Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Data Scientist image - Rise Careers
Job details

Data Scientist

Who We Are

Murmuration is a nonprofit organization that amplifies the power of civic engagement by providing data, digital tools, and research-driven insights to community-focused organizations so that together we can create an America where everyone can lead healthy, free, and dignified lives.

Every day, people are trying to shape our future for the better. Fighting for water that’s safe to drink. Schools that serve students equitably. Gun laws that make sense. And rallying people who care like we do. And yet too often the skillful organizers working to mobilize communities lack access to technology that could supercharge their efforts. Knocking on every door instead of knowing which will open most easily. And going up against outside interests that have half the heart, but twice the tools.

In communities across America, Murmuration’s partners are leveraging our data, tools, and insights to help thousands of organizers orchestrate millions of individual people to do big things together. Demand big things together. To create the world they want. Together.

About the Position

As a Data Scientist at Murmuration, you’ll practice “full-stack” data science, shepherding problems from ideation to implementation. The Data Science Team works on diverse datasets with hundreds of millions of records to analyze data, build pipelines, and derive insights to power Murmuration’s data and tools. The Data Scientist will contribute to our core predictive stack, developing innovative methodologies with a focus on campaign data models and entity resolution. You’ll work closely with other data scientists on the team and collaborate with the engineering, product, and research teams.

Note: At Murmuration, we are committed to becoming an even more diverse, equitable, and inclusive workplace. To this end, all staff members are expected to actively participate in DEIB (diversity, equity, inclusion, belonging) programming.

Job Level: IC3

What You’ll Do:

  • 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; and
  • Collaborate with the engineering team to take data science products and concepts into production.
  • 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; and
  • Capacity to work collaboratively with cross-functional teams and stakeholders.

Nice to Haves:

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

Talented Data Scientists come from all walks of life and career. If you are passionate about civic engagement and technology, please apply, even if you do not check every box!

Location and Compensation

The Data Scientist is a full-time, salaried position with a comprehensive benefits package (more detail below). It is based anywhere in the U.S. The starting salary range for this position is $95,000 - $125,000 and is commensurate with experience.

Our Culture of Care

We work hard to create a culture of care to ensure that our staff are best equipped to lead happy, healthy, and balanced lives. To that end, we offer a comprehensive benefits package which includes:

  • 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; and
  • A welcoming culture that celebrates diversity, equity, inclusion, and belonging.

An Equal-Opportunity Employer with a Commitment to Diversity

Murmuration is proud to be an equal opportunity employer, and as an organization committed to diversity and the perspective of all voices, we consider applicants equally of race, gender, color, sexual orientation, religion, marital status, disability, political affiliation, and national origin. We reasonably accommodate staff members and/or applicants with disabilities, provided they are otherwise able to perform the essential functions of the job.

Note: Murmuration is two organizations working together to pursue our mission of amplifying the power of civic engagement: Murmuration Research Institute, a 501(c)(3) that conducts research to identify, design, and create the data, tools, and insights that build healthier and more equitable communities; and Murmuration, Inc., a 501(c)(4) that supports organizations working across the country on the nation’s most challenging issues with access to data, tools, and research that build healthier and more equitable communities.

Average salary estimate

$110000 / YEARLY (est.)
min
max
$95000K
$125000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Murmuration

At Murmuration, we are on a mission to amplify civic engagement and support community-focused organizations across America. As a Data Scientist, you'll step into a pivotal role that allows you to practice full-stack data science while making a genuine impact. Your work will involve diving deep into diverse datasets, some containing hundreds of millions of records, all with the goal of developing innovative predictive models that aid our partners in their efforts to create equitable and healthy communities. You’ll collaborate closely with fellow data scientists as well as engineering and product teams to turn complex data into actionable insights and tell compelling stories through visualization. With your understanding of advanced techniques and machine learning algorithms, you’ll lead projects that transform data into solutions, helping guide product development and strategic decisions. The culture at Murmuration values diversity, equity, inclusion, and belonging, and we expect all team members to actively contribute to these efforts. So, if you're someone who is skilled, passionate about civic engagement, and eager to work on vital social issues, we'd love to hear from you! Join us as we leverage data to empower communities and help them drive significant change together!

Frequently Asked Questions (FAQs) for Data Scientist Role at Murmuration
What qualifications do I need to apply for the Data Scientist position at Murmuration?

To apply for the Data Scientist position at Murmuration, you should have 2+ years of experience in data science or a similar role, a solid understanding of machine learning algorithms and advanced data science techniques, and proficiency in programming languages like Python and SQL. Familiarity with predictive analytics and campaign data science, especially voter file data, while not mandatory, will greatly enhance your application.

Join Rise to see the full answer
What can I expect from the salary and benefits for the Data Scientist role at Murmuration?

The Data Scientist position at Murmuration offers a starting salary range of $95,000 - $125,000, depending on experience. You can also expect a comprehensive benefits package, which includes 100% health, vision, and dental insurance for you and your qualifying family members, a retirement plan with a 5% employer match, flexible unlimited PTO, and many other valuable perks designed to support your work-life balance.

Join Rise to see the full answer
How does Murmuration promote diversity and inclusion in the workplace?

Murmuration is dedicated to fostering a workplace environment that values diversity, equity, inclusion, and belonging. All employees, including Data Scientists, are expected to actively participate in DEIB programming. This commitment extends to our hiring policies, organizational culture, and daily operations, ensuring we consider and celebrate the unique perspectives of all team members.

Join Rise to see the full answer
What kind of projects will I be working on as a Data Scientist at Murmuration?

As a Data Scientist at Murmuration, you will work on a variety of projects focusing on predictive modeling, campaign data models, and entity resolution. You'll have the chance to independently and collaboratively explore large datasets, transforming raw data into actionable insights that help drive product development and feature prioritization.

Join Rise to see the full answer
Is remote work an option for the Data Scientist position at Murmuration?

Absolutely! The Data Scientist role at Murmuration is designed to be flexible, allowing you to work remotely from anywhere in the U.S. This remote work environment is complemented by a flexible home office setup stipend, making sure you have the tools you need to work effectively from home.

Join Rise to see the full answer
What skills are essential for the Data Scientist role at Murmuration?

Essential skills for the Data Scientist position at Murmuration include proficiency in advanced data science techniques and machine learning algorithms, strong programming skills in Python and SQL, and experience in data visualization. The ability to collaboratively work with cross-functional teams and communicate insights clearly is just as important in this role.

Join Rise to see the full answer
What opportunities for professional development are available for Data Scientists at Murmuration?

At Murmuration, we believe that continuous learning is crucial for our team members. Data Scientists will have access to a yearly professional development fund to foster growth and enhance their skills. Additionally, our culture of care includes mental health and wellness benefits, as well as opportunities for collaboration and learning from colleagues.

Join Rise to see the full answer
Common Interview Questions for Data Scientist
Can you explain a data science project you've worked on and its impact?

When answering this question, you should describe a specific project, detailing the problem, the data you worked with, the models you built, and the results achieved. Emphasize your role in the project and how your work positively impacted the organization or community.

Join Rise to see the full answer
How do you approach predictive modeling?

Discuss your process for predictive modeling, including data collection, feature engineering, model selection, and validation. Highlight tools and techniques you've used, and be sure to convey the importance of ensuring the model's effectiveness through rigorous testing.

Join Rise to see the full answer
What methods do you use for data visualization?

Explain your preferred data visualization tools and methods. Provide examples of how you've used data visualization to communicate insights effectively. Emphasize the importance of tailoring your visualizations to your audience for maximum clarity and impact.

Join Rise to see the full answer
How do you stay current with evolving data science techniques and tools?

Share your strategies for staying updated on data science advancements, such as following industry blogs, attending conferences, taking courses, or participating in online communities. Emphasize your commitment to continuous learning and adaptation.

Join Rise to see the full answer
How would you handle a situation where data is missing or incomplete?

Discuss your problem-solving approach to dealing with missing data, including imputation techniques, data augmentation methods, or deciding to exclude certain data points. Your answer should show your analytical thinking and flexibility in handling real-world data challenges.

Join Rise to see the full answer
Can you explain the importance of feature engineering in data science?

Emphasize that feature engineering is crucial as it can greatly affect model performance. Discuss strategies you’ve used for creating meaningful features and how this process can influence the insights derived from the data, ultimately impacting outcomes.

Join Rise to see the full answer
What experience do you have with machine learning algorithms?

When discussing your experience, highlight specific algorithms you've implemented, the contexts in which you applied them, and the results. Your answer should include both supervised and unsupervised methods, showcasing versatility in your skill set.

Join Rise to see the full answer
How do you prioritize projects or tasks in a data science environment?

Describe your approach to project prioritization, which could include assessing the impact, alignment with organizational goals, available resources, and deadlines. Explain how you communicate with stakeholders to ensure alignment and manage expectations.

Join Rise to see the full answer
How would you explain complex data science concepts to non-technical stakeholders?

Demonstrate your ability to simplify complex concepts by using relatable analogies and focusing on high-level insights rather than technical jargon. Stress the importance of tailoring your communication style to suit your audience for greater understanding.

Join Rise to see the full answer
What do you see as the biggest challenges facing data scientists today?

Discuss current industry challenges, such as data privacy concerns, bias in AI, or the ever-increasing complexity of data. Offer your insights on how to address these challenges or adapt to actively engage with these issues in your work.

Join Rise to see the full answer
Similar Jobs
Murmuration Remote No location specified
Posted 2 days ago
Photo of the Rise User
Posted 13 days ago
Posted 10 days ago
Photo of the Rise User
Jerry Remote San Francisco
Posted 10 days ago
Social Impact Driven
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
Customer-Centric
Photo of the Rise User
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Customer-Centric
Dare to be Different
Reward & Recognition
Maternity Leave
Paternity Leave
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Paid Sick Days
Paid Time-Off
Paid Holidays
Photo of the Rise User
Posted 6 days ago
MATCH
Calculating your matching score...
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
LOCATION
No info
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 28, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!