Data Scientist – NAICS Classification & Analytics

alliantgroup LP; Houston (TX); In loco; USD 90.000 - 140.000; Tempo pieno

Vantaggi offerti da questo lavoro

Full medical coverage

401(k) match

Paid time off

Life insurance

Disability insurance

Onsite gym

Free parking

Descrizione del lavoro

ALLIANT CYBERSECURITY is seeking a Data Scientist to analyze large business datasets, apply NAICS classifications, and build predictive models to identify opportunities. You will develop automated NAICS assignment processes and collaborate with sales and leadership to drive strategy.

The role requires strong Python/SQL, ML, and NLP skills, plus experience with large datasets and data quality improvement. A data-driven approach and effective communication are essential.

Competenze

• Bachelor’s degree in data science, CS, statistics, mathematics, or a related field.
• 3+ years of experience in data science, data analytics, or a related technical field.

Mansioni

• 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 descriptions, products, and services.
• Use ML and NLP to improve industry classification accuracy.
• Identify discrepancies in NAICS classifications and recommend corrections.
• Collaborate with sales, marketing, BD, and leadership to provide actionable insights.
• Create dashboards, reports, and visualizations to communicate findings to stakeholders.
• Integrate info from external business databases and public datasets.
• Continuously improve data quality and classification methodologies.

Conoscenze

Python

SQL

NLP

Machine learning

Data modeling

Data cleansing

Formazione

Bachelor’s degree in data science, CS, statistics, math

Strumenti

Power BI

Tableau

Descrizione del lavoro

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.

Benefits & Compensation

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 alliantgroup, LP is currently experiencing explosive growth! As a national consulting firm focused on being the voice to the middle market, our mission is simple: Strengthening US businesses. How do we do this? We hire the brightest talent with the most diverse backgrounds who do work that matters. alliantgroup has been helping American businesses overcome the challenges of today to prepare them for the future. Our most sought after service has been helping companies identify and leverage the largest federal and state incentives available including ERC, R&D, and 179D. Our industry experts and four former IRS commissioners help our clients claim what they deserve. Learn more about how the R&D tax credit started and how you can do work that matters!