statistical models jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, statistical models appears in 122 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning statistical models.
Last updated · 90d ending 2026-10-30
Which roles want statistical models?
Upload your resume and Skillenai will show which roles your statistical models experience fits, which skills you already cover, and what is missing.
Frequently asked questions about statistical models
+Is statistical models in demand in 2026?
Yes. statistical models appears in 122 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Scientist accounts for the most postings mentioning statistical models (18.9% of all postings mentioning statistical models).
+What jobs require statistical models?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning statistical models are Data Science Consultant (11.8% of that role’s postings mention statistical models), Bioinformatics Scientist (8.3% of that role’s postings mention statistical models), Credit Risk Manager (8.0% of that role’s postings mention statistical models).
+What skills are commonly paired with statistical models?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), statistical models most often appears alongside Python, SQL, machine learning, R, Tableau.
+Where is statistical models most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring statistical models are New York City, San Francisco, Toronto, Hyderabad, Barcelona, according to the Skillenai jobs index.
+How can I keep up with new statistical models content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning statistical models alongside the jobs index. You can subscribe to a daily email digest of new statistical models content from your Skillenai account.
+Which skills come before and after statistical models?
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 models — last 90 days
Career paths around statistical models
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before statistical models
Skills after statistical models
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.
| Connection | Moves |
|---|---|
| Before: python | 12 |
| Before: R | 9 |
| Before: sql | 7 |
| Before: Power BI | 4 |
| Before: Tableau | 4 |
| Before: data cleaning | 3 |
| Before: C++ | 3 |
| Before: Excel | 3 |
| After: python | 7 |
| After: sql | 6 |
| After: dashboards | 4 |
| After: R | 3 |
| After: Excel | 3 |
| After: Tableau | 3 |
| After: statistical analysis | 3 |
| After: numpy | 2 |
Roles most likely to require statistical models
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Data Science Consultant | 8 | 11.8% |
| Bioinformatics Scientist | 2 | 8.3% |
| Credit Risk Manager | 2 | 8.0% |
| Demand Planner | 1 | 5.0% |
| Data Science Director | 3 | 4.9% |
| AI/ML Scientist | 1 | 4.5% |
| Clinical Data Scientist | 1 | 4.3% |
| Business Analyst Intern | 1 | 4.0% |
| Finance Data Analyst | 1 | 3.8% |
| Analytics Lead | 2 | 3.7% |
Roles with the most statistical models postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 23 | 18.9% |
| Data Science Consultant | 8 | 6.6% |
| Data Analyst | 7 | 5.7% |
| Advanced Analytics Lead | 4 | 3.3% |
| Machine Learning Engineer | 4 | 3.3% |
| Applied Scientist | 3 | 2.5% |
| Data Science Director | 3 | 2.5% |
| Software Engineer | 3 | 2.5% |
| AI Consultant | 2 | 1.6% |
| AI Decision Science Analyst | 2 | 1.6% |
Top companies posting jobs requiring statistical models
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Accenture | 13 |
| Airbnb | 4 |
| Barclays | 3 |
| NBCUniversal | 3 |
| JJ | 3 |
| HotelTonight | 2 |
| Blue Cross | 2 |
| Novartis | 2 |
| Spotify | 2 |
| KordaMentha | 2 |
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 models
| Name | Postings | Share |
|---|---|---|
| New York City | 11 | 9.0% |
| San Francisco | 5 | 4.1% |
| Toronto | 5 | 4.1% |
| Hyderabad | 3 | 2.5% |
| Barcelona | 2 | 1.6% |
| Chicago | 2 | 1.6% |
| London | 2 | 1.6% |
| Melbourne | 2 | 1.6% |
| Mumbai | 2 | 1.6% |
Skills commonly paired with statistical models
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 2026-10-30. 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 models by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s statistical models postings by all statistical models 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 29dee63509aa6229
- data_as_of
- 2026-10-30
- window_days
- 90