Product Data Scientist

INTRODUCTION:
Notice: The Zebra herd will be offline from Friday, December 24th until Tuesday, January 4th for celebration and recharge for the new year!  We look forward to responding to you upon return. Thanks in advance for your patience and understanding. Happy holidays from our herd to yours!
The Zebra, named a Best Place to Work in Austin four years running, is revolutionizing how connected consumers research and shop for insurance. We’re a purpose-driven company looking for a Product Data Scientist to drive smarter product decisions. Reporting directly to a Senior Manager of Analytics, you will have clear visibility into company direction and strategy. In this pivotal position, you’ll define and track key performance indicators, support strategic initiatives, design experiments, evaluate A/B tests, implement data instrumentation, and identify consumer behavioral drivers to improve monetization and the user experience.
While we are open to remote work across the contingent US, we are still in the process of establishing our company to support work in all states! Like many companies, pre-COVID we weren’t set-up this way. We’ve recently made the shift from an in-office organization to a hybrid model and are loving the flexibility it allows our employees. We are set up to support employees who want to be fully remote, in-office only, and a mix of the two. Please note - we will not be supporting work based out of the following states: CA & MA.
This position is not currently eligible for visa sponsorship.
WHAT YOU'LL DO:

Work within our Core Insights team to prototype, prove out, and develop compelling business cases for new ideas within The Zebra
Apply analytical, regression, and machine learning techniques to describe, explain, and predict user behavior
Take a proactive and self-starter approach to digging into the data to find opportunities and problem areas across multiple team objectives
Consult and provide mentorship in the design and execution of experiments across the organization to guide product direction with iterative innovation and measurement
Analyze impact of A/B tests and feature changes on key performance indicators metrics to catch technical bugs and highlight product gaps and inefficiencies
Identify or design new performance indicators and add new metrics to our reporting tool to empower teams to be self-sufficient in their data reporting
Build internal tools and data resources to assist teams in meeting and exceeding their objectives
Collaborate with other analysts, the data team, and data science to establish standard methodologies and to investigate cross-departmental opportunities

REQUIREMENTS / QUALIFICATIONS:

3-5+ years professional (or comparable) experience in data science or analytics
Experience with SQL
Programming experience in Python, R, or SAS
Experience with A/B testing
Ability to assemble analysis datasets and creatively engineer model features
Experience in statistics & predictive modeling (experimental design, decision trees, clustering methods, regression, t-tests, etc.)
A passion for problem solving with strong analytical capabilities

EXPERIENCE THAT WILL IMPRESS THE HECK OUT OF US:

Experience with BI platforms, e.g. Looker, Tableau, Adobe or Google Analytics
Insurance, E-Commerce, or Financial experience
Advanced STEM degree

BENEFITS + PERKS:
Inclusive and healthy environments are crafted intentionally. All of our employees can join and participate in (or create your own!) Employee Resource Groups. Here are some of our other wonderful perks of working here:

Competitive Compensation & Stock Option Offering
Health, Dental, Vision & Disability Coverages
HSA offering + employer contribution
401k with match
Unlimited PTO + flexibility to enjoy it
Paid Parental Leave Program
Wellness perk ($100/month)
Pet Adoption Reimbursement ($300/year)
Learning & Development Stipends
Bi-Monthly Wednesday Catered Lunch
Zeal Care - Monthly wellness subscriptions ($35/month)
Curated monthly snack box - sent to your house
Join a team that truly lives their values, and values their lives (outside of the office. Cliche, we know… but we really mean it)

ABOUT THE ZEBRA:
The Zebra is the nation’s leading, independent insurance comparison site. With our dynamic, real-time quote comparison tool, consumers can identify insurance companies with the coverage, service level, and pricing to suit their unique needs. Headquartered in Austin, Texas, The Zebra has sought to bring transparency and simplicity to insurance shopping since 2012 -- it's “insurance in black and white.”
We've garnered attention and investment of some of the nation’s top venture capitalists. Check out all of our awards & recognition!
Our core mantra is "All Stripes Welcome." As part of our dedication to maintaining an inclusive and diverse workforce, we provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability or genetics. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform core job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


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 roadmapDevelop comprehensive program and product views of go-to-market performance by defining customer journeys, measuring product performance and making strategic recommendations for improvementDrive the measurement culture and understand the impact our product marketing strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe 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 decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA 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 storiesFamiliarity working with Product Marketing, Customer Research and Data Engineering teamsExpertise 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 companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics


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 analytics1-2 years of experience in email marketing Advanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to juggle multiple projects and prioritiesExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency 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 teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsDeep knowledge of statistics and probabilityAn advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science


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 analytics2-3 years of experience in e-commerce, web analytics, buyer journeysDeep understanding of statistical techniques for experimentationAdvanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to juggle multiple projects and priorities while maintaining the highest standard of work and attention to detailExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency 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 teamsAn understanding of Enterprise SAAS metrics and measurement techniques (MQLs, SQLs, Lead Scoring)Experience with scripting and analysis languages (Python, R)Experience with GitAn advanced degree in a quantitative discipline such as statistics, economics, mathematics, or computer science#LI-EW1


Senior Principal Data Scientist Pst

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.
Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!
As a Senior Data Scientist on our Customer Support Services team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.
Some examples of what you'll be doing:
Work with a cross functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bearDevelop strong collaborative partnerships with business and operations leadersUse compelling data, deep business acumen and exceptional communication to drive business strategy and executionAddress business challenges, performance bottlenecks and growth opportunities with analytic solutionsPropose rapid experiments or A/B tests to assess the effect of new strategies or initiatives, and iterate quickly
Some skills and tools you'll use are:
Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurementTools: SQL, Tableau, R / Python, Excel, etc.Collaboration: Confluence, Jira
More about you:
You've been working with data for 5+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field.You have experience in building business impacting analytic solutions and experience using data to influence operational teams. You have strong communication skills (non-technical) and core tech skills.To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.You are someone who actively likes to mentor / grow less experienced analysts.You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.You combine curiosity with critical thinking and good judgment, and like asking "why" to unravel a seemingly complex problem and get to the root cause.You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise and communication / coordination skills to push through ambiguity and up-skill those around you.When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.


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 roadmapDesign targeted explorations of our seriously big data, in order to understand trends, find opportunities, and make recommendations to improve user journeys and customer valueDrive the measurement culture and understand the impact our product strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe 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 decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA 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 storiesFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise 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 companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics


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 valueDrive 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 analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe 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 decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA 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 storiesFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise 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 companiesAn understanding of the SaaS development, business model and metricsExperience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science communityAdvanced degree in Computer Science, Math or Statistics


Data Scientist Enterprise Marketing

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 and sales organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this could be a great fit!
We're looking for an analyst with outstanding technical and leadership skills to provide insights on our enterprise-focused go to market efforts across marketing and sales.
In this role you'll get to:
Create analytical insights from our customer and marketing data to drive more effective go-to-market strategy. Example topics include segmentation, lead prioritization, customer lifecycle strategy, and more.Lead work cross functionally with teams like Sales Operations, Marketing and IT to design metrics and manage performance of a unique go to market model that blends B2B sales best practices with B2C and self-serve.Join a high performing team of analysts and play an active role in team collaboration and culture.Partner with go to market leadership across marketing and sales to bring data to the forefront of business decisions.
On the first day, we'll expect you to have:
2-4 years of experience in analytics, data science, or other quantitative fieldAdvanced proficiency in SQLA strong intuition for crafting raw data and analysis into well-written and persuasive contentExperience in B2B marketing or sales analytics and experience working with a field sales teamAbility to balance priorities while maintaining the highest standard of work and attention to detailExperience collaborating with senior management and translating insights into decisions and actionsComfort operating in ambiguous, fast-changing environmentsProficiency in at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.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 teamsExperience with scripting and analysis languages (Python, R)Experience with GitExperience with providing analytics support for multi-channel campaignsExperience with statistics and probability in a business setting


Manager Data Science 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 manager to join our Product Analytics team, working with teams in Australia and the US. We’re seeking someone with strong business instincts, management experience, creativity and analytics mastery. Someone who is passionate about applying these skills to lead an analytics team, drive smarter product decisions, and ultimately delight our customers.
You will be part of Atlassian’s Accelerator organization whose mission is to accelerate the growth of Atlassian through new users and new products. As a leader, your peers will rely on your expertise and you will play a major role in driving initiatives that keep Atlassian at the forefront of world-class analytics and data science.
In this role you’ll get to:
Work with product leaders to identify high impact opportunities for analytics and data science and align priorities with the product roadmapLead a team of data scientists to identify, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsPlay with our seriously large volume of analytics data to understand trends, find opportunities and make recommendations to improve user journeys and customer valueBe a part of building a world-class analytics culture, 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 skills projects which have had a positive impact on strategic and product roadmap decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvement.A very high bar for output quality, while balancing “having something now" vs. "perfection in the future"Strong ability to communicate and influence, crafting compelling insights, explaining data science concepts to diverse audiences, and impacting decisionsFamiliarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teamsExpertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)Strength in one or more visualization tools (Tableau, R-Shiny, etc)An understanding of the SaaS development, business model and metricsExperience in A/B experimentationA 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 companiesAre an active member of the broader analytics and data science community


Senior Marketing Data Scientist Partnerships

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? Do you love finding the next big ‘aha’ that 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, Partnerships, to join our 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.
Partnerships, specifically technology partners, are industry peers with products that complement the Atlassian product suite. Through integrations that unlock combined use cases, our customers are able to accomplish more with their teams from these ‘better together’ capabilities. You’ll be responsible for working with our Marketing, Partnerships, and Product Integrations teams to measure success of rich partnerships and integrations between Atlassian products and popular services such as AWS, Slack, Zoom, Okta, Google, Microsoft, and others (examples appear in Atlassian’s recent investor letter). These partnerships help drive customer acquisition and growth and you’ll play a pivotal role in the company's future success.
In this role you'll get to:
Develop comprehensive program views of go-to-market performance by defining customer journeys, measuring partnership performance and making strategic recommendations for improvementCollaborate with analytics and product leaders to identify high impact opportunities for analysis and align analytics & data science priorities with the company strategy and marketing roadmapDrive the measurement culture and understand the impact our partnership marketing strategyEnvision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analystsShare your high-quality insights and recommendations to various levels of leadership to drive critical business decisionsBe part of building an outstanding analytics culture at Atlassian. Lead 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 to company level business decisionsAn agile development mentality, appreciating the benefit of constant iteration and improvementA 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 storiesFamiliarity working with Product Marketing, Customer Research and Data Engineering teamsExpertise 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 great, but not required, if you have:
Previously worked in global teams and high growth companiesAn understanding of B2B marketing, business model and metrics Exposure to two-sided marketplaces Experience in customer and/or product analytics, particularly in delivering outputs which can be used to advance analytics projects across an organizationExperience in building ETL pipelines using any tools or scripting languagesAre an active member of the broader analytics and data science community#LI-AW1


Senior Data Scientist Customer 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.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionate driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will work closely with the Enterprise Trust team to ensure our cloud is ready for our large enterprise customers. This includes enhanced security, reliability and scale, compliance with FedRAMP and HIPPA, building features that are cited as cloud blockers for these enterprises, and building tolling for migration of data. You will often use imperfect data to influence strategic company decisions under tight timelines. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / RA strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritize your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impact
It's great, but not required, if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic


Head Of Data Science

At Density, we build the infrastructure necessary to measure how people use space. The result of distributing this platform is lower emissions, less waste, better access, safer buildings, and better designed cities. It is a long term pursuit and one we could use your help achieving.

The product and infrastructure is nuanced and one-of-a-kind. Building this product for scale has been an exercise in patience, creativity, remarkable engineering, laser physics, global logistics, and grit. The team is thoughtful, driven, and world-class.

Importance of Data Science at Density

At its core, Density boils down to its real-time people counting algorithm. We are only as good as our data and our engineers. Density’s Data Science team is uniquely challenged with accurately counting people using a variety of sensors that focus on anonymity at the source. If you get excited about using cutting-edge lasers, radar, and lidar tech and building advanced machine learning algorithms that process billions of data points, you should join our team.

As Head of Data Science you will be leading some of the most technical teams with the widest skill sets at Density. Everything from our machine learning algorithms on the embedded devices, to the cloud software the CS & Engineering team use to evaluate our accuracy and performance, will be under your supervision.

Who you are:

You thrive when developing great people, not just great products
You have experience in cultivating a strong engineering culture in an agile environmen
tYou have previous experience developing large scale production ML systems
You are either an experienced manager or a senior individual contributor with strong people skills and leadership experience
You have previous industry experience with large scale ML systems using frameworks such as PyTorch, Tensorflow, and Scikit-learn
You're familiar with the industry trends and keep up with the latest product offerings, and can understand trade-offs of existing solutions
Ideally, you're actively engaged in the ML community (open source, meetups)

The ideal candidate will have:

5+ years experience working as a Machine Learning Engineering Manager
3+ years experience as a software engineer focused on ML and Algorithm tooling
Experience with embedded systems and hardware engineering (Buildroot / Linux)
Experience with Cloud APIs and Software Application development (Django / Python)

What we bring:

A team hailing from places like Apple, LinkedIn, Stripe, Cisco Meraki, Hashi Corp, WeWork, NASA, & beyond.
$227 million raised from investors like Kleiner Perkins, Founders Fund, and Upfront Ventures.
A work environment full of fun, smart, talented, dedicated, and truly kind teammates.
Our values are be humble, seek feedback, and always solve the fundamental problem. These values are hard to achieve but we aspire to them daily.
Excellent benefits including medical, dental, vision, mental and reproductive health,  401K, equity, Flex Fridays, Remote Friendly, unlimited and mandatory PTO, and more.

We are looking for candidates who are strong in several areas and have exposure to or interest in the others. Most of all, we are looking for candidates who see themselves as a meaningful addition to Density’s team and culture.


Data Science Manager

Why you?
You are someone who brings your life experience to create products that truly make a difference in the lives of working parents. You use data to inform roadmaps, but you also know when you have enough information for action. You love the challenge of prioritizing user needs amongst multiple business objectives. You enjoy growing from diverse perspectives and coworkers while collaborating with others in a cross-functional team, and across departments.
You are looking for something more from your job. Maybe a bigger problem to solve with both immediate and long term impact, or perhaps you just need a mission you can believe in every day. You are scrappy and collaborative while looking to join an inclusive and supportive culture with a bias for action. You dig a balanced startup life and can wrestle challenges with grace. You love big, interesting problems and bringing solutions to the masses while making sure it feels personal, authentic, and connected. If this sounds like you, we'd like to talk.
Why us?
The Mom Project is a pioneering, remote-first venture-backed startup with roots in Chicago & Cincinnati. We are backed by some of the best investors in the world and are lucky to be surrounded by an incredible team of advisors, including Serena Williams.
The Mom Project is a platform and community leading a cultural movement that matches companies with diverse talent. To date, our platform has unlocked over $200M in earning potential by connecting our 500,000+ moms and mom-supporters with opportunities at world class brands like Apple, Accenture, Etsy and Nike… and we are just getting started!
Our team is growing as we push to rewrite the narrative for working women at every stage of life. We believe women should be able to choose both a successful family life AND career aspirations without sacrificing one over the other. Our commitment to Diversity, Equity, & Inclusion across race, gender, age, religion, identity, and experience drives us and our mission forward every day. We strive towards inclusion and that means everyone is comfortable bringing their authentic and best self to work every day.
About the Role:
We’re looking for a Senior Manager of Data Science to lead our growing team, which currently has two senior data scientists! The data science team was fully established in summer 2021 and the team is putting the foundational pieces we need in place. We are looking for a lead who can continue building out the data science team and collaborate with other teams to get models into production.
Our data science team is full-stack, meaning we own the DS process end-to-end from training models to API deployment. We code in Python, and we use technologies like Docker, Redshift, FastAPI, and PyTorch. We work in two-week sprints with daily scrums, bi-weekly planning, demos, and retros.
All applicants applying for U.S. job openings must be legally authorized to work in the United States and are required to have US residency at the time of application
What you’ll do:
Manage, mentor and coach data scientists Shape the roadmap for data science with the team’s product manager Facilitate communication with other teams, including product managers and engineering managers, to ensure data science needs are on other teams’ roadmaps Collaborate with our platform team to ensure we have the infrastructure we need for data science Define processes and standards for the team to follow Jump in code reviews  Advocate for best data practices throughout the organization including thinking about what data we should be collecting Evangelize data science throughout the company Recruit data scientists to build up the team Represent data science with external vendors
The skills and abilities you’ll need to succeed:
You have been the people manager of a data science teams before (at least two years of experience) You have built out roadmaps for data science teams You’re excited about joining a new team and developing best practices You like working in a startup environment; part of your job will include establishing the infrastructure needed for data science You can collaborate with folks across the company, e.g. product, engineering, finance, operations, and sales You enjoy thinking about industry best practices for data science projects You have experience writing production Python code that follows best software engineering practices including writing unit tests and Dockerizing projects You care about ensuring that the algorithms the team builds are not biased against specific groups of people You enjoy working with a team of goofy people who do things like name all of their projects after candy

Why you’ll love working for TMP:
Compensation & Benefits:
Base Compensation Full medical, dental, vision  Short and Long Term Disability Generous Paid Parental Leave  Family planning benefits through Progyny Generous PTO (that people actually use!) 401K match Career Pathing Flexibility/Autonomy Talkspace
Let me see those Perks, Perks, Perks!
An incredible remote team that will support and champion your work Casual Culture: because work should be a place you want to be Health and Wellness stipend Learning and Development stipend  Work From Home Stipend
We're just getting started. Join us in building the future of work.


Data Scientist Analytics

Our Mission:
In the age of large marketplaces like Amazon, we expect products delivered to our doorsteps in one or two days at no extra cost. Millions of sellers on other marketplaces fall short, unable to afford fast product delivery to their customers. Our mission is to build an intelligent, asset-lite network that enables any seller to offer ultra-fast, low-cost fulfillment -- transforming the $8 - $12 trillion per year fragmented and outdated logistics industry.
Our Team:
Our backgrounds span journalism, academia, consulting, entrepreneurship, and more. We’re united by our curiosity, bias for action, and entrepreneurial ownership. We're looking for intelligent and ambitious people to join us in the early stages of building our vision -- backed by leading firms in logistics and venture capital.

What you'll do:

Discover and communicate patterns in your business domain (e.g., trucking economics, shipping performance) using your quantitative analysis and data communication skills.
Influence metrics by identifying impacting levers, making recommendations to other teams, and measuring impact.
Empower stakeholders to understand patterns in your domain by defining core metrics and designing / building / maintaining self-serve analytics (i.e., business intelligence tools).
Inform Deliverr’s decisions around your domain by providing insights via sound analysis.

What we’re looking for:

Knowledge

Quantitative degree (e.g., math, physics, economics). 0-2 years of experience in a related role.

Skills

Proficiency in SQL fundamentals.

Abilities

Precise and concise communication. Ability to build effective reporting (e.g., reports, dashboards). Urgency for action -- over rigor when necessary. Ability to organize, prioritize, and adapt in a rapid-growth startup.

Bonus points for:

Programming ability (e.g., Python, R).
Experience with dbt.
Experience working in a logistics and/or ecommerce org.


Data Scientist

Data Scientist
Job description
Great Minds, a rapidly growing challenger brand in the PK-12 instructional materials space, seeks an experienced Data Scientist.COMPANY PROFILE
Great Minds, a mission driven Public Benefit Corporation, brings teachers and scholars together to craft exemplary instructional materials that inspire joy in teaching and learning. Our English curriculum, Wit & Wisdom®, Eureka Math™ and PhD Science™, all support teachers as they take students beyond rote learning to provide a deeper, more complete understanding of the humanities, mathematics, and the sciences. Founded in 2007, Great Minds now employs more than 1,000 people.
For additional information please visit: www.greatminds.orgOUR MARKET POSITION
Great Minds’ Eureka Math is the most widely used curriculum in the history of American education. It enjoys an unrivaled 40+ net promoter score. Eureka and its sister products, Wit & Wisdom English and PhD Science, embrace much higher expectations for all students and all teachers. In a market dominated by scripted, procedural materials that drive expectations down, Great Minds produces curricula that celebrate knowledge, respect the craft of teaching, and acknowledge the true capabilities of students.Job Purpose
The data scientist’s primary purpose will be to assist the organization in uncovering and understanding key metric drivers for the success of our digital products and providing the data to support these insights. The data scientist will work with Sales, Support, Content and Product teams to understand how to better improve our products for customer needs through usage analytics and insights. The data scientist will also collaborate with content and product teams to design and develop data-driven product features. The candidate will be responsible for gathering requirements from stakeholders, working with the engineering team to source the data as needed, use a variety of tools and methods and to analyze and interpret the data, and finally assist in building out and maintaining dashboards and reports. Candidate should have a passion for data and enthusiasm for learning and discovering new information.

Responsibilities
Work with multiple stakeholders to help them envision the insights and questions that can be addressed with data, through the use of prototypes, discussion, and mock-ups
Identify additional data needs that may be important to answer key questions and work with development teams to be able to track such data
Aggregate and analyze data across disparate sources using a variety of analytical and statistical tools and methods and derive intelligence that can be turned into actionable insights
Create and enhance dashboards and reports as needed to support various teams across the company
Requirements
Written and Oral communication - Ability to represent data findings in a relatable way
Experience with data visualization tools such as Tableau, Power BI, Google Analytics, Quicksight, etc..
Experience with Data Modeling
Intermediate coding skills using SQL, Python and/or R
Experience and ability to communicate clearly using presentation tools such as Microsoft Power Point to tell a story through the data
Experience with statistical modeling. Background in machine learning and predictive analytics is nice to have.
Details:
Required Education
Bachelor's degree
Status
Full-time
Location
Remote
Resume and cover letter required.
Selected candidate will be required to pass a criminal history background check.
New employees will be required to provide proof of COVID-19 vaccination, subject to potential accommodation as required by law or otherwise permitted by the Company.

Great Minds is an equal opportunity employer. We will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability, age, genetic information, or any other status protected under applicable federal, state, or local laws. Our policy reflects and affirms the organization’s commitment to the principles of fair employment and the elimination of all discriminatory practices.
Apply for this Job


Lead Data Scientist

Job Location: This role can be done from our offices in either Cary, NC or Remote (virtual / work from home)
Role Value Proposition:
In an ongoing effort to grow and enrich MetLife’s data-driven business strategy, the central Data and Analytics Center of Excellence is seeking an experienced data scientist to support its goal of providing mathematically and statistically based insight to major decision-based processes at MetLife. As a lead data scientist, your work will focus on research and development, analytics delivery, and evaluation of new technologies and methodologies.
Key Responsibilities:
Develop analytical features which will provide the greatest value to the company.
Deliver cutting-edge approaches through first-of-a-kind solutions to transform our decision processes.
Develop associate data scientist talent and advise on current project work.
Build collaboration and awareness in global analytics community.
Assist in the determination of necessary technology to transform MetLife.
Essential Business Experience and Technical Skills:
Required:
Master’s degree or PhD in Statistics, Mathematics, Operations Research, Analytics / Data Science, or similar quantitative field
3+ years of experience as a data scientist / quantitative researcher (≥2 years for doctorate level)
Programming proficiency in Python and/or R
Understanding of the mechanics and application of statistics, statistical models, and data science techniques with the ability to explain relevant conceptual points to a business audience
Basic understanding of data integration / ETL concepts.  Ability to clean and/or manipulate data using statistical software
Excellent written and verbal communication skills in English
Business Category
Advanced Analytics & Data Science
Number of Openings
1
At MetLife, we’re leading the global transformation of an industry we’ve long defined. United in purpose, diverse in perspective, we’re dedicated to making a difference in the lives of our customers.
The wage range for this position specific to Colorado is $96,900-129,200 base. You may be also eligible for the MetLife Annual Variable Incentive Plan ("AVIP").  Your eligibility for an AVIP award are governed by the terms of the applicable plan or program documents. MetLife offers a comprehensive benefits program that includes  Medical, Dental, Life, Vision plus Retirement benefits and Paid Time Off.
#LI-Remote
MetLife:
MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies, providing insurance, annuities, employee benefits and asset management to help its individual and institutional customers navigate their changing world. Founded in 1868, MetLife has operations in more than 40 countries and holds leading market positions in the United States, Japan, Latin America, Asia, Europe and the Middle East.
We are one of the largest institutional investors in the U.S. with $642.4 billion of total assets under management as of March 31, 2021. We are ranked #46 on the Fortune 500 list for 2021. In 2020, we were named to the Dow Jones Sustainability Index (DJSI) for the fifth year in a row. DJSI is a global index to track the leading sustainability-driven companies. We are proud to have been named to Fortune magazine's 2021 list of the "World's Most Admired Companies."
MetLife is committed to building a purpose-driven and inclusive culture that energizes our people. Our employees work every day to help build a more confident future for people around the world.
We want to make it simple for all interested and qualified candidates to apply for employment opportunities with MetLife.  For further information about how to request a reasonable accommodation, please click on the Disability Accommodations link below.
MetLife is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at MetLife without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.
MetLife maintains a drug-free workplace.
Requisition #: 122926


Data Science Intern

Internship Program Overview:
Would you like to play a critical role in the success of the next wave of world-changing startups? Are you excited about understanding the pace and evolution of the venture ecosystem? Would you like to contribute to a product that will redefine the risks founders can comfortably take on as they build from ideas into companies? Our mission at Vouch is to craft the best insurance for those building the future, and our Data Team is looking for a summer intern.
Our goal is to provide a meaningful and hands-on summer work experience in a high-growth start-up. This will be a full-time, paid 10-week internship program beginning Monday, June 6th, 2022

Job Type: Full-Time
Compensation: $25/hr
Application deadline: April 15th, 2022
Final Decisions: May 6th, 2022
Program date: June 6th, 2022 - August 12th, 2022

Location: Remote

About Vouch:
Insurance... sounds slow, old-fashioned, and unexciting. Exactly. Insurance is broken, and it's failing fast-moving, innovative startups.
Vouch is a new, technology-first insurance company backed with $160M in funding from world-class investors. Like Stripe for payments or Brex for credit cards, Vouch is creating the go-to business insurance for high-growth companies.
We're doing this by making insurance fast, responsive, and focused on our customers -high growth and innovative companies. Instead of printed PDF applications and week-long waits, Vouch is building new technology to solve real problems, writing policies that actually cover relevant startup scenarios, and designing simple experiences in an otherwise frustrating industry.

What does a work environment look like at Vouch?
Vouch has a 3-HQ model: Office-Based, Office-Linked, and Remote-First. This role is Remote-First, which means that team members can work from anywhere in the U.S. so long as they can work during Vouch core collaboration hours (9 am-3 pm PT Mon-Fri).

Role Responsibilities:
Data is existential to our company's success. We’re looking for an exceptional intern who lives and breathes data, who is passionate about pushing the startup ecosystem forward, and who is committed to the hard work necessary to continuously improve. As an intern in our team you will have a chance to build NLP and ML models on top of the most comprehensive startup dataset in the world.

Job Duties:
Depending on your background, and interests, you might work on any of the following:

Build and deploy NLP models to classify companies according to their business characteristics
Develop graph algorithms for link prediction, node clustering, or entity resolution
Design and implement processes to generate ground truth labeled data sets to validate our models
Research and explore innovative ML strategies to operationalize the use of proprietary data in scoring current and potential clients along different risk exposures

Additionally, we'll expect you to

Participate in brainstorming, retrospectives, sprint planning, and team building activities
Work cross functionally with team members across the Vouch organization to understand the downstream impact of our data models
Effectively talk (and listen) to engineers, designers, marketers, executives, and other stakeholders.

About you:

Surprise us! Most candidates will be pursuing a Bachelors, Masters or PhD in Computer Science, Engineering, Statistics, Mathematics, or a related technical field.
Strong knowledge of Python and SQL
Working knowledge of git and command line tools
Track-record of solving complex problems and learning fast
Experience with and solid understanding of data visualization tools and concepts
Familiarity with data science frameworks such as Scikit-Learn, NetworkX, PyMC, Keras, etc.
Previous experience working with relational or graph databases

Nice to have:

Exposure to and passion for early-stage startups and/or high growth environments
A background in insurance or other regulated categories
Experience building web applications with Python and modern frontend technologies (TypeScript, React, webpack, npm, d3)

Vouch provides a number of benefits to help you bring your best self to work:

Wellness allowance ($80)
Cell phone/Internet allowance ($50/month)
Monthly Doordash credits ($80/month)

Vouch believes in putting our people first, and building a diverse team is at the front of everything that we do. We welcome people from different backgrounds, experiences, perspectives, and ranges of abilities. We are an equal opportunity employer and celebrate the diversity of our growing team.
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to recruiting@vouch.us. (#LI-DNI)


Entry Level Phd Data Scientist

Description
 About GM
There’s never been a more exciting time to work for General Motors.
 To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
 Why Work for Us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.
 Job Description
General Motors has an exciting opportunity for recent college graduates who are technical, innovative, problem solvers to apply to our Analytics Career Evolution (ACE) development program.
Employees hired into the ACE program will have an opportunity to accelerate their professional experience and expand their network by working across several areas of GM for the first few years of their employment. The ACE development program will provide a vast number of exciting projects, visibility to senior leadership, robust training, and networking opportunities.
At the end of the development program, ACE employees will have an opportunity to work with ACE program leaders and human resources to find their next role within general motors. In anticipation of these opportunities becoming available, if you are interested in learning more about GM, completing this profile will allow us to stay connected.
If you share our passion for reimagining transportation and creating a safer, better and more sustainable future, we encourage you to apply today!
 We are looking for Data Science professionals who:
  Have a steadfast drive for excellence       Challenge themselves and their peers       Enjoy working collaboratively in cross-functional teams       Demonstrate a good work ethic       Have a strong ability and willingness to learn       Exhibit curiosity and are willing to explore new possibilities and solutions      Desire to deliver innovative solutions to complex problems       Understand advanced math and analytics concepts, and can apply them to real applications
 Role –   as a Data Scientist, you will be applying Modeling techniques to tackle complex business problems. They are responsible for building predictive models and machine-learning algorithms, analyzing large amounts of information to discover trends and patterns, and deploying analytical solutions, including visualizations and predictive models.
Additional Description
 Requirements:
  Education: Ph.D. – Mathematics, Statistics, Computer Science, Economics, Social Science or other quantitative degree preferred     Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics      Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus.      Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work
 Technical Experience:
 Language proficiency in Python, R, Spark, Scala     Experience in big data tools and databases: Hadoop, TensorFlow, Greenplum, Spark, Kafka, Advanced SQL and NoSQL including Postgres and Cassandra       Data Visualization:  PowerBI, Tableau, JMP or similar
  Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics      Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus.      Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work
This role offers the following    Work Appropriately    strategies:
  Remote:    The selected candidate can reside and perform the work from anywhere within the United States.    Hybrid:   This position does not require an employee to be onsite full-time to perform most effectively.  The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.
Relocation assistance is available to candidates who meet eligibility requirements.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Entry Level Masters Degree Data Scientist

Description
 About GM
There’s never been a more exciting time to work for General Motors.      To achieve our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion, we need people to join us who are passionate about creating safer, better and more sustainable ways for people to get around. This bold vision won’t happen overnight, but just as we transformed how the world moved in the last century, we are committed to transforming how we move today and in the future.
 Why Work for Us
Our culture is focused on building inclusive teams, where differences and unique perspectives are embraced so you can contribute to your fullest potential as you pursue your career. Our locations feature a variety of work environments, including open work spaces and virtual connection platforms to inspire productivity and flexible collaboration. And we are proud to support our employees volunteer interests, and make it a priority to join together in efforts that give back to our communities.
 Job Description
General Motors has an exciting opportunity for recent college graduates who are technical, innovative, problem solvers to apply to our Analytics Career Evolution (ACE) development program.
Employees hired into the ACE program will have an opportunity to accelerate their professional experience and expand their network by working across several areas of GM for the few years of their employment. The ACE development program will provide a vast number of exciting projects, visibility to senior leadership, robust training, and networking opportunities.
At the end of the development program, ACE employees will have an opportunity to work with ACE program leaders and human resources to find their next role within general motors. In anticipation of these opportunities becoming available, if you are interested in learning more about GM, completing this profile will allow us to stay connected.
If you share our passion for reimagining transportation and creating a safer, better and more sustainable future, we encourage you to learn more about our available positions and apply today!
 We are looking for Data Science professionals who:
  Have a steadfast drive for excellence       Challenge themselves and their peers       Enjoy working collaboratively in cross-functional teams       Demonstrate a good work ethic       Have a strong ability and willingness to learn       Exhibit curiosity and are willing to explore new possibilities and solutions      Understand advanced math and analytics concepts, and can apply them to real applications       Desire to deliver innovative solutions to complex problems
 Role –   as a Data Scientist, you will be applying Modeling techniques to tackle complex business problems. They are responsible for building predictive models and machine-learning algorithms, analyzing large amounts of information to discover trends and patterns, and deploying analytical solutions, including visualizations and predictive models.
Additional Description
 Requirements:
  Education: Master’s degree – Mathematics, Computer Science, Statistics, Economics, Social Science, or other quantitative degree preferred      Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics      Hands-on text analytics and NLP (natural language processing) experience in a corporate setting is a plus.      Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work
 Technical Experience:
  Language proficiency in Python, R, Spark, Scala      Experience in big data tools and databases: Hadoop, TensorFlow, Greenplum, Spark, Kafka, Advanced SQL and NoSQL including Postgres and Cassandra       Data Visualization:  PowerBI, Tableau, JMP or similar
This role offers the following    Work Appropriately    strategies:
  Remote:    The selected candidate can reside and perform the work from anywhere within the United States.    Hybrid:   This position does not require an employee to be onsite full-time to perform most effectively.  The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.
Relocation assistance is available to candidates who meet eligibility requirements.
PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN THE UNITED STATES NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Manager Data Science

Description
 About OnStar Insurance
OnStar Insurance was launched in 2020 and will soon be available in all US states.   We are disrupting auto insurance by integrating insurance into the vehicle experience from shopping to price to claims.  This disruption is backed by the bold GM vision of zero crashes, zero emissions and zero congestion.
GM has the largest connected vehicle fleet worldwide with over 10M connected GM vehicles on the road in the US today. That number is projected to triple in the next 10 years. More than that, we currently have access to thousands of data points from and about the vehicle. This surge in information about vehicles and how they are driven will revolutionize auto insurance.
This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience powered by the largest connected vehicle fleet in the world. If you share our vision of making auto insurance fairer and more transparent, and increasing customer value through personalized experiences, then OnStar Insurance is the place for you! At OnStar Insurance, your contributions will directly impact the customer and achieving our mission.
 Our Culture
Our goal at OnStar Insurance is to transform the auto insurance industry. Building an amazing culture for our associates is key to our success. We are focused on creating a culture that motivates and enables our diverse and talented associates to perform their best.
 Job Description
As a data analytics professional at OnStar Insurance, your role is to drive business decisions from actionable insights. To accomplish these goals, you will frame data in terms of business questions, turn data into insights, and insights into actionable deliverables.  You accomplish these goals by leveraging both strong business acumen and understanding of data. You are expected to be proficient in querying, investigating, transforming, analyzing, and visualizing a variety of types of data using a variety of analytical methods and tools.  If you're passionate about technology, love to learn, enjoy collaborating cross-functionally, and are excited to work with marketing, operations, telematics, and claims data, this is a great opportunity to grow your skills and make a difference.
Prior analytics experience with personal lines insurance marketing, product, pricing/ratemaking, underwriting, claims, digital experience, and/or operations is a big plus.  We also provide support for any candidates pursuing the Casualty Actuarial Society credential.
 This is a remote position. The selected candidate can reside and perform the work from anywhere within the United States.
 Develop and direct high-performing data scientists, data analysts, and data engineers through effective coaching and team development to achieve project deliverables; ensure excellent team culture while delivering on organization objectives    Advise business and technology teams on the data and analytics components of product roadmaps   Lead the design, development, and deployment of algorithms or other quantitative solutions   Partner with architects and engineers to deploy and monitor solutions   Apply strong understanding of data science techniques and libraries to business problems; research and champion new tools and technologies to enable our success   Communicate model and algorithm results to business   Monitor and sustain model effectiveness
 Job Qualifications
 Master’s degree or equivalent experience in data science, engineering, mathematics, statistics/applied statistics, economics, computer science or related quantitative field   5+ years demonstrated experience designing, developing and implementing predictive and prescriptive solutions   2+ years leading data science teams and projects   Proficient with multiple statistical modeling, machine learning, deep learning, or data mining techniques   Experience with big data technologies   Experience with vehicle or mobile telematics data is preferred   Familiarity with personal lines insurance operations is preferred   Proficient with R or Python   Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels   High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department   Strong decision-making skills   Works effectively in a distributed team environment

Additional Description
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


People Services Data Scientist

Description
 This is a remote position, the selected candidate can reside and perform the work from anywhere within the United States.
Are you curious, innovative and love data? Do you enjoy analyzing complex problems and ideating innovative solutions?
Global Business Solutions (GBS) People Services organization (HR Operations) is looking to identify and unlock opportunities hidden in our people data to increase operational efficiency and deliver world class employee experiences. This person will analyze, grow, and create new data sources to identify trends and insights which are currently hidden. The person in this role will directly work with service line leaders (payroll & timekeeping, benefits, talent & learning, employee contact center) and strategic analytics team, to identify areas of exploration, analysis, and continuous improvement. By utilizing the power of data analytics and AI we aspire to set the standard for our employees and stakeholders.
This opportunity will provide exposure to interact with multiple levels of leadership across various business units while empowering you to leverage your expertise, knowledge of data analysis, data visualization and storytelling to provide data that supports decisions related to global workforce issues.
  Apply your expertise in research, analysis, data science, and data visualization to identify insights and understand opportunities for improvement across all service lines     Communicate analyses, machine learning approaches & results, and implications of efforts to non-technical audiences     Experience conducting analytics or data science projects; project management; presenting analytics-based solutions and products     Strong analytical, problem-solving, communication, and consulting skills     Expertise using, Workday HCM, Power BI, Enterprise Data Warehouse (EDW), KNIME, Python and SQL to perform analysis and interpret data     Use judgment to independently develop stakeholder focused solutions while seeking guidance as needed     Experience working in start-up environment and ability to change direction as needed
 Role Requirements
  Bachelor’s Degree in Data Science, Computer Science, Statistics, Analytics or related field     4+ years of professional work in descriptive, predictive, and prescriptive analytics     4+ years proficiency in one or more core analytical tools/suites/languages such as Python, R, Spark, SAS, Scala and understand their limitations     Proficient in analytical methodologies such as numerical optimization, modeling and forecasting, machine learning, text analytics, computer vision/pattern recognition     4+ years of experience collaborating with teams to develop data and analytics solutions
 Preferred Requirements
  Master’s degree     7+ years professional experience in data science related role

Additional Description
 Compensation:   The median level of salary compensation for this role is $98,856.
 Bonus Potential:   An incentive pay program offers payouts based on company performance, job level, and individual performance.
 Benefits:   GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
 #LI-Remote

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.