Data Scientist – NAICS Classification & Analytics

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.