Senior Data Scientist at Handshake

Your Impact
At the heart of Handshake product development is an experimentation-driven culture led by data scientists and engineers. This is a high-impact position where you will not only influence product strategy and decisions affecting millions of students and young alumni but also build the very products that democratize opportunity by enabling those users to find great jobs. We know that connecting students with jobs and employers can be so much more than string matching buzzwords in resumes and job descriptions. If you want to make a mark on both our organization and the job search experience for millions of students while growing as a data science leader, then this role is for you.
Your Role


Develop the algorithms and data pipelines that connect users across the Handshake marketplace, from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.


Find the signal in the noise and turn massive datasets into rich, relevance-enabling feature sets. Employ Natural Language Processing and feature engineering techniques to turn relatively unstructured data sources like job descriptions into “matchable” hiring criteria.


Provide technical leadership to a growing team of curious and highly motivated data scientists.


Be a tactful and effective partner to product managers; help design and analyze experiments and proactive analyses that drive key product decisions and unlock invaluable insights.


Be an ambassador for data-driven product development at Handshake. Present your research, including metric development and measurement methodologies to all levels of the company, clearly and concisely.


Your Experience:


Experience building, implementing, and iterating on data and/or machine learning powered products and/or conducting relevant academic research on large data sets.


Knowledge of machine learning practices with a focus on topics such as search and relevance, recommender systems, natural language processing, and/or 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, engineering, and design


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 working on small, scrappy, and growing data science teams


Knowledge of Google Cloud technologies and Airflow


Mentorship of both data scientists and would-be data science partners


Developing and deploying production-quality machine learning pipelines and models


Compensation Range:
$147,950 - $202,000
Benefits:


Stock: Ownership in a fast-growing company.


401k: We care about your ability to save for your future.


Family Focus: Parental leave and flexibility for families.


Time Off: Flexible vacation policy to encourage people to get out and see the world.


Healthcare: World-class medical, dental, and vision policies.


Goodies: Whatever hardware and software you need to get the job done.


Team Fun: Regularly scheduled events, sports, game nights, book clubs.


Learning: Learning & Development opportunities for you to grow your skills and career.


Great team: Working with fun, hardworking, nice people who are committed to making a difference!


...And much more!


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.