Find your next talent
5 Nov 2021
Remote United States
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
The Instagram Well-Being organization is working on ensuring that Instagram is a positive force in people’s life, the most important job we have over the next few years at Instagram. We want to make sure that people feel safe and supported when connecting with the people and things they love, and that people feel the freedom to express themselves on the platform. A core part of delivering on that, is making sure that people are safe from harm when they use Instagram, feel supported by Instagram when they need it, and are enabled to support each other and their communities. This includes ensuring that people are not exposed to harmful content or accounts, user interactions on the platform are safe, user accounts and data are secure and that civic expression on Instagram is authentic and safe from foreign interference. To do this, we build large-scale complex systems, state-of-the-art Machine Learning, and operate an infrastructure to enable detection, classification, and remediation of content, behaviors, and bad actors that contribute to bad experiences for our community. At the heart of the Instagram Well-being organization is the data science team whose empirical studies and rigorous analyses shape the direction of Well-being product development, striving to protect Instagram users and their data and enables seamless development of safe and supportive products. We're looking for Data Scientists to support the Instagram Well-being foundation team, that focuses on solving user problems through improved risk assessment and classification of complex entities, discoverability, transparency and recommendability as well as building the best tooling and platform solutions to keep users safe and supported.We are looking for hands-on problem solvers with strong communication skills and ability to influence and drive outcomes. You will work in close partnership with a top-notch group of researchers and data scientists across Facebook, Inc. to translate user research and guidance from technical experts into data-driven product strategies. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your strategic thinking and ideas turned into real products on a regular basis. You should be flexible and comfortable working in a cross-functional capacity within a fast-paced, multidisciplinary environment. Additionally, we’re looking for individuals who are truly passionate and have demonstrated success in developing and implementing strategies that address behavioral and contextual user needs.
Responsibilities • Drive strategic organization wide data science initiatives and serve as tech lead on critical data science projects within the Well-being’s Foundations pillar. • Be a strategic partner for Well-being in identifying high impact analytical problems and find innovative ways to tackle these problems via data analysis, experimentation, and statistical modeling. • Evolve our measurement strategy by identifying novel metrics and measurement approaches to guide product strategy, goaling and experiments. • Provide technical and product mentorship to members of Well-being data science to ensure continual up-leveling of our expertise. • Drive or partner to execute on high priority learning/measurement initiatives for Well-being, Instagram, and Facebook. • Establish strong trusted relationships with the data science and product communities of Instagram and Facebook.
5 Nov 2021
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.
We are looking for a Senior Data Scientist to join our Experience insights team. To help us drive and support evidence-based design and product decisions throughout Spotify's product development process.
As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.
What You’ll Do • Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience. • Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions. • Communicate insights and recommendations to stakeholders across Spotify. • Be a key partner in our work to build out our product strategy so that we are relevant in the daily lives of consumers.
5 Nov 2021
Citi’s Innovation Lab is a research and development greenhouse hosting cutting edge projects, breaking new ground in the global FinTech arena.
The lab offers a unique opportunity to influence and take part in the shaping of a new long-term venture, backed by one of the world’s largest financial establishments.
To support our activity and expansion, we are seeking senior, hands data scientist to join the team.
We believe the future’s here. Right here with us. Home to where we define, ideate, develop and distribute production-ready financial solutions of far-reaching impact to clients depending on our ingenuity to achieve and grow in 160 countries. And right now, the door’s open to direct the future of technology for that truly global client base. This means collaborating with the keenest minds in data science, big data, software engineering, web development, UX design and more. Doers looking to bring the next bold ideas to life for a fascinating array of people, people already investing, trading and transacting at the forefront of change in markets and economies the world over. If you too have that kind of vision, capable of seeing ahead, of developing a clear path forward in a quest to try the untried, here’s your opportunity. In a supported, resource-rich, vibrant co-working environment, part of an ecosystem of globally interconnected labs, realising a broader mission of enabling growth and economic progress on a scale you won’t find anywhere else. Welcome to our London Innovation Lab.
We are looking for a Data Scientist to help us discover information contained in vast streams of online and offline time-series data, enabling us to make data-driven decisions based on an enhanced understanding of our business performance in the financial markets.
Your primary focus will be in applying data mining techniques, statistical analysis and feature selection in the training, testing and validation of models to be integrated into our financial markets decision-making systems and processes.
You will work closely with product owners and team members to design, build and integrate targeted client solutions into one of our existing well-supported platforms, or through new channels as required. To meet client demand, our project lifecycles are measured in months, not years, presenting many opportunities to take on new challenges.
• Feature engineering and selection • Working across a range of disciplines, from NLP to time series analysis, to risk modelling and pricing • Model selection, training, testing and validation • Model visualisation, demonstration and documentation, in an online form such as an interactive notebook or single-page application • Work closely with product owners to develop client solutions for new and existing channels