Filtered through MeritLog's approved District of Columbia place record and a strict employer-title rule. Listings are not classified by BLS and remain separate from BLS and BEA estimates.
