Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.
What You’ll Do:
Twitter’s mission is to be a global platform for public conversation. As part of this mission, we are committed to delivering a tailored experience for our growth markets around the world. The Data Science team works closely with full stack teams including Product, Engineering, Design and Research and performs advanced analyses, design metrics and runs experiments to improve the user experience across our markets, globally. Your work will advance a deep understanding of how users are using our product, inform product decisions and influence the company strategy.
Who You Are:
You have a broad and deep technical background in data science and analytics, and are proficient at analyzing large structured and unstructured datasets to derive insights. You are highly technical and hands on but also demonstrate a strong product mindset. You provide strong technical mentorship to other data scientists and uplevel the overall technical bar of the DS team.
You take responsibility for the group’s short-term and long-term strategy, define the team's roadmap, success metrics, and priorities in close collaboration with multi-functional partners. You drive a culture of trust, respect, and inclusion within your teams.
You are great at:
Delivering actionable results through your combination of data science solutions, product thinking, statistical knowledge, and deep understanding of data
Lead from the front in terms of developing new hypothesis and connecting observed customer behaviour to potential product solutions
Mastering a fluid, open ended mandate and possess a 0 to 1 mentality when it comes to crafting solutions
Collaborating with product managers, engineers, designers, and user research to drive product impact
Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams
Leading and prioritizing projects
Creating a culture of rigor and scientific inquiry
Understanding consumer products
6+ years experience in data science and quantitative analysis (preferably in an engineering or product role)
Demonstrable first principle problem solving skills
Strong programming skills (Python, R, SQL) and experience using common analysis tools (Hive, Presto, Scalding)
Strong bias to action, creative problem solving mindset, and proactive communication
An advanced degree in a quantitative domain such as Computer Science, Machine Learning, Statistics, Operations Research, or similar. Masters and PhD is a plus but not required
Proficiency with ML and data analytics technologies such as Spark, Airflow, TensorFlow, etc.
Prior work experience with building Africa focused technology products is a plus
As a team, we value empathy for our developer colleagues and passion for making their lives easier. We love sharing knowledge, and we go out of our way to encourage cross-pollination and joint projects with partner teams in Engineering Effectiveness. We believe that the more we talk and share ideas, the more we make Twitter a great place to develop software.