About the Team

The International Analytics team is looking for a Data Scientist to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash!

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition and growth, fraud and support, marketing, balancing supply and demand, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos and turning them into explainable, actionable insights, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash
• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
• Identify and measure levers to help move essential metrics and make recommendations
• Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
• Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
• Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritizing competing needs

We're excited about you because you have…

• 2+ years of experience in data analytics, consulting, or related quantitative role
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Experience leading /owning strategic projects to completion with multiple cross-functional teams
• Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
• Proficiency in at least one programming language, preferably Python or R
• Very experienced with SQL queries, Basic ETL, Regression techniques 
• Proficiency in one or more analytics & visualisation tools

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

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Passionate about unearthing and driving complex data science solutions across huge amounts of data to drive business value? Join our growing Data Science Team!

What's in it for you?

As a Senior Data Scientist, you will play a pivotal role in driving all stages of our data science projects including: ideation, scoping, development, deployment and monitoring. Working closely with business stakeholders and leadership, you will get to work on our global platforms to architect and implement scalable solutions that will impact millions of users worldwide.

Your role with us:

In your role with us, you will drive and technically lead complex machine learning and AI initiatives across our global platform, architecting and implementing scalable solutions that handle petabyte-scale data and impact millions of users worldwide. The role involves providing technical leadership, mentoring junior team members, and working closely with stakeholders to deliver high-impact data science solutions that drive business value.

Who are we?

At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the entertainment industry, including Stake.com, Kick.com and Twist Gaming. 

Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience.

Level up your online entertainment with Kick.com, the vibrant live-streaming platform, which connects millions of gamers and content creators worldwide.

All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. 

Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies.

Headquartered in the beautiful city of Melbourne, our growth has been remarkable. From humble beginnings to a thriving workforce of 700+, we've expanded not only in numbers but in ambition. There really is something for everyone here, whether you work in Tech, Marketing, Operations, Mathematics or Design, we are sure to have something for everyone.

Click play, on your career today!

What you will do:

• Technically lead the end-to-end machine learning solutions. Design, develop, and deploy comprehensive machine learning models from ideation and data collection to deployment and ongoing monitoring.
• Drive the technical strategy and architecture decisions for large-scale data science projects
• Apply statistical analysis and machine learning techniques to solve key business problems across various domains.
• Design and implement robust monitoring systems for production ML models.
• Partner with stakeholders to understand needs and communicate complex data science concepts, progress, and results to both technical and non-technical audiences.
• Mentor and provide technical guidance to junior data scientists.

What you will bring: 

• 5+ years of hands-on data science experience in industry.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field.
• Expert-level programming skills in the Python ecosystem (numpy, pandas, scikit-learn).
• Advanced proficiency in SQL.
• Demonstrated expertise in machine learning algorithms and their practical applications.
• Proven experience in designing and deploying production ML systems.
• Experience with cloud platforms and distributed computing.
• Track record of successfully delivering end-to-end ML projects.

Bonus points if you also have:

• Master's or PhD in relevant quantitative discipline.
• Deep expertise in AWS cloud services and ML deployment pipelines.
• Extensive experience with big data technologies and distributed computing frameworks.
• Specialized expertise in one or more areas: NLP, Computer Vision, Recommender Systems
• Experience with deep learning frameworks, particularly PyTorch.
• Experience leading technical teams or mentoring junior data scientists.
• Experience with ML systems design for high-scale, real-time applications.

Some of the perks of joining us:

• Access to over 9,000 courses across our Learning and Development Platform.
• EAP access for you and your family.
• Be rewarded with lucrative annual bonuses.
• Give back with a paid volunteer day.
• Fuel your day with daily breakfast and open pantries brimming with unlimited snacks and refreshments, all on the house.
• Break up the week with on site remedial massage Wednesdays.
• In house full-time barista’s providing you your daily coffee needs.
• Weekly team lunches and happy hour in the office from 4pm on Fridays.
• Enjoy a bustling office with the option for up to 2 days work from home per week.
• Fun office environment with F1 simulators, table tennis and all your favourite gaming consoles.

We believe that the unique contributions of everyone at Easygo are the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. We are passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.