What it pays
Government survey numbers — not estimates, not ads.
Half of all Statisticians in the U.S. earn more than $105,650 a year — the middle 80% land between $64,000 and $174,050. About 29,030 people in the U.S. do this work. Figures are for the U.S. occupation group “Statisticians”. (U.S. Bureau of Labor Statistics survey, published 2025.) In India, Professionals earn about ₹38,298 a month on average — around ₹4.6 lakh a year (government PLFS survey via ILOSTAT, occupation-family figure).
$105,650typical pay / year
29,030people in this work
$174,050+top 10% earn
₹4.6 lakha year in India (family avg)
Think you get this job?Six quick questions on how it really works — with a hint and the reason behind every answer.
Test yourself →The work, task by task
These are the real jobs-to-be-done, not a wish list. Each task shows where we found it, and the prompt underneath is written for that exact task.
Analysing3
Apply statistical methods to data
+Apply hypothesis tests and regression diagnostics to the operational dataset from last quarter, flag…
Apply statistical methods to data
+Apply hypothesis tests and regression diagnostics to the operational dataset from last quarter, flag variables that violate assumptions, estimate effect sizes with confidence intervals, and produce a short summary of methods and results for the team by Wednesday noon.
The tools that do the workIBM SPSS StatisticsESCOjob descriptionsO*NETWikipedia
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Analyze data to identify trends
+Analyze the monthly performance logs to extract trend lines, seasonal components, and change points, quantify…
Analyze data to identify trends
+Analyze the monthly performance logs to extract trend lines, seasonal components, and change points, quantify trend magnitude for each metric, and send a one-page brief with plots and recommended next steps to Priya and Marco by Friday.
The tools that do the workApache Sparkjob descriptionsO*NETWikipedia
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Develop and apply statistical principles
+Design and implement the statistical framework for the optimization project: specify priors or assumptions,…
Develop and apply statistical principles
+Design and implement the statistical framework for the optimization project: specify priors or assumptions, choose estimators and validation strategy, simulate performance under three scenarios, and deliver a methods document with code snippets to the engineering lead by next Monday.
The tools that do the workC++job descriptionsO*NET
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Keeping the record3
Collect data
+Collect the last six months of sensor and transaction records from the shared repositories, validate…
Collect data
+Collect the last six months of sensor and transaction records from the shared repositories, validate timestamps and IDs, remove duplicates, and hand over a clean merged file with a readme describing missingness to the data science folder before end of day tomorrow.
The tools that do the workLinuxESCOjob descriptionsWikipedia
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Produce statistical reports and visualizations
+Produce statistical tables and visualizations for the weekly ops review: distribution plots, KPI time series…
Produce statistical reports and visualizations
+Produce statistical tables and visualizations for the weekly ops review: distribution plots, KPI time series with confidence bands, and a short methods note; export them as presentation-ready images and attach the data table for Mark and the ops lead by Tuesday 9am.
The tools that do the workMicrosoft Exceljob descriptionsO*NETWikipedia
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Collect and organize data for analysis
+Gather source records from the billing, telemetry, and support feeds, standardize field names and types, join…
Collect and organize data for analysis
+Gather source records from the billing, telemetry, and support feeds, standardize field names and types, join them on customer and timestamp, document transformation rules, and produce a single analysable dataset for the modeling team by Thursday COB.
The tools that do the workMicrosoft Accessjob descriptionsO*NETWikipedia
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The daily work14
Assess reliability of source information
+Assess the reliability of the supplier data set from last quarter: check provenance of each table, confirm…
Assess reliability of source information
+Assess the reliability of the supplier data set from last quarter: check provenance of each table, confirm timestamp and collection method, quantify missingness and duplication rates, flag any sources with unexplained schema changes and recommend whether to trust them for optimization work.
The tools that do the workApache Sparkjob descriptionsO*NET
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Evaluate and describe data utility
+Evaluate the utility of the customer behavior data: measure coverage across required features, compute…
Evaluate and describe data utility
+Evaluate the utility of the customer behavior data: measure coverage across required features, compute signal-to-noise per field, estimate effective sample size for target segments, and write a one-page summary advising what can and cannot be used for model training.
The tools that do the workMicrosoft Exceljob descriptionsWikipedia
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Use software like R, Python, SAS, SQL
+Run the standard ETL and exploratory scripts on the new ingestion using our statistical toolchain, produce…
Use software like R, Python, SAS, SQL
+Run the standard ETL and exploratory scripts on the new ingestion using our statistical toolchain, produce cleaned tables with documented transformations, run basic regressions and classification checks, and export the resulting code and datasets for modelers to reproduce.
The tools that do the workLinuxjob descriptionsWikipedia
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Build models and perform hypothesis testing
+Build predictive and baseline models from the marketing experiment data, run A/B hypothesis tests with…
Build models and perform hypothesis testing
+Build predictive and baseline models from the marketing experiment data, run A/B hypothesis tests with pre-registered metrics, report p-values, confidence intervals, effect sizes, and a recommendation on which variants to promote or kill.
The tools that do the workIBM SPSS Statisticsjob descriptions
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Liaise with management to define data needs
+Meet with Sarah in Product and Tom the VP this afternoon to agree the data fields and refresh cadence they…
Liaise with management to define data needs
+Meet with Sarah in Product and Tom the VP this afternoon to agree the data fields and refresh cadence they need for next-quarter optimization, capture acceptance criteria, deadlines, and who owns delivery so I can draft the ingestion spec.
The tools that do the workMicrosoft Officejob descriptions
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Create charts
+Create the visualization pack for last month’s performance: produce time-series charts for conversion and…
Create charts
+Create the visualization pack for last month’s performance: produce time-series charts for conversion and latency by channel, a segmented bar chart for revenue by cohort, and a one-slide summary highlighting anomalies to discuss on Tuesday.
The tools that do the workMicrosoft ExcelESCO
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Identify statistical patterns
+Scan the last twelve months of production logs and the A/B experiment table, identify recurring covariates…
Identify statistical patterns
+Scan the last twelve months of production logs and the A/B experiment table, identify recurring covariates and time-of-day effects, flag statistically significant patterns with p-values and effect sizes, and list plausible causal hypotheses for follow-up tests.
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Gather data
+Pull sensor, transaction, and user event feeds for the past 90 days, merge and clean the records into a…
Gather data
+Pull sensor, transaction, and user event feeds for the past 90 days, merge and clean the records into a single analysis table with timestamps aligned and missing values imputed, and produce a validation sample and schema for the modeling team.
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Process data
+Clean, validate and transform the January–June sensor and transaction logs into one canonical table keyed by…
Process data
+Clean, validate and transform the January–June sensor and transaction logs into one canonical table keyed by device_id and timestamp, flag missing values and outliers, and produce a daily-aggregated CSV ready for modeling by Thursday noon.
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Think analytically
+Review the anomaly trends in the last quarter, test three competing hypotheses for the drop in throughput,…
Think analytically
+Review the anomaly trends in the last quarter, test three competing hypotheses for the drop in throughput, and produce a concise list of evidence and next experiments to run with expected effect sizes by Tuesday COB.
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Perform data analysis
+Run the agreed feature set through the benchmarking scripts, calculate summary statistics and confidence…
Perform data analysis
+Run the agreed feature set through the benchmarking scripts, calculate summary statistics and confidence intervals for latency and error rate per cohort, then save the analyzed tables and a one-page summary for the product team by Wednesday morning.
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Apply statistical analysis techniques
+Apply a t-test and a bootstrap for the recent A/B window, check assumptions and report p-values, effect…
Apply statistical analysis techniques
+Apply a t-test and a bootstrap for the recent A/B window, check assumptions and report p-values, effect sizes, and power analysis with clear recommendations on whether to roll forward or collect more data by Friday.
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Apply scientific methods
+Design and log the next controlled experiment: write the hypothesis, define treatment and control metrics,…
Apply scientific methods
+Design and log the next controlled experiment: write the hypothesis, define treatment and control metrics, list required sample size and data collection plan, and schedule the first interim analysis in two weeks.
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Write work-related reports
+Compile the recent model evaluation, methodology, key plots and actionable recommendations into a two-page…
Write work-related reports
+Compile the recent model evaluation, methodology, key plots and actionable recommendations into a two-page report for Ravi in Product and Sandra in Ops, attach the underlying tables, and ask for comments by next Monday.
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Says who?
These are the pages we read to build this. Open any of them and check us.
The logs, files & records this job keeps
Shared with other careers — the same record means something different in each.
Related careers
Same family of work — each with its own tasks and prompts.
The LLOS Work Atlas is the world's largest evidenced task library — a map of human work, with a ready prompt behind every task. 1,774 careers · every task named by the sources that witnessed it — O*NET, ESCO, real job descriptions, Wikipedia — and the deepest tasks by several at once. And it is honest about limits: where AI cannot help, the map says so.
The rest of the map
Same library, five ways in.
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Built on public evidence: O*NET®, ESCO, Wikipedia, U.S. Bureau of Labor Statistics, ILOSTAT. All sources & licenses
Built on public evidence: O*NET®, ESCO, Wikipedia, U.S. Bureau of Labor Statistics, ILOSTAT. All sources & licenses