statistical significance jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, statistical significance appears in 84 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning statistical significance.
Last updated · 90d ending 2026-10-30
Which roles want statistical significance?
Upload your resume and Skillenai will show which roles your statistical significance experience fits, which skills you already cover, and what is missing.
Frequently asked questions about statistical significance
+Is statistical significance in demand in 2026?
Yes. statistical significance appears in 84 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Scientist accounts for the most postings mentioning statistical significance (16.7% of all postings mentioning statistical significance).
+What jobs require statistical significance?
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 significance are Head of Product (5.0% of that role’s postings mention statistical significance), Growth Product Manager (4.0% of that role’s postings mention statistical significance), Applied Data Scientist (3.6% of that role’s postings mention statistical significance).
+What skills are commonly paired with statistical significance?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), statistical significance most often appears alongside A/B testing, SQL, Python, Tableau, Snowflake.
+Where is statistical significance most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring statistical significance are Singapore, New York City, San Francisco, London, Mexico City, according to the Skillenai jobs index.
+How can I keep up with new statistical significance content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning statistical significance alongside the jobs index. You can subscribe to a daily email digest of new statistical significance content from your Skillenai account.
+Which skills come before and after statistical significance?
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 significance — last 90 days
Career paths around statistical significance
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before statistical significance
Skills after statistical significance
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: Tax implications | 1 |
| Before: investment options explanation | 1 |
| Before: COBOL | 1 |
| Before: Financial instruments | 1 |
| Before: portfolio performance | 1 |
| Before: mainframe technology | 1 |
| Before: Db2 | 1 |
| Before: JCL | 1 |
| After: Placement | 1 |
| After: Recurrent neural networks (RNNs) | 1 |
| After: alignment | 1 |
| After: client sales and marketing activities | 1 |
| After: Feedforward Neural Networks (FNNs) | 1 |
| After: Random Forest | 1 |
| After: Gradient Boosting Machine (GBM) | 1 |
| After: goal setting | 1 |
Roles most likely to require statistical significance
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Head of Product | 1 | 5.0% |
| Growth Product Manager | 2 | 4.0% |
| Applied Data Scientist | 1 | 3.6% |
| Product Data Analyst | 2 | 3.4% |
| Product Analyst | 7 | 3.4% |
| Business Intelligence Director | 1 | 3.1% |
| Pricing Analyst | 1 | 2.2% |
| Growth Engineer | 1 | 1.9% |
| Data Science Director | 1 | 1.6% |
| Marketing Analyst | 1 | 1.1% |
Roles with the most statistical significance postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 14 | 16.7% |
| Product Manager | 9 | 10.7% |
| Data Analyst | 8 | 9.5% |
| Product Analyst | 7 | 8.3% |
| CRO Manager | 3 | 3.6% |
| Head of Experimentation | 3 | 3.6% |
| AI / Machine Learning Engineer | 2 | 2.4% |
| Backend Engineer | 2 | 2.4% |
| Business Intelligence Analyst | 2 | 2.4% |
| Growth Product Manager | 2 | 2.4% |
Top companies posting jobs requiring statistical significance
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Workato | 6 |
| LaunchDarkly | 4 |
| Nord Security | 3 |
| RevenueCat | 3 |
| Gen Digital | 2 |
| Humanoid | 2 |
| Liberty Mutual Insurance | 2 |
| Dialogue | 2 |
| Canva | 2 |
| Credible | 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 significance
| Name | Postings | Share |
|---|---|---|
| Singapore | 4 | 4.8% |
| New York City | 3 | 3.6% |
| San Francisco | 3 | 3.6% |
| London | 2 | 2.4% |
| Mexico City | 2 | 2.4% |
| Mountain View | 2 | 2.4% |
| Sydney | 2 | 2.4% |
| Almaty | 1 | 1.2% |
| Amsterdam | 1 | 1.2% |
Skills commonly paired with statistical significance
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 significance by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s statistical significance postings by all statistical significance 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
- f515a3d8350ccd73
- data_as_of
- 2026-10-30
- window_days
- 90