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.
Analysing5
Apply statistical methods to data
+Run the nightly data quality checks on the newest sensor batch, calculate means, variances and confidence…
Apply statistical methods to data
+Run the nightly data quality checks on the newest sensor batch, calculate means, variances and confidence intervals for each metric, flag variables with >15% missing or nonstationary behavior, and save the cleaned summary table for model training.
The tools that do the workIBM SPSS StatisticsESCOjob descriptionsO*NETWikipedia
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Analyze data to identify trends
+Take last quarter's user event logs, compute rolling averages and seasonality components, test trend…
Analyze data to identify trends
+Take last quarter's user event logs, compute rolling averages and seasonality components, test trend significance with a Mann–Kendall or linear regression, annotate notable shifts and export a trend brief for the product team.
The tools that do the workApache Sparkjob descriptionsO*NETWikipedia
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Collect data
+Query the live ingestion stream for today and yesterday, deduplicate records by user_id and timestamp, sample…
Collect data
+Query the live ingestion stream for today and yesterday, deduplicate records by user_id and timestamp, sample 10,000 rows stratified by region, and deposit the exported CSV in the shared data directory for exploratory analysis.
The tools that do the workApache HadoopESCOjob descriptionsWikipedia
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Collect and organize data for analysis
+Ingest the new client CSVs, standardize column types, normalize timestamps to UTC, create a master lookup for…
Collect and organize data for analysis
+Ingest the new client CSVs, standardize column types, normalize timestamps to UTC, create a master lookup for customer IDs, and publish the cleaned dataset with a data dictionary for analysts to use.
The tools that do the workMicrosoft Accessjob descriptionsO*NETWikipedia
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Develop and apply statistical principles
+Design and run hypothesis tests on the feature set: formalize nulls, compute power curves, fit logistic and…
Develop and apply statistical principles
+Design and run hypothesis tests on the feature set: formalize nulls, compute power curves, fit logistic and linear models where appropriate, and record parameter estimates plus assumptions in the modeling notebook.
The tools that do the workC++job descriptionsO*NET
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Keeping the record1
Produce statistical reports and visualizations
+Generate weekly statistical reports for the anomaly detection team: produce histograms, boxplots and a…
Produce statistical reports and visualizations
+Generate weekly statistical reports for the anomaly detection team: produce histograms, boxplots and a correlation matrix for key metrics, create an interactive dashboard with annotated outliers, and send the PDF report to the team lead.
The tools that do the workMicrosoft Exceljob descriptionsO*NETWikipedia
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The daily work14
Assess reliability of source information
+Assess the reliability of the supplier dataset by checking source provenance, percentage of missing…
Assess reliability of source information
+Assess the reliability of the supplier dataset by checking source provenance, percentage of missing timestamps, replication counts, and divergence from known benchmarks, then write a one-page judgment with confidence score and recommended exclusions.
The tools that do the workIBM SPSS Statisticsjob descriptionsO*NET
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Evaluate and describe data utility
+Evaluate and describe the utility of the customer engagement table for modeling churn: measure coverage of…
Evaluate and describe data utility
+Evaluate and describe the utility of the customer engagement table for modeling churn: measure coverage of target population, feature sparsity, class balance, predictive signal per feature, and list five recommended transformations and their expected uplift.
The tools that do the workMicrosoft Exceljob descriptionsWikipedia
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Use software like R, Python, SAS, SQL
+Prepare the analysis environment and run the requested scripts in the codebase using the available…
Use software like R, Python, SAS, SQL
+Prepare the analysis environment and run the requested scripts in the codebase using the available statistical languages to ingest the transactions table, produce cleaned training and test datasets, and save reproducible preprocessing notebooks and a README describing versions used.
The tools that do the workLinuxjob descriptionsWikipedia
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Build models and perform hypothesis testing
+Build candidate predictive models for conversion, run hypothesis tests on the top three features, report…
Build models and perform hypothesis testing
+Build candidate predictive models for conversion, run hypothesis tests on the top three features, report model performance with 95% confidence intervals, and attach a short decision memo recommending which hypothesis to deploy to A/B testing.
The tools that do the workApache Sparkjob descriptions
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Liaise with management to define data needs
+Meet with product and analytics leads and translate their roadmap into a prioritized list of five data…
Liaise with management to define data needs
+Meet with product and analytics leads and translate their roadmap into a prioritized list of five data requirements, specifying data sources, freshness needs, fields required, and the minimal SLAs we must meet to support next quarter's models.
The tools that do the workMicrosoft Officejob descriptions
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Create charts
+Create a set of three clear charts showing trend, distribution, and feature importance for the model input…
Create charts
+Create a set of three clear charts showing trend, distribution, and feature importance for the model input set, label axes and captions for a manager who doesn't code, and export them as presentation-ready images with short captions.
The tools that do the workMicrosoft ExcelESCO
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Identify statistical patterns
+Scan the last six months of transaction logs and feature stores, extract candidate variables, run comparative…
Identify statistical patterns
+Scan the last six months of transaction logs and feature stores, extract candidate variables, run comparative distributions and correlation tests, flag repeating seasonal or cohort patterns and deliver a two‑page summary with charts and significance levels by Thursday noon.
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Gather data
+Assemble user event logs, product metadata and billing tables for January through June, reconcile schema…
Gather data
+Assemble user event logs, product metadata and billing tables for January through June, reconcile schema mismatches, sample and validate missingness, and provide a cleaned CSV and a short data dictionary by Tuesday EOD.
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Process data
+Process the raw sensor logs from March and April, normalize timestamps to UTC, remove duplicated events, and…
Process data
+Process the raw sensor logs from March and April, normalize timestamps to UTC, remove duplicated events, and produce a single cleaned dataset partitioned by device_id and day ready for downstream feature extraction.
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Think analytically
+Review the model error cases from last week's rollout, run a root-cause analysis on the top 50 failures, and…
Think analytically
+Review the model error cases from last week's rollout, run a root-cause analysis on the top 50 failures, and produce concise hypotheses about bias, data drift, or feature leakage with suggested next experiments.
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Perform data analysis
+Aggregate user interaction events for the recommendation model for Q2, compute session-level metrics and…
Perform data analysis
+Aggregate user interaction events for the recommendation model for Q2, compute session-level metrics and cohort summaries, then deliver a reproducible analysis notebook with charts and exportable CSVs.
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Apply statistical analysis techniques
+Run hypothesis tests on A/B experiment results for the ranking change: compute confidence intervals, p-values…
Apply statistical analysis techniques
+Run hypothesis tests on A/B experiment results for the ranking change: compute confidence intervals, p-values for primary metrics, and flag any metrics with potential Type I or II error concerns plus recommendations.
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Apply scientific methods
+Design and run a controlled experiment to validate the new feature: define null and alternative, power…
Apply scientific methods
+Design and run a controlled experiment to validate the new feature: define null and alternative, power calculation to determine sample size, randomization scheme, and an analysis plan for primary and safety metrics.
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Write work-related reports
+Draft a concise report summarising model performance, recent data quality issues, key analysis steps, and…
Write work-related reports
+Draft a concise report summarising model performance, recent data quality issues, key analysis steps, and actionable recommendations for the product team with appendix containing reproducible commands and plots.
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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.
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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