Data Scientist – NAICS Classification & Analytics

alliantgroup; Houston (TX); In loco; USD 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Alliantgroup LP. is seeking a highly analytical Data Scientist to work with NAICS codes, large datasets, and advanced analytics in Houston. You will classify, interpret, and synthesize business data to identify industry trends and opportunities for potential clients.

The role emphasizes Python, SQL, data modeling, ML, and NLP with close collaboration with sales, marketing, and leadership to deliver actionable insights and dashboards. Experience with NAICS/SIC systems is a plus.

Competenze

• Bachelor's degree in data science, CS, statistics, mathematics, or related field.
• 3+ years of experience in data science or analytics.
• Strong proficiency in Python and SQL.
• Experience 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.

Mansioni

• Analyze large datasets to identify business trends and market opportunities.
• Utilize NAICS codes to classify businesses by industry and sector.
• Develop automated processes to assign and update NAICS codes across databases.
• Build predictive models to identify prospective clients and opportunities.
• Clean, organize, and standardize large volumes of data.
• Develop algorithms to map companies to NAICS classifications based on descriptions.
• Apply ML and NLP to improve classification accuracy.
• Identify discrepancies in NAICS classifications and propose corrections.
• Collaborate with sales, marketing, and leadership to provide actionable insights.
• Create dashboards, reports, and visualizations for stakeholders.
• Integrate information from external business databases and public datasets.
• Continuously improve data quality and analytical processes.

Conoscenze

Python

SQL

Data modeling

Machine learning

NLP

NAICS codes

Large datasets

Business insights

Formazione

Bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related field

Strumenti

Power BI

Tableau

Dun & Bradstreet

ZoomInfo

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.

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!

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