Data Scientist

Technology Department, Data Science Team100% RemoteThe Team:The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small, tight-knit, self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.The Opportunity: As a Data Scientist you will work with several product teams and other Technologists on a largely independent endeavor to track, understand, and tell the story of users as they come to our products. You will share much of your work directly with the CIO and Chief Architect. You bring a portfolio of skills that allows you to work with a variety of data sources, clean and munge data with varying levels of structure, perform analyses to derive insights, and communicate clearly through data visualization, writing and presenting. Your ability to understand the data and the concerns and narratives around that data put people at ease and allow you to address concerns head on. You are passionate about understanding stakeholders and leveraging data to support their needs. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to answer tricky questions.In this role, you will: Perform data exploration, analysis, and prototyping (80%)
Ingest new data streams and integrate them with existing sources to deepen insights.
Perform thorough exploratory data analysis and raise new questions.
Create insights from existing data and drive the collection of new data.
Independently manage and complete all the work needed to deliver small-sized applications and analyses on time and at a very high level of quality.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Build tools that are used daily by those concerned with our users and their ability to access our products.
Communications & Stakeholder Engagement (20%)
Assist in the identification and resolution of production issues.
Independently learn about stakeholder concerns and observations.
Communicate findings and assist stakeholders in interpretation of data and analyses.
Share reports and tools that allow stakeholders to self-serve data and analyses related to recurring questions.
About you, you have
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (with an interest in Python).
Experience in data and statistical analysis, with a strong ability to interpret stakeholder concerns into analytical questions.
Experience with SQL and NoSQL databases.
A passion for solving difficult problems creatively.
Excellent communication and listening skills including helping others understand both problems and solutions.
Strong data visualization skill and the ability to tell a story with data.
Comfortable working with stakeholders across teams with a passion for helping your colleagues succeed.
Some experience with operationalizing data science tools, such as dashboards, or models.
Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $144,000 - $157,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically
#LI-TheAcorn#LI-Remote


Data Scientist Engineer Ii

College Board – Technology Division; Data Science, ML, AI, NLP Group100% Remote (working EST)About the TeamThe Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of 6 Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.About the PositionAs a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savviness, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.In this role, you willDevelop machine learning applications (40%)
Design and implement high quality software using the latest and greatest cloud and machine learning technologies
Independently manage and complete all the work needed to deliver small sized applications and analyses on time and at a very high level of quality
Help identify and build components of complex machine learning models.
Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
Build functions, APIs, and data stores to make predictions and analyses accessible to other systems.
Data exploration, analysis, and prototyping (40%)
Create insights from existing data and drive the collection of new data.
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations.
Create reproducible, documented analyses and models that lend themselves to automation.
Team Operations & Success (20%)
Help the team break down the work into manageable tasks and support our Agile maturity.
Assist in the identification and resolution of production issues.
About you, you have:
Ideally a Master’s in a quantitative discipline or computer science, OR a bachelor’s and 1-2 years related experience, OR 3+ years related experience OR a great story to tell.
Programming expertise in Python (Preferred) or R (must be eager to learn Python)
Experience in data and statistical analysis
Experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
Experience with SQL and NoSQL databases
A passion for solving difficult problems creatively.
Excellent communication and listening skills, and can help others understand both problems and solutions.
The ability to tell a story with data.
Worked within a close-knit team and enjoy helping your colleagues succeed.
Knowledge in CI/CD, DevOps and Agile
Knowledge in developing applications on a Serverless or Microservices cloud platform (AWS preferred)
About Our Benefits & Compensation: College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The base salary range for a new employee in this position is $110,000 - $115,000 per year. The salary offer of an individual candidate within this range is specific to their qualifications.
Each salary offer is determined carefully using internal and external benchmarking. You will have an opportunity to discuss salary in more detail after you begin the application process.
As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
About Us:
We are motivated to positively impact the educational and career trajectories of millions of students a year.
We prioritize building a diverse and inclusive team where every employee can thrive, and every voice is heard.
We value learning and growth; we offer formal and informal ways to lead through your superpowers, sharpen your strengths, and meet your development goals.
Our high-performing engineers work with the latest technologies, so you will be constantly learning and sharpening your skills, enabling you to be industry-forward instead of left behind technologically.
#LI-TheAcorn#LI-Remote


Senior Data Scientist

Founded in 2012, EasyPost is a YC unicorn whose mission is to make shipping simple for businesses, from garage startups to the Fortune 500. Shipping, now more than ever, is the backbone of the global economy, but integrating the technology-enabled operations of a modern business with the low-tech and complex shipping industry has always been a challenge. EasyPost solves this problem with the first developer-friendly REST API for shipping, and we continue to push boundaries and discover new ways to simplify shipping for all. Our team is rapidly growing, and this is the perfect time to get on board. Join us, and help build the shipping infrastructure of the future.

About the role:

We are looking for a data scientist to join our team who is excited about exploring large data sets to build compelling products and provide insights to drive company strategy. In this role, you will collaborate with stakeholders across our business, product and engineering organizations to solve the most pressing challenges the company faces. If you love to dive deep into fascinating data sets, tell compelling stories with data and enjoy working in a fast paced, collaborative environment, we’d love to hear from you!

What you will do:

o Work with internal stakeholders to provide data-driven answers to strategic business questions using a variety of techniques
o Research, prototype and track key company metrics.
o Build dashboards in Tableau/Python to monitor and share the resultsIdentify new areas of opportunity for the company and prototype solutions; conduct basic market research and find external data sources to validate these ideas
o Help build internal tools that help the business team make data-driven decisions and/or automate manual processes
o Contribute to existing internal and external machine learning-based products via researching new methodologies, creating new measurement/validation techniques, etc. to increase efficacy and business outcomes

About you:

o Programming skills in a scientific computing language (Python preferred) and SQL
o Understanding of statistics and machine learning; understanding of complexity vs. performance tradeoff in these systems
o Business acumen - understand business objectives, identify problems that data can help solve and drive the solution from start to finish
o Developed communication and presentation skills; ability to effectively translate technical concepts to stakeholders with a wide range of technical capabilities
o Collaborative attitude; open to giving and receiving constructive feedback, mentoring/assisting team members and contributing to a positive work environment
o Familiarity with SaaS business model/metrics and/or previous experience in e-Commerce/logistics
o Minimum of 5 years experience

What We Offer:

o Comprehensive medical, dental, vision, and life insurance
o Competitive compensation package and equity
o 401(k) match
o Monthly work from home stipend of $100 net
o Flexible work schedule and paid time off
o Collaborative culture with a supportive team
o A great place to work with unlimited growth opportunities
o The opportunity to make massive contributions at a hyper-growth company
o Make an impact on a product helping ship millions of packages per day

Data Privacy Notice for Job Applicants:
For information on personal data processing, please see our Privacy Policy: https://www.easypost.com/privacy

"EasyPost is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law."

To be considered for this position, you must be authorized and based in the United States.


Staff Advanced Analytics Guest Product

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:
We are looking for a team member to help Airbnb enable travel for our millions of guests and hosts on our platform. This Product Analytics role will sit under the Advanced Analytics family and support Product leaders.
The Difference You Will Make:
You will be a Data thought leader to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.  You will make a major impact on our guest and host facing product, help us determine what new features to launch, and how to make them better.
A Typical Day:
Developing a deep understanding of how guests and hosts interact with our product through structured and unstructured data sources.
Work closely with Product Managers to design, execute and evaluate A/B tests. Understanding common pitfalls and caveats when designing and evaluating results.
Define how to best measure the performance of Airbnb product and business through new metrics and dimensions -  align on definitions with the business (evaluating  tradeoffs and defining guardrails), and prototype metrics through custom data pipelines.
Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumptions within Airbnb.
Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices such as improving and automating analytical processes, building new data tools and data sets, data education around the company and mentoring and developing others.
Your Expertise:
8+ years in industry experience and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
Experience in a Product Analytics or Data Science role
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
Experience in analysis of A|B experiments and statistical data analysis
Experience designing and building metrics, from conception to building prototypes with data pipelines
Strong knowledge  in at least one programming language (Python or R) and in SQL
Ability to drive data strategies, with a central source of truth to impact business decisions
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $170,000 and $215,000. 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.
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. Airbnb, Inc. can employ in  states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously  evolving and being updated, 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.
Apply now


Senior Data Scientist

Job DescriptionCVS Health’s mission is to improve lives by making innovative and high-quality health and pharmacy services safe, affordable, and easy to access. Our team embodies this mission each day, pioneering bold new approaches to total health. We leverage large health and retail datasets & advanced data science techniques to drive the company’s pharmacy operations strategy; some examples over the past year include rolling out COVID-19 vaccines across the country as the lead retail provider in the nation, improving the pharmacy experience for millions of patients, and optimizing activities for thousands of medical providers.   We are seeking talented & passionate individuals to be part of this high-impact team.  Why CVS Health Analytics & Behavior Change?Looking for opportunities to use cutting-edge technologies to analyze petabytes of data? Interested in generating analytical insights to optimize retail and community pharmacy care?The Analytics & Behavior Change team is an elite, rapidly growing community of nearly 1,000 MDs, PhDs, MBAs, and MScs from top-tier universities and industries who bring their clinical, technical, and economic experience to bear in tackling some of today’s most critical healthcare questions. Get in at the ground floor of our digital transformation. The combined data assets of CVS Health are massive and largely untapped. Help us revolutionize healthcare by innovating solutions to high-visibility challenges with unparalleled access to unique datasets.What you’ll doThe Retail Operations & Immunization Analytics team provides analytics based strategic recommendations on all initiatives in the pharmacy. Over the past year, this has included rolling out nationwide COVID-19 vaccines, testing, & medications at scale while maximizing health equity, provider safety, and public health priorities. We continue to stand up a robust analytics engine to optimize these ongoing initiatives and provide executive reports for internal leadership & government leaders. Upcoming activities include rolling out critical initiatives to optimize immunizations and pharmacy product delivery, building a comprehensive analytics platform across all CVS pharmacies & providers, and improving store service levels for our customers.  The team wields cutting-edge analytics and data science techniques to improve the efficiency and effectiveness of our immunization and retail store operations. If you are a hands-on doer who enjoys an entrepreneurial working environment, join us as a Senior Data Scientist.  In this role, you will help manage and execute a portfolio of predictive modeling, forecasting, optimization, and evaluation projects. You will serve as an internal expert to business teams within our Retail Health business, to help them harness the power of data to answer mission critical problems and develop new and innovative products. You will report directly to the Lead Director of Data Science for Immunization and Public Health Analytics, while working together with a team of Data Scientists, BI developers, and analytics consultants. There is an option to be fully remote. In any given day, you will• Apply experience from strategy consulting and data science to successfully act as the owner for analytics and research initiatives • Collaborate with business partners to understand key drivers of value, as well as challenges and goals for new products and their implications for public health• Identify opportunities to translate business needs into data science solutions and develop actionable insights to address key challenges in healthcare and pharmacy care provision• Wrangle large structured and unstructured datasets from disparate enterprise databases, including prescription drug and medical claims, Electronic Health Records, retail transaction data and publicly available public health data sources.• Determine analytical approaches, modeling techniques and performance metrics to optimize and evaluate new health programs or interventions – previous projects have applied a diverse set of solutions using retrospective or prospective data analysis, including classification and targeting approaches, causal inference methods, NLP and machine learning models. • Establish workplans, timelines, and deliverables for analytics and data science projects, and effectively weigh business and technical tradeoffs• Present modeling results and recommendations to senior stakeholders, tying progress to enterprise goals. • Share insights across teams to inform collaborative efforts. Develop white papers, publications and conference presentations based on key findings from projects.
Pay RangeThe typical pay range for this role is:Minimum: 90,000Maximum: 180,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.  The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 2+ years of experience leading analyses and data-driven initiatives with a demonstrated track record of business impact and problem-solving • 4+ years total experience• 2+ years’ experience extracting data using SQL or Spark• 2+ years’ experience conducting data analyses using R or Python• Demonstrated proficiency in using causal inference, applied statistics, machine learning and predictive modeling methods • Data visualization & storytelling experience (e.g. with tools such as Tableau)
Preferred Qualifications• Experience using advanced analytics tools to combine large data sets from multiple data sources and analyze them in a big data environment (such as ADL, Snowflake, DataRobot)• Healthcare sector or public health experience• Proficient in working with healthcare claims data• Strong ability to communicate technical concepts and implications to business, policy, and public health audiences
Education• Bachelor’s degree in quantitative field, such as statistics, economics, data science or computer science. • Graduate degree in a quantitative field or MBA with a quantitative focus strongly preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.  Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Senior Behavioral Scientist

About the team
The Behavioral Science team sits within a multidisciplinary team of researchers, Zillow Research & Insights (ZRI), which includes Customer and Partner Insights Strategists, UX Researchers, Behavioral Scientists, and Population Scientists. We all play a significant role within the greater product and marketing organizations. ZRI sits within Zillow Experience Design (ZxD), a fast-paced, collaborative, and driven product design team. We’re a tight-knit, fun-loving, and upbeat group.
We are dedicated to improving the home buying and selling process through the application of behavioral science theory. We seek out and validate exciting new ideas using primary research.
We care deeply about solving problems for real people – customers, co-workers, and everyone else. We seek to make everything a little better than we found it.
About the role
As a senior behavioral scientist, you’ll drive quantitative research and provide our data-hungry team with actionable insights addressing customer and business needs. Our mission is to make Zillow the most-loved place to discover, buy, sell, or rent a home. If you enjoy working across functions and want to be involved in some of the company's biggest initiatives, then this job is for you!
Responsibilities
Combine behavioral science theory with advanced research designs and statistical methods to investigate and tackle ambitious business and customer problemsLead quantitative research through the entire research cycle (e.g. ideation, design, analysis, dissemination)Work closely with product managers, marketers, designers, and engineersPresent actionable findings, engage partners in research, and influence them to take actionLead multiple projects independently, prioritize business objectives, and deliver high-quality work on timeContribute, learn, grow, and have fun!
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $134,800.00 - $215,300.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Applicants should have a PhD or MA in a behavioral science field (behavioral economics, cognitive or social psychology, information sciences, marketing or a related field)2+ years leading experimental and quasi-experimental research in an industry setting or 5+ years with MAExpertise in statistical inference, including advanced methods (e.g., NLP, longitudinal regression methods, machine learning)Expertise with survey design and analysis (specifically for the purposes of experimental and/or quantitative analysis) and experience applying advanced experimental research designsProficient with data analysis using R, Python, or similar, and experience with SQLSkilled at identifying and translating business needs into research projects and moving projects from an idea through to actionable data-driven recommendationsExperience prioritizing research activities to deliver practical insights and direction quicklyStrong informal and formal communication skills. A cross-functional collaborator.
Here at Zillow, we value ALL candidates with a diverse set of backgrounds, experience, and skills. If you have experience and meet at least some of the criteria, we encourage you to apply!
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Principal Data Scientist

About the team
Zillow Group’s mission is to give people the power to unlock life's next chapter. The Customer Conversion AI team builds models that enable smarter products and deliver strategic insights that help customers transition from browsing to successfully buying or selling a home.
Zillow, the top real estate website in the U.S., is building an on-demand real estate experience. Whether selling, buying, renting or financing, customers can turn to Zillow to find and get into their next home with speed, certainty and ease.
About the role
This role will employ a variety of machine learning and data science methods with a specific focus on stochastic models (namely, Markov Chains and queueing theory) to model customer journey flows as graphs with probabilistic transitions and inter-event times. You will partner with data infrastructure and engineering teams to apply consumer journey history data to answer questions around how to improve customer experience and drive operational efficiency. Insights derived from your work will guide the design of processes that reduce customer friction and increase transaction conversion. You will mentor and influence other scientists in the organization adopt new methods, new tools and new problem framing paradigms in their work.
You will get to:
Build out a Markov Chain (experimenting with varying levels of memory and time discretization) of customer journey while engaging with ZHL.Build out the corresponding network of service queues to the Markov Chain to estimate metrics such as throughput-rate, inter-event times and staffing level efficiency as a measure of customer experience and friction.-  Collaborate with data architects and data engineers to drive data design decisions for how we gather, model and use customer journey data (ex. how has someone interacted with the site or with various operational steps) to model their flows through processes like Zillow Home Loans and the seller experience. Additionally, you will contribute to the computable journey map (the ZHL Soft credit POC) and have opportunity to work with graphical causal inference (the PyWhy/DoWhy) frameworkLeverage large, multi-modal datasets of online and offline customer data to identify and solve customer challengesPartner with multi-functional teams such as mortgages, agent products, buyers, and sellers to solve the most exciting modeling problems.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $165,600.00 - $264,500.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
At Zillow, we are a group of curious and ambitious problem solvers passionate about all things real estate, and we hope you'd be excited to help consumers make one of the biggest decisions of their lives. Help us guide our business into the future with powerful insights and recommendations! We are always learning and experimenting with new approaches. We're seeking a data scientist with the following qualifications:
A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar)Experience with stochastic models (focus on discrete time Markov Chains, queueing theory, service operations) and data modeling with dbt, especially with applications in loans and/or customer service5+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving.Proficiency in SQL, and either Python or R, along with some experience with Tableau, Mode, or other visualization softwareSuperb verbal and written communication skills with the ability to distill sophisticated issues and detailed analysis into simple, structured frameworks with concrete action plansAble to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Data Scientist Invoices

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
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. With support from the Invoices Data Science Lead, you will lead experimentation & growth plans, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Invoices product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply 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 mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop 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 building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and 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 business and product initiatives focused on growth and retentionFamiliarity with Marketing analytics and experimentation
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.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, 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.
Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Lead Data Scientist Zynga Games

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an experienced Data Science Lead to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role is focused on leveraging our first-party data from Zynga and Take Two to improve the performance of our platform for mobile advertisers, and will partner closely with our data and platform engineering teams to prototype and deploy new signals in our bidder.
Impact you will make:

Explore and develop expertise with cutting-edge infrastructure for model development, deployment, and observability
Build a team of motivated, resourceful data scientists working on a business-critical and highly visible product
Produce new methods and workflows for leveraging first-party data sets
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with game studios and advertisers on the delivery of results

Who you are:

BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5+ years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
1+ years of Data Science or Software Engineering team leadership experience
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience working with large-scale data sets across a variety of data sources
Track record of clear communication, successful project management, and collaboration with product or business teams

The following experience would be a plus:

Hands-on with deep learning in production pipelines
Ad Tech or Mobile game industry

Perks:

Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely
Private health insurance
Life insurance
Optical complement for glasses or contact lenses
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Director Data Science

About BlueLabs
BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the team
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About the role:
The Director of Data Science will be responsible for leading in all aspects of BlueLabs’ modeling work and experimental and causal inference work, including statistical methodology, validation, and innovation. This person will manage the process, analysis and execution of modeling and experimental design and guide our Data Science team’s efforts, translating them for other clients and projects. This leadership position will directly manage a team of data scientists and have experience coaching, guiding, developing, and mentoring a team.
In this position, you will:
Lead on modeling methodology, including the introduction of new and innovative solutions to existing problems, as well as the methodology of causal inference and experimental design
Build and maintain team-wide statistical best practices for the execution of our research projects
Manage a team of 10+ data scientists and analysts
Create and deploy team-wide standards for the development, assessment and QC of our core processes and functions
Partner with our Client Solutions team to plan and execute models and research designs including developing proposals on the feasibility of modeling and/or experiments
Develop and implement training and professional development programs for the Data Science team to continuously improve and grow team members’ skill sets, implementation and refinement of  statistical methodology, and the vetting and incorporation of new techniques
Coordinate with team members within and across-divisions on the surveys that will inform the modeling and research efforts
Ensure that research adheres to statistical rigor
Advise on other research priorities for clients such as message testing and qualitative research
Lead BlueLabs internal research on modeling best practices, validations and techniques
Work alongside our Client Solutions and Insights teams to allocate staff time and resources to accomplish client deliverables
Act as the internal authority on new research in the community

What we are seeking:
Bachelor’s degree in a related field with statistical background
5+ years’ experience in varying aspects of statistical modeling and causal research including the deployment of models in a real world setting
2+ years experience leading, coaching, developing, and working with technical teams
Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Demonstrated experience defending statistical methods and detailing their implications as well as manipulating different data sets to identify clear insights
A strong sense of process, organization, and collaboration
Experience with programming languages such as Python and SQL and statistical software such as R, SPSS, etc.
Proven success conducting data analysis on tight deadlines where the problem is unstructured, or the guidance is open ended
Expertise in various spreadsheet and presentation softwares including, but not limited to, Excel, Google Sheets, PowerPoint, and Keynote
Passion for harnessing data-driven solutions to improve social outcomes and dedication to finding the best solutions for our clients and stakeholders
A keen sense of clear design and attention to detail, with the ability to recognize patterns and to check assumptions - whether they are your own or someone else’s
Ability to distill requests with a lot of detail down to the most important points and find the most relevant information in a sea of facts

What recruitment looks like:
The process for this position will include an HR phone screen, a technical assessment, and two virtual interviews. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied.  We often look for explanations of "how or why" so it's helpful to have details ready.

What We Offer:
The salary range for this position is $130,000-$160,000.

BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!

While we have an office in Washington, DC, we are open to considering candidates from within the U.S.

To protect the health and safety of our workforce, as a company policy, BlueLabs strongly encourages all employees to be fully vaccinated against COVID-19 prior to beginning employment. BlueLabs adheres to all federal, state and local COVID-19 vaccination regulations. Except where prohibited by law, applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment; if not the offer may be rescinded or employment terminated. BlueLabs will evaluate requests for reasonable accommodations for applicants unable to be vaccinated due to a religious belief, disability or pregnancy on an individualized basis in accordance with applicable laws.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)


Fellow Data Science

About BlueLabs
BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About The Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About The Role:
Fellows will be provided a chance to work directly with data scientists, strategists, analysts, and client leads on meaningful, hands-on work, while being guided and supported by their manager. Fellows will also be expected to complete a capstone project as part of their program with BlueLabs.

The Data Science Fellow will work with our team to help our clients harness their data to improve and test their outcomes.

The Data Science Fellow will work with BlueLabs for 12 weeks at 40 hours per week, from June 5, 2023 - August 25, 2023.

In this position you will:
Find new and innovative ways to apply new and existing data to our work
Help expand our Influencers product including identity resolution and network analysis
Assist in the creation, maintenance and improvement of our internal tools that power things like our polling operations
Perform rigorous data cleaning and analysis to inform our work across our political, non-profit and corporate projects
What We Are Seeking:
Genuine passion for working with a progressive social impact organization
Familiarity with a coding language such as R or Python - SQL is a plus!
Familiarity with general statistical concepts and best practices
Interest or experience in creating informative and engaging data visualizations
Interest or experience in applying foundations of statistics in a work or project setting
Ability to communicate technical concepts to a non-technical audience both in writing and verbally

What We Offer
BlueLabs offers a friendly work environment and competitive benefits package including:
premier health insurance plan
paid time off
professional development & learning stipend
flexible working hours
remote/telecommuting options
and more!

BlueLabs is willing to complete paperwork for successful candidates who are students and are interested in earning academic credit for the fellowship experience with us.

The compensation for this role is $25 per hour, at 40 hours per week.

To protect the health and safety of our workforce, as a company policy, BlueLabs strongly encourages all employees to be fully vaccinated against COVID-19 prior to beginning employment. BlueLabs adheres to all federal, state and local COVID-19 vaccination regulations. Except where prohibited by law, applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment; if not the offer may be rescinded or employment terminated. BlueLabs will evaluate requests for reasonable accommodations for applicants unable to be vaccinated due to a religious belief, disability or pregnancy on an individualized basis in accordance with applicable laws.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)


Srdirector Checkout Product Data Science

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

When applying for a job you are required to create an account, if you have already created an account - click Sign In.Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account:
Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name.Please avoid using fully capitalized text for your First and/or Last Name.NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID.
Job Description Summary:
This leader will oversee analytics for PayPal’s flagship product – Checkout. As the leader of a global team, the Sr. Director, Checkout Analytics will provide exceptional services, recommendations and vital insights to PayPal’s Product and Technology organization which will drive the overall strategy and direction.
Organizationally, this executive will oversee a global team comprised of Data Scientists and Quantitative Analysts within the Consumer Analytics and Data Science organization which is part of the Global Analytics & Data Science team. This organization is designed to align to and support senior level executives across PayPal and is comprised of sub-teams around the globe. The Sr. Director, Checkout Analytics will have the opportunity to shape the role and composition of this team in-line with the team’s mandate to deliver world-class service as the global analytics and data science function for all of PayPal.
Job Description:
The Sr. Director, Checkout Analytics will focus on advancing his/her teams’ capabilities, creating a “best-in-class” analytics framework, integrating cutting-edge solutions, and developing close partnerships with business stakeholders. In so doing, s/he will ensure the Global Analytics & Data Science organization enables business growth through highly- relevant and advanced product performance insights and recommendations that inform sound decision-making and drive distinctive value to PayPal’s customers. This executive will develop an outcome-oriented strategy incorporating differentiated tactical solutions. Key responsibilities for this role include:
Partner with business leaders to develop and drive actionable insightsCollaborate with product, finance, and other domains in order to shape differentiated analytical services and solutions that benefit the businessServe as a bridge between product, finance, and other functional areasDevelop strategy and tactical solutions for advanced analytics capabilities that ensure PayPal is making data-driven decisionsPrioritize analytics and delivery initiatives and build a trusted, business-oriented, and highly- capable organizationAttract, retain and develop a world class analytics team across a global footprint
Candidate Profile
The ideal candidate will have strong executive presence with a proven track record in analytics and data science, with an outstanding reputation for having been a driving force in delivering insights for competitive advantage. The successful candidate will have:
Experience shaping business decision-making and impacting the business on a strategic-level through the delivery of best-in-class analysisExperience building and leading analytics teams in a high-touch consumer-oriented environmentExperience across product, business intelligence, and other analytics domainsExperience developing high-performing teams and building trusting relationships with business stakeholders
In terms of the performance and personal competencies required for the position, we would highlight the following:
Strategic Capabilities: The successful candidate will optimize analytics to drive insights and strategic direction across product, finance and related functions. S/he will demonstrate impressive intellectual horsepower and critical thinking skills which can be accretive to the existing senior team. The ideal candidate will apply pragmatism and sound judgement to business issues and be able to quickly integrate complex information, a thorough understanding of customer segments, and different points of view into solutions. S/he will exhibit a highly disciplined approach to developing and executing analytic initiatives that reflect broader business objectives and be able to incorporate key inputs from multiple stakeholder groups. Intellectual curiosity should exude from this person – S/he should be able to find stories in the data and ask the right questions.
Analytics Capabilities: The successful candidate will understand how to identify insights by combining information derived from analytics and business knowledge. S/he will leverage a holistic view of testing and data assets to deliver a compelling enterprise vision for how advanced analytics can contribute to optimizing customer experiences, product performance and critical corporate KPIs. S/he will have a firm grasp of business fundamentals and will apply rigorous analytics to address complex business challenges.
Leading Teams & Relationship Building: This executive must be a dynamic, self-aware and humble leader whose track record buys immediate credibility across a diverse business. S/he will also be an inclusive leader, able to grow a team (internally and externally), inspire others, and engage directly with the business. The ideal candidate will have exceptional influencing skills, adept at driving organizational change through the appropriate mix of partnership, collaboration and leadership. This person will have a record of building high trust relationships in an organization. S/he has a proven collaborative approach and openly shares information and is receptive to the ideas of others. Key criteria include:
Excellent people and stakeholder management skills, to include strong influencing skills and ability to navigate a global and matrixed organizationStrong passion and commitment for attracting and developing talentOutstanding problem-solving skills, with strong ability to drive towards action and impactDemonstrated ability to drive business value through research, insights and measurementAbility to lead through ambiguity and changeStrong affinity to the consumer tech and/or financial services categoryMastery in analyzing product data (complex and multi-dimensional data sets)High-energy and self-driven orientation
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$131800 to $319000
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.


Data Science Mng Marketing Analytics

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

When applying for a job you are required to create an account, if you have already created an account - click Sign In.Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account:
Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name.Please avoid using fully capitalized text for your First and/or Last Name.NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID.
Job Description Summary:
Our Marketing Analytics transformation is in full swing. We embarked on a path of transforming and building a world class Marketing Analytics Org recently. Our team helps to power PayPal’s high growth Marketing organization by delivering actionable insights and business intelligence to Consumer Marketing Org for our 200+ million customers.
Job Description:
In this role, you will lead a workstream solutions for complex, ambiguous and high-visibility business challenges. You will set and execute on a vision that reflects your deep analytical expertise. You will be a thought partner to Marketing leadership teams.
You will partner with these teams to understand the insights they require to manage and grow their business and leverage cross-functional teams to develop and land solutions that meet their needs at scale. You are deeply curious and persistent in gaining knowledge about our products and go-to-market strategy.
You will have exposure and visibility to PayPal Sales, Product, Finance & Market Insights teams, as you work with them to create a holistic solution to Marketing problems. We are a team of entrepreneurial, enthusiastic, and client-focused members.
If you are a fast learner, are willing to learn and grow, have a can-do attitude, and wants to solve problems in the most pragmatic way You are curious and inquisitive: love digging into data and uncovering insights You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling You are familiar with data science and machine learning techniques to improve product experiences You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance
You are a fun-loving, adventurous team player; we would like to talk with you.
Additional Job Description:
The successful candidate will be responsible for providing data-driven insights including but not limited to Business casing, Deep dives, Modelling, Campaign Performance readouts and optimisation.  The Manager will also be responsible for delivering accurate, action driving recommendations to drive business performance and investment optimisation. This is a people Manager role with heavy Individual contribution on Strategic projects. Manage multiple analytical projects at a time, in a fast-paced, intense, and results-oriented environment Influence stakeholders to make business decisions in alignment with global measurement approaches
Requirements
Degree in Statistics, Mathematics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics 5+ years of experience in analytics, data science or management consulting or equivalent analytical and project management experience Accomplished Contributor, with experience managing high-performing Data Scientists and Quantitative Analysts
Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams Exceptional problem-solving skills, with strong ability to drive towards action and impact Experience in managing analytics projects from inception to delivery, including developing structured solutions Experience with visualizations, dashboards, and reports Experience with data modelling, machine learning algorithms, and data science techniques.  Hands on experience of Python, SQL & BigQueryExperience explaining technical concepts and analysis implications to varied audience and translating business objectives into analyses
Experience explaining technical concepts and analysis implications to varied audiences and translating business objectives into analyses
Subsidiary:
PayPal
Travel Percent:
0
-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$84500 to $204600
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.


Data Scientist Machine Learning

The LeaseQuery Data Science and Machine Learning team builds the machine learning services that power features across LeaseQuery’s suite of lease accounting products. This is a role where you will get experience building a range of production machine learning models providing value to real users. The Data Scientist that we hire will be charged with developing new machine learning models, maintaining and improving models already in production, and other data-related tasks required to make ML happen at LeaseQuery. You will work closely with our MLEs, developers, devops, product, and UX teams, among others, to help create ML-driven product features. Additionally you will work with other teams at LeaseQuery on data-centric projects to help us succeed across the board.

We value experience, but even more important to us is the willingness and ability to continuously learn, as DS/ML is constantly evolving. We are looking for great teammates, who are nice people and happen to be extremely good at what they do.

What you will be doing

ML model development and maintenance
Data wrangling for ML
Data analysis for ML and reporting
Working with Product and other Engineering teams to integrate our ML features and services with our broader product
Working with internal teams across the company to identify and solve problems amenable to DS/ML solutions
Learning new DS/ML techniques and best practices, as well as subject matter related to LeaseQuery's business

What experience and skills we need you to have

This is an entry level / early career role
Strong foundations in ML concepts, as demonstrated by previous work in ML and/or coursework in ML
Strong understanding and experience building ML models, as demonstrated by previous work in ML or publicly available ML projects (Github, HuggingFace, Kaggle, etc)
Experience writing and maintaining code (Python) that is used by others, as demonstrated by previous work or publically available code
Ability and desire to learn new techniques, topics, and technologies as demonstrated by recent coursework, projects, or work experience

Nice to haves

Experience with the end-to-end ML process (ideation, creation, deployment, and maintenance of models) at scale
Experience with NLP models, tools, and best practices
Experience with document information extraction
Knowledge of general accounting practices or work experience in accounting
Experience with the AWS ML stack

Benefits

Flexible PTO (including 11 holidays and your birthday off)
401(k) plan with employer matching
Great health benefits with multiple plan option
Option to choose between in office, fully remote, or a hybrid work environment for all employees
Sabbatical program (4 weeks after 5 years of service)
Casual dress environment (when in office)
Catered lunches every Tuesday and Thursday
Company events each quarter
Signing stipend for a work-from-home setup
Free gym membership at our office
Annual employee development program stipend of $2,000 for each employee
Flexible parental leave with 10 weeks paid leave for ALL new parents
Fertility/adoption assistance
Annual tutoring stipend for your children
Mentorship program available immediately
Regular team outings
Advancement opportunities based on results, not politics
Culture that emphasizes inclusiveness driven by our REDI Committee

About Us
LeaseQuery simplifies complex accounting with our innovative FinTech SaaS technology. Our products, used by more than 3000+ organizations in 87 countries, are top rated for user satisfaction and ease of use by G2, and our company has appeared on the Deloitte Technology’s Fast 500 list and Georgia’s Fast 40 list among many other recent accolades over the past several years.

During the past decade, our CEO, George Azih, grew LeaseQuery from a one-person company to a workforce of 350+ representing one of the fastest-growing FinTech companies today. As we move into our next phase of growth, we're looking for passionate and dedicated people who want to invest their energy to align with our company's long-term goals.

LeaseQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, disability, and veteran status. LeaseQuery maintains a drug-free workplace.


Data Scientist Auto Finance

About the Role
Caribou is looking for a data scientist with 5+ years of experience in data science, quantitative modeling or machine learning. As a data scientist, you will partner with cross functional teams to deliver model solutions to credit acquisition initiatives. You will create and maintain the code, models and documentation and investigate issues and opportunities. In addition:

Present results to peers, leadership and partners
Work cross functionally with teams to explain key performance drivers
Develop process to validate and backtest models
Incorporate testing into models for recommendations to improve initiatives

About You
As a data scientist, you have experience working with statistical techniques such as regression, boosting, GLM and random forest. You are fast and effective at problem solving and able to identify model solutions to business problems. In addition:

A degree in a quantitative field, preferably computer science, math, economics, statistics, finance, or engineering
5+ years of experience in a data science role in the technology or finance space
Experience developing model solutions in financial services
Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.)

Experience in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas)

Demonstrated ability to explain and visualize complex data science techniques to non technical audiences
The ability to break down and solve large unstructured problems
Independent thinker and self starter

How we will take care of you

Competitive base salary of  $110-$140k annually
Equity in a high growth startup
Fantastic health, dental, vision, and mental health insurance, where we cover 100% (yes, 100%!) of the premium for you and your family, and a generous PTO plan
Company-paid for short & long term disability insurance and basic life insurance
Optional benefits include HSAs, FSAs, voluntary life insurance, and pet insurance


Senior Manager Data Science

Who is Flock?
Flock Safety provides the first public safety operating system that empowers private communities and law enforcement to work together to eliminate crime. We are committed to protecting human privacy and mitigating bias in policing with the development of best-in-class technology rooted in ethical design, which unites civilians and public servants in pursuit of a safer, more equitable society.
Our Safety-as-a-Service approach includes affordable devices powered by LTE and solar that can be installed anywhere.  Our technology detects and captures objective details, decodes evidence in real-time, and delivers investigative leads into the hands of those who matter.
While safety is a serious business, we are a supportive team that is optimizing the remote experience to create strong and fun relationships even when we are physically apart. Our flock of hard-working employees thrive in a positive and inclusive environment, where a bias towards action is rewarded. Flock Safety is headquartered in Atlanta and operates nationwide. We have raised over $380M in venture capital including a recent Series E round led by Tiger Global.  Now surpassing a 3B valuation, Flock is scaling intentionally and seeking the best and brightest to help us meet our goal of reducing crime in the United States by 25% in the next three years.
Additional Information

How To Succeed at Flock Video
Flock’s Series E Announcement

How We Stop Crime and Protect Privacy
Flock’s Framework
Ethics Center

The Role
As Senior Manager, Data Science, you will lead cross-departmental projects to explore, mine, and analyze data, and leverage it using advanced analytical techniques to prescribe solutions to critical business problems.
How you’ll make an impact:

Lead efforts around analyses on large datasets using statistical and AI techniques to derive insights
Design and build seamless decision support tools that leverage advanced analytical techniques, with an ability to identify/drive both simple and complex technical solutions
Understand and augment key data sources to be leveraged in decision making
Work with teams from across the business to execute on data and analytics needs to help them better understand tactical and strategic opportunities
Partner with system owners, Data Engineering, and Data Architecture teams to drive projects to capture and/or define new data needed to improve Data Science opportunities
Work directly with senior leadership to understand opportunities to drive value, and lead end-to-end design and implementation of insights and solutions
Lead a team of Data Scientists, playing the role of player/coach

We’re looking for people who have:

BS/MS in Computer Science, Mathematics, Statistics, Engineering or related field, or equivalent industry experience
5+ years proven experience as a data scientist, ML engineer, or BI engineer
2+ years leading projects and managing other analysts or data scientists
Strong experience using Python and its core AI/ML/OR packages
Strong SQL and data processing skills
Strong experience modeling data to drive analytics
Experience productionizing Data Science solutions using CI/CD and orchestration best practices
Experience in Tableau or other BI software a strong plus
Ability to communicate and drive for solutions to complex and abstract problems
Effectively communicate, and seek to understand and be understood

Feeling uneasy that you haven’t ticked every box? That’s okay; we’ve felt that way too. Studies have shown women and minorities are less likely to apply unless they meet all qualifications. We encourage you to break the status quo and apply to roles that would make you excited to come to work every day.
Our Values
Our values define how we approach our work every single day:

Do the Work
Optimism With a Plan
Embrace Change to Grow
Protect the Whole Community

To read more about our values click here.
Why Join Us?
While being surrounded by a bunch of cool people working to eliminate crime is its own reward, we have plenty more to offer:

We have raised over $380M in venture capital and are backed by some of the top VCs including a16z, Tiger Global, Meritech and more
91% of our employees recommend working here
We have an audacious goal of reducing crime in the United States by 25% over the next three years
3% of crimes in the US are solved by Flock, and we help to solve ~200 crimes a day

We partner with 2100+ cities and 1500+ agencies across the US and process 1.1B+ images a week (we process more images than Instagram 🤯)

The Perks

💰Salary & Equity: In this role, you’ll receive a starting salary of $175,000-$200,000 as well as stock options

🌴Use what you need PTO: We seriously mean it, plus 11 company holidays and your birthday off!
⚕Fully-paid health benefits plan for employees: including Medical, Dental, and Vision and an HSA match.
👪Family Leave: We provide 16 weeks of 100% paid leave for primary caregivers and 12 weeks of 100% paid leave for secondary caregivers.
🍼Fertility & Family Benefits: We have partnered with Maven, a complete digital health benefit for starting and raising a family. We will reimburse $10,000 a year for adoption, surrogacy, or infertility.
🧠Mental Health: All employees receive an annual subscription to Headspace
💖Caregiver Support: We have partnered with Cariloop to provide our employees with caregiver support
💸Carta Tax Advisor: Employees receive 1:1 sessions with Equity Tax Advisors who can address individual grants, model tax scenarios, and answer general questions.
💻WFH Stipend: $150 per month to cover the costs of working from home.
📚L&D Stipend: $250 per year to use on Audible, Calm, Masterclass, Duolingo, Grammarly and so much more.
🏠Home Office Stipend: A one-time $750 to help you create your dream office.
🏢Coworking Space: If you’re not local to our ATL HQ, we’ll provide $250 a month to get you set up with an All Access Membership to WeWork (or a local coworking space in your area).
🐾Pet Insurance: We’ve partnered with Pumpkin to provide insurance for our employee’s fur babies.

Flock is an equal opportunity employer. We celebrate diverse backgrounds and thoughts and welcome everyone to apply for employment with us. We are committed to fostering an environment that is inclusive, transparent, and collaborative. Mutual respect is central to how Flock operates, and we believe the best solutions come from diverse perspectives, experiences, and skills. We embrace our differences and know that we are stronger working together.
If you need assistance or an accommodation due to a disability, please email us at careers@flocksafety.com. This information will be treated as confidential and used only to determine an appropriate accommodation for the interview process.