Senior Data Scientist

We’re looking for a senior data scientist to join our quickly growing team and make a big impact.
As a senior data scientist in the Tech org, you’ll work closely with data scientists, software engineers, product managers, and designers, to develop Machine Learning technologies which help simplify the jobs of our users. You’ll work on major technical projects with large data volumes, lead the building of new features, and help shape our engineering culture and processes. Our technology team is focused on scale, quality, delivery, and thoughtful customer experience.
To be set up for success in this role, you’ll need to have:

5+ years total professional experience with Machine Learning or Statistical Analysis
A capacity for a high degree of autonomy and out-of-the-box thinking
The ability to write sophisticated data analysis & machine learning code in Python
A commitment to collaborating closely with other engineers and across functions

If any of the below also describe you, this could be an exciting opportunity:

Worked on a complex, high-traffic site at a startup or software-as-a-service company, ideally with large amounts of data
Experience with text modeling, NLP, and large language models
Interest in search
Interest in journalism, news, media, or social media

In addition, we’re always looking for candidates who:

Perform an analysis to make a recommendation to other team members as to whether data science methods can be used to solve a given problem
Research and evaluate new analytical methodologies, approaches, and solutions
Build, test, and deploy supervised or unsupervised learning models
Write queries (SQL, elastic search) to grab the right set of data to solve their problem
Build tools to enable other data scientists to scale their knowledge and increase impact
Interpret and communicate analytic results to analytical and non-analytical business partners and executive decision makers
Participate in code reviews and model reviews of their teammates

Interview Overview
Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

30 min interview with a member of our Talent Team
1 hour zoom interview with the hiring manager
Take-home coding assignment (2 hours max)
Peer interviews, including a 30 min code review discussion
Final call(s) with executive team member(s)

Salary
The starting salary for this role is between $140,000 - $172,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.


Data Scientist

Job Summary:WHO ARE WE?Live Nation Entertainment is the world’s leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network.  Ticketmaster.com is the global event ticketing leader and one of the world’s top five eCommerce sites, with over 26 million monthly unique visitors.  Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally.  Front Line is the world’s top artist management company, representing over 250 artists.  These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors.WHO ARE YOU?Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE TEAMAbuse Operations is a centrally managed command and control center for abuse investigations, escalations, policy enforcement, and tooling for all global Live Nation ticketing systems.  THE ROLEAs the Data Scientist for Abuse Operations, you'll be part of a mission critical team protecting the Live Nation ticketing platforms from abusive entities or those who deploy abusive digital behaviors designed to circumvent our controls that protect fair access to tickets. The Data Scientist is responsible for producing and operationalizing reports to provide business insight on system abuse across global ticketing platforms.  WHAT THIS ROLE WILL DO
Architect data structures, feeds and reports to provide real-time reporting and alerting focused on abuse analytics for concert ticket onsales & post-purchase activities.

Build ETL processes & operationalize data feeds, ensuring data availability & accuracy.

Complex reporting & data analysis projects to evaluate emerging trends and hypothesis.

Lead reporting systems and tool reviews and evaluation

Act as a source of truth for abuse prevention data and analytics.

Ongoing self-directed analysis to uncover data trends and system usage patterns.
Drive continuous improvements to our products, tools, and processes by sharing learnings, constructive feedback, and input with internal technical and analytics teams.
Independently learn new technologies and master Live Nation ticketing platforms data & tools.
 WHAT THIS PERSON WILL BRING
5+ years’ experience in Data Science or Data Analysis in an entertainment or B2C environment
Extensive knowledge and experience working with large global data sets from multiple source systems
Strong experience with synthesizing & summarizing large data sets into trends to drive strategic business decisions & hypothesis evaluations
Strong Proficiency in SQL Queries and scripting languages (Python preferred)
Extensive knowledge of database and analysis tools such as Splunk, Kibana, DataBricks, Snowflake, etc.
Experience with Incident and change management
Experience in a global, fast-paced environment, resolving multiple interrupt-driven priorities simultaneously
Exceptionally focused on quality, accuracy & attention to detail
Excellent pattern recognition, and a general curiosity to uncover trends & evaluate data anomalies.
Passionate and motivated, resourceful, innovative, forward-thinking
Strong communication skills and the ability to summarize complex analysis into executive updates
Ability to work with autonomy while ensuring that new knowledge is shared with technology & analytics teams
Committed and able to adapt quickly
Embrace continuous learning and continuous improvement
Passion for live music and the concert experience
 BENEFITS & PERKSOur motto is ‘Taking Care of Our Own’ through 6 pillars of benefits:

HEALTH: Medical, Vision and Dental benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)

YOURSELF: Generous paid time off policy including paid holidays, sick time and paid days off for your birthday, Free concert tickets

WEALTH: 401(k) program with company match, Stock Program

FAMILY: New parent programs & support including caregiver leave and childcare cash, infertility support

CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings

OTHERS: Volunteer time off, crowdfunding network
Live Nation’s policy regarding vaccinations and masking will evolve based upon updated regulations and factors related to COVID-19. Currently, we strongly encourage employees to be fully vaccinated or have received a negative COVID test within [24] hours of entering an office.EQUAL EMPLOYMENT OPPORTUNITYWe are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion.  You will be working in an inclusive environment and be encouraged to bring your whole self to work.  We will do all that we can to help you successfully balance your work and homelife.  As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with.  It’s talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas.We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant  consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process.  Live Nation will also provide reasonable religious accommodations on a case by case basis.HIRING PRACTICESThe preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this jobLive Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms.#LI-EF1----------The expected compensation for this position in California is:$128,000.00 USD - $160,000.00 USD**Please note that the compensation information provided is a good faith estimate for this position only and is provided pursuant to the California Salary Transparency in Job Advertisements Law. It is estimated based on what a successful California applicant might be paid. It assumes that the successful candidate will be in California or perform the position from California. Similar positions located outside of California will not necessarily receive the same compensation. Live Nation takes into consideration a candidate’s education, training, and experience, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the California Law, a potential new employee’s salary history will not be used in compensation decisions.


Data Scientist Lead

Data Scientist, Lead
The Opportunity:
Are you a seasoned analytics professional who wants to be at the cutting edge of data science and artificial intelligence? If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep data science and machine learning expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with the full life cycle of machine learning development and deployment for fraud, waste and abuse, identity theft, risk, and other rare event detection.
As an advanced data scientist and researcher on our team, you’ll introduce innovative data science and machine learning methodologies to make a real-world impact on fraud and risk detection. You’ll share your skills in predictive modeling and machine learning operationalization and shape the future of analytics through a variety of means like white papers and client presentations. We’ll keep you sharp and moving forward in your career, with access to online courses and the latest tools and methods. Whether you’re building models to detect identity theft or helping prevent improperly you’ll lead a team that serves critical missions from end to end.
Join us. The world can’t wait.
You Have:
8+ years of experience with data science or program data analytics, including in a lead, project manager, or consultant roleExperience with providing technical direction and leadership to data science teamsExperience working with and presenting to non-technical clientsExperience with business development, technical leadership, product management or product ownership, or client-facing project workKnowledge of the landscape of technology capabilities around data science or financial analyticsAbility to work on business development capabilities independently, including proposal and white paper writingAbility to present to clients about firm's capabilitiesAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with the full life cycle of machine learning development and deployment, including gathering requirements, identifying data, preparing data, building, validating, and using deployable predictive models with the usage having tangible resultsExperience with developing predictive models around fraud, risk, or rare eventsExperience with cloud AI environments, including Databricks, Azure ML, or AWS SagemakerKnowledge of Agile and Scrum processesAbility to come up with good solutions or plans to deal with client lack of data or technologyAbility to create solutions without having specific business requirementsPossession of excellent verbal and written communication skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $106,200.00 to $242,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Health Data Scientist Senior

Health Data Scientist, Senior
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data.
We have an opportunity for you to use your analytical skills to improve public healthcare. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, apply machine learning, help scale machine learning applications to new clients and challenges, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our federal government clients make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in public health.
Empower change with us.
You Have:
3+ years of experience with data science, machine learning, cloud engineering, DevOps, or data strategyExperience with healthcare or clinical dataExperience with AWS Cloud servicesExperience with Docker, Kubernetes, or JenkinsExperience managing disparate data sources, including preprocessing, cleansing, and verifying data integrityExperience performing data exploration and analysis to support analytics objectivesExperience with program automation, CI/CD, DevSecOps, or AgileAbility to manage junior data scientistsAbility to obtain a security clearanceBachelor's degree
Nice If You Have:
Experience with data visualization tools or technologies, including Tableau, Qlik, RShiny, and with data analysis for health organizationsExperience with Machine Learning, Artificial Intelligence, or Natural Language ProcessingExperience leveraging statistical programming languages, including Python, for developing predictive data models, quantitative analyses, and visualization of targeted data sourcesExperience with spaCy, FastAPI, gensim, and Hugging FaceExperience with natural language processing, text mining, or search capabilitiesExperience creating data infrastructure models and implementing them in healthcare client systemsExperience with Node and ReactExperience working with or deploying a machine learning model into productionAbility to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situations
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Senior Data Scientist Point Of Sales Ecosystem

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
The XPOS team at Square is focused on building an ecosystem of point-of-sale (POS) apps that feels cohesive to sellers, regardless of where they start. As a member of the XPOS data science team, you will play a critical role in enhancing our understanding of the XPOS app ecosystem and using data to drive decision-making throughout the product development lifecycle. You will report to the XPOS DS lead, and partner with product, engineering, marketing and other cross-functional stakeholders to help lead the effort to define metrics to track progress against organizational goals, develop solutions to personalize product experiences, and provide insights and drive strategic decisions with data.
You will:
Partner directly with the XPOS product team to identify opportunities for using data to drive business outcomes and guide product development decisionsApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaContinuously improve data quality and accessibility, and work with data engineering teams to optimize data pipelines and storageDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience leading cross-functional projects and partnering with Product/Engineering/Marketing/Design on strategy and prioritization;Strong experience in data analysis, statistical modeling, and machine learning, with a focus on applying these skills to solve business problems.Familiarity with data engineering best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success
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 $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone 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.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement 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 off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. 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.


Senior 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.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, 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 the payment 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
A BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field7+ years of relevant experience (or masters and 4+ years)Experience with SQL, Python and LookerExperience with machine learning model development and deploymentExperience 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 risk, trust and safety, payments, or spam prevention
Additional Information
US and Canada EEOC Statement
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.


Sr Data Scientist

About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
We are looking for a Senior Data Scientist for the Content org. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you’ll do:
Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission – to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest
What we’re looking for:
5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fields Familiarity with online experiment and its pitfalls  Statistical rigor, can guide the team and others on statistically valid approaches to problems A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions
This position is not eligible for relocation assistance.
#LI-JT6
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$114,750—$236,000 USD
Our Commitment to Diversity:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify accessibility@pinterest.com for support.


Lead Data Scientist

POSITION SUMMARY:
The Lead Data Scientist is a member of the Bioinformatics group.  Participates in the design and prototyping of cutting-edge algorithms for analysis of genetic data.  Perform data analysis, contributes to our intellectual property portfolio, and interacts closely with our molecular biology team to guide and analyze experiments.
PRIMARY RESPONSIBILITIES:

Independently lead the development and optimization efforts within the Oncology Bioinformatics group for design of high-throughput assays built on next generation sequencing platforms.
Move products through the full development process, from research through commercial launch.
Drive rigorous data analysis effort and support group efforts toward high quality documentation.
Leverage accurate probability models to build the next round of algorithms and products.
Help develop and guide molecular biology experiments.
Contribute to our intellectual property portfolio.

QUALIFICATIONS:
Requirements:

Ph.D. in applied math, statistics, engineering, or equivalent.
Minimum of five years of post-PhD industry experience.
Minimum of five years of experience in data analysis using software such as Python, MATLAB or R. Could be replaced by extensive experience in a procedural language such as C++.
Minimum 3 years of experience with next-generation sequencing technology and assay development.
Foundation in probability theory and estimation/classification methods.
Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
Experience with a database query language such as SQL.
Excellent communication skills and the desire to work in a dynamic and collaborative environment
Employee must pass post offer criminal background check.

Desirable, but not required:

Understanding of CLIA standards and FDA testing guidelines is a plus.

#LI-AE1
#LI-REMOTE


Data Scientist

Kickstarter, PBC is seeking a Data Scientist to join our Insights team. This is a crucial part of our analytics and data science function at Kickstarter and a full-time remote position.

About the Team:
Kickstarter's Insights team is a collaborative group of people who are passionate about using data and research to help bring creative projects to life. Our team’s mission is to provide the organization with robust information, analyses, and insight to inform and assess Kickstarter’s strategic objectives. Our team’s objectives include:

Democratizing data access across the organization and providing tools and training to support data-informed decisions;
Acquiring and synthesizing all relevant information about our ecosystem, the creative landscape, and our users, to provide high quality strategic advice to decision makers at all levels of the organization;
Raising the quality of data in our system, including improving our data infrastructure and modeling, and utilizing a variety of research methodologies to understand our users and their experiences.

To achieve this we will seek to use the most up-to-date data, analytical techniques, and appropriate technologies. We collaborate with teams across the organization to provide colleagues with reliable and actionable information through research, reporting, dashboards, and analytics. We value peer feedback, continuous learning, and blameless post-mortems. We prefer proven technology and have built most of our data infrastructure on AWS, but we also care about finding the right tools for the job, so we invest in cutting-edge technology when it's a good fit.

The salary range for this role in the United States is $145,000 - 165,000.
About the Role:
We’ve developed cutting-edge infrastructure to help us collect and aggregate data from our production applications, largely built on AWS. A primary component of your job will be querying and analyzing that data, which will require extensive SQL knowledge. For more advanced analysis you’ll be working with tools like Python and R to explore and visualize data. You will mine the data ecosystem to find fruitful signals and develop and deploy performant algorithms. Your insights and wisdom will be essential to how Kickstarter evolves, lead to new data products, and your expertise will guide us as we learn new things every step of the way.
Your background should include experience using your data skills day-to-day as well as a healthy understanding of the product development lifecycle. Ideally you are adept at using statistics to separate signals from noise and completely at ease communicating the story behind the data.
About You:

You are a SQL expert and are at ease wrangling large datasets
You are proficient in Python and whatever other tools you prefer for analysis
You have a solid command of the statistics required to do data science on the web
You value communicating insights concisely, accurately, and meaningfully to a diverse audience
Experience with dbt is a strong plus


Data Scientist Product

About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

At Lyra, we believe that data-driven technology and decision-making is a critical part of solving the thorny, complex challenges of provider quality and accessibility within what can only be described as a broken system.  We are looking for a product-minded Data Scientist (minimum of 4+ years of experience) who cares about impact, ownership and cross functional collaboration.

*This Data Scientist role can be filled remotely anywhere within the US, as well as locally in our Burlingame, CA headquarters.  Please note that remote-based candidates must be physically located within the United States.

As a Data Scientist on this Product-facing team, you will…
- Work closely with Lyra’s Product, Engineering, and other associated teams (e.g., Operations, Sales & Marketing, etc. depending on the need) to enhance the Lyra platform to serve the needs of our providers and clients.
- We will look to you to deepen our understanding of the user experience and identify opportunities for product iterations.
- Our product initiatives include facilitating access to care for eligible members, enhancing our already-stellar customer experience, and enriching our suite of self-care options.

As a Data Scientist on this Product-facing team, you will…

Work closely with Lyra’s Product, Engineering, and other associated teams (e.g., Operations, Sales & Marketing, etc. depending on the need) to enhance the Lyra platform to serve the needs of our providers and clients.
We will look to you to deepen our understanding of the user experience and identify opportunities for product iterations.
Our product initiatives include facilitating access to care for eligible members, enhancing our already-stellar customer experience, and enriching our suite of self-care options.

Responsibilities

Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients
Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey
Translate data insights into recommendations on business strategy and product roadmaps
Partner with data engineers to build pipelines that apply clinical logic to raw data
Complete time-sensitive ad hoc data requests for internal and external stakeholders

Required Skills / Experience

3+ years of data analysis in an industry setting with a preference for individuals who have experience in product analytics and have partnered with engineering and product teams in prior roles.
Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).  Experience applying hypothesis testing in an industry or research setting.
Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate.
Strong SQL proficiency.  Experience writing complex queries with multiple schemas and tables.  Preference for candidates who have experience creating views.
Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).
Experience developing comprehensive analyses using irregular data from disparate sources.  Willing to do whatever it takes to clean messy data prior to deriving insights.

Desired Skill Sets/Experience:

Experience with Tableau is a plus.
Interest in public health a plus

$114,000 - $157,000 a year
As a full-time Data Scientist, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $114,000 - $157,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.

Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
-Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
- Lyra for Lyrians; coaching and therapy services
- Equity in the company through discretionary restricted stock units
- Competitive time off with pay policies including vacation, sick days, and company holidays
- Paid parental leave  401K retirement benefits
- Monthly tech stipend
- We like to spread joy throughout the year with well-being perks and activities, surprise swag, free food and snack deliveries each month, regular community celebration…and more!

We can’t wait to meet you.

#LI-REMOTE

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability,  genetic information or any other category protected by law.


Data Scientist

Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for building  machine learning products using a combination of modeling, software development, exploratory analysis, and data strategy to transform how a business domain is able to operate.
Come join our fast-paced growth-stage culture working alongside other talented data professionals in an environment that invites and necessitates professional growth and learning while enjoying the support of a well funded company - we’ve raised over $235M in investment capital from world-class investors like Durable Capital, T. Rowe Price, and Allen & Company.
What you’ll do

Build, deploy and monitor machine learning models and algorithms that have a sustained business impact
Develop software that allows new models to be reliably deployed and monitored
Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders
Monitor model performance and identify opportunities for iterative improvement
Build predictive datasets using data cleaning and feature engineering techniques
Continue to learn new data science techniques, tooling, and coding best practices
Research new methodologies, concepts and industry trends to guide the creation and adoption of new analytical approaches and technologies
Communicate complex, technical information to non-technical audiences

What makes you a great fit

5+ years of experience in data analytics and 2+ years of data science work
Related technical bachelors, masters, or doctoral degree preferred
Programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high quality, well-documented, and well-tested  code
Clear recognition of how and when to iterate on deployed models
Track record of consistently identifying and prioritizing high value opportunities
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders

Location
We currently are able to hire throughout the U.S except in the following states: District of Columbia, Hawaii, and Pennsylvania. If you live in Colorado, you can work remotely anywhere in the state, at our downtown Denver office, or a hybrid of both!
California Applicant Privacy Policy | Evolve
Compensation
For this role our salary range is $106,000 - $130,000, depending on relevant experience. This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
Additional compensation details:
Equity: 50% of salary equivalent RSUs
Variable comp: 10% of salary target
#LI-AZ1


Senior Data Scientist Nlp

Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm.  Our consultants bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive the current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners.  Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists.  Stay connected with external sources of ideas through conferences and community engagements.  Bachelor's Degree in Data Science, Computer Science, or a related field 7+ years of Data Science and Machine Learning experience required Proficiency in Python. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modelling techniques to solve problems such as clustering, classification, regression, demand forecasting, simulation and optimization problems on large-scale data sets Ability to implement NLP best practices for the entire Data Science lifecycle Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Senior Data Scientist Guidewire Analytics

Guidewire is searching for a risk modeling expert to empower our captivating story of vision, strategy, and disruptive impact, encapsulated in our portfolio of solutions for the $2T global insurance industry.  Your work will convince the actuaries and product managers of the world’s largest insurers that Guidewire augments their superpowers and redefines the frontier of the possible.  You will achieve this feat by taming the complex world of geo AI into elegant digital output that compels people to behold that, once they see what the future holds, there is no going back.

Who We Are, What We Believe, & What We Build Guidewire is the market leader that 400+ insurance companies trust to run their mission-critical platform.  Every second, we support underwriters crafting guidelines and actuaries making rates.  We believe that making a great decision should not require 100 in-house data scientists.  Our products range from cyber risk quantification to potent ML sandboxes.  We are a post-IPO company with the vision to revolutionize insurance.  There is a lot to be done.

Who You Are
You are bold, evangelical, deeply strategic, and fast moving.  You persuade your audience into action with an exceptional command of language, perfect tone, and masterful articulation of concepts in both letter and form.  You innately visualize the intersecting landscape of market needs, competition, accuracy, and positioning with departments of insurance.  When you aim, you hit the bullseye and measure success numerically.  You are equally comfortable collaborating on vision as running a highly organized and transparent process. You are comfortable working within a highly matrixed organization and passionate about inspiring enthusiasm across marketing, product,and sales teams to vanquish market-inhibiting challenges.

Vision:

Evangelize our vision, add your novel perspective, publish thought pieces, and create thirst for an intrepid future
Deeply understand market challenges to develop innovative solutions with laser focus and expediency.
Bring to market the breakthroughs that eradicate insurance complexity with powerful and disarming elegance.

Leadership:

Amplify an exceptional culture of curiosity and craftsmanship that renders the impossible possible
Gracefully partner with all constituents, including other matrixed groups, to achieve our bold mission

Execution:

Deliver maximum-impact model specifications, regulatory positioning, and support for development of collateral that supercharges our reach and ARR growth across multiple
industries including insurance, real estate, and ESG.
Use project milestones together with effective and accurate documentation to communicate and track important deadlines. Leverage triannual model deployments to enable a successful timely launch of all data solutions.
Build trust via transparency, frequent communication, and consistent delivery of expected outcomes with exceptional quality.
Operate a pipeline of thought leadership (white papers, blogs, podcasts) that signals and cements our innovative spirit and insurance industry expertise.
Work with corporate marketing teams to deliver impactful campaigns and collateral.

Qualifications:

7+ years' proven track record in development of geospatial and statistical risk assessment products in P&C domain (3+ years as team lead)
Strong strategic business acumen with intuitive mathematical prowess & detail orientation that is effective and meaningful, but not paralyzing.
Demonstrated confidence and business acumen to leverage analytics and data services to solve any insurance challenge combined with creativity that can be required for regulatory hurdles.
Proficient in Python or R, SQL, ArcGIS or QGIS, and GeoData with Advanced Microsoft® Excel skills
PhD, FCAS, or CPCU a plus

$141,000 - $211,000 a year
The US base salary range for this full-time position is $141,000- $211,000+ bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

#LI_Remote
#feature
#datascientist #ArcGIS #python #geospatial

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 500 insurers in 38 countries, from new ventures to the largest and most complex in the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.

For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to (650) 356-4940 or Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.


Sr Data Scientist

The Senior Data Scientist will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional data sets. The Senior Data Scientist uses a flexible, analytical approach to design, develop, evaluate, and deploy robust solutions leveraging innovations in data science, machine learning, and predictive modeling techniques. To do this job successfully, you need exceptional skills in statistics, data modeling, advanced mathematics, and programming. The Senior Data Scientist should be able to independently complete responsibilities.
Essential Duties and Responsibilities:

Problem Definition

Collaborate independently with product teams and clients to translate real-world healthcare issues into well-defined problem statements and requirements to build out mathematical frameworks and data science solutions.

Data Cleaning and Exploration

Select appropriate datasets and data representation methods.
Process, cleanse, and verify the integrity of data used for analysis and modeling.
Use strong programming skills to explore, examine, and interpret large volumes of data in various forms.
Develop data structures and pipelines to organize, collect, and standardize data used in data science workflow

Feature Engineering

Select influential features, as well as develop additional features, using machine learning techniques for use in model development.

Model Development

Design, develop, and validate data models and algorithms used for prediction, classification, pattern detection, and other insights related to healthcare issues.
Develop documented, maintainable code.
Develop and utilize unit tests to validate functional correctness and completeness, verify correct error handling, check input/output data, optimize performance, and identify and fix defects.

Model Deployment

Deploy and deliver AI/ML products as embedded algorithms into existing products or deploy them into production as microservices.
Work closely with product development teams to design, build, manage, and test APIs.
Collaborate with product teams and engineers to coordinate the implementation and QA of algorithms and other data science solutions.
Continued evaluation and maintenance of models throughout their lifespan.

Model Documentation

Document projects including problem definition, data gathering and processing, detailed set of results, and analytical metrics.

Communication of Results

Use data visualization techniques to build presentations, dashboards, and reports to effectively communicate analytical results which drive insight, recommendations, and solutions.
Present compelling, validated findings from exploratory and predictive data analysis to all levels of the organization, including peers, senior management, and customers.

Mentorship

Peer review data science code and other product artifacts to ensure technical, logical, and procedural correctness. Validate assumptions and review for hidden biases.
Serve as a resident data expert and share best practices/approaches for statistics, machine learning techniques, data modeling, simulation, and advanced mathematics.
Provide mentorship and guidance to other members of the data science team.

Essential Education, Experience, and Interests:

Degree with a quantitative element (e.g. mathematics, statistics, economics, engineering, computer science, applied math, etc.) or 5+ years equivalent job experience.
Strong proficiency with Python, Jupyter Notebooks, and standard Python data science libraries including, but not limited to: Pandas, Numpy, and Scikit-Learn
Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering, and data visualization.
Experience with cross-functional collaboration and project ownership.
Experience building microservices, preferably using Flask and Gunicorn.
Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise, and actionable.
Proficient understanding of Git.
Knowledge of health care terminology. (e.g. HRGs, diagnosis/procedure codes, etc.) Experience working with both payer and provider data preferred.
Preferred experience with Amazon Sagemaker, and Oracle
Experience with SonarQube, unit test, coverage, and nosetests for code quality testing preferred.
Experience with Docker, Postman, and REST APIs preferred.
Experience with Vertica, MongoDB preferred.

Compensation Information:

Base Salary Range: USD $100,000 - $150,000

**Individual compensation packages are based on various factors unique to the candidate, including skill set, relevant experience, qualifications, and other job-related reasons.
This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.


Sr Data Scientist Namer Emea

Hi there!

We're looking for Senior Data Scientists to join the Data Insights team at Zapier. Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.
Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones (NAMER/EMEA), so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!
If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…

Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier

About You

You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.

You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.

You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.

You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.

You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.

You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).

You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.

You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.

You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.

Things You’ll Do
Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:

Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.

Drive proactive analysis/research into high-potential green fields.

Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.

Ensure all teams have insight to data and can answer their own first-order questions.

Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.

Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.

Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT and Python or R.

As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.

Zapier Compensation Guiding Principles
We believe all Zapiens should be rewarded competitively and equitably, using practices that are simple and transparent. This philosophy ensures we’re able to find, grow, and retain exceptional people from a broad range of backgrounds. Here’s how we define our compensation principles:

Competitive: Zapier pays well among the technology sector.

Equitable: Consistent pay practices; competency-based pay.

Simple: Pay is well understood, and pay practices are built for scale.

Transparent: Zapiens know how pay works, including how their pay is determined.

The pay ranges for this role are:
United States: min 138,300 mid 172,900 max 207,500 USD
Canada: min 138,300 mid 172,900 max 207,500 CAD
Europe: min 82,600  mid 103,300  max 124,300 EUR
A Candidate's compensation package is finalized once the interview process is concluded and accounts for experience, competencies (job knowledge, skills and abilities) and internal equity. We use a competency-based approach to base pay, which means we set pay for all Zapier employees based on their competency and skills demonstrated in their role. In alignment with that philosophy, the upper half of a pay range is typically reserved for individuals who have consistently demonstrated a high level of job knowledge and skills for their current role and level while at Zapier.
For more information on Zapier’s Total Rewards please click here.

How to Apply
At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of education or companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!
Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.
Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.
Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.
#LI-Remote


Staff Data Scientist Search Recommendation

About this role
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
You’re excited about this role because…

You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
You want to use machine learning to help local retailers and independent brands succeed
You want to be a foundational team member of a fast growing company
You like to solve challenging problems related to a two-sided marketplace

Qualifications

5+ years of industry experience using machine learning to solve real-world problems
Experience with search/query processing for product development
Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch,Solr, FAISS)
Strong programming skills
An excitement and willingness to learn new tools and techniques
Experience with relational databases and SQL
The ability to contribute to team strategy and to lead model development without supervision
Strong communication skills and the ability to work with others in a closely collaborative team environment

Great to Haves:

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement state of the art algorithms from an academic paper
Previous experience on graph neural network and/or language models and deep learning

Salary Range
California / New York: the pay range for this role is $203,000 - $279,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $183,000 - $251,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.


Senior Data Scientist Search Recommendation

About this role
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
You’re excited about this role because…

You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
You want to use machine learning to help local retailers and independent brands succeed
You want to be a foundational team member of a fast growing company
You like to solve challenging problems related to a two-sided marketplace

Qualifications

3+ years of industry experience using machine learning to solve real-world problems
Experience with search/query processing for product development
Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch,Solr, FAISS)
Strong programming skills
An excitement and willingness to learn new tools and techniques
Experience with relational databases and SQL
The ability to contribute to team strategy and to lead model development without supervision
Strong communication skills and the ability to work with others in a closely collaborative team environment

Great to Haves:

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement state of the art algorithms from an academic paper
Previous experience on graph neural network and/or language models

Salary Range
California / New York: the pay range for this role is $173,000 - $238,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $156,000 - $214,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.


Senior Data Scientist Retailer

About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a Data Scientist on the Retailer team, you will work on solving shipping cost problems by leveraging machine learning models, engineering and analysis skills. You will help drive the adoption of the Ship-with-Faire (SWF) program among brands and optimize the SWF program economics.
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do

Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use information from carriers (USPS/UPS/FedEx) and be both performant and explainable.
Maximize customer retention while keeping contribution profits in check.
Develop an in-house utility that can expose information about the shipping cost predictions, making model debugging more efficient for internal stakeholders.
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success.

Qualifications

Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, Predictive Modeling, or Deep Learning
Strong programming skills (Python, Java, Kotlin, C++)
Knowledge of statistical techniques such as experimentation and causal inference
SQL or other database querying experience preferred
An excitement and willingness to learn new tools and techniques

Salary Range
California / New York: the pay range for this role is $173,000 - $238,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $156,000 - $214,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.


Staff Data Scientist Algorithms Guest Science

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Understanding Who are our Guests and What they want is at the heart of providing a high quality user experience and informing thoughtful personalization of our online product. The core of the Airbnb platform is hospitality and we aim to become the ultimate host for our users, at every detail. To achieve such a goal, the Data Science team mines various collections of behavioral data to design and build machine learning models to understand our user experience and app performance. This derived understanding is used to inform product improvements that make the steps from search to booking easy and fast for guests.
The Difference You Will Make:
As  ML data scientist you will be the hands-on Science Lead for technical projects that seek to develop and communicate an understanding of user behavior and app performance patterns. The Guest Data Science team works to identify, model and measure user intent at various stages of the user product journey and collaborate with a strong team of engineers to improve barriers and frictions in our online user experience. Our team works across a diverse collection of Airbnb’s largest datasets and we are committed to applying innovation and creativity towards extracting a foundational understanding of our user, amidst the richness and heterogeneity of their complex behaviors and preferences.
A Typical Day:
Focus time – To build machine learning prototypes, develop data mastery to uncover learnings, and formulate structured frameworks to classify our users’ online product experience and interpret their behaviors
Apply and experiment with state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems
Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
Publish externally and engage with the scientific community to advance Airbnb’s standing
Your Expertise:
9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in a quantitative field
Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
Comfort to collaborate with software engineers to understand complex systems and abstracted logs
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus
Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$185,000—$245,000 USD
Apply now