Skillenai

Statistical modeling jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-11-04, Statistical modeling appears in 1,687 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning Statistical modeling, with demand share up 7.6% vs the prior 4 weeks.

Last updated · 90d ending 2026-11-04

Postings · last 90 days
1,687
Demand vs prior month
up 7.6% vs the prior 4 weeks
Top role · 38.9% of skill postings
Data Scientist
Top hiring metro
New York City

Which roles want Statistical modeling?

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Frequently asked questions about Statistical modeling

+Is Statistical modeling in demand in 2026?

Yes. Statistical modeling appears in 1,687 job postings indexed by Skillenai over the 90 days ending 2026-11-04. Data Scientist accounts for the most postings mentioning Statistical modeling (38.9% of all postings mentioning Statistical modeling).

+What jobs require Statistical modeling?

According to the Skillenai jobs index over the 90 days ending 2026-11-04, among roles with at least 20 postings, the highest shares mentioning Statistical modeling are Data Science Director (28.8% of that role’s postings mention Statistical modeling), Product Data Scientist (27.5% of that role’s postings mention Statistical modeling), Applied Data Scientist (22.2% of that role’s postings mention Statistical modeling).

+What skills are commonly paired with Statistical modeling?

Across job postings indexed by Skillenai (90 days ending 2026-11-04), Statistical modeling most often appears alongside Python, SQL, machine learning, R, data visualization.

+Where is Statistical modeling most in demand?

As of 2026-11-04, the metro areas posting the most jobs requiring Statistical modeling are New York City, Bengaluru, San Francisco, Toronto, San Jose, according to the Skillenai jobs index.

+How can I keep up with new Statistical modeling content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Statistical modeling alongside the jobs index. You can subscribe to a daily email digest of new Statistical modeling content from your Skillenai account.

+Which skills come before and after Statistical modeling?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring Statistical modeling — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Statistical modeling

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Statistical modeling

Before Statistical modelingpython → Statistical modeling: 15 observed employer moves with this skill pairsql → Statistical modeling: 8 observed employer moves with this skill pairExcel → Statistical modeling: 7 observed employer moves with this skill pairPower BI → Statistical modeling: 6 observed employer moves with this skill pairTableau → Statistical modeling: 6 observed employer moves with this skill pairmachine learning → Statistical modeling: 5 observed employer moves with this skill pairstatistical analysis → Statistical modeling: 5 observed employer moves with this skill pairETL → Statistical modeling: 4 observed employer moves with this skill pairStatisticalmodelingpython: 15 movespython15 movessql: 8 movessql8 movesExcel: 7 movesExcel7 movesPower BI: 6 movesPower BI6 movesTableau: 6 movesTableau6 movesmachine learning: 5 movesmachine learning5 movesstatistical analysis: 5 movesstatisticalanalysis5 movesETL: 4 movesETL4 moves

Skills after Statistical modeling

After Statistical modelingStatistical modeling → sql: 10 observed employer moves with this skill pairStatistical modeling → Tableau: 9 observed employer moves with this skill pairStatistical modeling → Power BI: 7 observed employer moves with this skill pairStatistical modeling → machine learning: 7 observed employer moves with this skill pairStatistical modeling → snowflake: 7 observed employer moves with this skill pairStatistical modeling → python: 7 observed employer moves with this skill pairStatistical modeling → dashboards: 6 observed employer moves with this skill pairStatistical modeling → predictive models: 6 observed employer moves with this skill pairStatisticalmodelingsql: 10 movessql10 movesTableau: 9 movesTableau9 movesPower BI: 7 movesPower BI7 movesmachine learning: 7 movesmachine learning7 movessnowflake: 7 movessnowflake7 movespython: 7 movespython7 movesdashboards: 6 movesdashboards6 movespredictive models: 6 movespredictive models6 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python15
Before: sql8
Before: Excel7
Before: Power BI6
Before: Tableau6
Before: machine learning5
Before: statistical analysis5
Before: ETL4
After: sql10
After: Tableau9
After: Power BI7
After: machine learning7
After: snowflake7
After: python7
After: dashboards6
After: predictive models6

Roles most likely to require Statistical modeling

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Data Science Director1728.8%
Product Data Scientist1127.5%
Applied Data Scientist622.2%
Commercial Analytics Manager416.7%
Quantitative Analyst3116.6%
People Analytics Analyst315.0%
Research Intern1113.9%
Business Intelligence Architect313.6%
Quantitative Engineer313.6%
Research Analyst313.6%

Roles with the most Statistical modeling postings

RolePostings mentioning skillShare of skill postings
Data Scientist65638.9%
Data Analyst905.3%
Machine Learning Engineer472.8%
Software Engineer402.4%
Applied Scientist311.8%
Quantitative Analyst311.8%
ML Engineer271.6%
AI Engineer231.4%
Business Analyst201.2%
Data Science Manager191.1%

Top companies posting jobs requiring Statistical modeling

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Statistical modeling
CompanyPostings · 90 days
Capital One52
Stripe27
Barclays26
General Motors17
Accenture17
HP15
Micron15
Vanguard14
Oscar14
TransUnion13

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for Statistical modeling

NamePostingsShare
New York City814.8%
Bengaluru472.8%
San Francisco432.5%
Toronto301.8%
San Jose251.5%
Chicago221.3%
London221.3%
Hyderabad211.2%
Mountain View211.2%

Skills commonly paired with Statistical modeling

Python (1,314)SQL (1,037)machine learning (1,016)R (574)data visualization (429)Tableau (309)predictive modeling (245)causal inference (243)Power BI (216)deep learning (211)

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-04. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Statistical modeling by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Statistical modeling postings by all Statistical modeling postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.6% to 0.7%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
fb3f0b1417016e52
data_as_of
2026-11-04
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index