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Associate Data Scientist at Software Finder
201 District, Virginia, United States -
Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Excel, Google Sheets, Web Scraping, Data Cleaning, Data Enrichment, Workflow Automation, Analytical Skills, Attention to Detail, Collaboration, Fast-Paced Environment, Lead Generation, Data Accuracy, CRM Systems, Campaign Objectives, Data Workflows

Industry

IT Services and IT Consulting

Description
About the Role: We are seeking an Associate Data Scientist to drive high-quality data sourcing, cleaning, and automation to support outbound prospecting and lead generation. In this role, you will extract, prepare, and enrich prospect lists, research new lead sources, and build Python-based scraping tools to ensure data accuracy for our CRM systems. You will work closely with marketing and business development teams to align data initiatives with campaign objectives, while continuously improving and scaling data workflows for speed, accuracy, and efficiency. Key Responsibilities: Extract, clean, and prepare prospect data based on campaign briefs. Research and identify new lead sources to enhance prospecting efforts. Build and maintain Python-based scraping and automation tools. Ensure data accuracy, enrichment, and proper integration into CRM systems. Collaborate with marketing and business development teams to align data outputs with campaign goals. Continuously optimize and scale data workflows for efficiency and reliability. Qualifications: Proficiency in Python, Excel/Google Sheets, and web scraping tools. Strong analytical skills and attention to detail. Experience with data cleaning, enrichment, and workflow automation. Ability to work collaboratively in a fast-paced, campaign-driven environment. Prior experience in data-driven marketing, sales operations, or lead generation is a plus.
Responsibilities
The Associate Data Scientist will extract, clean, and prepare prospect data while researching new lead sources. They will build and maintain Python-based scraping tools to ensure data accuracy for CRM systems.