Senior Data Scientist at Built In

At Built In, the health, safety and well-being of our employees and of our communities is a top priority. Due to the effects of COVID-19, we have decided to manage our entire business remotely until further notice. HQ-based employees will temporarily work from home until it is safe to return to our office. As we continue to grow, we are excited to be hiring for all open roles and look forward to meeting with qualified candidates in a virtual setting. For anyone who joins our team (yay!), your onboarding experience will also be conducted virtually. Thank you for your interest in Built In and be safe! 
Hello, We’re Built In
 
What We’re Up To 
We’re building the largest platform for tech professionals globally. Monthly, millions of professionals visit BuiltIn.com from across the world. We’re the only platform they need to stay ahead of tech trends and news, develop their careers and find opportunities at companies they believe in. 
Our 1,800 customers include innovative companies of all sizes, from exciting startups to companies in the Fortune 100. To attract our audience of skilled professionals, they trust us to tell the stories of their cultures and share their job opportunities. This helps them hire the industry’s most sought-after professionals locally, nationally and remotely – ultimately  contributing to the industry’s ability to innovate a better future.
What You’ll Be a Part Of 
Working at Built In is the chance to help shape a fast-growing company. Whereas we served eight tech hubs at the start of 2021, we entered 72 new markets across the U.S. by year’s end. Global plans are in the works. With venture funding of $30 million to date, we’re expanding not just our geographic footprint but our products and technology.  
With the launch of e-learning opportunities for users, we’ve made Built In even more valuable for the professionals who already trust us with their careers. And as we grow into the leading SaaS product for employer branding, we're using the latest technologies to serve customers in new, exciting ways — and you’ll contribute to that. 
You’ll also be a part of changing the lives of professionals like you, ambitious people with a passion for tech and love of learning. As a result, you’ll understand the impact of your work in a deeply personal, especially meaningful way. 
We're looking for a Senior Data Scientist
We’re looking for a Senior Data Scientist to drive personalization and ML based services. In this role, you’ll work closely with Product to develop the foundation of Built In’s data science practices as part of the data engineering team. This is an exciting opportunity for someone who is eager to solve data problems of varying complexities with a focus on making our data actionable, and influencing the experience of our users.
How you’ll contribute

Develop and test a wide variety of algorithms and models that improve the platform experience for both users and customers
Use Python, Jupyter, and a variety of database systems on a day-to-day basis and work with our engineers to build real-time APIs that work with your findings
Partner with leadership and stakeholders to identify new applications for data science across the business
Partner with analytics team on solutions for data validation, anomaly detection, and data enrichment within our data warehouse (Snowflake, DBT)
Educate the organization on new analytical approaches to drive business decisions

What you need

4+ years of hands-on experience in data science, ideally with a focus in building machine learning solutions (NLP, recommendation systems, customer segmentations) 
Experience with Python ML ecosystem - pandas, numpy, sklearn, etc.
Proficiency with relational databases (SQL) and unstructured & semi structured data
Experience with cleaning and vetting new data sources as well as troubleshooting data integrity issues
Strong communication skills with demonstrated ability to convey technical ideas to non-technical audiences
An understanding of A/B testing and sophisticated statistical techniques (hyperparameter tuning, feature importance)
Ability to work independently and autonomously, while also learning from and teaching others in a highly collaborative and interdependent data engineering team
Curiosity and desire to dig into analytical questions and identify opportunities for improvement to our data infrastructure

Impress us even more

Experience with ML Ops, including deploying models as services in a production environment and monitoring model drift and performance
Working knowledge of AWS infrastructure and data tools (S3 buckets, ECS tasks, Sagemaker, OpenSearch)
Experience working with and optimizing search algorithms

What We Value
We’re revolutionizing tech recruitment. So we question everything, because the best answers sit just to the right of a question mark. That’s our heritage as a disruptive company — as a company whose future depends on our capacity to innovate with a sense of drive, purpose and urgency. If you join Built In, you will work from this set of values: 


Be Inclusive, Always. We’re committed to a culture where all people are respected, have a say and can be their whole selves. We will uplift and advocate for one another. Always.


Be Unreasonably Passionate. Our passion is borderline obsessive, and we’re ok with that. No one ever built anything great on a “meh.” We work with outsized passion to fulfill our mission.


Be Humble. You don’t have all the answers. Luckily, you don’t have to. Don’t worry about being right. Be humble instead. 


Stay Curious. Curiosity is a springboard to the future. It can transform the wisp of an idea into a breakthrough. We ask “what if.” We work with wonder. It’s how we innovate.


Lead with Solutions. Question everything. But offer solutions as you do. Raise issues. But propose a few answers. For every hole you poke, offer a way to patch it up. 


Own the Result. We have no time for blame or shame. When you stumble, own it, learn from it + get back to business. 


Do More. Do more than your job description. Take initiative. Take charge. No job is beneath you, and no job is too big. Be a leader and do more — do whatever it takes. 


Be Inclusive, Always
Research shows that women and other marginalized groups tend to apply to roles only when they check every point on a job description. We encourage you to apply if you meet the majority of qualifications and this role is aligned with your career trajectory. 
Built In is an equal employment opportunity employer.  Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.
Built In is guided by principles of diversity, equity and inclusion (DEI). We are committed to this work over the long-term, but here’s some of what’s in place today:

We have five thriving ERG groups: Built In For The People, BuiltOut, United We Parent, Women United in Tech and Built In Tribe. 
We have a dedicated Director, HR + Inclusion who oversees our DEI roadmap, which provides our annual metrics, goals and initiatives. 
We are proud to be led by a woman CEO and founder, and that more than half of our managers and employees identify as women

 
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