Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 6
Python @ 6
SQL @ 6
Statistics @ 4
dbt @ 1
Machine Learning @ 4
Data Science @ 6
Hiring @ 4
Leadership @ 4
Communication @ 4
Data Engineering @ 4
Experimentation @ 7
Snowflake @ 1
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Customer.io is used by over 8,000 companies to send emails, push notifications, in-app messages, and SMS using real-time behavioral data. The Senior Data Scientist will partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction.
What we value
- Ownership: take initiative and drive analytical work from concept to implementation.
- Curiosity: question assumptions and dig into the "why" behind user behavior.
- Analytical Rigor: define meaningful measures of success, evaluate changes with rigor, and separate signal from noise.
- Communication: translate complex analytical concepts into clear recommendations for PMs, executives, and non-technical stakeholders.
- Collaboration: work as a cross-functional partner and make data approachable and reliable.
Responsibilities
- Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
- Design experiments and measurement approaches to evaluate the impact of product and marketing changes and help teams make evidence-based decisions.
- Build models and datasets to improve segmentation, forecasting, and trend identification.
- Apply machine learning and AI techniques where they solve practical problems for internal decision-making and customer-facing scenarios.
- Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.
- Communicate findings clearly and directly so teams can act without needing a statistics background.
Requirements
- 5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
- Strong foundation in statistics, experimentation, and behavioral analytics, with pragmatic application to product and business problems.
- Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
- Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
- Strong communication and stakeholder skills; able to explain complex analysis to PMs, marketers, executives, and non-technical partners.
- Ownership mindset: help define problems and move work forward without waiting for perfect requirements.
Compensation & Benefits
- Starting salary: $140,000 - $150,000 USD (depending on experience and subject to market rate adjustment).
- 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.
- 16 weeks paid parental leave.
- Unlimited PTO.
- Stipends for remote work and wellness, and a professional development budget.
Interview Process
- 30-minute call with Recruiter
- 45-minute call with Hiring Manager
- 45-minute 1:1 Technical Interview
- 30-minute 1:1 with Data Leadership
- 30-minute call with Stakeholder
- Take-Home Assignment + 45-minute review call
All final candidates will complete a background check and employment verifications as part of pre-employment.