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hypothesis testing jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, hypothesis testing appears in 733 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning hypothesis testing, with demand share up 7.1% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
733
Demand vs prior month
up 7.1% vs the prior 4 weeks
Top role · 28.1% of skill postings
Data Scientist
Top hiring metro
New York City

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Frequently asked questions about hypothesis testing

+Is hypothesis testing in demand in 2026?

Yes. hypothesis testing appears in 733 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Scientist accounts for the most postings mentioning hypothesis testing (28.1% of all postings mentioning hypothesis testing).

+What jobs require hypothesis testing?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning hypothesis testing are Product Analytics Manager (15.6% of that role’s postings mention hypothesis testing), Data Science Analyst (14.7% of that role’s postings mention hypothesis testing), People Analytics Analyst (11.1% of that role’s postings mention hypothesis testing).

+What skills are commonly paired with hypothesis testing?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), hypothesis testing most often appears alongside Python, SQL, R, data visualization, A/B testing.

+Where is hypothesis testing most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring hypothesis testing are New York City, London, San Francisco, Singapore, Bengaluru, according to the Skillenai jobs index.

+How can I keep up with new hypothesis testing content and jobs?

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

+Which skills come before and after hypothesis testing?

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 hypothesis testing — last 90 days

Salary distribution

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

Career paths around hypothesis testing

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before hypothesis testing

Before hypothesis testingpython → hypothesis testing: 25 observed employer moves with this skill pairsql → hypothesis testing: 24 observed employer moves with this skill pairTableau → hypothesis testing: 21 observed employer moves with this skill pairPower BI → hypothesis testing: 11 observed employer moves with this skill pairExcel → hypothesis testing: 9 observed employer moves with this skill pairpandas → hypothesis testing: 9 observed employer moves with this skill pairnumpy → hypothesis testing: 8 observed employer moves with this skill pairETL → hypothesis testing: 6 observed employer moves with this skill pairhypothesistestingpython: 25 movespython25 movessql: 24 movessql24 movesTableau: 21 movesTableau21 movesPower BI: 11 movesPower BI11 movesExcel: 9 movesExcel9 movespandas: 9 movespandas9 movesnumpy: 8 movesnumpy8 movesETL: 6 movesETL6 moves

Skills after hypothesis testing

After hypothesis testinghypothesis testing → Tableau: 17 observed employer moves with this skill pairhypothesis testing → sql: 17 observed employer moves with this skill pairhypothesis testing → python: 11 observed employer moves with this skill pairhypothesis testing → scikit-learn: 11 observed employer moves with this skill pairhypothesis testing → Power BI: 11 observed employer moves with this skill pairhypothesis testing → Excel: 11 observed employer moves with this skill pairhypothesis testing → pandas: 9 observed employer moves with this skill pairhypothesis testing → numpy: 8 observed employer moves with this skill pairhypothesistestingTableau: 17 movesTableau17 movessql: 17 movessql17 movespython: 11 movespython11 movesscikit-learn: 11 movesscikit-learn11 movesPower BI: 11 movesPower BI11 movesExcel: 11 movesExcel11 movespandas: 9 movespandas9 movesnumpy: 8 movesnumpy8 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: python25
Before: sql24
Before: Tableau21
Before: Power BI11
Before: Excel9
Before: pandas9
Before: numpy8
Before: ETL6
After: Tableau17
After: sql17
After: python11
After: scikit-learn11
After: Power BI11
After: Excel11
After: pandas9
After: numpy8

Roles most likely to require hypothesis testing

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

RolePostings mentioning skill% of role postings mentioning skill
Product Analytics Manager515.6%
Data Science Analyst514.7%
People Analytics Analyst311.1%
Data Science Consultant810.8%
AI Strategist39.7%
Product Data Scientist57.9%
Principal Data Scientist37.5%
Senior Data Scientist27.4%
Analytics Director76.4%
Data Analytics Specialist26.2%

Roles with the most hypothesis testing postings

RolePostings mentioning skillShare of skill postings
Data Scientist20628.1%
Product Manager7610.4%
Data Analyst598.0%
Machine Learning Engineer314.2%
Business Analyst212.9%
Software Engineer121.6%
Product Designer111.5%
Product Analyst101.4%
Analytics Manager81.1%
Data Science Consultant81.1%

Top companies posting jobs requiring hypothesis testing

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

Top companies posting jobs requiring hypothesis testing
CompanyPostings · 90 days
Capital One23
Accenture21
Grab15
General Motors13
Agoda11
WPP10
Tripledotstudios9
Quora9
Motional7
Haus6

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 hypothesis testing

NamePostingsShare
New York City334.5%
London263.5%
San Francisco223.0%
Singapore202.7%
Bengaluru131.8%
San Jose121.6%
Toronto111.5%
Barcelona101.4%
Berlin101.4%

Skills commonly paired with hypothesis testing

Python (470)SQL (416)R (212)data visualization (195)A/B testing (188)machine learning (180)Tableau (165)regression (139)Data analysis (126)Statistical analysis (104)

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 hypothesis testing by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s hypothesis testing postings by all hypothesis testing 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: 0.3% to 0.3%. 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 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
b8bdad3ba4f20851
data_as_of
2026-09-30
window_days
90
Hiring engineers who use hypothesis testing?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index