Senior Data Scientist
Skills
Computer ScienceData AnalyticsEnhanced Data Rates For GSM EvolutionFeature PrioritizationModelingOpinion PollingOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 6+ years of experience as a Data Scientist or equivalent role producing models and analytics for business applications
- Deep understanding of advanced data science techniques machine learning algorithms and optimization methods
- Experience building and deploying machine learning models
- Proficiency in data engineering and data pipelines
- Skill in using advanced data visualization tools and techniques to communicate insights and tell compelling stories with data
- Mastery of Python and SQL version control Git and ability to learn new data science tools quickly
- Exceptional problem-solving abilities strong leadership skills and ability to communicate insights strategically to influence team direction
- Ability to mentor and guide junior team members in their technical growth and development
- Capacity to work collaboratively with cross-functional teams and stakeholders
Nice to have
- Collaborative
- Curious
- Creative
- Leadership-minded
- Strategic communicator
- Mentoring mindset
- Civic-minded
Day to day
- Lead full-stack data science projects from ideation through implementation across large and complex datasets.
- Develop predictive campaign models and entity resolution methods that improve turnout, partisanship, and issue-support scoring.
- Partner with engineering, product, and research teams to prototype solutions and move data science work into production.
- Translate analytical findings into clear visualizations, memos, and presentations that inform stakeholders and guide product decisions.
