обновлено 4 дня назад
Senior Data Scientist (AI)
183 013$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI) (Machine Learning/Campaign Data): Building predictive models, data pipelines, and analytical tools from large-scale datasets with an accent on campaign data models, entity resolution, and actionable data storytelling. Focus on developing turnout and partisanship models, deploying data science products with engineering teams, and applying emerging AI technologies to research and development challenges.
Location: Remote within the United States; open to candidates anywhere in the United States
Salary: Starting at $183,013 per year
Company
is a civic engagement organization that provides data-driven insights, organizing tools, and services to help communities and partner organizations lead change.
What you will do
- Lead data science projects spanning predictive modeling, algorithm design, analysis, and data pipelines.
- Develop campaign data science models, including partisanship and voter turnout models.
- Explore large datasets to generate insights that inform product development and feature prioritization.
- Transform data into actionable insights through analysis, visualization, memos, and presentations.
- Collaborate with engineering to bring data science products and concepts into production.
- Mentor junior data scientists and prototype emerging AI approaches for research and development challenges.
Requirements
- 6+ years of experience as a Data Scientist or in an equivalent role producing models and analytics for business applications.
- Advanced knowledge of data science techniques, machine learning algorithms, and optimization methods.
- Experience building and deploying machine learning models and developing data pipelines.
- Strong proficiency in Python, SQL, Git, and advanced data visualization.
- Excellent problem-solving, leadership, communication, and cross-functional collaboration skills.
- Ability to mentor junior team members and communicate data-driven insights to stakeholders.
Nice to have
- Experience with organizing, advocacy, voter file data, or campaign data science.
- Familiarity with dbt and Dagster.
- Experience with polling, survey analysis, or multilevel regression and poststratification modeling.
- Bachelor’s or Master’s degree in a quantitative or related field.
Culture & Benefits
- Full-time salaried employment with comprehensive benefits.
- Health, vision, and dental insurance with premiums covered for employees and qualifying family members.
- Retirement benefits with a 5% employer match and flexible unlimited PTO.
- Paid parental leave, mental health and wellness benefits, and a yearly professional development fund.
- Flexible remote work with a home office setup stipend, monthly remote-work expense reimbursement, and company laptop.
- Yearly in-person staff retreats and a culture focused on diversity, equity, inclusion, belonging, respect, and collaboration.
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