Data Scientist – NAICS Classification & Analytics

Alliant Group; Houston (TX); In loco; USD 110.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical benefits

401(k) matching

PTO

Life insurance and disability

Onsite gym and group exercise classes

Paid parking

Descrizione del lavoro

Alliant Group in Houston, TX seeks a Data Scientist to analyze and interpret business data, applying NAICS codes and advanced analytics to classify industries and derive actionable insights.

You will build predictive models, clean and integrate large datasets, develop automated NAICS mapping workflows, and present dashboards to stakeholders across the organization.

The role requires 3+ years in data science, strong Python/SQL, and experience with ML and NLP, with an onsite workplace in Houston.

Competenze

• Bachelor’s degree in a relevant field.
• 3+ years of data science or analytics experience.
• Strong Python and SQL skills.
• Experience with large datasets.
• Knowledge of NAICS codes and classification methodologies.
• Experience with machine learning, predictive analytics, and statistical modeling.
• Ability to translate complex data into meaningful business insights.

Mansioni

• Analyze large datasets to identify trends and opportunities.
• Apply NAICS codes to classify businesses by industry.
• Design automated processes to assign and update NAICS codes across company databases.
• Develop predictive models for identifying prospective clients and business opportunities.
• Create dashboards and visualizations to communicate findings to stakeholders.
• Collaborate with sales, marketing, business development, and leadership teams to deliver insights.

Conoscenze

Python

SQL

Large datasets

NAICS codes

Machine learning

Statistical modeling

Data cleaning

Data validation

Business insights

Formazione

Bachelor's degree in data science / CS / statistics / mathematics

Strumenti

Power BI

Tableau

NLP

AWS

Azure

Google Cloud

Descrizione del lavoro

Alliant Group is seeking a Data Scientist to help analyze and interpret business data using NAICS codes and advanced analytics. In this onsite role in Houston, TX, you will build predictive models and improve automated NAICS classification and mapping workflows using large datasets and machine learning.

The work focuses on transforming messy, multi-source business information into accurate industry classifications and decision-ready insights for stakeholders across the organization.

Responsibilities

• Analyze large datasets to identify business trends, industry patterns, and market opportunities.
• Apply NAICS codes to accurately classify businesses by industry and sector.
• Design automated processes to assign, validate, and update NAICS codes across company databases.
• Develop predictive models to identify prospective clients and business development opportunities.
• Clean, organize, and standardize large volumes of company and industry data.
• Create algorithms that match companies to appropriate NAICS classifications using business descriptions, products, and services.
• Use machine learning and natural language processing (NLP) to improve industry classification accuracy.
• Detect discrepancies in NAICS classifications and recommend corrections.
• Partner with sales, marketing, business development, and leadership teams to deliver actionable insights.
• Produce 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.

Requirements

• 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 skills in data cleansing, validation, and data management.Ability to translate complex data into meaningful business insights.

Technologies

• Python
• SQL
• Power BI
• Tableau
• NLP
• AWS
• Azure
• Google Cloud

Benefits

• 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

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.