Senior Manager Data Science

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Job description
Do you get excited by the challenge of scaling a fast-growing company through strong analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and solve problems nobody had solutions before? Are you enthusiastic about experimentation, fast learning and innovation?
We’re looking for a senior leader to grow a high-performing Workforce Analytics team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners with senior business leaders, identify opportunities and problems, test and measure hypotheses, build analytics and data science solution, and surface insights to drive transformative changes.
More about you
The perfect candidate will be a seasoned people leader with a background in applied statistics, economics or a related quantitative field. You have strong business acumen, you are comfortable with ambiguity and complexity, and you have experience working with senior leaders and cross functional teams. You are a self-starter, a strategic thinker, a data-driven problem solver, and a humble learner. You have demonstrated success in using data science to drive understanding, progression, and decision making for large organizations. You have domain knowledge in workforce analytics and people analytics.
In this role you will get to:
Hire, lead, and grow a team of data scientists with great technical skills, business acumen, and value fitPartner with senior leaders to identify business opportunities and build KPIsPartner with cross-functional teams (program management, workforce planning team, etc) to drive transformative initiatives and make impactBe the thought leader to build analytics strategy, provide transparency of roadmap, and drive sprint planningBuild shared vision, empower a team of missionaries, and deliver high quality outcomeDrive actionable analytics insights, build data science solutions, and measure impactManage roadmapping, sprint planning, stakeholder engagement, and remove blockers when neededBe a great communicator to share complexed ideas simple, advocate team's work and coach data storytelling
On your first day, we'll expect you to have:
8+ years experience as a people leader with proven success 15+ years experience in analytics and data science fieldSuccess at hiring, managing, and growing a global team remotelyStrong business acumen and strategic thinking - when there is complexity and ambiguity, you can help your team identify the right problem to solveSuccess at building a culture of data-informed decision making, fast learning and innovationStrong communication skills to tell data stories to non-technical audienceStrong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentationExperience applying advanced analytics knowledge to the real worldRoadmap planning, sprint planning, and project management skillsYou have domain knowledge in workforce analytics and people analytics
It's great, but not required, if you have:
Experience in B2B, customer support, customer successExperience in product analytics, people analyticsExperience with large data sets and distributed computing (Hive/Hadoop)Experience in using Jira, Team Central, Confluence to manage and share team's work


Data Science Manager Confluence Performance

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Confluence is changing the way companies collaborate and share information. More than half of Fortune 100 companies, hundreds of thousands of teams, and millions of users use Confluence every day to get their jobs done, faster and more collaboratively. Join us as we unleash the power of teams all over the globe.

We are looking for a top-tier data scientist to work on Confluence product analytics. The role needs to manage a multi area within product analytics, with the possibility of having direct reports.

Product performance and scalability is the backbone of any B2B cloud products. On top of this, user’s needs for workplace collaboration products are fast evolving.  Therefore, this role is multidisciplinary.  You need to have the skills to dig deep into both performance and API data as well as usage data,  connect the dots together quickly and communicate insights in a way that persuades action. Your product managers, UX designers, and full stack software engineers, lean on you for data informed decisions. Particularly for this role, you will have the opportunity to shape product roadmap.

On the first day, we'll expect you to have:

5+ years of experience in a product analytics function
Expertise in SQL and proficiency in Python
Thorough understanding of usage data creation process and experience of partnering with engineering teams for data tracking
Experience in designing and analyzing product experiments
Ability to turn complex findings into a compelling narrative and a set of actions
Track record of influencing decision-making using analytics
Background in Engineering or quantitative subject (e.g. Mathematics, Physics, etc)

It's great, but not required if you have:

Experience in both enterprise (or B2B) as well as consumer (or B2C) environments
Management experience

More about our team

Product Analytics at Atlassian is an exciting and fast growing space. At our core, we drive value for both our customers and the business by understanding how and why our users use our products. We are a highly collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.


Data Scientist Talent Acquisition

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will partner with other analysts to help support best-in-class talent acquisition with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the talent acquisition and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong then this role could be a great fit!

On your first day, we'll expect you to have:

3-5 years of experience in HR/recruiting analytics or closely related fields
Proficiency in reading and writing SQL queries
A strong intuition for crafting raw data and analysis into well-written and persuasive content
The ability to prioritize your time wisely against multiple competing projects and requests
Experience translating insights into decisions and actions that have a direct business impact
Comfort working with remote teammates and remote-friendly workflows
Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
A willingness to learn and adapt to new technologies and methods as needed

It's great, but not required, if you have:

Experience with HR and recruiting in high-growth companies
Experience with scripting and analysis languages (Python, R)
Experience with Git
Experience with providing analytics support for recruiters and leadership teams
Familiarity with statistics and probability

More about our team

Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to do things differently. Key to this growth is bringing in the right talent - and valuable analytics are paramount to that effort. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Group Manager Analytics And Data Science

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!

Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?

We’d love you to join us:

We're looking for an Analytics & Data Science leader (Group Manager) with strong business instincts, management experience, creativity, and analytics mastery. Someone who is passionate about applying these skills to lead multiple analytics teams, drive smarter product decisions, and ultimately delight our customers.

In this role you'll get to:

Collaborate with Atlassian’s product leaders to provide data-driven viewpoints on strategic decisions, identify high impact opportunities for analysis and align priorities with the company strategy and product roadmap
Lead a team of data science managers and plan insight and measurement roadmaps by collaborating with product partners, customer research, data engineers and other analysts
Design targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer value
Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On the first day, we'll expect you to have:

Extensive proven experience applying your analytics to initiatives which have had a positive impact on company level business and product decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality; with experience coaching teams to balance rigor, perfection and speed
Strong ability to influence; crafting compelling insights, explaining data science concepts to diverse audiences, and building decision confidence by sharing expertise of facts and uncertainties
Familiarity partnering with multiple business functions. For example; Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teams
Extensive previous experience in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in A/B experimentation
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's a bonus, but not required, if you have:

An understanding of SaaS business model and metrics
Previously worked in global teams and high growth companies
Are an active member of the broader analytics and data science community

More about our team

Product Analytics at Atlassian is an exciting, high growth and evolving space. At our core, we drive value for both our customers and the business by understanding how and why our customers use and love our products. We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.


Marketing Data Science Manager Smb And Monetization

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a best-in-class product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, then this role could be a great fit! We're looking for a Manager with strong technical and leadership skills to lead our Marketing Data Science team for small businesses.

In this role, you'll get to:

Apply creative analytical problem solving skills to a wide variety of marketing questions to deepen our understanding of go-to-market performance, customer journeys, and campaign effectiveness.
Collaborate with leadership in marketing and cross functionally to provide a data-driven viewpoint on strategic decisions.
Build and lead a high performing team of analysts to provide insights and drive impact for Atlassian’s Marketing team.
Drive success of Atlassian’s small business go to market engine through best-in-class analytics

On the first day, we'll expect you to have:

6 + years of experience in analytics or closely related fields
1 + years of experience managing teams
A passion for building analytics frameworks to measure new and open ended business strategies
A proven track record for crafting raw data and analysis into well-written and persuasive content
The ability to prioritize your time wisely against multiple competing projects and requests
Comfort with structuring and coaching others to work through open-ended business questions through analytics
Advanced proficiency in SQL
A willingness to learn and adapt to new technologies and methods as needed

It's great, but not required if you have:

Experience with small business marketing and low touch sales
Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
Experience with scripting and analysis languages (Python, R)
Experience with Git
Familiarity with statistics and probability

#LI-EW1

More about our team:

Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to doing things differently. We're able to distill highly complex analytical terminology and concepts into easily consumable language, and we interface directly with marketing teams to transmit that knowledge effectively. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Principal Data Scientist Confluence Performance


Senior Data Scientist Product Analytics

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!

Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?

We’d love you to join us!
We are looking for a Senior Data Scientist to join our Product Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organization whose mission is to enable our customers to connect every dimension of their work with greater visibility, organization, and impact through our industry-leading Jira Software.

In this role you'll get to:

Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product roadmap
Design targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer value
Drive the measurement culture and understand the impact our product strategy
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On the first day, we'll expect you to have:

Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling stories
Familiarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's a bonus, but not required, if you have:

Previously worked in global teams and high growth companies
An understanding of the SaaS development, business model and metrics
Experience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
Advanced degree in Computer Science, Math or Statistics

 More about our team

Product Analytics at Atlassian is an exciting, high growth and evolving space. At our core, we drive value for both our customers and the business by understanding how and why our customers use and love our products. We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.


Senior Data Scientist Product Analytics Halp

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian helps teams everywhere change the world, and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionizing the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!

Do you have a passion for crafting products and insights with data? Do you enjoy using data to solve business problems and create customer value? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company? Then this role could be for you!

This role is a unique opportunity to work with a fast-moving team that joined Atlassian via acquisition and is growing quickly. You’ll be the first data scientist focused on this product, giving you the opportunity to build the entire analytics architecture from the ground up while working with a small, agile team. At the same time, you’ll be able to leverage the resources, brand, and scale of a global Fortune 100 company.

The product you will be focused on is Halp - one of Atlassian’s new products. Halp is a conversational ticketing solution for internal IT and operations teams using Slack and Microsoft Teams. The product impacts millions of employees at future-thinking companies like Peloton, Pinterest, and Unity. It is used to dramatically reduce ticket resolution times, increase user satisfaction, and amplify productivity. Our customers produce millions of interactions with the product every week, creating a treasure trove of valuable data.

In this role you'll get to:

Own the data analytics efforts for the entire Halp product.
Build out the data architecture, systems, and dashboards to enable everyone at the company to access and understand Halp’s data.
Work closely with the product, engineering, design, and marketing teams to ensure we are measuring the right things to make data-driven decisions.
Design targeted explorations of Halp’s product data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer value
Drive the measurement culture from understanding the big picture product strategy right down to the experiment implementation details.
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On the first day, we'll expect you to have:

Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explain complex concepts to diverse audiences, and craft compelling stories
Familiarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one visualization tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's a bonus, but not required, if you have:

Previously worked in global teams and high growth companies
An understanding of the SaaS development, business model and metrics
Experience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
Advanced degree in Computer Science, Math or Statistics

More about our team

Product Analytics at Atlassian is an exciting, high growth and evolving space. At our core, we drive value for both our customers and the business by understanding how and why our customers use and love our products. We are a collaborative team of high achievers. We love to explore, challenge and have a lot of fun along the way.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.


Senior Email Marketing Data Scientist

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong this could be a great fit!

In this role, you'll get to:

Establish measurement methodologies to understand the value of email as a channel that contributes to acquisition, onboarding, cross sell and retention. Build business cases for investing additional resources into the email program.
Use experimentation methodologies, control groups etc. to measure the impact of email campaigns and suggest improvements to marketers.
Collaborate with our audience targeting and segmentation team to ensure customers are receiving consistent and meaningful messages.
Work with our Marketing Engineering and Data Engineering teams to improve the tools and data sets we have for the email channel.
Build & enhance reporting for marketers to monitor the performance of the email channel.

On your first day, we'll expect you to have:

5-7 years of experience in analytics
1-2 years of experience in email marketing
Advanced proficiency in SQL
A strong intuition for crafting raw data and analysis into well-written and persuasive content
The ability to juggle multiple projects and priorities
Experience collaborating with senior management and translating insights into decisions and actions
Comfort operating in ambiguous, fast-changing environments
Proficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
Proficiency in at least one marketing automation tool such as Market, Eloqua, Exact Target, etc.
A willingness to learn and adapt to new technologies and methods as needed

It's great, but not required if you have:

Experience working in a global environment with remote teams
Experience with scripting and analysis languages (Python, R)
Experience with Git
Experience with providing analytics support for multi-channel campaigns
Deep knowledge of statistics and probability
An advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science

More about our team
Atlassian is over a decade old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to doing things differently. We're self-proclaimed unicorns that are able to distill highly complex analytical terminology and concepts into easily consumable language, and we interface directly with marketing teams to transmit that knowledge effectively. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Senior Manager Data Science

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Job description

Do you get excited by the challenge of scaling a fast-growing company through strong analytics insight and data science solutions? Do you find it rewarding to navigate through complexity and solve problems nobody had solutions before? Are you enthusiastic about experimentation, fast learning and innovation?

We’re looking for a senior leader to grow a high-performing Workforce Analytics team with a passion to solve business problems with advanced analytics. You and your team will be the strategic partners with senior business leaders, identify opportunities and problems, test and measure hypotheses, build analytics and data science solution, and surface insights to drive transformative changes.

More about you

The perfect candidate will be a seasoned people leader with a background in applied statistics, economics or a related quantitative field. You have strong business acumen, you are comfortable with ambiguity and complexity, and you have experience working with senior leaders and cross functional teams. You are a self-starter, a strategic thinker, a data-driven problem solver, and a humble learner. You have demonstrated success in using data science to drive understanding, progression, and decision making for large organizations. You have domain knowledge in workforce analytics and people analytics.

In this role you will get to:

Hire, lead, and grow a team of data scientists with great technical skills, business acumen, and value fit
Partner with senior leaders to identify business opportunities and build KPIs
Partner with cross-functional teams (program management, workforce planning team, etc) to drive transformative initiatives and make impact
Be the thought leader to build analytics strategy, provide transparency of roadmap, and drive sprint planning
Build shared vision, empower a team of missionaries, and deliver high quality outcome
Drive actionable analytics insights, build data science solutions, and measure impact
Manage roadmapping, sprint planning, stakeholder engagement, and remove blockers when needed
Be a great communicator to share complexed ideas simple, advocate team's work and coach data storytelling

On your first day, we'll expect you to have:

8+ years experience as a people leader with proven success
15+ years experience in analytics and data science field
Success at hiring, managing, and growing a global team remotely
Strong business acumen and strategic thinking - when there is complexity and ambiguity, you can help your team identify the right problem to solve
Success at building a culture of data-informed decision making, fast learning and innovation
Strong communication skills to tell data stories to non-technical audience
Strong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentation
Experience applying advanced analytics knowledge to the real world
Roadmap planning, sprint planning, and project management skills
You have domain knowledge in workforce analytics and people analytics

It's great, but not required, if you have:

Experience in B2B, customer support, customer success
Experience in product analytics, people analytics
Experience with large data sets and distributed computing (Hive/Hadoop)
Experience in using Jira, Team Central, Confluence to manage and share team's work

More about our team

We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other constantly to improve our work and ask hard questions. We're direct, focused, and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly growing, learning, adapting, and trying new things. BBQ, tacos, and coffee are a few of our favorite things.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.


Senior Marketing Data Science Manager

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Do you love examining complex data and turning it into useful information and insights? Do you love finding the next big ‘aha’ insight which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the world's hottest SaaS company?

Atlassian is looking for an Analytics Manager to join our Marketing Data Science team. We’re seeking someone with strong business instincts and analytics mastery, who is passionate about applying these skills to drive smarter data decisions and ultimately, delight our customers.
You'll be responsible for understanding and optimizing critical moments in our product buyer journey. You’ll do this by developing relationships with analytics and go-to-market specialists to understand the business and coaching a team of data-savvy analysts to develop insights and recommendations. Atlassian is a fast-paced, work environment and there are plentiful chances to create impact in this role.

In this role, you'll get to

Drive analysis that defines our product funnel from marketing to sales and provides insights into performance and business outcomes
Apply various data science methods to understand the most important aspects of our product go-to-market experience and buyer journey
Use your knowledge of multiple products and initiatives to meaningfully contribute to a shared Marketing Analytics Roadmap
Manage and coach a growing team of 5+ analysts in solving a variety of business problems

On the first day, we'll expect you to have

A U.S. Bachelor or higher degree, or its equivalent, in Computer Science, Information Technology, Information Systems Management or a closely related field of study
Experience managing teams of 3+ analysts and are keen to develop coaching skills
Excellent judgment and sharp business instincts to prioritize competing asks
Familiarity with a broad set of topics and subject areas within marketing analytics (e.g. campaign attribution/effectiveness, web tracking, customer lifecycle marketing)
Experience writing advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
Proficiency in at least one programming language (e.g. Python, R) as well as a visualization & business intelligence platform (e.g. Tableau, Looker, Mode)

It's great, but not required, if you have

Experience working in a global environment with remote teams
Experience within B2B marketing, growth, or sales analytics working with a field sales team
Experience across a broad set of statistical and machine learning methods to build descriptive and predictive models
Experience in schema design and dimensional data modeling and building data pipelines
Experience with operational tools and systems such as Marketo, Salesforce, or Segment

More about our team

The Marketing Analytics team has spent many years blazing new trails to enable Atlassian's most important growth decisions. We are constantly growing, learning, and trying to do things differently. We connect the dots from highly complex data to how our go-to-market teams can create impact effectively with that knowledge. We are thorough and dedicated to an agile methodology that enables timely decisions, while still ensuring quality work. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. For us, it is all about enabling Atlassian to grow by delivering data in the right way, at the right time, to partners across the company.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Senior Marketing Data Scientist

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and technical creativity, you will empower marketing leaders to quickly and accurately measure the impact of our initiatives. We're growing quickly, so you'll need to define, implement, and scale the systems and processes for delivering insights to colleagues across the marketing organization. You'll be a phenomenal fit for this role have a strong bias towards action and enjoy finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong.

On your first day, we'll expect you to have:

5-7 years of experience in analytics/data science fields
Advanced proficiency in SQL
Ability to measure the impact of marketing tactics like paid digital ads, emails and website experimentation on business results
A deep understanding of Enterprise SAAS business models and metrics like Pipeline, MQLs, SQLs etc.
Experience collaborating with senior management, translating data-driven insights into decisions and actions
Comfort operating in ambiguous, fast-changing environments
Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker etc.

It's great, but not required if you have:

Experience in using at least one scripting language (Python, R, HTML, etc.)
Experience with Git and the ability to work comfortably with a command line interface
Proficiency in at least one marketing automation tool such as Marketo, Salesforce etc.
Deep knowledge of statistics and experimentation
An advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Senior Marketing Data Scientist Agile Devops

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Do you have a passion for crafting products and insights with data and do you love finding the next big ‘aha’ which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?

We'd love you to join us!

We are looking for a Senior Data Scientist to join our Product Marketing Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.

You’ll be part of Atlassian’s multi-discipline Agile & DevOps product organization whose mission is to enable our customers to connect every dimension of their work with greater visibility, organization, and impact through our industry leading Jira Software.

In this role, you'll get to:

Collaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and product marketing roadmap
Develop comprehensive program and product views of go-to-market performance by defining customer journeys, measuring product performance and making strategic recommendations for improvement
Drive the measurement culture and understand the impact our product marketing strategy
Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On your first day, we'll expect you to have:

Proven experience applying your analytics skills to projects which have had a positive impact to company level business decisions
An agile development mentality, appreciating the benefit of constant iteration and improvement
A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling stories
Familiarity working with Product Marketing, Customer Research and Data Engineering teams
Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
Proficiency in at least one vizualisation tool (e.g. Tableau, R-Shiny)
A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's great, but not required if you have:

Previously worked in global teams and high growth companies
An understanding of the SaaS development, business model and metrics
Experience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organization
Experience in building ETL pipelines using any tools or scripting languages
Are an active member of the broader analytics and data science community
Advanced degree in Computer Science, Math or Statistics

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Senior Marketing Data Scientist Buyer Experience

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, actionable insights, and strong recommendations.

We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the marketing organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!

In this role, you'll get to:

Use data to make sense of complex buyer journeys. Analyze how customers navigate our marketing websites and identify opportunities for improvement.
Report on KPIs for www.atlassian.com. Research and explain trends and their impact on the success of the overall business.
Apply advanced statistical techniques and causal inference methods to design and analyze web experimentations (i.e. A/B testing, quasi-experimentation, statistical tests, Bayesian experimentation, etc.).
Contribute to experimentation best practices and standards across marketing.
Ensure a high standard for web tracking and data collection/quality.
Collaborate with engineers, marketers & senior leadership to bring data to the forefront of business decisions.

On your first day, we'll expect you to have:

5-7 years of experience in analytics
2-3 years of experience in e-commerce, web analytics, buyer journeys
Deep understanding of statistical techniques for experimentation
Advanced proficiency in SQL
A strong intuition for crafting raw data and analysis into well-written and persuasive content
The ability to juggle multiple projects and priorities while maintaining the highest standard of work and attention to detail
Experience collaborating with senior management and translating insights into decisions and actions
Comfort operating in ambiguous, fast-changing environments
Proficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
A willingness to learn and adapt to new technologies and methods as needed

It's great, but not required if you have:

Experience working with international teams
An understanding of Enterprise SAAS metrics and measurement techniques (MQLs, SQLs, Lead Scoring)
Experience with scripting and analysis languages (Python, R)
Experience with Git
An advanced degree in a quantitative discipline such as statistics, economics, mathematics, or computer science

#LI-EW1

More about our team

Atlassian is over a decade old, but the Marketing Analytics team is much younger. We blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to do things differently. We're self-proclaimed unicorns that are able to distill highly complex analytical terminology and concepts into easily consumable language, and we interface directly with marketing teams to transmit that knowledge effectively. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

More about Atlassian

Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.

Additional Information

We believe that the unique contributions of all Atlassians is 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.

All your information will be kept confidential according to EEO guidelines.

If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.

Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Staff Data Scientist

About Shift:
We believe car buying should be fun, fair, and accessible to everyone. We’ve set out to transform an industry, using technology to bring transparency and convenience to the car buying process.
And we aren’t stopping there. We seek to bring that same openness and simplicity to car ownership too, with payments, maintenance, and insurance in one easy app. At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
About the role:
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy, you will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning. You lead by example and foster a culture of technical excellence, humility and lifelong learning.
This is an opportunity to join a fantastic team at a hi-tech fast-paced Silicon Valley company which is transforming an entire industry. You will report to the Director of Data Science. We’d love to talk to you about what great things you’ll do here.
What you'll do:

Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.

What we ask for:

Passion for data, technology and people.
PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis
Expert in Statistical Studies

Nice to have:

Databrick experience
Redshift experience
Experience with monitoring and instrumentation tech and vendors such as Segment, New Relic, Datadog, Pingdom and PagerDuty.

Who We Are
At Shift, we’re all about growth - which means people who are eager to grow, who are ready to roll up their sleeves and learn new things. We were founded by a scrappy group of visionaries who were by no means “car experts” - so we don’t expect you to be one, either!
We’ll take the open-minded go-getter over the pure subject matter expert any day. In that spirit, we also care about building a diverse and inclusive workplace and company. To put it simply, cars are meant for everyone, so we believe our company should be, too. We never discriminate against any candidate on the basis of gender, sexual orientation, gender identity, age, race, ethnicity, religion, color, national origin, marital status, veteran status or disability status. We welcome and encourage people of all backgrounds and walks of life to apply, even if you’re unsure if you meet all the requirements. (Even if this particular role isn’t the right fit, chances are we will have the right one soon!)
Why Join Now?
Having gone public in October 2020, we are at the beginning of our journey and hope you join us for the ride! Shift is a leading end-to-end auto e-commerce platform transforming the used car industry with a technology-driven, hassle-free customer experience. Shift’s mission is to make buying or selling a used car fun, fair, and accessible to everyone. We provide comprehensive, digital solutions throughout the car ownership lifecycle: finding the right car, having a test drive brought to you before buying the car, a seamless digitally-driven purchase transaction including financing and vehicle protection products, an efficient, digital trade-in/sale transaction, and a vision to provide high-value support services during car ownership.
Website | Facebook | Instagram | Twitter | LinkedIn | About Shift (Team)
Shift is an Equal Employment Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.


Lead Marketing Data Scientist

ezCater is the world’s largest online marketplace for catering – a $60+ billion market just in the U.S. Businesspeople use us to find and order great food for meetings and events; restaurants and caterers use us to grow their catering business. We’re backed by world-class investors including Insight Partners, Iconiq Capital, and others, and in early 2019 were valued at $1.25 billion. COVID slammed us, but we responded by finding new customer segments and seizing the rare opportunity COVID offered: when in life does a very successful operation get a do-over? Come help us power Food For Work even better than we did it the first time.

Are you passionate about data?  The Marketing team at ezCater serves hundreds of thousands of professionals feeding their teams with our platform - with data at the heart of decision making and strategic growth.  We are expanding our Data Science capabilities across the team.  Applying advanced statistical and Machine Learning methods to key optimization spaces, such as pricing, customer targeting, demand elasticity and LTV optimization, this role is critical to our mission of continuously improving the outcomes we provide to our customers.

As a member of the Marketing Data Science team and leader of our Data Science guild, you will be working closely with the business partners to address high-value and high-visibility problems while serving as a leader and mentor to Data Scientists serving multiple functions across the business.  Data Scientists at ezCater leverage a diverse set of educational and professional backgrounds to bring creative solutions to our business’ largest opportunity spaces.  We leverage a modern ML Operations stack (including AutoML tools where appropriate) and strong business partnership to ensure our work doesn’t end with a report, but lives in our product and decision making processes over the long term.

What You'll Do:

Leveraging a modern Data Science/ML Stack, use advanced analytical, modeling and simulation techniques to develop insights and systems that improve our ability to serve our customers and catering partners efficiently.
Expose patterns across structured and unstructured data to identify business opportunities, working with business partners on problems that will materially benefit our customers and our results.
Focus on end-to-end problem solving, working with business analysts and BI teams on exploratory analysis and Operations and Software engineering teams to productionalize model outputs.
Proactively identify opportunities for the application of Advanced Analytics and Machine Learning across the catering partner business - serve as an advocate for continuous improvement across the analytics space.
Serve as guild lead for a team of business-facing Data Scientist across the business.  Mentor, coach and develop operating constructs to ensure Data Science at ezCater is implemented consistently and in an industry-leading manner across both notebook-based and AutoML solutions.
Contribute to ezCater’s culture of personal and professional growth by leading projects with multiple stakeholders and mentoring others in this valuable field.

What You Have:

Experience with both natural and controlled experiment design and a proven ability to solve and communicate complex problems using both technical skills and creativity.
Expertise and prior experience applying Python, R or similar programming languages within statistical modeling and ML spaces.
Experience working with common Python tools (e.g. Scikit-learn) and AutoML software (e.g. DataRobot) preferred.
A proven ability to apply a scientific approach to building models, evaluating statistical outcomes and continuous improvement of your work
Proficiency in SQL is required.
A background in modern programming languages is preferred.
Experience coaching Data Scientists and analytical professionals at levels of experience ranging from early career to principle. Ability to work independently and collaboratively.
Our data stack is comprised of Snowflake, DBT, Stitch, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker. Any experience with the above is a nice-to-have.
Our AutoML Platform is DataRobot.  Experience in the tool is a nice-to-have.A sharp mind, a soft heart and a large funny bone.

Starting Salary Range: $134,000- $160,000

ezCater does not sponsor applicants for work visas or legal permanent residence.

What you’ll get from us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.

Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.

Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) once we get back to our offices, and knowing that you helped get this rocket ship to the moon.

ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.

For information on how ezCater collects and uses job applicants' personal information, visit our Job Applicant Privacy Policy.


Growth Scientist Woocommerce

Growth Scientists at WooCommerce sit at the intersection of marketing, product, and data science. They work closely with marketers and engineers to turn the available data into analyses, insights, and hypotheses that can:
increase activation and reduce churn through improved customer messaging and product placement across the customer lifecycle.
reduce the time it takes to make decisions across Marketing, Sales, and Product teams thanks to improved analytical capabilities.
increase Marketplace revenue through tailored product bundles and personalization.
In this role, you will use customer and product data across multiple channels to identify target audiences for tailored messaging, design and evaluate experiments to measure the incremental lift of marketing activities, and perform ad hoc analyses, such as predictive modeling, time series modeling and classification, to measure impact and inform business decisions.
Key Responsibilities:
Own marketing performance data as a whole across all channels, ensuring that metrics are consistent and our measurement is robust.
Analyze channel and product data to uncover meaningful insights and opportunities that lead to growth.
Design and analyze marketing growth experiments in collaboration with the team.
Validate tracking and data collection to ensure accuracy and consistency.
Empower the team to make effective decisions using data through internal tooling, dashboards, funnels and other reporting.
You:
Have at least 5 years of experience in a similar role.
Are a robust, proactive communicator comfortable with managing multiple priorities.
Have extensive experience measuring incrementality, including designing and running A/B and multivariate tests.
Have excellent quantitative research skills and experience applying statistical modeling, clustering, classification, and other analytical techniques in a business context.
Deeply understand business drivers to craft automated, easy to use reports and data visualizations in our BI tool (we use Looker).
Are a hands-on contributor and implementer, with proficiency in SQL.
Have programming experience with Python, R, or PHP.
Have experience using agile development tools (e.g., GitHub, Trello).
Have experience with data integration, connectors, and related APIs.
Have a deep knowledge of digital marketing concepts, channels, strategies, and related data outputs (including web analytics).
How to Apply
Sound exciting? Click the Apply button below and fill out our application form.
In your cover letter, please let us know what you can bring to the team AND please answer the following question:
Tell us how you approach balancing scientific rigour against the need to execute quickly.
About Automattic
We are the people behind WordPress.com, WooCommerce, Tumblr, Simplenote, Jetpack, Longreads, Day One, PocketCasts, and more. We believe in making the web a better place.
We’re a distributed company with more than 1800 Automatticians in 95 countries speaking 90+ different languages. We democratize publishing and commerce so anyone with a story can tell it, and anyone with a product can sell it, regardless of income, gender, politics, language, or country.
We believe in Open Source and the vast majority of our work is available under the GPL.
Diversity, Equity, and Inclusion at Automattic
We’re improving diversity, equity, and inclusion in the tech industry. At Automattic, we want people to love their work and show respect and empathy to all. We welcome differences and strive to increase participation from traditionally underrepresented groups. Our DEI committee involves Automatticians across the company and drives grassroots change. For example, this group has helped facilitate private online spaces for affiliated Automatticians to gather and helps run a monthly DEI People Lab series for further learning. Diversity, Equity and Inclusion is a priority at Automattic, though our dedication influences far more than just Automatticians: We make our products freely available and translate our products into and offer customer support in numerous languages. We require unconscious bias training for our hiring teams and ensure our products are accessible across different bandwidths and devices. Learn more about our dedication to diversity, equity, and inclusion and our Employee Resource Groups.
Apply for this Job
← Work With Us


Senior Data Scientist

Overview
Abl believes every student deserves the opportunity to make informed and meaningful choices about their life and future. Unfortunately, many students aren’t given the same opportunities due to systemic inequities. Abl offers advanced, data driven software and services to help K12 schools and districts identify and remove those inequities. We are currently doing this work with some of the largest districts in the country, such as Los Angeles Unified, New York Dept of Ed, Portland Public Schools, Denver Public Schools, and the state of Washington.
The Abl team is made up of veteran school leaders, district-level decision-makers, and teachers working together with veteran software engineers, designers, and data scientists.
We are looking for an experienced data scientist who will be a key innovator in leveraging data to provide robust recommendations and product features that positively impact students and teachers. Your contributions will have a meaningful impact on the lives of students across the country.
You’re excited about this role because...

You will frame and develop impactful and statistically sound insights, metrics, reports, and recommendations to improve student outcomes and equity.

You’ll take analyses and models from prototype to production using standard tools like SQL, Python/pandas, R/tidyverse, dbt, and Mode Analytics. These will power data visualizations in internal and customer-facing dashboards, real-time analysis and recommendations in our scheduling SaaS product, and presentations to stakeholders.

Your work will be supported by a data science platform that enables direct contribution to analytics and production data pipelines in SQL and Python.
You will report to the Head of Data Science and collaborate with our product and engineering teams as well as in-house experts in education.

We’re excited about you because...

You’re impact focused and autonomous: You excel at framing the larger question and identifying areas where data science can provide added value.

You can span the data science stack: You’ve done extensive analysis and modeling in a data-centric environment using Python/pandas or R/tidyverse, SQL and ETL pipelines, and you have experience taking these to production with the help of data platform tools.

You’re a steward of rigorous and responsible statistics: You have deep statistical intuition and experience developing high-impact models that impact individuals. You’re comfortable interpreting and applying academic research.

You value strong communication: You enjoy and excel at communicating complex findings in a simple, approachable way for technical and non-technical audiences alike. You effectively communicate your opinions to peers with expertise, humility, and kindness.

You have a growth mindset: You welcome feedback and new ideas and cultivate a collaborative environment.

Company Culture
Abl employees share a passion for revolutionizing education through school design, whether or not they have prior experience working in the field. We value diversity of background and thought. We strive to create a safe and supportive environment where trust, communication, creativity, and humility are valued as highly as technical skills. We believe shared ownership builds a more resilient company, and we tackle hard problems, together. If that sounds like your dream work environment, we look forward to hearing from you.
A Note to Candidates
Studies have shown that women, people of color, and folks from other groups underrepresented in technology are less likely to apply for jobs unless they believe they check all the boxes in a job description. We are most interested in finding the best candidate for the job, and that candidate may be one who comes from a less traditional background. If you think you’re a good fit, we encourage you to apply, even if you don't meet every one of our qualifications.


Ab Testing Data Scientist

Who We Are
True Fit is the industry's leading consumer experience platform leveraged by apparel and footwear retailers to decode fit and size and connect shoppers with only what they love. It has organized and connected the broadest footwear, apparel and consumer data in the world to provide best in class fit recommendations covering the industry’s brands and styles. The platform unites social, general and personalized fit guidance into one cohesive experience, driving shopper confidence and loyalty.Through serving shoppers across its network of retailers’ websites, True Fit delivers rich datasets back to retailers to inform their strategies and initiatives - from marketing and merchandising to sourcing and product development.  These data sets serve a tremendous need in today’s shifting market - who is this new shopper and how can they be met with relevance?True Fit is led by an experienced team of executives and leaders from fashion, retail, big data and ecommerce, and is backed by top investors.
True Fit is looking for an AB Testing Data Scientist to work with our team in the US. True Fit is 100% remote, so you can work from almost anywhere!
Data Scientist - AB Testing & Statistics Specialty
True Fit is searching for a Data Scientist with expertise in statistics & online A/B testing to be an important part of our Data Science & Engineering department.
You’ll be driving several projects, which include:
Collaborating with product management to optimize the performance of all aspects of our user experienceProviding guidance, analyses, and interpretations of  A/B Tests to internal and external clientsProviding statistical expertise to ongoing projects, including explaining statistical concepts to internal and external stakeholdersDeep investigations to solve unstructured/ambiguous problems including discovering unknown issues or trends that can influence product performance and our future roadmap
We use typical data science tools including: Python, Pandas, PySpark, SQL, Jenkins, Jupyter, Databricks, etc.
Communication with other teams is very important in this role and we are looking for someone with excellent communication skills in written and spoken English. We work closely with product management, data science, sales, and customer success - and we work internationally. We’re looking for someone who can communicate technical ideas to non-technical people and who works well as part of a team.
Education:
A Master’s degree in a quantitative field with statistical and experimental focus, or equivalent work experience.Minimum of 2 years of work experience
Other requirements:
Knowledge of and comfort using statistics (e.g., t-tests, Monte Carlo Simulations, understanding of power & confidence)Experience in designing, analyzing, interpreting, & debugging online A/B tests
Nice to have:
Advanced proficiency in SQL (Hive, Postgres, etc.) as well as experience using Python Pandas, R, or other powerful statistical analytics packages & toolsExperience working with third party A/B testing tools.Experience with big data/ distributed data tools
Why True Fit?
One size does not fit all in what you wear or your True Fit career. Everyone at True Fit has the opportunity to push their professional boundaries, while balancing personal ambitions.
We believe that how we dress is an expression of who we are and the confidence we feel. As an EEO employer, we work to help all team members experience an inclusive, diverse and accepting work environment, so you can be True To You.