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• At the heart of Handshake product development is an experimentation-driven culture led by data scientists and engineering. To improve outcomes for both our students and employers, we are continually innovating across our applications from creating new entry points and offering a more connected experience for students, to optimizing the marketplace and the matching between students and opportunities on our platform. We are seeking an experienced, creative data scientist to help connect higher education to employers at scale. This is a high-impact position where you will influence product strategy and decisions affecting millions of students through experimentation, statistical modeling, analysis and interpretation of results.
• Be a tactful and effective partner to product managers; help design and analyze experiments that drive key product decisions • Proactively perform data exploration on user behavior to discover future product improvement opportunities • Lead the research and development of new modeling approaches and experimentation methods that could sharpen or speed up decision making and move key metrics • Present your research, including metric development and measurement methodologies to all levels of the company, clearly and concisely
• Deep knowledge of machine learning practices with a focus on topics such as contextual bandits, reinforcement learning, recommender systems, natural language processing and/or knowledge of common Data Science concepts related to e-commerce (e.g. lifetime value, net incremental revenue, churn) • Experience working directly with cross-functional teams such as leadership, product management, and engineering • Experience using modern analytics tools such as Python, R, Spark, BigQuery, Snowflake, etc. • Ability to start, own and drive projects to completion with minimal guidance • Excellent communication skills -- ability to succinctly communicate results and tell compelling stories with data to any audience (e.g. presenting findings and deep-dives to senior leadership) • Bonus Areas of Expertise: • Experience with producing data-driven products in a consumer application • Experience developing complex analytics-focused data pipelines • Having mentored people in your team or organization or conducted technical trainings
• An undergraduate degree in an analytics heavy major plus at least 6 years of experience with a proven track record of leveraging analytics to drive significant business impact; and/or a graduate degree in a relevant technical field (e.g. Computer Science, Mathematics, Statistics, Physics) plus at least 4 years of experience with a proven track record of leveraging analytics and experimentation to drive product development
• Handshake is the number one site for college students to find a job. Today, the Handshake community includes 17 million students and young alumni at over 1,000 colleges and universities — including 120+ minority-serving institutions. We connect up-and-coming talent across all 50 states with nearly 500,000 employers recruiting on Handshake — from every Fortune 500 company to thousands of small businesses, nonprofits, startups, and more. Handshake is democratizing opportunity and ensuring college students have the support they need to find a great job and kick-off a meaningful career regardless of where they go to school, what they choose as a major, and who they know.
• We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. • We value diversity of all kinds, and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.
• If you are not sure that you’re 100% qualified, but up for the challenge - we want you to apply.
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