Senior Data Scientist

at  Democratic Senatorial Campaign Committee

Washington, DC 20002, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate07 Aug, 2024Not Specified08 May, 2024N/ADc,Models,Openness,Python,Capitol Hill,Constructive Feedback,R,SqlNoNo
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Description:

SKILLS AND QUALIFICATIONS

  • At least two cycles of political experience
  • Experience using models for analysis and targeting
  • Advanced experience in SQL
  • Advanced experience in Python or R
  • Familiarity (if not direct experience) with early vote data and targeting
  • Experience automating data ingestion, standardization, or QC processes
  • Strong organizational skills and attention to detail
  • Strong problem solving skills, and the ability to thrive in a fast-paced, evolving environment
  • Collaborative approach to working with other teams and partners, and openness to constructive feedback
    This position is based in DC. This position is expected to work out of the DSCC office located on Capitol Hill

How To Apply:

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Responsibilities:

  • Use historical and in-cycle data to provide strategic advice to DSCC, Senate campaigns, and coordinated campaigns
  • Work with National Data and Analytics Director to project manage analytics vendors to ensure models and other analytics tools are delivered on time and meet quality standards
  • Support vendors and staff in utilizing models for targeting mail, digital, and direct voter contact programming
  • Support the DSCC’s early vote reporting and analysis work, including:
  • Develop systems to ensure data arriving for reporting is accurate, synthesized, and up to date
  • Create automated analysis tools to support understanding of early vote trends
  • Write actionable analysis for stakeholders across the DSCC and state teams about what early vote data mean for the state of the race.
  • Produce written materials clearly communicating analysis and providing clear and actionable recommendations to program staff
  • Collaborate with other members of the DSCC and state teams to ensure models and early vote analysis are being translated to voter contact programs
  • Build, document, and maintain scalable code to support both ongoing and one-off analysis projects


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

Washington, DC 20002, USA