Telegram RegisterThe public register of Telegram
Telegram profile photo for Data Science Jobs

Channel

Data Science Jobs

@datasciencejobs

On this record: Topic · Growth · Engagement · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

22,515subscribers

+988 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001321264581
TypeChannel
Username@datasciencejobs
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live1 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 1 November 2026
On Telegramt.me/datasciencejobs

Topic

Job listings — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

21,52722,51522,0216 August 2026 — 21,527 subscribers6 August 2026 — 21,527 subscribers7 August 2026 — 21,536 subscribers8 August 2026 — 21,544 subscribers9 August 2026 — 21,546 subscribers10 August 2026 — 21,549 subscribers11 August 2026 — 21,575 subscribers11 August 2026 — 21,588 subscribers12 August 2026 — 21,614 subscribers14 August 2026 — 21,628 subscribers15 August 2026 — 21,633 subscribers16 August 2026 — 21,641 subscribers17 August 2026 — 21,649 subscribers19 August 2026 — 21,660 subscribers20 August 2026 — 21,677 subscribers21 August 2026 — 21,698 subscribers22 August 2026 — 21,710 subscribers24 August 2026 — 21,726 subscribers25 August 2026 — 21,747 subscribers26 August 2026 — 21,759 subscribers27 August 2026 — 21,778 subscribers28 August 2026 — 21,801 subscribers29 August 2026 — 21,811 subscribers30 August 2026 — 21,820 subscribers31 August 2026 — 21,843 subscribers1 September 2026 — 21,851 subscribers2 September 2026 — 21,854 subscribers4 September 2026 — 21,882 subscribers6 September 2026 — 21,906 subscribers9 September 2026 — 21,957 subscribers12 September 2026 — 21,990 subscribers13 September 2026 — 22,014 subscribers15 September 2026 — 22,024 subscribers17 September 2026 — 22,057 subscribers25 September 2026 — 22,137 subscribers4 October 2026 — 22,197 subscribers8 October 2026 — 22,281 subscribers13 October 2026 — 22,320 subscribers14 October 2026 — 22,353 subscribers15 October 2026 — 22,372 subscribers16 October 2026 — 22,404 subscribers17 October 2026 — 22,395 subscribers18 October 2026 — 22,397 subscribers19 October 2026 — 22,415 subscribers20 October 2026 — 22,430 subscribers21 October 2026 — 22,443 subscribers22 October 2026 — 22,461 subscribers23 October 2026 — 22,467 subscribers24 October 2026 — 22,464 subscribers25 October 2026 — 22,466 subscribers26 October 2026 — 22,475 subscribers27 October 2026 — 22,476 subscribers28 October 2026 — 22,484 subscribers29 October 2026 — 22,493 subscribers30 October 2026 — 22,506 subscribers31 October 2026 — 22,510 subscribers1 November 2026 — 22,515 subscribers6 August 20261 November 2026
57 measurements spanning 87 days, net +988. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 21,379–22,663 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
1 Nov 2026, 17:4522,515+5
31 Oct 2026, 14:5722,510+4
30 Oct 2026, 18:3122,506+13
29 Oct 2026, 15:0922,493+9
28 Oct 2026, 17:5722,484+8
27 Oct 2026, 14:4622,476+1
26 Oct 2026, 15:3022,475+9
25 Oct 2026, 18:3822,466+2
24 Oct 2026, 18:2722,464-3
23 Oct 2026, 19:1822,467+6
22 Oct 2026, 17:5822,461+18
21 Oct 2026, 13:3922,443+13
20 Oct 2026, 09:4622,430+15
19 Oct 2026, 12:3722,415+18
18 Oct 2026, 14:3722,397+2
17 Oct 2026, 17:1022,395-9
16 Oct 2026, 20:0122,404+32
15 Oct 2026, 18:0922,372+19
14 Oct 2026, 15:5622,353+33
13 Oct 2026, 04:5622,320first reading

Engagement

78 posts held, back to 19 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 82 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.5%
avg views ÷ 22,515 subscribers
Avg views / post
2,820
16 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
16
of 78 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 21 October 2026
Posts held78 (19 June 2026 – 21 October 2026)
Views total45,082
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 08:18 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Advertising

Ad load
17.9%
14 of 78 posts carry an ad marker
Regulatory tokens
13
posts carrying an erid · 12 distinct tokens
Median views · ads
2,260
over 14 measured posts
Median views · rest
4,570
over 64 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFJNcKA928 October 202610 October 2026
2SDnjcxR5eB123 July 202623 July 2026
2VtzqxH5B3A11 October 20261 October 2026
2VtzqxXkYRZ112 August 202612 August 2026
2W5zFGE4Juo12 September 20262 September 2026
2W5zFGtJXaR131 August 202631 August 2026
2W5zFHEouWZ11 September 20261 September 2026
2W5zFHtQqLm12 September 20262 September 2026
2W5zFHzJkpR117 August 202617 August 2026
2W5zFJgMprV118 October 202618 October 2026
2W5zFJnBgaD12 September 20262 September 2026
2W5zFK9sxHP12 October 20262 October 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 78 most recent posts we hold, published 19 June 2026 to 21 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

21 Oct 2026, 07:29 UTC662 viewsread 21 October 2026

#вакансия #fulltime #удаленка #Senior Локация: РФ Формат: Удаленно Период: долгосрок Занятость: фуллтайм Оформление по договору с ИП Оплата: от 1200 рублей в час до 1500 рублей в час Applied Scientist / MLOps Engineer (Обезличивание данных / Privacy AI) Чем предстоит заниматься (Ключевые задачи): 1. Развитие классификатора данных для полей БД (Tabular ML) Развитие существующей ML-модели (RandomForest), которая выя…

20 Oct 2026, 06:03 UTC≈1,740 viewsread 21 October 2026
Photo

🦾 LLM умеют генерировать тексты, отвечать на вопросы и работать с документами. Но чтобы использовать их в реальных задачах, важно понимать, как модели принимают решения и почему иногда дают неожиданный результат. 🚀 На открытом уроке разберём, как устроены большие языковые модели и как применять эти знания на практике. Вы узнаете: — как модель выбирает слова и формирует ответ; — как развернуть LLM локально и провери…

18 Oct 2026, 08:04 UTC≈2,240 viewsread 21 October 2026
Advertisementerid 2W5zFJgMprVPhoto

📘 На Mentorix вышел курс — «Vibecoding для инженеров: Claude Code, Cursor и Copilot на практике» Хотите отдавать задачи AI-агенту и выпускать код, который проходит ревью, а не только тесты агента? Этот курс — путь от спеки до релиза функции вместе с агентом. • Постановка задачи: спека, критерии приёмки, CLAUDE.md и AGENTS.md • Контроль: ревью диффа, выдуманные функции, TDD, мутационные тесты • Отладка и git: стоп-с…

17 Oct 2026, 16:51 UTC≈2,740 viewsread 21 October 2026

#вакансия #LLM #MLengineer #DataScience #PyTorch #NLP Ищем LLM / ML Engineer с практическим опытом обучения языковых моделей. Задача — обучение с нуля специализированных моделей на 1–10 млрд параметров. Основные направления: разработка ПО, понимание сложных русскоязычных текстов и function calling. Проекты для заказчиков под NDA — подробности обсудим лично. Задачи: – Подготавливать данные и выстраивать пайплайны …

15 Oct 2026, 09:04 UTC≈3,250 viewsread 21 October 2026
Photo

Центральный университет запускает Программу трансляционных исследований — инициативу для научных команд, которые хотят превратить результаты своего исследования в работающий прототип для реального сектора. Сейчас открыт конкурс на годовую программу поддержки. Заявки можно подать до 1 декабря. Для этого руководителю научной команды нужно заполнить форму на сайте. Программа ориентирована на проекты по восьми приорите…

13 Oct 2026, 10:01 UTC≈3,290 viewsread 21 October 2026

#вакансия #vacancy #удалённо #data #engineer #dataengineer ❕Аккредитованная ИТ-компания "Системы и Алгоритмы" ищет Инженера данных)❕ Роль: Data-engineer З/П: 270 000 - 295 000 р. gross Формат работы: удаленно по РФ Вид занятости: full-time Локация: любой город РФ Гражданство: РФ ✨Преимущества позиции: • Участие в масштабном проекте цифровой трансформации, влияющем на ключевые производственные процессы. • Возможнос…

12 Oct 2026, 06:04 UTC≈1,560 viewsread 12 October 2026
Photo

Разработчик больше не обязан выполнять каждую задачу вручную. Но сможет ли ИИ-агент действительно помочь в работе? ИИ-агенты уже умеют анализировать код, работать с инструментами, искать ошибки и выполнять последовательность действий. Но важно понимать, какие задачи им можно доверить, где они действительно экономят время и как сохранить контроль над результатом. На открытом уроке 19 октября в 20:00 МСК в преддверие…

11 Oct 2026, 11:31 UTC≈3,700 viewsread 21 October 2026

Ищем LLM / ML Engineer с практическим опытом обучения языковых моделей. Задача — обучение с нуля специализированных моделей на 1B–10B параметров. Основные направления: разработка ПО, понимание сложных русскоязычных текстов и function calling. Проекты для заказчиков под NDA — подробности обсудим лично. Задачи: – Подготавливать данные и выстраивать пайплайны обучения. – Проводить эксперименты с архитектурами, метода…

10 Oct 2026, 10:46 UTC≈2,440 viewsread 12 October 2026
Advertisementerid 2W5zFJNcKA9Photo

🤖 RAG Engineering: создание production-ready AI-систем — новый курс на Mentorix Поиск и ответы по документам компании, качество которых измеряется числами: гибридный поиск, реранкер, оценка на скрытом наборе вопросов, агентный цикл и сервис с правами доступа. ⚙️ Стек: Qdrant · PostgreSQL с pgvector · BM25 · парсинг PDF · MCP · FastAPI — практика на настоящих системах в браузере 🧩 325 шагов · 100 тестов · 65 задач 💻…

9 Oct 2026, 09:10 UTC≈3,810 viewsread 21 October 2026

#Senior #Data_Engineer Senior Data инженер Компания: RedLab Локация: РФ, РБ Гражданство: РФ, РБ Опыт: больше 5-ти лет Формат работы: удаленно Занятость: Полная/проектная ЗП: 350 000 - 380 000 RUB (гросс), оформление по ГПХ Требования: • Опыт работы Data Engineer от 5 лет. • Знание методологии Data Vault 2.0 • Уверенные знания Python/Scala/Java для разработки ETL/ELT-процессов и сервисов обработки данных. • Отличное…

8 Oct 2026, 07:00 UTC≈1,930 viewsread 10 October 2026
Advertisementerid 2W5zFJNcKA9Photo

🤖 RAG Engineering: создание production-ready AI-систем — новый курс на Mentorix Поиск и ответы по документам компании, качество которых измеряется числами: гибридный поиск, реранкер, оценка на скрытом наборе вопросов, агентный цикл и сервис с правами доступа. ⚙️ Стек: Qdrant · PostgreSQL с pgvector · BM25 · парсинг PDF · MCP · FastAPI — практика на настоящих системах в браузере 🧩 325 шагов · 100 тестов · 65 задач 💻…

7 Oct 2026, 08:13 UTC≈2,220 viewsread 8 October 2026
Photo

Оффер на аналитика с зарплатой 250к🤘 ..после полугода безрезультных поисков. Ещё один интересный кейс у команды ии-ассистента Софи. ▫️Артём 3 года работал в сфере аналитики, попал под сокращение. ▫️Полгода искал работу вручную — тратил около 2 часов в день. После зашел в Софи и подключил авто-отклики. ▫️Спустя 3 недели получил оффер на позицию Middle Аналитика. В следующий раз доступ в Софи откроется 20 октября…

Showing the 12 most recent of 78 posts we hold for @datasciencejobs. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@datasciencejobs edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
13 August 2026
Most recent edit
13 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

ODS #jobs
@odsjobs · 14,502
#1
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 15,077
#2
Dev & ML Connectable Jobs
@dev_connectablejobs · 28,869
#3
Job for Analysts & Data Scientists
@foranalysts · 37,677
#4
Нескучный Data Science Jobs
@not_boring_ds_jobs · 9,379
#5
Data Science Jobs
@datascienceml_jobs · 21,599
#6
Data Science 🛸 & ML Jobs за рубежом
@opento_data · 7,709
#7
Data Secrets
@data_secrets · 95,783
#8
Data jobs feed
@datajobschannel · 12,574
#9
Нескучный Data Science
@not_boring_ds · 12,080
#10
Machinelearning
@ai_machinelearning_big_data · 276,828
#11
Data Secrets | Карьера
@data_secrets_career · 7,372
#12
🏆 AIeron | Data Feeling
@datafeeling · 14,221
#13
ФКН: Вакансии
@vacancy_cs · 18,186
#14
Институт AIRI
@airi_research_institute · 13,941
#15
Connectable Jobs
@zarubezhom_jobs · 105,598
#16
Start Career in DS
@start_ds · 11,482
#17
Mashkka про Data Science
@mashkka_ds · 5,305
#18
Phystech.Career
@phystechcareerchannel · 7,495
#19
🏄 Соревновательный Data Science | Kaggle | Чемпионаты
@data_science_winners · 3,365
#20
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,308
#21
Complete AI
@complete_ai · 7,870
#22
Зарплатник Аналитика
@zarplatnik_analytics · 11,699
#23
Al Talent Hub
@aitalenthubnews · 7,821
#24
Инжиниринг Данных
@rockyourdata · 23,688
#25
Пристанище Дата Сайентиста
@renat_alimbekov · 6,292
#26
MLinside - школа ML
@ml_inside · 4,081
#27
Тагир Анализирует
@tagir_analyzes · 11,666
#28
Data Job | Data Science в Германии 🇩🇪
@datajob_io · 882
#29
(sci)Berloga Всех Наук и Технологий
@sberlogabig · 8,017
#30
Data Analytics Jobs | Вакансии
@data_hr · 11,130
#31
NLP jobs
@nlp_jobs · 2,330
#32
karpov.courses
@KarpovCourses · 27,324
#33
Библиотека собеса по Data Science | вопросы с собеседований
@ds_interview_lib · 4,468
#34
DziS Science | Data Science
@dzis_science · 2,192
#35
Your Dream Data Job
@dreamdatajob · 1,423
#36
ML / DS_Jobs
@ml_data_science_job · 2,329
#37
ml.log | AI, ML & MLOps
@ml_log · 2,509
#38
Big Data Science job
@bds_job · 1,841
#39
Data Science | Вопросы собесов
@easy_ds · 4,873
#40
Data Science | Machinelearning [ru]
@devsp · 19,700
#41
Data Engineer Работа Вакансии
@de_rabota · 5,205
#42
Remocate: релокация, удалёнка, работа и вакансии
@evacuatejobs · 140,599
#43
Яндекс нанимает | Вакансии для разработчиков
@ya_jobs · 33,077
#44
PyMagic
@pymagic · 5,534
#45
Время Валеры
@cryptovalerii · 31,960
#46
эйай ньюз
@ai_newz · 98,043
#47
Сиолошная
@seeallochnaya · 80,914
#48
DeepSchool
@deep_school · 10,775
#49
Take Friends to Luna Park
@hrlunapark · 20,809
#50
New Yorko Times
@new_yorko_times · 10,698
#51
Machine learning Interview
@machinelearning_interview · 30,577
#52
Борис опять
@boris_again · 17,960
#53
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,114
#54
Dealer.AI
@dealerAI · 16,925
#55
Yandex for ML
@yandexforml · 19,123
#56
Kali Novskaya
@rybolos_channel · 19,138
#57
LLM под капотом
@llm_under_hood · 30,043
#58
Kantor.AI
@kantor_ai · 12,230
#59
что-то на DL-ском
@nadlskom · 5,143
#60
grokaem себя
@grokaem_seby · 2,744
#61
Жёлтый AI
@zheltyi_ai · 9,369
#62
ML for Value / Ваня Максимов
@ml4value · 5,685
#63
Denis Sexy IT 🤖
@denissexy · 139,396
#64
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 46,938
#65
AIMoLdin Jobs (DSML.KZ)
@ml_jobs_kz · 11,217
#66
Математика Дата саентиста
@data_math · 14,410
#67
Анализ данных (Data analysis)
@data_analysis_ml · 51,929
#68
РИСЕРЧОШНАЯ
@researchoshnaya · 2,467
#69
Just links
@j_links · 6,941
#70
Пресидский залив
@neural_prosecco · 8,386
#71
ODS Events
@datafest · 8,859
#72
Reliable ML
@reliable_ml · 6,616
#73
Дратути Антон
@blog_toxa · 4,369
#74
DLStories
@dl_stories · 15,559
#75
AbstractDL
@abstractDL · 18,825
#76
Вадим Новосёлов | Карьера и удалёнка в IT
@gernar228 · 5,698
#77
kyrillic
@kyrillic · 60,921
#78
Запрети мне псевдолейблить
@pseudolabeling · 4,475
#79
Information Retriever
@inforetriever · 4,159
#80
Computer Science Abroad
@computerscienceabroad · 5,002
#81
razinkov.ai
@razinkov_ai · 2,711
#82
No Data No Growth | Pavel Bukhtik
@nodatanogrowth · 12,791
#83
Записки Ппилифа
@ppilif_chanel · 4,491
#84
Машинное обучение RU
@machinelearning_ru · 18,344
#85
partially unsupervised
@partially_unsupervised · 10,549
#86
Neural Shit
@NeuralShit · 54,617
#87
Стать специалистом по машинному обучению
@toBeAnMLspecialist · 10,866
#88
еба́ные идеи для резерча
@ebaresearch · 5,389
#89
Старший Авгур
@senior_augur · 8,573
#90
Заметки Computer Vision инженера
@CVML_team · 6,117
#91
Душный NLP
@stuffyNLP · 6,711
#92
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,776
#93

Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Job for Analysts & Data Scientists
@foranalysts · 37,677
Telegram ranks this channel #1 of 96 here — alongside 95 others — read 1 September 2026
Data Science Jobs
@datascienceml_jobs · 21,599
Telegram ranks this channel #2 of 97 here — alongside 96 others — read 24 September 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 28,869
Telegram ranks this channel #8 of 94 here — alongside 93 others — read 10 September 2026
Data Science | Machinelearning [ru]
@devsp · 19,700
Telegram ranks this channel #19 of 91 here — alongside 90 others — read 30 September 2026
karpov.courses
@KarpovCourses · 27,324
Telegram ranks this channel #30 of 96 here — alongside 95 others — read 10 September 2026
Machinelearning
@ai_machinelearning_big_data · 276,828
Telegram ranks this channel #31 of 95 here — alongside 94 others — read 10 August 2026
🌎 CHOICY.WORK: Global карьера | вакансии | стартапы | удалёнка
@choicy_work · 27,530
Telegram ranks this channel #32 of 95 here — alongside 94 others — read 11 September 2026
Яндекс нанимает | Вакансии для разработчиков
@ya_jobs · 33,077
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 5 September 2026
Connectable Jobs
@zarubezhom_jobs · 105,598
Telegram ranks this channel #39 of 94 here — alongside 93 others — read 15 August 2026
Take Friends to Luna Park
@hrlunapark · 20,809
Telegram ranks this channel #41 of 88 here — alongside 87 others — read 28 September 2026
Data Secrets
@data_secrets · 95,783
Telegram ranks this channel #42 of 98 here — alongside 97 others — read 17 August 2026
Get IT
@Getitrussia · 21,965
Telegram ranks this channel #45 of 97 here — alongside 96 others — read 24 September 2026
Remote Junior (INFLOW)
@remotejun · 26,744
Telegram ranks this channel #45 of 98 here — alongside 97 others — read 12 September 2026
Data Science
@datascienceiot · 42,582
Telegram ranks this channel #45 of 76 here — alongside 75 others — read 29 August 2026
Young & Junior - вакансии IT
@young_june · 78,238
Telegram ranks this channel #45 of 99 here — alongside 98 others — read 20 August 2026
Relocate.Me: Jobs & Moving Abroad
@relocateme · 34,609
Telegram ranks this channel #48 of 89 here — alongside 88 others — read 3 September 2026
Инжиниринг Данных
@rockyourdata · 23,688
Telegram ranks this channel #52 of 93 here — alongside 92 others — read 17 September 2026
Python Job | Вакансии | Стажировки
@job_python · 23,358
Telegram ranks this channel #57 of 96 here — alongside 95 others — read 19 September 2026
IT Relocation (Inflow)
@Relocats · 33,212
Telegram ranks this channel #59 of 92 here — alongside 91 others — read 5 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 51,929
Telegram ranks this channel #63 of 93 here — alongside 92 others — read 25 August 2026
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 46,938
Telegram ranks this channel #71 of 90 here — alongside 89 others — read 28 August 2026
Python вопросы с собеседований
@python_job_interview · 24,950
Telegram ranks this channel #77 of 90 here — alongside 89 others — read 15 September 2026
Job for Junior
@jobforjunior · 85,835
Telegram ranks this channel #79 of 99 here — alongside 98 others — read 18 August 2026
Время Валеры
@cryptovalerii · 31,960
Telegram ranks this channel #80 of 94 here — alongside 93 others — read 6 September 2026

This channel appears in 29 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 1 November 2026 — this entry's latest reading, not the date you are reading this.

“Data Science Jobs” (@datasciencejobs), 22,515 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/datasciencejobs.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.