Product Data Scientist Bitcoin Wallet

Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
We're building a bitcoin wallet for the next 100M bitcoin users - importantly for people around the world who likely haven't yet used bitcoin as a savings tool or for its payments capabilities yet. Our goal is economic empowerment -- starting with bringing easy-to-use, reliable wallet that helps people around the world own and manage their bitcoin, rather than having to rely on several tools and services that don't work well together and are challenging to use for a wide global audience.
Our goal is to make the future of money intuitive, and safe while helping customers build a better financial future. We're assembling a team experienced in an extremely wide range of disciplines, including business, operations, design, software, hardware, security, and so many other aspects of product delivery.
We are hiring our first Product Data Scientist to help our product, marketing, engineering and customer support teams make data-driven decisions about what and how we build for our customers when helping them manage their money. This is a unique opportunity to not only be embedded with an early stage team where you'll have close proximity to strategy and building so you can produce action-oriented analyses, but you'll also influence our data infrastructure and tooling decisions.
Because you will work with bitcoin data across different sources (internal systems, blockchain, lightning network, etc.), an understanding of how these technologies function or demonstrated experience or interest working with this data is a big plus.
You will report to our Head of Business within Bitcoin Wallet. You can be based anywhere remotely in the United States, as well as in several countries around the world including the UK, Ireland, the Netherlands, Germany, among other countries.
Come build the future of money with us! Learn more through our newsletter here.
You Will:
Empower our team to use data to make business decisions as we build a global product from its earliest days- an opportunity to build data analysis into the infrastructure of a team from day 1Develop both backwards-looking analysis on product performance, marketing effectiveness, monetization and pricing and other main product and business decisions, as well as forward-looking predictive models to help us better understand customers and their needs (e.g. cluster analysis that help us map customer segments back to product usage, retention models)Empower the teams with data and help them to make decisions on improving product features and building a meaningful roadmap (e.g. funnel metrics, analysis of churn and CS data, etc), as well as influencing important decisions like pricing based on acquisition and retention insightsAs a member of the Business team, you'll have the product and business context to be able to proactively spot trends and connect sometimes seemingly disconnected data sets to help the team develop and prove out hypotheses across the end to end lifecycle, forming cohort analysis on things like acquisition channels, etc.Navigate external data sets such as publicly available blockchain data insights (eg bitcoin blockchain analysis) to help us understand things like our total addressable market (TAM) as well as SAM and SOMDesign and help run statistically-significant experiments across different cohorts of customers and ensure hygienic approach to things like causation vs correlationCreate models that help us to analyze risk and security threats as well as optimize key decisions on our approach to money movement (i.e. transaction modeling)Support and guide in our early data infrastructure decisions with product and engineering - as we are a zero to one team, you will get to shape the data infrastructure decisions we make so we have scalable ways of working where data is easily accessible to the right people on our team, all while ensuring that data is secure and aligned with our privacy principles and commitment to customers and partners.
Qualifications
You Have:
Background in working in product-driven organizations and building and sharing data-driven insights to help make decisions with 8+ years of experienceExperience with cohort and funnel analyses, an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience telling stories and making relevant recommendations with dataYou've set up and run A/B tests and other types of experimentation designs and can help ensure statistical significance in the right testing environmentWith technical skills, you can automate complex processes and construct data pipelinesExperience with data visualization tools (e.g. Looker, PowerBI, Tableau etc.)Work in collaborative team environments including Product, Marketing, Engineering, Design and ResearchThrives in earlier stage environments - you're a self-starter who gets excited about complex, sometimes vague, or longer-term problems and can be creative on how to solve those problems with data and insightsFamiliarity or interest in learning blockchain analytics as we are building in the bitcoin space and external data sets will help you uncover richer trends and recommendations; ability to connect internal and external data sourcesTechnical skills: Python or R, Advanced SQL
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $184,100 - USD $225,000Zone B: USD $174,900 - USD $213,700Zone C: USD $165,700 - USD $202,500Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Ecosystem Analytics

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
The Decision Science organization at Square helps our sellers and our business grow by empowering decision making with data. The team provides Square with a variety of critical information such as marketing attribution, investment ROI, seller value, product behavior, and funnel performance. The team achieves this by building remarkable data infrastructure, analytics, data science, and machine learning solutions. The Ecosystem Analytics team within Decision Science plays an essential role in optimizing growth across the Square ecosystem, by conducting experiments on digital surfaces, distilling data into insights, and influencing decisions with actionable recommendations.
Data Scientist in the role will be working with the teams responsible for sellers' onboarding into Square ecosystem of products. You will use analytics, experimentation, and personalized ML to drive conversion and product adoption.
We want employees to be able to reside where they feel most creative and productive. You will be part of an org that works across pacific, central, and eastern time zone(s).  In this role, you and your direct team will be primarily organized and operating within the pacific standard time zone. This role is open to all people who can be effective partners with this team, including sharing typical working hours.
You will:
Work with product and marketing partners to improve our onboarding process thru data-driven techniques such as experimentation, analytics, and ML. Monitor and improve conversion, drive product adoption and cross-sell in the onboarding flow. Work with the product team to design and read digital experiments. Produce a suite of analytics and BI solutions that allow a wide variety of stakeholders to understand key metricsWork alongside our business, finance, and Machine Learning modeling functions to develop measurement solutions for the future
Qualifications
You have:
5+ years of experience in quantitative analytics, data science, and analytical consultingNimble with SQL, Looker, Python, and other quantitative analytics languages and toolsExperience with designing, running and communicating results of digital experiments. Familiarity with the domains of marketing attribution, lifetime value modeling, and ROI measurementsStrong written and verbal communication skills with the ability to explain technical data to a variety of executives and stakeholders across the companyFluency of data analytics with the ability to independently contribute to technical output Ability to quickly and deeply understand our product ecosystem, business, marketing strategy, metrics, and modelsFamiliarity with data warehouse design, development and best practices
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $152,100 - USD $185,900Zone B: USD $144,500 - USD $176,700Zone C: USD $136,900 - USD $167,300Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Risk

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes to root out high-risk activity across the Square platform of products. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements through machine learning solutions or analysis.
The Risk Data Scientist will use analytical skills to identify and prevent fraud risks. You will lead experimentations to promote Risk effectiveness throughout Square. You will partner with product, engineering, operations, policies and sales to influence Squares global Risk road map and processes. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
You Will
Diagnose problems and develop compelling, data-driven recommendationsDevelop and maintain multiple data pipelines and ETLsPartner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processesHave a chance to use machine learning tools to develop data-driven solutions.Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experienceDevelop executive presentations for Squares leadership
Qualifications
BS/BA in Statistics, Mathematics, Operations Research, Management Science, Computer Science, or a related technical field, OR BS/BA in Criminal Justice, Economics, Business, or a related business field2+ years of relevant experience (or masters degree)Experience with SQL, Python and LookerExperience driving data-driven solutions and project-managing their implementationExperience answering unstructured questions and managing projects and tasks to a conclusionA passion for Square's missionExperience in risk, trust and safety, payments, or spam prevention
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science Manager Square Point Of Sale

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
We are looking for a Data Science Manager to join our team and help continue to build and grow our core POS processing team. You will report to the Head of Data Science & Analytics and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process that optimizes both leadership and technical skills.
You will:
Lead a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partnersProvide mentorship to team members through feedback, coaching, and hands-on technical guidance as needed, focusing on their long-term growthPartner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Qualifications
You have:
2+ years of experience in people management with a track record of building high-performance teams and growing talent6+ years of data science and analytics experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growthExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Nice to have:
M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on growth and retention
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $202,500 - USD $247,500Zone B: USD $192,400 - USD $235,200Zone C: USD $182,300 - USD $222,800Zone D: USD $172,200 - USD $210,400
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science Manager

Company Description
Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
Job Description
We are looking for a Data Science Manager to join our team and help continue to build and grow the Square eCommerce team). You will report to the Head of Data Science & Analytics and partner with product, marketing, design, and engineering leads on product and business strategies. You and your team will leverage engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bring our products to market. Although this is a leadership role, we want someone who brings hands-on technical experience - you should expect an interview process that optimizes both leadership and technical skills.
You will:
Lead a team of Data Scientists and help them set goals, collaborate, and scale with their cross-functional partnersProvide mentorship to team members through feedback, coaching, and hands-on technical guidance as needed, focusing on their long-term growthPartner with senior cross-functional leaders including Product, Product Marketing, Engineering, and Design to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Qualifications
You have:
2+ years of experience in people management with a track record of building high-performance teams and growing talent6+ years of data science and analytics experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python) that will allow you to support and mentor the team and their technical growthExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypes
Nice to have:
M.S. or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on business and product initiatives focused on GTM, growth, and retentionDirect experience with eCommerce business and/or SaaS
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $245,100 - USD $299,500Zone B: USD $245,100 - USD $299,500Zone C: USD $245,100 - USD $299,500Zone D: USD $245,100 - USD $299,500
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Lead Data Scientist Predictive Analytics

Data is our most valuable asset at Spring Health. One area we’re excited to continue to invest in is leveraging our data to understand not just what has happened, but what will happen. In this role you will dive in deep with stakeholders to understand business context, become an expert in our data, and use your modeling expertise to merge those together into predictive analyses that help our teams prepare for what’s coming. You will be asked to build and own those models, and also have room to contribute to our broader thinking about how and where we build these models, and how we operationalize them.
What you’ll be doing: (Key Responsibilities)

 Build a strong partnership with our finance team, establishing a deep understanding for how our business operates and the key metrics we use to measure its health

 Dive in deep with our data and become an expert in what data we already have, and what data we might need to solve different problems

 Develop predictive models for both business and clinical applications, helping the teams understand how decisions we make now may impact the future

 Lead the dissemination of those models’ output to a range of stakeholders, both technical and non-technical, ensuring teams understand how to use the predictions to effectively make decisions for our business

 Contribute to the technical tooling we develop to support predictive modeling more broadly

Shape the team’s set of best practices and guidelines for defining, building, testing, and deploying models

What we expect from you: (Qualification ex. education, experience, etc.)

 You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you

 You have 5+ years of working experience working with data and predictive modeling

 You are an expert with time series modeling, and have built and tested models using common techniques (MA, AR, ARIMA, etc) using either R or Python

 You have strong SQL skills and are comfortable digging into a data model to get the data you need

You have exceptional communication skills, and are comfortable working independently with executive level team members

 You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders

 You are humble, highly motivated, and thrive in fast-paced environments

 You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact

 You have a passion for successfully navigating ambiguous problem areas and learning new approaches

The target salary range for this position is $179,100-$218,550, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:

Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.

Creating a culture you can thrive in:

Flexible work arrangements:

60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.

Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more


Senior Data Scientist Customer Analytics

We are looking for a Senior Data Scientist to join our Customer Analytics team. This is a new team building data products that enable our customers to understand the impact Spring Health is creating for their organization. In this role you will work closely with our customers and our internal teams to discover and scale the data narratives that highlight how we are eliminating barriers to mental health.
What you’ll be doing:

Be part of a team of innovative data scientists building the analytics story that demonstrates Spring Health's value to customers
Rapidly iterate with customers and our internal Sales and Customer Success teams to materialize that story in a scalable data product
Analyze data across all aspects of the member mental health journey to show our customers the value of their investment and provide them with actionable insights on how to further improve member wellbeing

What we expect from you:

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have a degree in a STEM-related field and at least 5 years of commercial experience in a data science role
You have exceptional communication skills, and have operated in a role that required frequent interaction with customers
You are proficient in SQL and Python
You have deep expertise building data transformation pipelines with DBT
You have experience building dashboards in Looker and training non-technical stakeholders on how to use them
Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
Passion for successfully navigating ambiguous problem areas and learning new approaches
You are energized by mentoring others and enjoy defining processes that help to scale your team
Bonus points for previous experience in benefits consulting, people analytics, or marketing

The target salary range for this position is $159,100 - $194,150 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:

Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.

Creating a culture you can thrive in:

Flexible work arrangements:

60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.

Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more


Senior Data Scientist Product Analytics

We are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health’s software applications. You will be embedded in a product development team focusing on end user (Spring Health members’ or caregivers’) experiences and cover the entire feature launch cycle - from uncovering experience improvement opportunities to synthesizing actionable learnings and possible next steps post-launch. This role is highly collaborative: you will work closely with your product management, design, engineering, and user research counterparts and help the team connect the dots between product initiatives and business outcomes.
What you’ll be doing:

You will collaborate with product development leads on defining key indicators of the quality of our member and caregiver experience and uncovering opportunities to improve these metrics
You will ideate and design A/B tests to evaluate new product features
You will define product telemetry that enables seamless reporting and analysis
You will build necessary data models and insightful, automated dashboards necessary to track key product metrics
You will actively participate in prioritization and roadmapping discussions
You will lean into appropriate advanced methods, from advanced experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around user interaction patterns
You will participate in the development of data-centric product features

What we expect from you:

Passion for changing the face of mental health care and excitement about Spring Health’s mission to remove all barriers to mental health
5 years of professional experience in a data role (data analyst, product analyst, data scientist, or similar), and at least 2 years of experience working with and defining product or growth metrics
Previous exposure to experimentation or hypothesis testing
Previous exposure to product development/design or a strong desire to learn all about it
Proficiency with SQL and a statistical analysis language (R/Python)
Experience working with BI tools (e.g. Looker, Tableau, Metabase) and product analytics SaaS tools (e.g. Mixpanel, Amplitude, Heap, etc.)
Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users
Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
Passion for successfully navigating ambiguous problem areas and learning new approaches
Proximity to NYC or willingness to travel once a quarter to NYC

The target salary range for this position is $159,100- $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:

Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.

Creating a culture you can thrive in:

Flexible work arrangements:

60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.

Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more

#LI-Remote


Senior Manager Data Science And Machine Learning

We are looking for an exceptional hands-on data science leader to drive the analytics vision and roadmap for our Caregiver Experience team. This cross functional product team is focussed on building out tools and workflows to support the entire Spring Health Care team in the delivery and coordination of world class virtual and in-person mental health care. This is an exciting opportunity to design and implement innovative data products that will ensure a high quality caregiver and member experience as well as contribute to and move the science and practice of mental health forward.
What you'll be doing:

Conceptualize, design and execute an ambitious data science roadmap for our caregiver experience team in partnership with product, engineering and care team leads.
You will lead, mentor and manage a team of data scientists in building out product analytics across our caregiver experience team, helping shape goals, metrics, experimentation and dashboards
Coach and mentor data scientists on the team to ensure their continued growth
Define the key success metrics that provider insight into the health of our caregiver experience and quality and uncover opportunities to improve these metrics
Lead the team in designing A/B tests and defining product telemetry to inform development and prioritization of new product feature releases.
Steer the team to create predictive and ML models to enhance our caregiver experience and network quality, including a personalized patient provider matching system and models that can measure and incentivize provider quality and outcomes
Perform analytical deep-dives to proactively identify product opportunities and inform experimentations and product roadmaps.

What we expect from you:

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
7+ years of professional experience in a data science role, and at least 3+ years in a leadership or management capacity.
You have experience in a broad spectrum of data science techniques (machine learning, causal inference, A/B test experimentation frameworks, NLP etc) and are excited to apply them to solve complex clinical or business problems
Experience using, building and enabling analytics infrastructure (ie data, analytics and ML pipelines)
Strong presentation and stakeholder management skills — fluently tell a compelling clinical or business story with dataProficiency with SQL and a statistical analysis language (R/Python)
Ability to work in a fast-paced, mission-driven environment
Proximity to NYC or willingness to travel once a quarter to NYC

The target salary range for this position is $179,100 - $218,550, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Benefits provided by Spring Health
Focus on total health including:

Generous medical, dental, vision coverage available day 1 + access to One Medical.
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents.
Unlimited paid time off, 12 paid holidays throughout the year, and 10 sick days
4-4.5 months of fully paid parental leave.
$500 per year Wellness Reimbursement.
Supporting you financially through:
Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.
On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting after one year with the company.
Employer sponsored 401(k) match of up to 2% after 90 days of employment.

Creating a culture you can thrive in:

Flexible work arrangements:

60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices.

Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes.
Our team members have created five employee resource groups thus far and looking to add on more

#LI-Remote


Senior Data Scientist Machine Learning Social

Overview
Bungie is seeking a Senior Data Scientist to join our newly formed Machine Learning team.  Reporting to the Director of Machine Learning, you will scope, prototype, and deploy machine learning models that will support social initiatives across our organization.  In this role, you will directly support Bungie social teams by building knowledge graphs in order to extract insights that drive the future of co-experience in our games.
As part of the Bungie Analytics & Insights team, you will join a diverse team of analysts, data scientists, data engineers, and researchers.  You will leverage your expertise in data analysis, data science, and engineering to build machine learning services for our games and create internal tools that empower Bungie teams to continue doing what they do best. Most importantly, your work will be essential to creating unmatched entertainment experiences designed to inspire friendships and lifelong memories.
RESPONSIBILITIES
Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
Develop, deploy, and maintain machine learning services end-to-end in a cloud environment
Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Experience working within cloud-based infrastructure to build, deploy, and manage models at scale in a live service environment
Advanced proficiency in Python and SQL
Advanced knowledge of machine learning frameworks such as scikit-learn, PyTorch, and Tensorflow
Experience creating and using advanced machine learning algorithms and statistical models: regression, simulation, scenario analysis, clustering, decision trees, neural networks, etc.
Effective at data visualization and storytelling geared towards both technical and non-technical audiences
Familiarity with graph data science algorithms and graph databases (Neo4j, AWS Neptune)
NICE-TO-HAVE SKILLS
Advanced degree in Computer Science, Statistics, Machine Learning, or a related field
Experience working within a variety of different technical environments
Experience with Tableau or similar data visualization tool
A love of games
Listed below is this role's base pay range within the greater Seattle area, In other locations that Bungie has approved for remote work, this pay range may be adjusted up to +/- 10% and some roles may be classified as non-exempt (hourly).
This range is determined by an array of factors, including training, transferable skills, work experience, business needs, and market demands. Additionally, it is subject to change and may be modified in the future.
Bungie employees also receive:
Annual Paid Time Off (PTO) and/or Sabbatical (SAB) based on position level

L13-L15: 20 PTO days
L16-L17: 15 PTO days / 5 SAB days
L18+: 10 PTO days / 10 SAB days

10 paid Floating Days annually, prorated in the first year of employment based on start date
10 paid Bungie-observed holidays each year
One hour of Paid Sick Time (PST) for every 30 hours worked
In the journey to make incredible worlds, Bungie employees don't simply do meaningful work - they receive meaningful support. Competitive salaries and discretionary bonus opportunities are just the start. We offer comprehensive healthcare coverage, generous 401(k) matching, flexible time off policies, paid parental leave, social clubs, and so much more. Check out our benefits page:Benefits - Bungie Careers to see all the perks that come with joining Bungie.
Washington State Pay Range
$160,000—$189,000 USD
So you don't meet every requirement listed in this job description? Do you think your experience level is not where it needs to be? Studies show that women and people of color are less likely to apply to jobs unless they believe they meet every single qualification. Bungie is focused on building a diverse, inclusive, and equitable workplace. If you're interested in this position but your past experience doesn't line up perfectly with every qualification in the job description, we want you to apply anyway. The right role for you may be right around the corner!
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.


Analyst Baseball Research Development R D

Summary:
The Washington Nationals are seeking an Analyst to join our Baseball Research & Development team. The analyst will use data science to derive insights from baseball datasets to support player evaluation, player development, and in-game strategy. The analyst will report to the Director of Baseball Research and largely work on long-term research projects. Collaboration is a critical part of working on the R&D team, including informal interactions, as well as weekly analyst meetings and regular code reviews. Analysts must also be able to communicate clearly with members of departments across baseball operations, including technical and non-technical audiences. Our department is flexible enough to accommodate candidates with specialized strengths or areas of interest, but we are seeking applicants with general ‘baseball feel’ and data science experience.
Essential Duties and Responsibilities:
Research specific areas of the game using statistical modeling
Build and maintain these models and take ownership of their results
Communicate findings through written reports, presentations, and informal conversations
Develop deep understanding of existing body of R&D team’s research, code base, and database. Take on some responsibility for improving and maintaining existing projects
Design and build informative data visualizations for use in automated reports or internal web applications
Perform ad hoc analyses on questions that come to Baseball R&D from across the organization
Requirements:
Minimum Education and Experience
Experience analyzing datasets and training statistical models using R, Python, or equivalent
Has an undergraduate or graduate degree from a four-year college or university, preferably in Data Science, Statistics, Mathematics, Computer Science, or related field
Authorized to work in the United States
Knowledge, Skills, and Abilities Necessary to Perform Essential Functions
Ability to complete long-term statistical modeling projects and incorporate technical feedback
Proficiency in technical report composition
Clear writing and communication
Enthusiasm for learning new skills related to programming, statistical modeling, and data visualization
Passion for baseball and desire to work in baseball operations
Working knowledge of sabermetric concepts
Physical/Environmental
Attend approximately half of the Nationals home games (meals provided)
Ability to work occasional weekends and/or evenings during the baseball season
All applicants for employment at the Washington Nationals are required to be fully vaccinated against COVID-19 prior to commencing employment. Applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment. Applicants with qualifying disabilities or bona fide religious objections may be exempted from this requirement or otherwise accommodated if they are unable to be vaccinated.


Associate Data Scientist Product Security New Grad Early In Career

Bungie is seeking an Associate Data Scientist to join our newly formed Machine Learning team.  In this role, you will embed within and directly support Bungie’s Product Security group, working closely with analysts and engineers to reduce the impact of bad actors in Bungie games.
At Bungie, we build worlds that inspire friendships, and the Product Security team exists to keep those worlds and our players safe.  Protecting players in a rapidly changing threat landscape requires machine learning automation, data driven discovery, and careful analysis of a dynamic online global ecosystem.  To this end, you will leverage your experience in data analysis, data science, and engineering to build security services that protect Bungie players and track emerging threats.  Most importantly, your work will be essential to developing unmatched entertainment experiences that inspire friendships and lifelong memories.
ELIGIBILITY REQUIREMENTS
A recent graduate from a U.S. college, university, or related program within 12 months from October 2022
Planning to graduate in Fall 2022 through Spring 2023OR
Moving from primarily learning to primarily working within 12 months
Transitioning from one craft, function, or discipline to a new one within 12 months
RESPONSIBILITIES
Work in a small team (3-5 people) to maintain aspects of game security in a live environment
Deploy machine learning services end-to-end in a cloud environment
Respond to a dynamic security landscape by rapidly building deep learning models
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Proficiency in Python and SQL
Knowledge of machine learning frameworks such as scikit-learn, PyTorch, and Tensorflow
Effective at data visualization and storytelling geared towards both technical and non-technical audiences
NICE-TO-HAVE SKILLS
A degree (or equivalent experience) in Computer Science, Statistics, Machine Learning, or a related field
Experience working within cloud-based infrastructure
Experience with computer vision, time-series modeling, or anomaly detection
Experience with unsupervised learning, self-supervised learning, or training large language models
A love of playing video games
Listed below is this role's base pay range within the greater Seattle area, In other locations that Bungie has approved for remote work, this pay range may be adjusted up to +/- 10% and some roles may be classified as non-exempt (hourly).
This range is determined by an array of factors, including training, transferable skills, work experience, business needs, and market demands. Additionally, it is subject to change and may be modified in the future.
Bungie employees also receive:
Annual Paid Time Off (PTO) and/or Sabbatical (SAB) based on position level

L13-L15: 20 PTO days
L16-L17: 15 PTO days / 5 SAB days
L18+: 10 PTO days / 10 SAB days

10 paid Floating Days annually, prorated in the first year of employment based on start date
10 paid Bungie-observed holidays each year
One hour of Paid Sick Time (PST) for every 30 hours worked
In the journey to make incredible worlds, Bungie employees don't simply do meaningful work - they receive meaningful support. Competitive salaries and discretionary bonus opportunities are just the start. We offer comprehensive healthcare coverage, generous 401(k) matching, flexible time off policies, paid parental leave, social clubs, and so much more. Check out our benefits page:Benefits - Bungie Careers to see all the perks that come with joining Bungie.
Washington State Pay Range
$102,000—$128,000 USD
So you don't meet every requirement listed in this job description? Do you think your experience level is not where it needs to be? Studies show that women and people of color are less likely to apply to jobs unless they believe they meet every single qualification. Bungie is focused on building a diverse, inclusive, and equitable workplace. If you're interested in this position but your past experience doesn't line up perfectly with every qualification in the job description, we want you to apply anyway. The right role for you may be right around the corner!
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.


Principal Machine Learning Scientist Search Recommendations

System1 is looking for an experienced machine learning researcher and practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the Search & Recommendations team.  This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have

Provide both hands-on/individual contributor support and technical thought leadership in the development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
Maintain expert knowledge in the latest in machine learning with an emphasis on emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
Coach and mentor data scientists to elevate the talent bar across System1

What You Will Bring

Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
5+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members

What We Have to Offer

Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote


Senior Machine Learning Scientist Search Recommendations

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the Search & Recommendations team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have

Hands-on development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
Research the latest in machine learning for emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Contribute to the development of System1’s roadmap for core machine learning capabilities

What You Will Bring

Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
2+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members

What We Have to Offer

Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote


Senior Machine Learning Scientist Ai Automation Optimization

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the AI Automation & Optimization team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience designing and building algorithms to automate and optimize planning and decisioning for complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have

Hands-on development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities
Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
Build expert knowledge in computer science, machine learning, data mining, reinforcement learning, large-scale robust optimization techniques and more
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Contribute to the development of System1’s roadmap for core machine learning capabilities

What You Will Bring

Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
2+ years of experience researching & developing algorithms for intelligent automation and optimization systems
Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members

What We Have to Offer

Competitive salary + bonus + equity
Generous PTO + 11 company holidays
Open sick time
100% covered Medical, Dental, Vision for employees
401k with match
Health & Dependent Care Flex Spending Account
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote


Data Scientist

Super Dispatch is looking for an experienced Data Scientist to support the Product, Engineering, and Marketplace Operations teams by building reliable prediction solutions that can help Super Dispatch customers move cars faster. You will analyze and understand customer data, collaborate with other teams and departments, and improve existing recommendation and prediction engines. This is an exciting opportunity for an experienced data scientist to work on innovative solutions for our SaaS enabled marketplace.
What We Do:
Super Dispatch is one of the fastest growing tech startups in Kansas City, and we're transforming the world of vehicle shipping. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future.
Who We Are:
Our diverse team is comprised of highly motivated professionals with a passion for solving big problems with technology. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe and practice taking bold risks. We embrace failure as a lesson. We put our team first. We are committed to supporting each other and helping each other grow on this journey.
Responsibilities:
Build and evolve transformative, real-time marketplace pricing engines based on machine learning and reflective of dynamic market conditions
Improve existing recommendation or prediction engines by collaborating with key stakeholders (internal and external)
Develop a deep understanding of the overall business of Super Dispatch and the Auto Transport industry
Improve machine learning models to deliver reliable and scalable solutions
Collaborate with other departments and teams to improve data collection, process and error handling, and data normalization
Provide thought leadership on data science to Product and Engineering Teams with best practices
Collaborate with Marketplace Operations and Data Teams to identify and resolve issues using data science and machine learning methodologies
Candidate Profile:
Curious  - you ask questions and are eager to learn.
Analytical mindset -  you are able to structure and process data and draw insightful conclusions from it.
Systematic thinker - you can balance big picture strategy with details, you have strong execution and delivery.
Problem solver - you have solved complex problems and have the aptitude to navigate uncharted waters.
Team player - you have a collaborative mindset, the ability to work with cross-functional teams, and build positive relationships with individuals across the organization.
Growth driven - you are willing to learn new tools and technologies to work effectively in a rapid growth environment with changing needs and requirements.
Self motivated - you work independently and take initiative.
Candidate Experience:
2+ years experience in a data scientist role, preferably working on a recommender system
2+ years of professional experience synthesizing insights from data using Python and SQL
2+ years experience with Machine Learning Frameworks (Tensorflow and/or PyTorch) and their real world applications
Experience working with AWS or GCP preferred
Summary of Benefits:
Stock options
Unlimited Vacation (PTO)
401k with company match
Health, dental, vision, and life insurance
12 weeks of paid parental leave
Fully remote/work from home role
Growth opportunities
Gym membership/wellness stipend
Equipment provided
The salary range for this position is $100k - $120k annually.


Senior Data Scientist Advertiser Optimization Analytics

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Advertiser Optimization product team on launching new products to improve ad performance and advertiser ROI . You will partner closely with cross functional team members such as Product Managers, Engineers, Designers, etc. in utilizing data to drive product strategy and unlock novel ways to drive ad performance.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
If helping Reddit’s advertising business reach the next level excites you, then you’ve found the right place.  We’re a company with one of the highest employee : user ratios in the industry, giving you a tremendous opportunity for both scope & impact.
How You’ll Have Impact:

Partner with the product engineering team working on Advertiser Optimization. Providing thought partnership on products like Auto-Bidding, Budget Pacing, and Ad Level Optimization.
Collaborate with product teams on all aspects of development - everything from product ideation to experiment analysis to KPI reporting
Drive product-oriented research projects to identify new opportunities for the Advertiser Optimization team to pursue
Organize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.
Be an integral part of the Data Org (consisting of Data Science, Data Engineering, Experimentation, and Core ML), leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

What You’ll Do:

Act as an owner by partnering with the Advertiser Optimization team on product development
Become an expert on advertiser optimization at Reddit - designing & analyzing experiments to test improvements to optimization algorithm
Build KPI reporting & ETLs to track the performance of Reddit’s Advertiser Optimization team
Learn about Reddit’s ad optimization & ranking algorithms and research how they could be improved
Collaborate with Product Marketing Managers to develop go to market strategies and drive product adoption
Partner with the Ads Engineering team to understand new data & schemas and ensure the data we log in new ads products is accurate

Who You Might Be:

4+ years of experience in data analytics or related quantitative role
Influence and guide product strategy with data
Able to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)
Experience in online advertising & ads marketplaces

Our Commitment to DEI At Reddit, we evaluate all candidates on the basis of their ability to meet stated job requirements. We do not discriminate against candidates on the basis of sex, gender, marital status, religion, nationality, or other personal characteristics. In keeping with our commitment to supporting a safe and inclusive workplace, we strongly encourage candidates from traditionally underrepresented backgrounds to apply.


Senior Data Scientist Ads Optimization Ml

We are looking for a Senior level Machine Learning Data Scientist to build new ML products to improve ad performance and advertiser ROI. You will work closely with engineers and product managers from the Advertiser Optimization team to up-level the current Budget Pacing system, build ML-based auto-bidding products, as well as develop reinforcement learning models for dynamic creative optimization (Ad Level Optimization). This person is an industry technical leader in the online ads marketplace optimization domain with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

You will dive deep into the Budget Pacing system and help the team identify efficiency gaps and areas for improvement. You will research and develop ML-based PID controllers and auto-bidding products to improve advertisers’ performance.
Research, design, and develop contextual bandit models or similar reinforcement learning techniques for dynamic creative optimization (DCO) that can improve ad performance and bring more value to advertisers, especially for Shopping Ads.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models.
Serve as a thought-partner for product managers, engineers, leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

What We Can Expect From You:

Relevant experiences in ads marketplace.
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience).
Proficiency in at least one of the areas: operations research, operations management, control theory, reinforcement learning, statistical modeling, and optimization.
Deep understanding of online experimentation and causal inference.
Strong analytical and communication skills.
Strong skills in programming (Python or R) and SQL.


Data Scientist

As a Data Scientist on our BI & Analytics team, you will leverage your experience and creativity to design and implement solutions that provide insight into customer and operations analytics and drive actionable results for the Customer Success organization. You will design and implement enhancements to our existing BI capabilities to identify customer behavioral trends, isolate retention risks, and correlate retention playbooks with churn reduction. As the senior technical member of the team, you will take a lead role in recommending technologies and processes to mature our operations.

Job Functions
Exercise thought leadership and discretion in identifying business needs that can be improved with analytics and designing solutions with the data and tools available

Execute the complete analytics lifecycle for problem solving, including:
· requirements gathering
· problem formulation
· data grooming
· data exploration
· model prototyping
· model validation
· algorithm productionalization

Survey varied data sources for analytic relevance, including:
· distributed file systems
· relational databases
· flat files
· external sources

Interpret, synthesize, and communicate results of analyses to effect action and changes within the organization

Collaborate across teams to integrate analytic products with existing production architectures, develop execute and evaluate courses of action, and socialize results

Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds

Drive efficient and effective solution design in tailoring the tools, approaches, and data used to meet the needs of the particular problem

Perform other duties as required

Essential Qualifications
· Ability to read, write, speak, and understand English
· Strong communication and presentation skills
· Expert-level skills and experience with Scala, Python, R, Matlab, or other analytics languages
· Experience with relational databases
· Expert-level quantitative analysis skills including interpretation of model results, consideration of causality, treatment of multicollinearity
        o Broad experience and solid theoretical foundation on the modeling process using a variety of algorithmic techniques, including Machine Learning, and Graph/Network Analytics
· Data pre-processing, exploratory data analysis using a variety of techniques
· Basic understanding of data architecture, data warehouse and data marts
· Demonstrated ability and desire to continually expand skill set, and learn from and teach others

Desired Qualifications
· Experience with BigData tools, particularly HIVE, Spark, Spark Streaming, and GraphX
· Experience with Linux based operating systems
· Experience with advanced analytics libraries in Python such as numpy, sci-kit learn, and pandas
· Knowledge of other relevant techniques such as text analysis and text mining
· Operations-research background, focused on large labor operations such as field ops, technical support, and sales
Benefits:
LogRhythm offers the following benefits for this position, subject to applicable eligibility requirements:

·    Medical

·    Dental

·   401k plan

·  Flexible time off

·    Vision

·    HSA
·    FSA

·   EAP

·  Birthday Day off

Salary:
The annual starting salary for this position is between $140K- $150K depending on experience and other qualifications of the successful candidate.
Bring your Whole Self to Work!
Diversity, equity, and inclusion are at the core of who we are. At LogRhythm, we know that diverse perspectives spark innovation, improve creativity, and position our team for success. Creating a culture where all are welcomed, valued, and empowered to achieve their full potential is important to who we are today and in the future. We hire the best of the best and do not discriminate based on race, gender, age, religion, sexual orientation, identity, or other personal factors.