Who We Are and What We’re About:
Brightline is on a mission to build a bright future for every child, bringing extraordinary behavioral health care to children and families.
We’re in the middle of a behavioral health crisis that we can’t ignore—especially not when it comes to our children. 1 in every 5 children has a behavioral health condition, yet up to 80% still get little or no help. Far too many families face insurmountable barriers when their child really needs help, and parents are too often left feeling alone and without the support they need. We can do so much better. That’s why we’re here!
When you join Brightline, you’re joining a team that has an unstoppable drive to change the lives of families across the country. We’re a team of thoughtful problem-solvers, expert and kind clinicians, and experienced operators and technologists. Above all, we’re committed to helping each other succeed, learn, and grow—all while bringing care to families when, where, and how they need it.
No matter what you’re looking for in your next role, we’re pretty confident that you’ll #FindItAtBrightline.
As an early Data Scientist at Brightline, here's what your day-to-day activities might look like:
- Creating tools and dashboards will be very important for this role, but helping others on the team see opportunities to change a product design or to invest in a new area is where you will have a lot of impact. Great story-telling skills will be really helpful in having a positive influence on the roadmap and product direction.
- Examples of important analytics work include identifying points of friction/drop-off, finding successful patterns of engagement that we can encourage, finding personalization opportunities and more.
- You will partner closely with product managers, designers, engineers and other data scientists since this work is incredibly cross-functional.
- You will build analytics that make the most important success metrics clear and relevant to product decisions.
- You will build and maintain production data models that are used widely (e.g. using DBT)
- You will look for ways to make insights more self-serve for product managers including web/mobile analytics tooling.
- You will collaborate to build proactive insight tools that can alert different stakeholders to important analyses based on business logic, statistical analysis and eventually supervised and unsupervised learning approaches to proactive, scalable insight sharing.
- You will collaborate with other data scientists on code reviews and pairing to keep our quality bar high.
And here are the kinds of projects you might work on in your first few months:
- Help establish self-serve web/mobile analytics
- Build dashboards for the most important success metrics in emerging areas like mobile
- Identify opportunities for a few quick wins on scalable, alert-based analytics and implement if the impact seems high.
- Collaborate on A/B testing strategy and execution. This includes deciding when A/B testing is right and how to make sure it supports our decision-making.
About you:
- You have strong analytic skills and experience with problem framing, metric design, metric implementation, and dashboard creation.
- You have strong coding for analytics use-cases in SQL, R, Python, Julia, Scala or similar (and flexibility about languages and tools).
- You are comfortable creating scheduled analytics jobs that process data and take actions based on that data (like making API calls to Slack, Google Drive, etc).
- You have a Testing mindset and you’re skilled with data model creation
- You possess great communication skills with a focus on collaboration with various stakeholders
- You are knowledgeable in statistics and have a working knowledge of hypothesis testing.
- You have at least some experience with supervised and unsupervised learning. You are not expected to be an ML engineer, but you should have a working knowledge of basic regression and clustering approaches.
Bonus points for experience with:
- Experience using DBT to create data models
- Experience with self-serve analytics tools like Mixpanel
- Experience with anomaly detection
Benefits + Perks:
- Remote first and focused on community—we have Bright Spots with employees across the country (check out more info below) + generous work-from-home stipend
- Competitive compensation & benefits packages because we know the work you do is hard and we recognize how valuable you are, including an unlimited PTO policy + 14 paid holidays, Health, Vision, Dental, 401k, and stock options
- Collaborate with diverse members across teams with weekly group learning opportunities and team breakfasts (and offsite retreats in the future!)
- Dedicated time for your health and wellness, including group workouts and meditations hosted by Brightline employees
- With your help, we’ll build diverse & equitable programs and experiences
Brightline is a nationally distributed team with many of our team members located throughout the country, some of those being: New York, Boston, Seattle, Portland, Atlanta, Houston, Denver, Minneapolis, San Diego, and Los Angeles. The Brightline office is headquartered in the SF Bay Area, but we consider all local and remote (U.S.) candidates.
At Brightline, we believe that collaborative, diverse, and empathetic tech & product teams can create transformational products to change the lives of families across the country. In a conscious effort to create a diverse and inclusive environment for our employees and the families we serve, we celebrate our individual differences and walks of life. Brightline is an equal opportunity employer and encourages all applicants from every background and life experience to apply.
