Data Engineer / Scientist

Common Room, Inc.; Snowflake (AZ); Remote; USD 80,000 - 130,000; Full time

Job summary

Join an innovative firm at the forefront of customer intelligence, where your expertise in data science and software engineering will empower businesses to harness buyer signals effectively. In this dynamic role, you will collaborate with clients, transforming complex data into actionable insights while shaping the future of the company's data capabilities. With a commitment to customer-centric values, you will thrive in a culture that values simplicity, collaboration, and ownership. If you're passionate about leveraging data to drive impactful solutions, this is the perfect opportunity for you to make a significant difference in a fast-growing startup environment.

Benefits

Competitive base compensation

Health insurance (medical, dental, vision)

Unlimited Paid Time Off

Paid Company Holidays

Work from home policy

Monthly Remote Stipend

401(k) self contribution

Paid Family Leave

Equity ownership

Support for home office needs

Qualifications

• 3+ years of experience building data or ML-based models.
• Exceptional SQL skills and experience with large-scale data transformation.
• Strong statistical foundation to derive insights from data.

Responsibilities

• Collaborate with customers to solve data challenges and optimize workflows.
• Integrate data science into product development processes.
• Run data assessments and build ML-based scoring models.

Skills

Data Science

Machine Learning

SQL

Statistical Analysis

Data Transformation

Customer Engagement

Education

Bachelor's Degree in Data Science or related field

Tools

TypeScript

Node.js

TypeGraphQL

Kafka

Postgres

ClickHouse

React

AWS

Python

AWS SageMaker

Job description

About us

Common Room is the customer intelligence platform that captures every buying signal, giving companies superpowers with AI enrichment and automation to reach the right person with the right context at the right time.

Despite an explosion of buyer signals, companies are left struggling with siloed point solution vendors, bloated tech stacks, and unactionable "intent" data. Common Room brings together all the buying signals you care about in one place so you can track the entire customer journey, match signals to real people and accounts, take action and automate.

We’ve raised over $50 million from top-tier investors including Greylock, Index, and Madrona to build the world's first customer intelligence platform for modern B2B companies. And we’re backed by 25+ operators from the fastest-growing companies in the world such as Figma, Stripe, Airtable, Slack, Notion, Loom, and more.

You + Common Room? You’d be joining a team that revels in asking hard questions, collaborating gladly, and making decisions quickly—a team that values simplicity, passion, trust, each other, and our customers above all.

Why we need you:

Your ability to work at the intersection of data science and software engineering while collaborating directly with customers and their data is your superpower. You’re able to leverage your strong statistical foundation to understand business needs, and to help derive meaningful insights from large amounts of data. You’re comfortable running one-off data assessments or building ML-based scoring models using data - customer obsessions is your north star as you dive deep into problems and propose novel solutions.

Outside of this, you also identify and participate in important company-building initiatives that a fast growing startup needs.

You would enjoy being a member of our team if you:

• Have 3+ years of experience building data or/or ML-based models leveraging industry best practices.
• Have exceptional SQL skills and experience with large-scale data transformation.
• Can shape the future of Common Room’s data capabilities by integrating data science into our product development process.
• Partner with customers to solve unique data challenges to optimize their workflows, and validate methodologies to develop pragmatic, scalable solutions for customers.
• Partner with the product team to convert data insights into product improvements.
• Don’t hesitate to dive into unfamiliar data and shape it to a familiar form that can be manipulated and reasoned on, and capable of making high quality technical and non-technical tradeoffs.
• Operate independently, but don’t hesitate to seek help and support from those around you to get your job done.
• Revel in your craft, are excited by and capable of owning large projects primarily in the front-end domain.
• Bring your authentic self to work, and engage in candid + respectful feedback.
• Build sustainably, and are capable of managing your time and priorities as best suits your needs.
• Enjoy the journey as much as the destination, but never lose sight of the destination.
• Demonstrate pride, ownership, and accountability for your work, and expect the same from those you work with.

Our current tech stack:

We choose tools that help solve the problem at hand efficiently. For our current set of problems, we prefer to primarily use TypeScript with Node.js. We use TypeGraphQL for our API endpoints, Kafka for event processing, Apollo/Express as our web server, and Postgres (hosted on RDS) + ClickHouse as our database. We use React for front-end, and AWS for our infrastructure needs. Our data is housed in Snowflake, and we use Python for data related work. We have infrastructure capable of running ML-models on AWS SageMaker or other platforms.

Our values:

• Be Customer-centric - We work backwards from the needs of our customers. The crisp articulation of customer value guides our decisions.
• Strive for Simplicity -We choose simplicity over complexity whenever possible. We seek to identify and understand the essential quality of what we are building.
• Make it Happen - We are quick to take the first step, and prioritize decisiveness over fear of making a mistake. We don’t confuse motion for movement and we measure ourselves on impact over actions.
• We’re In this Together -We measure personal success by the success of our customers and teammates. Relationships matter, and the strongest ones are built on the foundations of trust, enablement, and transparency.

Our benefits:

Our investment in caring for our employees and their families is a key part of our values and culture at Common Room:

• Competitive base compensation with meaningful equity ownership.
• Health insurance including medical, dental, and vision, HSA and FSA.
• We pay 100% of your employee premium and 50% of your premium for any dependents.
• Unlimited Paid Time Off.
• Paid Company Holidays.
• Work from home policy including a laptop and support for your home office needs.
• Monthly Remote Stipend.
• 401(k) self contribution.
• Paid Family Leave.
• Opportunity to join a diverse, passionate, and fun team at a pivotal time in the company’s lifecycle.

Common Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.