Senior Data Scientist

Buffer

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Job Overview

Location

Remote

Salary

USD 192,600 - 224,272 yearly

Employment Type

Full-time

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Senior (5-8 years)

Application Deadline

February 22, 2026

About the Company

Buffer is a pioneering company dedicated to creating essential social media and brand-building software for small businesses, creators, and individuals. Our core mission is to empower these users to launch and grow their ventures successfully. We achieve this through a combination of exceptional customer service and uplifting content, fostering a belief in our customers' ability to succeed and make a positive impact.

As a fully distributed team, Buffer has consistently challenged traditional workplace norms, striving to build a unique and fulfilling environment. Transparency is a cornerstone of our operations, with detailed insights into our metrics, successes, and failures readily available on our Transparency Dashboard. We are united by Buffer's core values and actively foster a diverse and inclusive global team, ensuring that underrepresented groups feel welcomed and empowered to thrive.

While we operate remotely, we value in-person connection and organize highly encouraged team gatherings a couple of times a year to strengthen bonds. Our commitment to innovation is evident in our continuous development of tools and features, including AI-assisted solutions, to enhance user experience and drive growth.

Job Description

We are seeking a highly skilled Senior Data Scientist to join our fully remote, mission-driven team at Buffer. This is an exceptional opportunity to play a pivotal role in shaping how we leverage data to make informed product and growth decisions.

In this strategic position, you will operate at the nexus of product, growth, and strategy. You will be our primary Data Scientist, collaborating closely with diverse teams across the company to address critical questions, evaluate impact, and identify emerging opportunities. Your initial focus will be on supporting core analytical needs for product and growth initiatives. Over time, your objective will be to enhance our data capabilities by developing robust models, systems, and enablement tools, thereby reducing ad-hoc dependencies and empowering more teams to work effectively with data.

You will be responsible for constructing behavioral and business models, leading in-depth research and experimentation, and contributing to the evolution of our metrics, definitions, and data foundations. Your work will directly influence product development, experimentation strategies, and the definition of success for key initiatives.

As a senior individual contributor, you will be both hands-on and highly influential. You will hold a strategic position in key initiatives, bringing your expertise, curiosity, and judgment to ambiguous challenges, rather than merely executing predefined tasks. We are particularly interested in candidates who can leverage AI-assisted workflows and sophisticated abstractions to decentralize data access, improve self-serve analytics, and scale the impact of data beyond a single individual.

This role is ideal for someone who thrives in dynamic environments, is deeply committed to driving impact, and is enthusiastic about guiding a product-led company towards becoming more insight-driven.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

SQLPythonRData ModelingStatistical AnalysisExperiment DesignA/B TestingSaaS MetricsPLGBI ToolsData WarehousingEvent TrackingAI-assisted workflows

Key Responsibilities

Serve as Buffer’s primary Data Scientist, supporting product and growth teams with analysis that informs decisions and prioritization
Build and maintain behavioral and business models across acquisition, activation, engagement, retention, and monetization
Lead complex analyses and research to identify product and growth opportunities, not just validate existing ideas
Design, analyze, and interpret experiments across product and growth initiatives, including A/B tests and incrementality studies
Partner with cross-functional teams to define success metrics, evaluation frameworks, and clear decision criteria
Develop reusable datasets, models, and reporting patterns that reduce ad-hoc requests and increase self-serve capability
Help evolve Buffer’s data systems, definitions, and measurement approach as we invest in analytics product features and personalization
Use AI-assisted tools to streamline analysis, accelerate insight generation, and make data more accessible across the organization
Communicate findings through clear narratives, documentation, and recommendations that influence decisions at multiple levels

Qualifications

Deep care for creators, small businesses, and individuals, motivated by helping them succeed through better product and data-informed decisions.
Significant experience as a Data Scientist (or equivalent) in a SaaS or product-led growth (PLG) environment, with a strong understanding of SaaS metrics, growth loops, and monetization dynamics.
Deep hands-on experience with modern analytics stacks, including SQL-based data warehouses (BigQuery preferred; Snowflake or Redshift also relevant), BI tools such as Metabase, Mixpanel, Looker, or Mode, data transformation frameworks like dbt, and event tracking platforms like Segment.
Strong foundation in statistical analysis and causal reasoning, with fluency in SQL and advanced experience using Python or R for analysis, modelling, and data visualization.
Proven track record of owning complex, ambiguous analytical problems end-to-end, from framing and data exploration through to recommendations that influence product and business decisions.
Experience designing, analyzing, and interpreting experiments, including A/B testing, incrementality, and causal analyses, with a strong sense of methodological tradeoffs.
Experience building and maintaining analytical models across the full customer lifecycle, including acquisition, activation, engagement, retention, and monetization.
Demonstrated ability to balance high-impact strategic work with day-to-day analytical support, while systematically reducing ad hoc requests through better tooling, documentation, and self-serve systems.
Strong cross-functional partner to product managers, marketers, engineers, and designers, able to influence direction through data rather than operating as a service function.
Skilled at translating complex, messy data and ambiguous questions into clear metrics, narratives, and actionable insights for a wide range of stakeholders.
High degree of ownership and judgment, comfortable acting as the primary or most senior Data Scientist within a small team and shaping how data work gets done.
Experience leveraging modern data and AI-assisted tools to increase analytical leverage, improve insight accessibility, and scale impact across the organization.

Benefits & Perks

Competitive salary ($192,600 – $224,272) with a formula adjusting to cost of living and experience.
Work remotely, allowing you to live and work wherever you are happiest and most productive.
4-Day workweeks with a flexible, meeting-free fifth day for overflow tasks or personal time.
Comprehensive health insurance for all team members, international or US.
$1000 home office setup stipend.
Growth mindset fund for annual learning and development.
New laptop or PC provided on your first day and every 3 years thereafter.
Unlimited free books (Kindle, digital, or audio).
AI tools stipend to enhance your work with the latest AI technologies.
Flexible time off with no set limits.
Savings plan with a 3% company match.
Profit sharing when the company performs well.
16 weeks of fully paid family leave for all parents.
Family support fund with a stipend per child.
Working smarter stipend for coworking spaces or coffee shop treats.
Paid 6-week sabbaticals after every 5 years with Buffer.