Data Scientist

Summary

Join Murmuration, a nonprofit organization, as a Data Scientist and practice "full-stack" data science, shepherding projects from concept to completion. You will work with large datasets, build pipelines, and develop predictive models, particularly focusing on campaign data and entity resolution. Collaborate with cross-functional teams, including engineering, product, and research. The role requires 2+ years of experience in data science, proficiency in Python and SQL, and strong analytical and communication skills. Murmuration offers a comprehensive benefits package including full health insurance, retirement matching, flexible PTO, parental leave, remote work options, and professional development funds.

Requirements

• 2+ years of work experience as a Data Scientist or equivalent role producing models and analytics for business applications
• Solid understanding of advanced data science techniques, machine learning algorithms, and optimization methods
• Experience with predictive analytics and building machine learning models
• Experience working with voter file data and in campaign data science
• Familiarity with data engineering and data pipelines
• Skill in using advanced data visualization to effectively communicate insights and tell compelling stories with data
• Proficiency in programming languages (Python and SQL), version control (Git), and the ability to learn and apply new data science tools and techniques efficiently
• Exceptional problem-solving abilities and a bias for rapid prototyping and iteration
• Capacity to work collaboratively with cross-functional teams and stakeholders

Responsibilities

• Execute data science projects, including predictive modeling, algorithm design, and data pipelines
• Develop innovative, industry-leading campaign data science models, specifically partisanship and turnout models
• Independently (and often collaboratively) explore data sets for insights and understand what can help drive product development and feature prioritization
• Transform data into actionable and compelling insights through analysis and visualization, and then effectively communicate these data-driven stories to internal and external stakeholders through memos and presentations
• Collaborate with the engineering team to take data science products and concepts into production

Preferred Qualifications

• Domain expertise in organizing and advocacy
• Familiarity with data engineering tools, such as dbt and Dagster
• Bachelor’s or Master’s Degree in Statistics, Computer Science, Mathematics, Physics, Economics, Computer Engineering, or a related field

Benefits

• Health, vision, and dental insurance with 100% of premiums covered for you and qualifying family members
• Retirement benefits with a 5% employer match
• A flexible unlimited PTO plan
• Generous paid parental leave
• Pre-tax commuter benefits
• A company laptop
• A flexible remote work environment
• A home office setup stipend for all new employees
• Monthly reimbursement for remote work expenses
• A yearly professional development fund
• Mental health and wellness benefits through Calm and Better Help
• Yearly in-person staff retreats
• A welcoming culture that celebrates diversity, equity, inclusion, and belonging