Stacker is hiring a full-time data editor to help lead our growing data-driven newsroom. Stacker’s data analysis is the core of our journalism, and the rigor, accuracy and integrity of that analysis is at the heart of everything we do. We are looking for a newsroom leader who can step in to shape our coverage by editing and providing feedback on that analysis, expanding our work into new formats and data sources, and providing mentorship to our team of reporters and data reporters.
The Company
Stacker is a new media company excited by the future of journalism. Every day, our efforts center on developing new and more sustainable ways to produce, distribute, and fund great storytelling that contextualizes our world and drives impact for news publishers big and small. We do this through a number of ways—from our tech-forward storytelling method and freely accessible newswire, to offering a structured avenue for non-publisher organizations to participate and contribute to quality journalism.
Our ultimate mission is to empower the world’s publishers: through a commitment to provide free access to great storytelling and by championing innovation in how journalism is done, we enable our national- and local-scale publishing partners to engage their audiences and focus on their own original reporting.
As a bootstrapped company, we’re a resourceful team focused on building an inclusive, equitable culture around shared values of integrity, ownership, and collaboration. Building for the future is reflected in the way we work: we are remote-first, embrace flexible schedules, and offer competitive benefits and perks including unlimited vacation, an employee equity program, heath & dental coverage, and 401(k) matching.
We’re always looking for curious, media-minded thinkers to join the team. We encourage women, people of color, veterans, people with disabilities and gender nonconforming candidates to apply.
Responsibilities
As a Data Editor at Stacker, you’ll be working with a team of data reporters responsible for brainstorming story topics, analyzing data, and constructing journalistically sound story approaches. You’ll get to help elevate other people’s analysis, making it as strong and rigorous as possible, as well as work on your own stories.
As a data editor, you’ll be focused on:
- Reviewing and editing the data analysis for daily stories, feature stories and projects—i.e., stress-testing the methodological choices underlying our data analysis and statistical modeling, checking that any code used in that analysis is correct, and vetting the statistical and empirical claims being made.
- Elevating our storytelling scope with new formats and research angles (expansion into automated local series, data viz, investigative features)
- Sourcing new datasets to power compelling stories; reaching out to prospective data partners to build out a library of available sources
- Using statistical programming languages, such as Python or R, to pitch and create your own original analyses and models to tell stories.
- Working closely with the rest of our editorial team to ensure operational excellence — that our analytical output smoothly translates into authoritative final stories.
Requirements
- 3-4 years proficiency in Python, R, Stata, in a storytelling capacity. (Knowing every programming language or the most advanced statistical techniques is less important than having a nose for methodological shortcomings and blind spots.)
- A demonstrated record of working kindly, inclusively, and collaboratively.
- Experience conducting original data analysis, including statistical analyses, and critically evaluating others’ work.
- A deep understanding of traditional statistics (particularly causal inference) and, at a minimum, a conversational understanding of machine-learning techniques.
- Fluency in Tableau, Flourish, Datawrapper, or comparable softwares to turn data into interactive graphics.
- A track record of innovation and bias to action: you step into roles and improve processes or implement new ideas effectively
Nice-to-have’s
We don’t expect candidates to check all the boxes above, let alone all the boxes below. But these skills and experiences would make a candidate more appealing and/or more likely to succeed.
- More extensive statistical skills and experience. You’ve built statistical models, for example.
- More extensive data viz skills and experience. For example, experience with JavaScript, D3, or comparable languages/libraries for creating custom visualizations.
- Experience reviewing and evaluating academic papers to identify and correct methodological flaws.
- You have done all or some of this in a journalism environment.
Benefits
Employee wellbeing is top of mind for the Stacker team. We offer the following for benefits to all team members:
- Competitive Base
- Equity Stock Option Program
- Full Health & Dental Coverage
- Fully Remote Team
- Unlimited PTO
- 401k Matching
- 3 Months of Paid Family Leave
- Weekly Meal Expense
- $250 Annual Education Stipend + StackerU continuous learning curriculum
- Annual Team Offsites
- Monthly Virtual Social Events
- Awesome team culture!
Stacker is dedicated to creating a diverse and inclusive newsroom that reflects the communities we serve. We encourage women, people of color, veterans, people with disabilities and gender nonconforming candidates to apply.
Stacker is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Stacker is hiring a full-time data editor to help lead our growing data-driven newsroom. Stacker’s data analysis is the core of our journalism, and the rigor, accuracy and integrity of that analysis is at the heart of everything we do. We are looking for a newsroom leader who can step in to shape our coverage by editing and providing feedback on that analysis, expanding our work into new formats and data sources, and providing mentorship to our team of reporters and data reporters.
The Company
Stacker is a new media company excited by the future of journalism. Every day, our efforts center on developing new and more sustainable ways to produce, distribute, and fund great storytelling that contextualizes our world and drives impact for news publishers big and small. We do this through a number of ways—from our tech-forward storytelling method and freely accessible newswire, to offering a structured avenue for non-publisher organizations to participate and contribute to quality journalism.
Our ultimate mission is to empower the world’s publishers: through a commitment to provide free access to great storytelling and by championing innovation in how journalism is done, we enable our national- and local-scale publishing partners to engage their audiences and focus on their own original reporting.
As a bootstrapped company, we’re a resourceful team focused on building an inclusive, equitable culture around shared values of integrity, ownership, and collaboration. Building for the future is reflected in the way we work: we are remote-first, embrace flexible schedules, and offer competitive benefits and perks including unlimited vacation, an employee equity program, heath & dental coverage, and 401(k) matching.
We’re always looking for curious, media-minded thinkers to join the team. We encourage women, people of color, veterans, people with disabilities and gender nonconforming candidates to apply.
Responsibilities
As a Data Editor at Stacker, you’ll be working with a team of data reporters responsible for brainstorming story topics, analyzing data, and constructing journalistically sound story approaches. You’ll get to help elevate other people’s analysis, making it as strong and rigorous as possible, as well as work on your own stories.
As a data editor, you’ll be focused on:
- Reviewing and editing the data analysis for daily stories, feature stories and projects—i.e., stress-testing the methodological choices underlying our data analysis and statistical modeling, checking that any code used in that analysis is correct, and vetting the statistical and empirical claims being made.
- Elevating our storytelling scope with new formats and research angles (expansion into automated local series, data viz, investigative features)
- Sourcing new datasets to power compelling stories; reaching out to prospective data partners to build out a library of available sources
- Using statistical programming languages, such as Python or R, to pitch and create your own original analyses and models to tell stories.
- Working closely with the rest of our editorial team to ensure operational excellence — that our analytical output smoothly translates into authoritative final stories.
Requirements
- 3-4 years proficiency in Python, R, Stata, in a storytelling capacity. (Knowing every programming language or the most advanced statistical techniques is less important than having a nose for methodological shortcomings and blind spots.)
- A demonstrated record of working kindly, inclusively, and collaboratively.
- Experience conducting original data analysis, including statistical analyses, and critically evaluating others’ work.
- A deep understanding of traditional statistics (particularly causal inference) and, at a minimum, a conversational understanding of machine-learning techniques.
- Fluency in Tableau, Flourish, Datawrapper, or comparable softwares to turn data into interactive graphics.
- A track record of innovation and bias to action: you step into roles and improve processes or implement new ideas effectively
Nice-to-have’s
We don’t expect candidates to check all the boxes above, let alone all the boxes below. But these skills and experiences would make a candidate more appealing and/or more likely to succeed.
- More extensive statistical skills and experience. You’ve built statistical models, for example.
- More extensive data viz skills and experience. For example, experience with JavaScript, D3, or comparable languages/libraries for creating custom visualizations.
- Experience reviewing and evaluating academic papers to identify and correct methodological flaws.
- You have done all or some of this in a journalism environment.
Benefits
Employee wellbeing is top of mind for the Stacker team. We offer the following for benefits to all team members:
- Competitive Base
- Equity Stock Option Program
- Full Health & Dental Coverage
- Fully Remote Team
- Unlimited PTO
- 401k Matching
- 3 Months of Paid Family Leave
- Weekly Meal Expense
- $250 Annual Education Stipend + StackerU continuous learning curriculum
- Annual Team Offsites
- Monthly Virtual Social Events
- Awesome team culture!
Stacker is dedicated to creating a diverse and inclusive newsroom that reflects the communities we serve. We encourage women, people of color, veterans, people with disabilities and gender nonconforming candidates to apply.
Stacker is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
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