Data Scientist helping Qliro develop payment solutions through machine - learning in credit and fraud domains. Collaborating in a modern data platform environment to enhance decision - making capabilities.
About the role
- Senior Manager of Product Analytics leading a high-performing team to drive data insights at GlossGenius. Transforming data into strategic insights to influence product decision-making and optimize customer journeys.
Responsibilities
- Lead and scale a team of product analysts, ensuring analytical excellence, mentorship, and a strong culture of learning and impact
- Define the vision, strategy, and roadmap for product analytics at GlossGenius, aligning with company and product objectives
- Partner with Product, Design, Engineering, and AI/ML leadership to define key success metrics, frameworks, and methodologies for evaluating new features and AI-powered experiences
- Guide the design and interpretation of sophisticated experiments (A/B tests, multivariate tests, model-driven evaluations) to assess product performance and inform roadmap prioritization
- Develop and standardize analytical frameworks and reporting to measure product health, customer engagement, retention, and business growth across multiple product areas
- Collaborate with Data Engineering and Analytics Engineering to evolve GlossGenius’s data infrastructure, event taxonomy, and self-service analytics capabilities
- Act as a trusted thought partner to senior executives—translating data-driven insights into actionable strategies that influence product direction and long-term business decisions
- Build scalable analytics processes and systems that enable consistency, speed, and accuracy across product teams
- Champion a culture of experimentation and data fluency across the organization, empowering teams to test, learn, and iterate rapidly
- Lead cross-functional alignment on analytics priorities, ensuring resources are focused on the highest-impact opportunities for product and customer growth
Requirements
- 8+ years of experience in analytics or data science roles, with at least 2+ years leading and growing high-performing analytics teams
- Proven experience building or scaling a product analytics function at a fast-growing SaaS or consumer technology company
- Deep expertise in SQL and experience analyzing complex event-based datasets
- Hands-on experience designing and interpreting experiments (A/B testing, multivariate analysis) and strong statistical foundations
- Strong product intuition and business acumen with demonstrated success influencing product strategy through data
- Excellent communication and storytelling skills—able to engage and influence senior stakeholders with clarity and conviction
- Experience partnering closely with Data Engineering and Analytics Engineering to evolve data models, instrumentation, and analytics infrastructure
- Excitement about leading at the forefront of AI-first product development and defining how analytics measures intelligence-driven user experiences
Benefits
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially covered by GG
- Fertility and adoption benefits via Carrot and Kindbody
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Home office stipend
- Team Bonding: As a distributed team, being able to build meaningful bonds both virtually and in person is incredibly important to us! We are constantly evaluating how we accomplish this and currently, teams are given opportunities to gather in person throughout the year.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist at Capital One using ML to revolutionize customer engagements through personalization. Collaborate with elite teams to build cutting - edge recommendation systems.
AI Agent Developer responsible for designing and building AI agents to operate within digital environments. Collaborating with teams to deliver innovative AI solutions and ensure functionality within complex systems.
AI Agent Developer designing and implementing autonomous intelligent agents using AI frameworks. Collaborating across teams to optimize agent capabilities and performance.
Data Science/Analyst Intern working with risk analytics and data science teams at Credibly. Engaging in projects that leverage advanced analytics and statistical techniques for business growth.
Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross - functional teams to architect scalable machine learning solutions in cloud environments.
Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.