Staff Data Scientist

Dropbox; Canada; Remote; CAD 181,000 - 247,000; Full time

Job summary

An innovative firm is seeking a Staff Data Scientist to join their dynamic Data Science team. This role focuses on transforming data into actionable insights to drive business growth and optimize product performance. You will collaborate with cross-functional teams to analyze user behaviors, design experiments, and develop personalized strategies. With a commitment to creativity and collaboration, this position offers a unique opportunity to impact the future of work. If you are passionate about using data to solve complex problems and enhance user experiences, this role is perfect for you.

Benefits

Competitive medical, dental and vision coverage

Retirement savings plan

Flexible PTO policy

Income Protection Plans

Business Travel Protection

Perks Allowance

Parental benefits

Mental health and wellness benefits

Qualifications

• 8-10+ years experience in analytics driving business decisions.
• Proven ability to work independently and engage stakeholders.
• Experience with large unstructured datasets.

Responsibilities

• Analyze customer journey phases and key business metrics.
• Perform exploratory analysis to understand user engagement.
• Build automated reporting dashboards for tracking trends.

Skills

SQL

Statistical Analysis

Experimentation Design

Regression

Decision Trees

Communication Skills

Programming (R/Python)

Education

Bachelor's in Statistics

Master's or Ph.D. in a quantitative field

Tools

Hadoop

Job description

Dropbox is a Virtual First company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.

Team Description

The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data-driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user-centered products and services, join our Data Sciences team.Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling.

Role Description

We're looking for a Staff Data Scientist to partner with engineering and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 8-10+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python

Preferred Qualifications

• Master's or Ph.D. Degree in a quantitative field
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods.

Compensation

$181,900—$246,100 CAD

The range listed above is the expected annual salary/OTE for this role, subject to change.

Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:

• Competitive medical, dental and vision coverage*
• Retirement savings through a defined contribution pension or savings plan**
• Flexible PTO/Paid Time Off policy in addition to statutory holidays, allowing you time to unplug, unwind, and refresh
• Income Protection Plans: Life and disability insurance*
• Business Travel Protection: Travel medical and accident insurance*
• Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much more
• Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
• Mental health and wellness benefits

Additional benefits details are available upon request.

*Where group plans are not available, allowances may be provided

**Benefit, amount, and type are dependent on geographical location, based upon applicable law or company policy

Dropbox is a Virtual First company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.

Team Description

The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data-driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user-centered products and services, join our Data Sciences team.Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling.

Role Description

We're looking for a Staff Data Scientist to partner with engineering and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.

Responsibilities

• Develop a deep understanding of customer journey phases and key business metrics
• Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
• Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
• Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
• Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
• Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
• Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
• Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
• Understand what matters most and prioritize ruthlessly
• Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Requirements

• Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
• 8-10+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
• Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
• Significant experience with SQL and large unstructured datasets such as Hadoop
• Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
• Solid background in running multivariate experiments to optimize a product or revenue flow
• Strong verbal and written communication skills
• Proficiency in programming/scripting and knowledge of statistical packages like R or Python

Preferred Qualifications

• Master's or Ph.D. Degree in a quantitative field
• Experience with predictive modeling, machine learning, and experimentation/causal inference methods.

Compensation

Canada Pay Range $181,900—$246,100 CAD

The range listed above is the expected annual salary/OTE for this role, subject to change.

Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

Benefits

Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:

• Competitive medical, dental and vision coverage*
• Retirement savings through a defined contribution pension or savings plan**
• Flexible PTO/Paid Time Off policy in addition to statutory holidays, allowing you time to unplug, unwind, and refresh
• Income Protection Plans: Life and disability insurance*
• Business Travel Protection: Travel medical and accident insurance*
• Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much more
• Parental benefits including: Parental Leave, Fertility Benefits, Adoptions and Surrogacy support, and Lactation support
• Mental health and wellness benefits

Additional benefits details are available upon request.

*Where group plans are not available, allowances may be provided

**Benefit, amount, and type are dependent on geographical location, based upon applicable law or company policy

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox.

Other open positions

The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data-driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user-centered products and services, join our Data Sciences team.Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling.