Where To – Data Scientist – Remote, Canada

WhereTo is a business travel startup from San Francisco that evolved into an agile development and design studio within the Flight Centre family. We build travel solutions used by some of the largest companies on the planet – we have just one goal: making business travel better for everybody.

WhereTo provides an AI-powered travel platform for corporate travel. Their platform uses machine learning algorithms to recommend personalized travel options based on a traveler’s preferences, company policies, and budget. WhereTo’s technology also allows for real-time travel tracking, reporting, and cost analysis, enabling companies to optimize their travel programs and reduce costs.

To learn more about WhereTo click HERE

About The Opportunity

At WhereTo, we’re building a dedicated data team to centralize and analyze data, generating insights that drive product strategy and business decisions. As a Data Scientist, you’ll play a pivotal role in applying advanced analytical techniques and machine learning models to uncover trends and opportunities that inform strategic priorities across the company. In addition, you’ll contribute to the design and ownership of our overall data strategy, ensuring data is used to its fullest potential to drive key decisions and long-term growth. 

If you’re passionate about transforming raw data into actionable insights and thrive in a collaborative environment, we invite you to be part of our journey in shaping the future of travel technology. 

Key Responsibilities

Advanced Analytics & Modeling:

• Develop and implement statistical models, machine learning algorithms, and other advanced analytics to identify trends, predict outcomes, and uncover business opportunities.

Data Strategy Leadership:

• Play a key role in designing, owning, and implementing our data strategy as part of the data team, ensuring that data is effectively leveraged across the company to inform prioritization and strategic initiatives.

Data Exploration & Analysis:

• Analyze large datasets from various sources, uncover patterns, and deliver actionable insights that inform product decisions and business strategies.

Collaborative Insight Generation:

• Partner with Product, Engineering, and Data Analysts to translate complex data findings into strategic recommendations that help prioritize product development and operational improvements.

Proactive Insight Creation:

• Proactively develop insights and models to forecast trends, improve operational efficiency, and influence strategic direction.

Data Visualization & Communication:

• Communicate findings through clear visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.

Experience & Qualifications

Advanced Analytics Expertise:

• 3+ years of experience in data science, with a focus on applying machine learning, predictive modeling, and statistical analysis to real-world problems.

A/B Testing & Experimentation:

• Proven experience designing and conducting A/B testing and experiments to optimize product features and validate business decisions.

Technical Skills:

• Strong proficiency in programming languages such as Python (required) and Node.js (preferred) for data manipulation, analysis, and model development.
• Experience with machine learning techniques, statistical analysis, data mining, and data visualization.
• Proficiency in working with neural networks and deep learning frameworks (e.g., PyTorch, TensorFlow) to develop and deploy advanced machine learning models.
• Experience working with both structured and unstructured data to inform analytical models and business insights.

Data Processing & Infrastructure Knowledge:

• Experience with data processing tools (e.g., Apache Spark) and working in large-scale data environments (e.g., data lakes, warehouses).

Problem-Solving Skills:

• Proven ability to identify business challenges and apply data-driven solutions to address them.

Communication & Collaboration:

• Ability to translate complex data analysis into actionable insights for non-technical stakeholders and collaborate with cross-functional teams.

Preferred Qualifications:

Industry Experience:

• Experience in the travel or technology sector, applying data science to product or operational improvements.
• Familiarity with travel industry data (e.g., booking data, customer profiles, location data) is a plus.

Technologies:

• Familiarity with Microsoft Fabric.

Work Perks! – What’s in it for you:

FCTG is renowned internationally for having amazing perks and an even better culture. We understand that our people are our most valuable asset. It is the passion and dedication of our teams that keep the company on top of the industry ladder. It’s also why we offer some great employee benefits and perks outside of the norm.

• Enjoy the freedom and flexibility of a hybrid work structure that combines both remote and in-person work.
• Have fun: At the heart of everything we do at Flight Centre is a desire to have fun.
• Reward & Recognition: Celebrate the success of yourself and others at our regular Buzz Nights and at the annual Global Gathering – You’ll have to experience it to believe it!
• Use your smarts: Our people use their quick thinking, expertise, and tenacity to always figure things out.
• Love for travel: We were founded by people who wanted to travel and want others to do the same. That passion is something you can’t miss in our people or service.
• Personal connections: We are a big business founded on personal relationships.
• Diversity, Equity & Inclusion
• Diversity Day: paid leave to observe holiday or cultural celebration of your choice 
• Employee Resource Groups (Racial Equity, Gender Equity, LGBTQ2IA+, Accessibility, Environmental Justice)
• DEI education
• Commitment to fair practices such as regular equity assessments and inclusive recruitment protocols
• A career, not a job: We offer genuine opportunities for people to grow and evolve
• We back our people all the way: We are strongly committed to supporting every single employee in their professional and personal development.
• Giving Back: Proud Corporate Social Responsibility program supporting nominated charities through Workplace Giving, volunteering and fundraising
• Employee giving program
• Office Environmental Program
• Many of our offices are Leadership in Energy and Environmental Design (LEED®) Gold certified buildings
• 1 Volunteer Day per Calendar Year

Benefits Include:

• Generous paid time off policy
• Travel perks/discounts
• Health & Wellness Programs and Employee Financial Wellness Services
• National/International Award Nights and Conferences
• Group benefits including extended health care, dental and vision, gender affirming care, fertility care
• Insurance including life, AD&D, critical illness, long term disability
• Employee Assistance Program
• RRSP/RPP with matching
• Tuition Reimbursement Program
• Employee Share Plan – Ability to purchase company stock on Australian Stock Exchange with partial company match, subject to terms and conditions
• Global career opportunities in a network of brands and businesses

#LI-AG1#FCB#LI-Remote

Location – Remote, Canada

If this sounds like the opportunity you have been waiting for then APPLY NOW.

The role can be performed onsite, remote or on a hybrid schedule, in compliance with the Company’s Remote and Flexible Work Policy.

This position may be performed remotely anywhere within Canada in accordance with the company’s Remote and Flexible Work Policy except for the province of PEI

For this position, we anticipate offering an annual salary of $125,000. Base salary is dependent on relevant factors, including experience, geographic location, and job requirements.

We thank all candidates for their interest; however, only those selected to continue in the process will be contacted.

Our number one philosophy? Our people. Flight Centre Travel Group’s promise is to provide an environment with equality of respect, dignity and opportunity for all our employees. We value an inclusive and supportive workplace which truly reflects the diversity of our society.

We are committed to providing a barrier-free pathway throughout our recruitment process. We welcome accommodation requests to make our hiring and onboarding experience as accessible as possible. Please advise us about accommodation needs at any point by contacting our Recruitment Team at [email protected]

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