{
    "url": "https://www.spotsalary.com/salary/data-scientists/san-diego-us-1840021990",
    "canonical": "https://www.spotsalary.com/salary/data-scientists/san-diego-us-1840021990",
    "headline": "Data scientists Salary in San Diego, United States",
    "description": "Median Data scientists salary in San Diego, United States is $52.5K per year. Compare P10–P90 salary bands by experience, take-home pay and a five-year outlook.",
    "occupation": {
        "name": "Data scientists",
        "slug": "data-scientists",
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        "soc_code": null,
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    "location": {
        "name": "San Diego, United States",
        "slug": "san-diego-us-1840021990",
        "type": "city",
        "iso2": "US",
        "currency": "USD"
    },
    "period": 2026,
    "confidence": 68,
    "status": "published",
    "method": "nearest_neighbor",
    "updated_at": "2026-11-05T12:09:54+00:00",
    "salary_bands": [
        {
            "level": "entry",
            "years_experience": [
                0,
                2
            ],
            "p10": 21921.17,
            "p25": 27279.68,
            "p50": 34099.6,
            "p75": 39555.54,
            "p90": 47349.73,
            "base_share": 95,
            "bonus_share": 5,
            "equity_share": 0
        },
        {
            "level": "mid",
            "years_experience": [
                3,
                5
            ],
            "p10": 33724.88,
            "p25": 41968.74,
            "p50": 52460.92,
            "p75": 60854.67,
            "p90": 72845.74,
            "base_share": 88,
            "bonus_share": 8,
            "equity_share": 4
        },
        {
            "level": "senior",
            "years_experience": [
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                9
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            "p10": 55646.05,
            "p25": 69248.42,
            "p50": 86560.52,
            "p75": 100410.21,
            "p90": 120195.47,
            "base_share": 80,
            "bonus_share": 10,
            "equity_share": 10
        },
        {
            "level": "executive",
            "years_experience": [
                10,
                15
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            "p10": 94429.66,
            "p25": 117512.47,
            "p50": 146890.59,
            "p75": 170393.08,
            "p90": 203968.07,
            "base_share": 65,
            "bonus_share": 15,
            "equity_share": 20
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    "take_home": {
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        "method": "progressive",
        "label": "progressive brackets",
        "standard_deduction": 15000,
        "rebate": 0,
        "source": "IRS (2025 single filer federal)",
        "source_url": "https://www.irs.gov/",
        "retrieved_at": "2026-10-23T00:00:00.000000Z",
        "verified": true,
        "notes": "2025 federal brackets; excludes FICA and state tax",
        "bands": [
            {
                "level": "entry",
                "gross": 34099.6,
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                "source": "IRS (2025 single filer federal)",
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                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "2025 federal brackets; excludes FICA and state tax"
            },
            {
                "level": "mid",
                "gross": 52460.92,
                "taxable": 37460.92,
                "tax": 4256.8104,
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                "source": "IRS (2025 single filer federal)",
                "source_url": "https://www.irs.gov/",
                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "2025 federal brackets; excludes FICA and state tax"
            },
            {
                "level": "senior",
                "gross": 86560.52,
                "taxable": 71560.52,
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                "effective_rate": 12.311980565735974,
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                "notes": "2025 federal brackets; excludes FICA and state tax"
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                "level": "executive",
                "gross": 146890.59,
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                "source": "IRS (2025 single filer federal)",
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                "retrieved_at": "2026-10-23T00:00:00.000000Z",
                "verified": true,
                "notes": "2025 federal brackets; excludes FICA and state tax"
            }
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    "outlook": {
        "direction": "growing",
        "inflation_pct": 2.8,
        "real_growth_pct": 2.8,
        "forecasts": [
            {
                "year": 2027,
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                "p25": 51853.21,
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                        "name": "Inflation (CPI)",
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                    {
                        "name": "Wage growth",
                        "note": "3.6% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
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                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
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                    {
                        "name": "Hiring demand",
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                        "weight": "medium",
                        "direction": "up"
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                    {
                        "name": "Automation exposure",
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                    {
                        "name": "Real wage growth",
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                    {
                        "name": "Scenario growth",
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            {
                "year": 2027,
                "scenario": "conservative",
                "p25": 51116.66,
                "p50": 54611.82,
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                    {
                        "name": "Inflation (CPI)",
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                        "name": "Wage growth",
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                        "name": "Role demand trend",
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            {
                "year": 2027,
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                "p25": 52589.76,
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                    {
                        "name": "Inflation (CPI)",
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                        "weight": "high",
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                    {
                        "name": "Wage growth",
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                    {
                        "name": "Role demand trend",
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                        "name": "Hiring demand",
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                        "weight": "medium",
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                        "name": "Automation exposure",
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                        "name": "Real wage growth",
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                    {
                        "name": "Scenario growth",
                        "note": "5.6% modelled nominal growth",
                        "weight": "high",
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            {
                "year": 2029,
                "scenario": "base",
                "p25": 57329.17,
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                "p75": 66225.07,
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                        "name": "Inflation (CPI)",
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                    {
                        "name": "Wage growth",
                        "note": "3.6% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
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                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 58/100",
                        "weight": "medium",
                        "direction": "up"
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                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "2.8% after 2.8% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "5.6% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2029,
                "scenario": "conservative",
                "p25": 54920.7,
                "p50": 59181.79,
                "p75": 63442.88,
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                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.8% annual price growth",
                        "weight": "high",
                        "direction": "steady"
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                    {
                        "name": "Wage growth",
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                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Role demand trend",
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                        "weight": "high",
                        "direction": "steady"
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                    {
                        "name": "Hiring demand",
                        "note": "Demand index 58/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "2.8% after 2.8% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "5.6% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
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                ]
            },
            {
                "year": 2029,
                "scenario": "optimistic",
                "p25": 59807.04,
                "p50": 64447.24,
                "p75": 69087.44,
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                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.8% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.6% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 58/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "2.8% after 2.8% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "5.6% modelled nominal growth",
                        "weight": "high",
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                ]
            },
            {
                "year": 2031,
                "scenario": "base",
                "p25": 63378.7,
                "p50": 68889.89,
                "p75": 74401.08,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.8% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.6% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 58/100",
                        "weight": "medium",
                        "direction": "up"
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                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
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                        "weight": "high",
                        "direction": "up"
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                        "name": "Scenario growth",
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                        "weight": "high",
                        "direction": "up"
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                ]
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            {
                "year": 2031,
                "scenario": "conservative",
                "p25": 59003.45,
                "p50": 64134.18,
                "p75": 69264.91,
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                    {
                        "name": "Inflation (CPI)",
                        "note": "2.8% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.6% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
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                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
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                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 58/100",
                        "weight": "medium",
                        "direction": "up"
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                    {
                        "name": "Automation exposure",
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                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
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                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
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                        "weight": "high",
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                ]
            },
            {
                "year": 2031,
                "scenario": "optimistic",
                "p25": 68009.74,
                "p50": 73923.63,
                "p75": 79837.52,
                "confidence": 38,
                "drivers": [
                    {
                        "name": "Inflation (CPI)",
                        "note": "2.8% annual price growth",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Wage growth",
                        "note": "3.6% nominal wage trend",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Role demand trend",
                        "note": "0.0% annual role demand",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Hiring demand",
                        "note": "Demand index 58/100",
                        "weight": "medium",
                        "direction": "up"
                    },
                    {
                        "name": "Automation exposure",
                        "note": "35% exposure",
                        "weight": "high",
                        "direction": "steady"
                    },
                    {
                        "name": "Real wage growth",
                        "note": "2.8% after 2.8% inflation",
                        "weight": "high",
                        "direction": "up"
                    },
                    {
                        "name": "Scenario growth",
                        "note": "5.6% modelled nominal growth",
                        "weight": "high",
                        "direction": "up"
                    }
                ]
            }
        ]
    },
    "skills": [],
    "sources": [
        {
            "name": "United States",
            "url": null,
            "type": "nearest_donor",
            "tier": "derived"
        },
        {
            "name": "Belize",
            "url": null,
            "type": "nearest_donor",
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        },
        {
            "name": "Lebanon, United States",
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            "type": "nearest_donor",
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    ],
    "faqs": [
        {
            "question": "What is the average salary of a Data scientists in San Diego, United States?",
            "answer": "SpotSalary models a median annual salary of $52.5K for a Data scientists in San Diego, United States, or about $4,372 per month before tax. The middle 50% of the estimate ranges from $42K to $60.9K, with a full P10–P90 range of $33.7K to $72.8K. This is a modelled estimate, not a job offer."
        },
        {
            "question": "How much does an entry-level Data scientists earn in San Diego, United States?",
            "answer": "The entry-level band for a Data scientists in San Diego, United States centres on $34.1K per year (P25–P75: $27.3K–$39.6K). Entry-level pay typically covers the first 2 years of experience and depends on company size, skills and responsibilities."
        },
        {
            "question": "How much does a senior or executive Data scientists earn in San Diego, United States?",
            "answer": "The executive band for a Data scientists in San Diego, United States has a median of $146.9K per year and a P75 of $170.4K. Senior and executive packages often include a larger bonus and equity component; this benchmark shows the total-compensation split for each level."
        },
        {
            "question": "What is the salary outlook for a Data scientists in San Diego, United States?",
            "answer": "The outlook is growing. In the base scenario, median pay reaches $68.9K by 2031, about 31.3% above today before inflation and 2.8% per year in real terms after 2.8% inflation. Scenario bands widen over time and are not guarantees."
        },
        {
            "question": "What is the take-home pay for a Data scientists in San Diego, United States?",
            "answer": "After an effective income tax rate of 8.1%, the mid-level Data scientists in San Diego, United States takes home about $48,204 per year, or $4,017 per month. The estimate uses imported national tax brackets and does not include social contributions or local levies."
        },
        {
            "question": "How does SpotSalary calculate these salary estimates?",
            "answer": "Estimates are anchored to external market signals — GDP per capita PPP, inflation, wage growth, cost of living, demand and automation exposure — and synthesised with AI. Deterministic validation rejects implausible outputs. This report carries 68% confidence."
        }
    ],
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        ],
        "occupation_hub": "https://www.spotsalary.com/occupations/data-scientists",
        "location_hub": "https://www.spotsalary.com/locations/san-diego-us-1840021990",
        "all_salaries": "https://www.spotsalary.com/salaries"
    },
    "citation": {
        "plain": "Data scientists Salary in San Diego, United States. SpotSalary. https://www.spotsalary.com/salary/data-scientists/san-diego-us-1840021990",
        "updated_at": "2026-11-05T12:09:54+00:00"
    }
}