time series jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, time series appears in 246 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning time series.
Last updated · 90d ending 2026-10-30
Which roles want time series?
Upload your resume and Skillenai will show which roles your time series experience fits, which skills you already cover, and what is missing.
Frequently asked questions about time series
+Is time series in demand in 2026?
Yes. time series appears in 246 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Scientist accounts for the most postings mentioning time series (44.3% of all postings mentioning time series).
+What jobs require time series?
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 time series are Quantitative Engineer (10.0% of that role’s postings mention time series), Principal Data Scientist (5.3% of that role’s postings mention time series), ML Researcher (5.0% of that role’s postings mention time series).
+What skills are commonly paired with time series?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), time series most often appears alongside Python, SQL, machine learning, R, deep learning.
+Where is time series most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring time series are McLean, San Francisco, New York City, Pleasanton, Austin, according to the Skillenai jobs index.
+How can I keep up with new time series content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning time series alongside the jobs index. You can subscribe to a daily email digest of new time series content from your Skillenai account.
+Which skills come before and after time series?
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 time series — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around time series
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before time series
Skills after time series
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: sql | 10 |
| Before: Tableau | 6 |
| Before: ETL | 3 |
| Before: Power BI | 3 |
| Before: Excel | 3 |
| Before: ETL pipelines | 2 |
| Before: a/b testing | 2 |
| After: python | 6 |
| After: Tableau | 6 |
| After: R | 4 |
| After: ETL | 4 |
| After: PySpark | 4 |
| After: a/b testing | 4 |
| After: NLP | 3 |
| After: inventory management | 2 |
Roles most likely to require time series
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Quantitative Engineer | 2 | 10.0% |
| Principal Data Scientist | 2 | 5.3% |
| ML Researcher | 1 | 5.0% |
| Data Science Director | 3 | 4.9% |
| AI Consultant | 5 | 4.9% |
| Engineering Leader | 1 | 4.8% |
| Quant Developer | 1 | 4.8% |
| Senior Data Scientist | 1 | 3.7% |
| Data Science Consultant | 2 | 2.9% |
| Front End Software Engineer | 1 | 2.9% |
Roles with the most time series postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Scientist | 109 | 44.3% |
| Data Analyst | 12 | 4.9% |
| Software Engineer | 7 | 2.8% |
| Data Science Manager | 6 | 2.4% |
| Machine Learning Engineer | 6 | 2.4% |
| AI Consultant | 5 | 2.0% |
| AI Decision Science Analyst | 5 | 2.0% |
| Capital Markets, FX Specialist | 4 | 1.6% |
| Data Scientist Manager | 4 | 1.6% |
| ML Engineer | 4 | 1.6% |
Top companies posting jobs requiring time series
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Capital One | 73 |
| Accenture | 13 |
| AstraZeneca | 7 |
| Avathon | 6 |
| General Motors | 5 |
| Stripe | 4 |
| Nord Security | 4 |
| Crusoe | 3 |
| Cognite | 3 |
| NiCE | 3 |
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 time series
| Name | Postings | Share |
|---|---|---|
| McLean | 9 | 3.7% |
| San Francisco | 6 | 2.4% |
| New York City | 5 | 2.0% |
| Pleasanton | 5 | 2.0% |
| Austin | 4 | 1.6% |
| Chennai | 4 | 1.6% |
| Paris | 4 | 1.6% |
| Pune | 4 | 1.6% |
| Toronto | 4 | 1.6% |
Skills commonly paired with time series
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 time series by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s time series postings by all time series 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
- 9c143afe229d230e
- data_as_of
- 2026-10-30
- window_days
- 90