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Data Engineer - Analytics & Platforms

Hybrid Data Engineer Role - Creation of New Data Services & Use Analytics to Solve Business Issues

Solaria Labs

Solaria Labs members

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  • Felinda Romano
    Others

What we do

Solaria Labs was created with one simple mandate: to create new products and services that make a better, safer future for us all. Backed by Liberty Mutual, a Fortune 100 insurance company, Solaria Labs started in 2015 and recently expanded its operations to Singapore in June 2017. In its 3 years, the team has launched products such as:
(1) All Set, a platform which connects users with quality home-service providers.
(2) Total Home Score, a data service which helps home buyers, renters, and real-estate professionals understand a home's complete value by calculating scores related to surrounding noise and road quality.
(3) GigUp, a platform that matches gig workers with flexible jobs tailored to their skills and schedule

Why we do

We believe that insurance is an industry that is evolving quickly, making it ripe for disruption. By research emerging trends and technologies, ranging from self-driving vehicles, the sharing economy, and the connected life, we have seen a large opportunity for us to enable proactive protection of our customers, allowing them to live their lives with less worry.

How we do

As an innovation lab, we believe in taking risks, working quickly, and taking a test-and-learn approach to build our products. Most importantly, we base our ideas on real consumer data and interactions. That could mean drawing from the troves of proprietary learnings at Liberty Mutual Insurance or conducting in-depth customer interviews. Throughout, we make a point of being as customer-centric as possible. And that shows in the relevance and impact of the things we create.

Description

Solaria Labs is an innovation center focused on disrupting the traditional insurance model and diversifying into new products and sectors including the Gig Economy, Connected Life, On-Demand Mobility, Modern Aging, and Cybersecurity. Founded by Liberty Mutual, a global insurance company based in the US, we have been successfully launching new products and spinning out new companies for over 2 years in Boston and have just launched our new lab in Singapore. We are looking for innovators who are entrepreneurial, passionate about driving impact, and willing to test and learn.

As a Data Engineer in Solaria Labs, you will support research and development efforts in a diverse set of challenges as we rapidly prototype and build new products. Many of the concepts we develop require novel use of Liberty Mutual and partner data, and the application of current and emerging machine learning techniques. You will interact with product and engineering teams to implement your solutions within internal and customer-facing software products.

Responsibilities:
• Drive the creation of our Data Services platform by identifying new markets and novel uses for Liberty’s internal data and rapidly prototyping them
• Collaborate with Product Owners and Market Research & Design Manager to translate consumer needs and product requirements into data challenges and solve them
• Explore novel applications of external data sources that are publicly available or owned by our partners; when applicable, collaborate with external partners to build new products and services
• Design and build the infrastructure for data extraction, preparation, and loading of data from a variety of sources using technology such as SQL and AWS
• Participate in the broader Machine Learning community to stay current with the latest techniques and software
Desired skills:
• Passion for solving complex problems that have real impact on consumers
• Comfortable with ambiguity and capable of self-starting and self-organizing
• Extensive experience analyzing data and a broad understanding of core statistical and machine-learning techniques
• Expertise with Python, Java, C, or similar language, along with standard machine learning libraries
• Proven track record of rapid prototyping and development, leveraging open source or commercial frameworks (e.g., TensorFlow, R, Hadoop, AWS)
• Computer science background, comfortable working with both technical and non-technical staff to translate concepts and algorithms into working prototypes

Basic info
Looking for Data Engineer - Analytics & Platforms
Job type Full-time

Recommendations (1)

Recommendations (1)

Location

Impact Hub, Cuppage Terrace

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