Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,757 postings in the last year. Stated ranges, not salaries paid.
Data Scientist – NAICS Classification & Analytics
- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop automated processes to assign, validate, and update NAICS codes across company databases
Build predictive models to identify prospective clients and business development opportunities
Use machine learning and NLP to improve industry classification accuracy
Identify discrepancies in NAICS classifications and recommend corrections
Create dashboards, reports, and visualizations for sales, marketing, and leadership
From the employer’s posting
Develop automated processes to assign, validate, and update NAICS codes across company databases.
Build predictive models to identify prospective clients and business development opportunities.
Use machine learning and natural language processing (NLP) to improve industry classification accuracy.
Identify discrepancies in NAICS classifications and recommend corrections.
Create dashboards, reports, and visualizations to communicate findings to stakeholders.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in data science, computer science, statistics, mathematics, or related field
- Strong proficiency in Python and SQL
- Knowledge of NAICS codes and industry classification methodologies
- Experience with machine learning, predictive analytics, and statistical modeling
Qualification wording
Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
Strong proficiency in Python and SQL.
Knowledge of NAICS codes and industry classification methodologies.
Experience with machine learning, predictive analytics, and statistical modeling.
Education & alternatives
Qualifications Required: - Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field. - 3+ years of experience in data science, data analytics, or a related technical field.
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 202610 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 10
Similar jobs usually come down between day 7 and day 57.
From 10,581 similar postings that came down. Coming down is not always a hire.
Alliantgroup, LP is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- Power BI
- Tableau
- GCP
Where the posting names them
This individual will be responsible for analyzing, classifying, and interpreting business data to identify industry trends, market opportunities, and potential clients. The ideal candidate will have strong technical expertise in Python, SQL, data modeling, and machine learning, along with an understanding of industry classification systems. Key Responsibilities
- 3+ years of experience in data science, data analytics, or a related technical field. - Strong proficiency in Python and SQL. - Experience working with large business datasets.•Knowledge of NAICS codes and industry classification methodologies.
- Knowledge of market segmentation, lead scoring, and business intelligence. - Experience with cloud platforms such as AWS, Azure, or Google Cloud. alliant offers a comprehensive compensation and benefits package including 100% employer paid medical /dental premiums for single coverage for certain options, 401(k) matching, PTO, company provided life insurance and disability, onsite gym and group exercise classes, paid covered parking, and more!
- Experience working with NAICS and SIC classification systems. - Familiarity with business intelligence platforms such as Power BI or Tableau. - Experience with NLP, text classification, and automated industry mapping.
Your next step
Complete your application on alliantgroup.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
We are seeking a highly analytical and detail-oriented Data Scientist with experience working with North American Industry Classification System (NAICS) codes, large datasets, and advanced analytics.
This individual will be responsible for analyzing, classifying, and interpreting business data to identify industry trends, market opportunities, and potential clients.
The ideal candidate will have strong technical expertise in Python, SQL, data modeling, and machine learning, along with an understanding of industry classification systems.
Key Responsibilities
- Analyze large datasets to identify business trends, industry patterns, and market opportunities.
- Utilize NAICS codes to accurately classify businesses by industry and sector.
- Develop automated processes to assign, validate, and update NAICS codes across company databases.
- Build predictive models to identify prospective clients and business development opportunities.
- Clean, organize, and standardize large volumes of company and industry data.
- Develop algorithms to match companies with appropriate NAICS classifications based on business descriptions, products, and services.
- Use machine learning and natural language processing (NLP) to improve industry classification accuracy.
- Identify discrepancies in NAICS classifications and recommend corrections.
- Work closely with sales, marketing, business development, and leadership teams to provide actionable insights.
- Create dashboards, reports, and visualizations to communicate findings to stakeholders.
- Integrate information from external business databases and public industry datasets.
- Continuously improve data quality, classification methodologies, and analytical processes.
Qualifications Required:
- Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in data science, data analytics, or a related technical field.
- Strong proficiency in Python and SQL.
- Experience working with large business datasets.•Knowledge of NAICS codes and industry classification methodologies.
- Experience with machine learning, predictive analytics, and statistical modeling.
- Strong data cleansing, validation, and data management skills.
- Ability to translate complex data into meaningful business insighs
Preferred:
- Experience working with NAICS and SIC classification systems.
- Familiarity with business intelligence platforms such as Power BI or Tableau.
- Experience with NLP, text classification, and automated industry mapping.
- Experience with business databases such as Dun & Bradstreet, ZoomInfo, or similar platforms.
- Knowledge of market segmentation, lead scoring, and business intelligence.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
alliant offers a comprehensive compensation and benefits package including 100% employer paid medical /dental premiums for single coverage for certain options, 401(k) matching, PTO, company provided life insurance and disability, onsite gym and group exercise classes, paid covered parking, and more!
Do Work That Matters. alliant
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Houston, TX
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.