Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global visual discovery platform helps millions of people around the world discover creative ideas, explore new possibilities, and plan meaningful experiences. The organization combines technology, creativity, machine learning, and data to help people find inspiration and create lives they love.
The company is also integrating artificial intelligence as a core component of its products and engineering practices. Its teams use AI to augment creativity, improve decision-making, and increase impact across the platform. The organization values candidates who can demonstrate strong foundational skills, thoughtful problem-solving, and the ability to effectively collaborate with AI-enabled technologies.
The organization is seeking a Staff Data Scientist, Notifications to help shape the strategy, measurement, and optimization of its notifications experience. This role will work closely with product, engineering, and machine learning leadership to improve the full user journey, identify growth opportunities, and enhance the systems responsible for notifications delivery and content.
The successful candidate will combine strong expertise in statistics, machine learning, experimentation, product analytics, and data storytelling. This position will also provide technical leadership and mentorship to other data scientists while influencing important product and engineering decisions.
Key Responsibilities
- Develop measurement frameworks and metrics that support data-driven decision-making and optimize the full user journey.
- Provide clear, actionable recommendations to product and engineering leadership on how to evolve the notifications strategy.
- Conduct deep analyses to identify shortcomings, opportunities, and areas for improvement within notifications and growth strategies.
- Develop opportunity sizing analyses to help teams prioritize high-impact initiatives.
- Serve as a strategic thought partner to product, engineering, and machine learning leadership.
- Help prioritize and scope projects that influence the notifications user experience and supporting machine learning systems.
- Contribute directly to improvements in machine learning models that power notifications delivery and content.
- Identify and develop new features, signals, and analytical approaches to improve notification systems.
- Translate complex analytical findings into compelling data narratives for leadership and cross-functional stakeholders.
- Mentor other data scientists and help guide the scope and quality of their work.
- Lead key technical projects and substantially influence the scope, direction, and outcomes of work across teams.
- Collaborate with cross-functional teams to iterate on user-facing products through experimentation and data-driven insights.
Required Qualifications
- 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems using web-scale data.
- Strong background in statistics, machine learning, and/or experimentation.
- Expertise in at least one scripting language, ideally Python or R.
- Proficiency in SQL and/or Hive.
- Strong business and product sense, with the ability to transform ambiguous questions into well-defined analyses and measurable success criteria.
- Excellent communication skills with the ability to lead initiatives across multiple product areas.
- Ability to communicate complex findings to leadership and product teams through clear and compelling data narratives.
- Experience working closely with cross-functional teams to improve user-facing products through A/B experimentation.
- Experience leading significant technical projects and influencing the scope and output of other team members.
- Bachelor’s or Master’s degree in Computer Science or another relevant field, or equivalent professional experience.
Additional Information
- This position is not eligible for relocation assistance.
- The role can be based remotely within the country.
- The position requires in-person collaboration approximately 1–2 times per quarter.
- The working model may vary depending on organizational and role-specific requirements.
- Candidates should be prepared to explain their analytical approach and demonstrate how they think throughout the interview process.
- The interview process may evaluate both foundational technical skills and effective collaboration with AI technologies.
Disclaimer
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- No Client Relationship: This company is not a client of SpringCube unless stated.
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