Singapore Jobs - March 2018

Grab | Product Analytics Manager Data-Analytics | Singapore, Indonesia

Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments across a region of more than 620 million people. Working with governments, drivers, passengers, and the community, we aim to unlock the true potential of the region by solving problems that hinder progress.

Get to know our Team: - Product Analytics cares about deeply understanding how users experience the Product - We enable Engineering, Product Management & Design to focus on the right outcomes and feature set - We remain integral to the product process from hypothesis development, right through to post rollout optimization

The day-to-day activities: - Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, page level testing, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc., - Mine large amounts of clickstream and transactional data to develop a deep understanding of Grab users, both passengers and driver partners - Own and manage all instrumentation for clickstream events on the Product, across all Grab platforms - Own the prerogative for insight generation and support rapid prototyping within the Product function. This includes working closely with Product Managers to see through analytics projects /product interventions from start to finish - Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment

The must haves: - 4+ years of experience in Analytics, Business Intelligence or a Data Science role (we look at promising fresh graduates as well!) Prior experience with Product management will be a definite plus - Advanced SQL writing skills and experience in querying large relational databases - Hands on experience with data analysis / scripting / programming tools like R or Python and Data Visualization platforms like Tableau / Qlikview / D3.js, etc., - Experience with designing, running and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE - Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al. - Ability to handle multiple priorities and solve ambiguous problems in a fast paced environment

Facebook | Solutions Engineer | Menlo Park, NYC, Seattle, Austin, London, Dublin, Tokyo, Seoul, Hong Kong, Singapore | Onsite

Solutions Engineers at Facebook spend roughly half their time working with product engineering teams and writing production code. The other half of their time is spent working directly with partners to form and execute their Facebook technology strategy.

It is a great role for an engineer that would rather be in a cross-functional role where a typical week includes releasing production features, visiting a client's marketing and engineering teams, and brainstorming new products and features.

More about the role is available at https://www.facebook.com/careers/life/solutions-engineering-... .

Job listings are available at https://www.facebook.com/careers/search/?q=solutions%20engin... .

Facebook | Solutions Engineering Manager | Paris | Onsite

We also have a great opportunity for an engineering manager that would like to support a team in Paris. You would support a distributed team, so some travel would be required. Roughly half the time would be spent on people management, with the other half on Solutions Engineering work.

We are looking for someone fluent in French.

If you would like to apply or have any questions, feel free to send me an email at hiten@fb.com .

Lazada|E-Commerce Leader|Global Head of Data| Full-time | Singapore | Onsite |

Summary: We are an e-commerce conglomerate, part of Alibaba, currently in search of a Data Expert. You will take ownership, train and grow the data engineering and statistical learning ("data science") team of the largest e-logistics company in South East Asia.

Likely useful experience: - Software development (aside from building actual software, you'll need to read a lot of code to understand systems whose logic is not at database level). - A mathematical bend, including awareness of and respect for the ideas behind the relational model ("predicate logic on sets") as defined by Edgar Codd and Chris Date, and rich data types. If you see a foreign key as a mathematical domain and think in terms of relation values and variables, we are probably on the same page. - Knowing your way around PostgreSQL, or failing that any large scale RDBMS deployment; there are infrastructure teams and DBAs but they need your guidance. - At least some enjoyment of the resolution of large, complex problems using more abstract methods as opposed to quick hacks and duct tape. - UNIX/Linux, but if you've read that far you probably have more than enough experience. - Speaking Chinese (Mandarin) may help a bit but the team has multiple native speakers.

Interview process: - Email vanessa.tan@lazada.com to be sent a few quick questions. Include "6h9mYszLTq2Y" in the subject line so we know you're not a bot. - An hour or two over Skype for probing your technical experience. - An hour or two in Singapore (if you are there) or over Skype for the C-levels to figure out if they can work with you.

Shift is a start-up that provides a SaaS solution to insurers to automate fraud detection. We've raised $28 million series B and already have more than 45 clients and offices in Paris, Singapore, Tokyo and New York. Our main challenges are making sense of a lot of heterogeneous data, analysing it accurately and efficiently and presenting the results to the user in an intuitive way. On a daily basis you are expected to deliver new features, ensure code quality and performance, and help data scientists analyse data efficiently and accurately. Tech: Windows, .NET (C#), SQL Server, ElasticSearch, JavaScript, React, VMware, Azure, Git Do not hesitate to e-mail us at hnjobs@shift-technology.com