Staff Data Scientist - Consumer Product - Home Timeline

Job Description

As a leading member of the Home Timeline Data Science team, you will partner closely with Product, Engineering, Design, and Research to understand customer behavior, inform product decisions, and increase healthy participation on Twitter. You will foster technical excellence and provide mentorship and guidance to other data scientists across Consumer Data Science. You will help scope and prioritize our portfolio of data science projects according to team resources, business needs, and expected impact.

You will support the entire Home Timeline development lifecycle including product ideation, opportunity sizing, measurement design and experimentation, causal analysis, as well as post-launch learning and iteration into the next development cycle. You will analyze how changes to the Home Timeline experience affect customer behavior and business outcomes. You will also communicate findings to cross-functional partners and take a leading role in building a data-driven Home Timeline strategy.

Qualifications

You are an experienced data scientist with a track record of delivering results. You find satisfaction in leading collaborations with partners and shipping changes that deliver measurable business impact. You apply machine learning and data science techniques when applicable, but are just as happy to implement a simple heuristic if it meets business needs. You have experience driving quarterly or half-yearly planning processes for your team. You have a passion for mentoring others and you are looking for a technical leadership role on a strong, high-performing team.

• Using data science to drive measurable business impact

• Deeply understanding customer needs and designing appropriate metrics to improve how products meet those needs

• Creating and improving team processes and setting a technical team vision and strategy

• Mentoring junior data scientists

• Performing analyses on raw event data in modern data warehouse systems

• Taking ambiguous business and technical problems to an appropriate solution

• Advanced degree in a quantitative field and 5+ years of experience (or 7+ years of experience)

• Strong track record of forming effective cross-functional partnerships

• Experience using data science to meaningfully impact product strategy and execution

• Expertise solving complex and highly impactful quantitative business problems with at least one scripting language (Python, R, etc.) and SQL

• Experience with one or more of the following in an applied setting: developing statistical frameworks to understand customers and their behaviors, advanced statistical techniques for A/B testing, methods for experimental design, causal inference, or quasi-experimental analysis

• [Bonus] Ability to create/improve reproducible analysis libraries

• [Bonus] Experience with PySpark or BigQuery

• [Bonus] Software engineering experience in a production environment, especially for relevance/ranking systems

Additional Information

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.