Data Scientist Jobs

About The Position

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.