Data Scientist – NAICS Classification & Analytics

Posted 8 Hours Ago
Be an Early Applicant
Houston, TX, USA
In-Office
Mid level
Professional Services • Consulting • Financial Services
The Role
Analyzes large business datasets using Python, SQL, machine learning, and NLP to classify companies by NAICS codes, identify market opportunities, and support lead generation. Develops automated classification processes, predictive models, data quality improvements, dashboards, and reports. Collaborates with sales, marketing, business development, and leadership teams to deliver actionable insights.
Summary Generated by Built In

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

Skills 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 insights
  • Experience working with NAICS and SIC classification systems
  • Familiarity with Power BI or Tableau
  • Experience with NLP, text classification, and automated industry mapping
  • Experience with Dun & Bradstreet, ZoomInfo, or similar business databases
  • Knowledge of market segmentation, lead scoring, and business intelligence
  • Experience with AWS, Azure, or Google Cloud
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Houston, TX
830 Employees
Year Founded: 2002

What We Do

alliantgroup, LP is the leading international tax specialty services provider, working with CPA firms and their clients to ensure companies receive the full benefit of federal and state tax incentives to create jobs and spurring innovation. No other firm has alliantgroup's combination of talent, resources, and experience to substantiate business claims. We hear time and again from our clients how much they value our industry knowledge, attention to detail, and consideration for their time. Our people and culture set us apart as a firm, and our staff includes professionals from a diverse array of fields, including architecture, engineering, software development, chemistry, and accounting. alliantgroup also maintains an active Strategic Advisory Board of former law and policymakers, bringing a deep bench of expertise from Washington insiders on the forefront of tax legislation. In addition, our firm works closely with industry and CPA organizations to educate and spread the word of the many credits and deductions available to small to medium-sized businesses.

Similar Jobs

PNC Bank Logo PNC Bank

Cloud Security Engineer

Machine Learning • Payments • Security • Software • Financial Services
Remote or Hybrid
USA
55000 Employees
91K-203K Annually

Rapid7 Logo Rapid7

Sales Engineer

Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Remote or Hybrid
United States
2400 Employees
111K-150K Annually

Wipfli Logo Wipfli

Architect

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
117K-158K Annually

Wipfli Logo Wipfli

Credit Review Manager

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees

Similar Companies Hiring

Cravath, Swaine & Moore LLP Thumbnail
Legal Tech • Other • Professional Services
New York, NY
1200 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
VCA Animal Hospitals Thumbnail
Pet • Professional Services
Los Angeles, CA
35000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account