Senior Data Scientist

Profile

About the Team:

The Data team

is responsible for driving the adoption of data driven decision making across FreshBooks - for both our internal users and our global customers of small business owners, bookkeepers and accountants

(or whatever better describes our customers).

We are the center of expertise for data strategy, data architecture, data modelling, machine learning, ethical data usage and artificial intelligence service design. We lead the effort to raise the data and AI literacy levels across FreshBooks and to embed our commitments to responsible data use into culture and practices across our fast-growing organisation. Data strategy is an emerging specialist group, building global collaborations to define, communicate and drive a cohesive approach to data usage that combines commercialisation, consent, ethics and sustainability. They work with colleagues from diverse backgrounds to drive robust and mature decision making around using data as a commercial asset, aligned to our belief in the primacy of customer consent.

The Opportunity - Senior Data Scientist

The

Senior Data Scientist

will discover and operationalize data science and ML products & insights derived from Freshbooks and 3rd party data in support of marketing, product development and user research. This role will develop the algorithms and data infrastructure necessary to support performance marketing and user personalization.

What you’ll do:

Teach, lead, and counsel colleagues on new techniques or solutions

Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem

Responsible for the conception, planning, and prioritizing of data science projects

Planning data science projects, data science demos to evangelize data science across the organization

Provide guidance and strategic support to the overall Data Science strategy for FreshBooks

Interpret and analyze data science problems

Conceive, plan and prioritize data science projects

Test performance of data-driven products

Visualize data and create reports

Experiment with new models and techniques

Align data projects with organizational goals

Provide support to inexperienced analysts with high-level expertise in an open source language (e.g., R, Python, Julia, etc.)

Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries/big data platforms (e.g. XGBoost, H2Oai, Spark, Hadoop, etc.)

Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

Interpret and analyze data problems and guarantee data quality and integrity

Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques

Ensure that data projects align with organizational goals

Utilize data visualization tools to deliver insights to stakeholders.

Keep up to date with industry trends and standards and provide guidance and recommendations to the Data Science team and the wider data organization.

What you bring:

Proven experience as a Data Scientist or similar role

Solid understanding of machine learning

Knowledge of data management and visualization techniques

A knack for statistical analysis and predictive modeling

Good knowledge of R, Python and MATLAB

Experience with SQL and NoSQL databases

Strong organizational and leadership skills

Excellent communication skills

A business mindset

Prior experience with Amazon Web Services or Google Cloud Platform

Graduate degree in statistics, math or equivalent quantitative field

Why Join Us:

We're a motivated bunch, with our eyes laser-focused on shipping extraordinary experiences to businesses. You will be surrounded by hardworking team members who share a common vision for what an amazing software company could be, and have the opportunity to help build an elite one, right here in downtown Toronto.

Apply Now

Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

FreshBooks is an equal opportunity employer. We do not discriminate based on gender, religion, race, mental disability, sexual orientation, age, or any other status. All applicants are considered based on their qualifications and merits. At FreshBooks, we inspire an environment of mutual respect and we believe diversity and inclusion are crucial to our success.

FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

Company info

FreshBooks is a service of 2ndSite Inc.