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 global technology platform is building products that help hundreds of millions of people discover ideas, explore possibilities, and plan meaningful experiences. The organization places strong emphasis on innovation, collaboration, and the use of artificial intelligence to enhance creativity and business impact.
The organization is seeking a Sr. Data Scientist, Core to help shape the future of people-facing and business-facing products. This role will apply quantitative modeling, experimentation, statistical methods, and algorithms to solve complex engineering and product challenges.
The successful candidate will collaborate with cross-functional partners across Product, Engineering, Design, Research, Product Analytics, and Data Engineering. The role will introduce greater scientific rigor into product development and generate insights that influence products serving large global audiences, including users, creators, advertisers, and merchants.
Key Responsibilities
- Develop best practices for instrumentation and experimentation and communicate them to product engineering teams.
- Apply scientific rigor and statistical methods to challenges involving product creation, development, and improvement.
- Build and iteratively prototype analysis pipelines that provide insights at scale.
- Develop comprehensive knowledge of data structures, metrics, and analytical frameworks while advocating for improvements where necessary.
- Analyze complex datasets to identify meaningful patterns, trends, and opportunities.
- Work cross-functionally to develop and communicate key insights.
- Collaborate closely with product managers, engineers, designers, researchers, and other stakeholders to develop new product experiences.
- Apply quantitative modeling, experimentation, and algorithms to complex engineering and business problems.
- Help product development teams make informed, data-driven decisions.
- Promote rigorous analytical practices and high-quality data-driven decision-making across teams.
Required Qualifications
- 5+ years of experience analyzing data in a fast-paced, data-driven environment.
- Proven ability to apply scientific methods to solve real-world problems using large-scale datasets.
- Extensive experience solving analytical problems using quantitative approaches, including Machine Learning, Statistical Modeling, Forecasting, Econometrics, or related disciplines.
- Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Strong scientific and analytical approach with attention to detail, healthy skepticism, and a commitment to high-quality results.
- Ability to manipulate large, high-dimensional, and complex datasets.
- Strong proficiency in SQL or other database languages.
- Proficiency in a scripting language such as Python or R.
- Excellent communication skills with the ability to explain complex analytical findings to both technical and non-technical audiences.
- Ability to collaborate effectively with cross-functional leadership and translate insights into actionable outcomes.
- Bachelor’s degree in Computer Science, a related field, or equivalent professional experience.
Preferred Skills
- Experience working with web-scale data and complex analytical environments.
- Strong understanding of experimentation methodologies and statistical analysis.
- Experience developing scalable analytical and data pipelines.
- Ability to work effectively with product, engineering, design, research, and analytics teams.
- Strong problem-solving skills and an ability to translate ambiguous business or product questions into analytical solutions.
- Interest in applying artificial intelligence and machine learning to real-world product challenges.
Disclaimer
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