Senior Growth Data Scientist

Cerebras; United States; On-site; USD 170,000 - 195,000; Full time

Benefits offered by this job

Unlimited PTO

Parental Leave

Mental wellness benefits

401k plan with employer match

Job summary

Binance.US is hiring a Senior Growth Data Scientist to support marketing through data-driven analysis and insights. This role involves building models for marketing effectiveness and leading experiments to optimize strategies. Candidates should have a strong background in marketing analytics and data science, preferably within a tech or fintech environment.

The position offers competitive compensation ranging from $170,000 to $195,000 annually. Join a remote-first team committed to financial inclusion and innovation.

Qualifications

• 5 years in marketing/growth analytics or data science.
• Advanced SQL experience with large data sets.
• Proficiency in Python or R for modeling.

Responsibilities

• Serve as data science partner to Marketing.
• Build models for LTV, ROAS, CAC, and retention.
• Design experiments and A/B tests for acquisition.

Skills

Marketing/growth analytics

SQL

Python or R

Marketing attribution

BI/visualization tools

Education

Bachelor's in a quantitative field

Master's

Tools

Mobile measurement platforms

Tableau

Looker

Job description

About Binance.US:

Binance.US is America’s home to buy, trade, and earn digital assets. As a licensed and regulated U.S. crypto platform, we provide secure, reliable access to more than 190 of the world’s most popular cryptocurrencies, all with some of the lowest fees in the industry. We’re a remote‑first team of innovators building the bridge between traditional finance and Web3, helping bring financial freedom within reach for all. To learn more, visit www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.

About This Role:

Binance.US, one of the most recognized brands in cryptocurrency, is looking for a Senior Growth Data Scientist to join our Data organization as a dedicated partner to the Marketing team. You'll sit within Data — with the rigor, tooling, and standards that come with it — while working day‑to‑day alongside performance, lifecycle, brand, and growth teams to shape and measure marketing strategy. This is a high‑ownership individual‑contributor role for someone who wants to build the analytical foundation a fast‑growing marketing org needs, and to influence where and how we invest. As the function matures, there's a clear path for this role to grow a team underneath it.

Core Responsibilities:

• Serve as the embedded data science partner to Marketing, bringing rigorous, data‑driven decision‑making to a team that today lacks dedicated analytical support.
• Stand up and own the marketing measurement foundation — event tracking architecture, unified attribution windows, and KPI frameworks across mobile (MMP) and web (GA) — so channels can be compared apples‑to‑apples.
• Build and maintain the core models that drive spend decisions: LTV, ROAS, CAC/payback, and retention; translate them into channel strategy and budget allocation recommendations.
• Design, run, and read out experiments and A/B tests across acquisition and the customer lifecycle, and set the experimentation standard for the marketing org.
• Analyze the full funnel (acquisition to activation to engagement to retention to monetization), surface the highest‑impact growth opportunities, and size them.
• Build forecasting and opportunity‑sizing models to inform planning and resource allocation.
• Develop self‑serve dashboards and recurring reporting that give Marketing and leadership clear visibility into performance.
• Partner with Data Engineering and MMP/ad‑platform teams to ensure data quality and measurement accuracy, and prioritize fixes.
• Translate analysis into clear, persuasive recommendations, and influence marketing investment decisions with stakeholders up to leadership.

Preferred Skills/Experience:

• 5 years in marketing/growth analytics or data science, ideally at a consumer‑facing tech, fintech, or startup, with a track record of driving measurable growth.
• Advanced SQL and comfort working with large‑scale data in modern warehouse environments.
• Proficiency in Python or R for analysis and modeling.
• Strong grounding in marketing attribution, experimentation and statistics, funnel analysis, retention, ARPU, and LTV.
• Hands‑on experience with mobile measurement platforms (AppsFlyer preferred): SDK/event setup and attribution modeling.
• Proficiency with BI/visualization tools (Tableau, Looker, or similar).
• Excellent communication and the ability to influence non‑technical stakeholders — especially important since Marketing will look to this person for direction.
• A self‑starter comfortable building from scratch in an ambiguous, fast‑moving environment.

Nice to have

• Crypto, fintech, or financial services experience.
• ML applied to marketing (propensity, churn, LTV prediction, audience segmentation).
• Experience building audience segments and activating warehouse data into ad platforms.
• Bachelor's in a quantitative field; Master's a plus.

Salary

The starting pay range for this role is between CAD$150,000 - CAD$175,000 per year for all Canadian remote locations and between USD$170,000 - USD$195,00 per year for all U.S. remote locations. The actual base pay will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change.

Our Mission: At Binance.US, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all.

Our Values

• Act with Integrity: We do what’s right, even when no one is watching.
• Be Collaborative: We work together with respect and transparency to achieve shared goals.
• Customers First: We listen to, advocate for, and prioritize our users in every decision we make.
• Do the Work: We take ownership, follow through, and deliver results that move the mission forward.
• Embrace Change: We stay adaptable and curious, thriving in a fast moving industry.

Our Benefits

We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings.

• Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave.
• Well‑Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits.
• Remote‑First Culture: Fully remote, cameras‑on culture with work‑from‑home equipment reimbursements available to new hires.
• Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match.

BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic.

Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out‑of‑network allowed amounts between health plans and healthcare providers.