Job title: Data Scientist

Department: Data Science

Reporting to: Senior Director Data Science

Location: Hybrid - London

How you will make an impact

Opensignal’s business is built on data. As a member of the Data Science team, you will work in collaboration with our Engineering and Products teams to create, analyse and interpret our evolving Data Analytics Products and Metrics to quantify and improve the quality of experience of mobile and broadband network users around the globe.

The Data Science team are architects of numerous data-gathering and interpretation initiatives. For example, we released a reliability metric and live video experience metric, and in previous years games, voice and on-demand video experience metrics - all firsts in the industry - while we continue to design new tests that are key to analyse the experience of mobile and broadband customers using the latest 5G or broadband connections under different architectures and frequencies.

You will model scenarios for producing the new standard global data analytics and metrics as driven by our Product team and business stakeholders. You will need to think carefully and laterally, examining possible solutions whilst questioning if there is a better way of doing things. It's a process of iteration to get to the solution, in partnership with the wider technology and business teams.

Apart from designing our new global standard analytics, there is the work associated with collecting billions of data points every day, from our apps and third-party apps. A critical aspect of the team is to help design the data we collect, creating new tests and understanding and using effectively the incoming data from devices APIs, and while also helping other teams with statistical analysis for our Customers and Sales teams.

You will also get exposure to many other parts of the business, working closely with our Data Engineers, Android & iOS Engineers, Product Management and other business functions closer to customers.

What you will be doing

• Creating big-data analyses that are developed into new metrics and global analytics for our mobile and fixed broadband network clients.
• Translating business and customer requirements to data science analyses and communicating these effectively with technical and non-technical stakeholders.
• Evaluating the robustness of analysis and recommendations, to influence the direction of product development within cross-functional teams.
• Working cross-functionally with Mobile, Data Engineering & Product members to create improvements in the tools and techniques to help scale our analyses.

What we need from you:

• A passion for data interrogation and analytics, with advanced modelling, coding and analysis skills entailed in the role.
• Experience working as a Data Scientist, ideally on client-facing analysis or products.
• Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics.
• Proficient using Python and/or R and SQL for the download, cleansing and analysis of data.
• Proficient in coding and creating insightful analysis and charts communicated using Python or R notebooks.
• Knowledgeable on quantitative analysis techniques, e.g., descriptive and inferential statistics, parametric and non-parametric statistics, regression, clustering and pattern recognition.
• Competence in Data Science reproducibility best practices.

Nice to haves:

• Ideally experience in continuous integration and the full Data Science pipeline.
• Ideally experience with basic software tools and environments like git, shell or cloud storage.
• Experience of working within an Agile environment, familiar with Agile methodology, working practices and ceremonies.
• Comfortable collaborating within multidisciplinary teams, contributing to problem-solving sessions and actively seeking and actioning feedback.
• Self-motivated, able to learn new techniques independently, make suggestions and research.
• Able to perform at a high level remotely.
• Competent at describing the rationale and assumptions behind your work. We’re interested in the ‘why’ that sits behind the data product design, or analytical approach.
• Curiosity and a desire to learn, a must for everyone in the Data Science team.

About Us

Opensignal is the leading global provider of independent insight and data into network experience and market performance. Our user-centric approach allows communication providers to constantly improve their network and maximise commercial performance. Leading analysts, investors and financial institutions place a high value on our independent analysis and we are regular contributors to their reports.

Real network experience is our focus and ultimately that’s what influences customer choice. Our mission is to advance connectivity for all and here at Opensignal, the team is leading the industry in enabling operators to link their network experience and market performance in a way that has never before been possible.

With offices in London, Boston, Victoria, British Columbia, among others, we are truly global, with employees working across four continents and representing over 25 nationalities. We are an equal opportunity employer dedicated to building an inclusive and diverse workforce.

Why join us:

We believe we are stronger when we not only celebrate our many differences, values, and voices but include them in everyday practice. Having a diverse and inclusive culture is essential, which is why we offer a flexible approach to work-life balance, operating in a remote-hybrid way. We’ll help you get set up with the essentials you need to work from home or the office. We also offer an attractive range of additional benefits, including:

• Competitive compensation packages including a long-term equity program.
• Comprehensive group benefits package and company sponsored retirement savings plan (details depend on your country of work).
• Professional development opportunities: education reimbursement, learning allowance, company-sponsored workshops, and more!
• Generous holiday allowance, sick leave, parental leave, flexibility including Flex Fridays, and the opportunity to work from abroad.
• Charity matching and time off for community volunteering and program/committees.
• Regular virtual and in-person events and socials.