Data Scientist – NAICS Classification & Analytics

Alliant Group • Houston, TX

6d

About The Position

Alliant is seeking a highly analytical, detail-oriented Data Scientist experienced with NAICS codes, large datasets, and advanced analytics. The role analyzes, classifies, and interprets business data to identify industry trends, market opportunities, and potential clients. It uses Python, SQL, data modeling, and machine learning, together with knowledge of industry classification systems, to improve data quality and provide actionable business insights.

Requirements

• Bachelor’s degree in data science, computer science, statistics, mathematics, or a related field.
• At least 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.

Nice To Haves

• Experience 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.

Responsibilities

• Analyze large datasets to identify business trends, industry patterns, and market opportunities.
• Use NAICS codes to 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 company and industry data.
• Develop algorithms that match companies with NAICS classifications using business descriptions, products, and services.
• Use machine learning and natural language processing to improve classification accuracy.
• Identify discrepancies in NAICS classifications and recommend corrections.
• Work with sales, marketing, business development, and leadership teams to provide actionable insights.
• Create dashboards, reports, and visualizations for stakeholders.
• Integrate information from external business databases and public industry datasets.
• Improve data quality, classification methodologies, and analytical processes.

Benefits

• Comprehensive compensation and benefits package.
• 100% employer-paid medical and dental premiums for single coverage for certain options.
• 401(k) matching.
• PTO.
• Company-provided life insurance and disability coverage.
• Onsite gym and group exercise classes.
• Paid covered parking.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level