Data Scientist Product

At Clearbit, we help our customers build unstoppable growth engines. Our products enable businesses to understand their customers, generate demand, act on intent, and increase conversions all the way down the funnel. Today, Clearbit powers more than 1,500 B2B companies including Asana, Segment, and Atlassian.

Are you a data scientist with aspirations of transitioning into product management? Clearbit Product Management is looking for an exceptional, passionate and customer-centric data scientist to own modeling and experimentation for one of our most valuable products - Clearbit Reveal. This is the ideal role for someone with a strong understanding of data, analytics and machine learning that would like to remain close to our data products while honing their product management skills and experience. The ideal product data scientist leverages data to design and deploy data/model tests and experiments to improve the value our customers receive from Clearbit’s products. This position is remote as Clearbit has fully transitioned into a 100% remote work environment.

As a Data Scientist at Clearbit you'll be joining a growing, impactful Product team to shape the future of Clearbit as we scale. You’ll manage the Reveal product, including running tests and experiments to improve model/algorithm accuracy. You’ll balance trade-offs between different possible machine learning algorithms or rules-based heuristics. You’ll communicate between a team of data scientists, machine learning engineers, and external stakeholders while prioritizing product roadmap and priorities that support broader company objectives and priorities.

What you will do:

As a Data Scientist (Product) at Clearbit, you will own data modeling and experimentation for Clearbit’s products.

Data science and product algorithms. Leverage product data to amplify product development. Apply data science techniques, data engineering processes, and experimentation tests to improve model accuracy.

Testing and experimentation. Apply techniques to evaluate live product data and modeled output. Design and execute various A/B and multivariate tests to shape the next iteration of the product. Evaluate the output captured in statistical analyses and translate them into insights to inform product decisions and execute product improvements.

Customer discovery and interviews. Connect with customers on an ongoing basis to clearly understand their needs and challenges. Validate ideas with customers and analyze the data to seek out the right products and strategies Clearbit should pursue.

Product requirements. Define both functional and non-functional product requirements of our AI/ML-powered solutions while being hyper-focused in solving real customer problems.

Own a pillar product roadmap. Develop a product roadmap that focuses on and prioritizes those investments that will help us achieve our overarching objectives and key results (OKRs).

Cross-functional Collaboration. Partner with teams across Clearbit to tackle customer problems. Collaborate with Design, Engineering, Sales, Product, Customer Success and others to rapidly conceptualize, prototype, market validate and launch new product ideas and innovations. Communicate both the business and technical rationale behind your decisions, with the proper fidelity needed for a given audience: customer success, product development, leadership, and customers.

Communicate and bring ideas to life. Understand and articulate common, foundational customer problems, collaborate and coordinate with internal teams and leadership, assist in go-to-market strategies, and do whatever it takes to bring an idea to life and deliver value for our customers.

 What you need to succeed:

You have practical data science experience. You have significant prior success as a Data, Product, or Decision Scientist working on challenging problems at scale with expertise in statistical modeling and/ or machine learning.

You have the required technical skills. You have experience in advanced analytics and statistics, SQL/NoSQL, Python, R, machine learning, experiment design (A/B testing, multivariate analysis), Data Wrangling/ETL, and APIs.

You have a growth mindset. You are looking to grow your career and product management experience. You can be mentored and are eager to learn agile/SCRUM product development processes and principles.

Your focus is on customer value and experience. You recognize that we can build anything but it's figuring out the right thing to build for customers—and truly understanding their challenges and problems they face—that matters most.

You're creative and curious. You can dream and brainstorm and explore the opposite perspective. You're not afraid of new or different ideas.

Technical challenges aren't scary. You've worked with complex systems, data, APIs, CRMs, and/or marketing or sales automation platforms.

You have excellent communication skills. You're as comfortable writing for and talking to customers as you are talking to leadership, design, and engineering. You know your audiences, what's important to them, and can tailor the message so it's concise and clear. You can break down complex concepts into common, easy-to-understand language for the business.

Your attention-to-detail is top notch. You're quick to catch pitfalls and potential issues, and aren't afraid to ask why or communicate your understanding of a situation. You ensure everyone is aligned and understands what matters and why.

Working at Clearbit:

We invest in personal and team growth, valuing constructive feedback, and emotional intelligence. We aim to maintain a working environment of psychological safety, where vulnerability is not a weakness, so that it's easier to take creative risks, re-define what’s possible, and grow into the best version of yourself. Your teammates will push you to grow (kindly) and ask for the same in return.
Building a company takes a physical and mental toll, which is why we think it's incredibly important to make sure that we provide benefits that focus on physical and mental health.
Our benefits include:- Competitive salary and meaningful equity- Health, dental, and vision for you and your family- Paid parental leave- Mental health resources, coaching and therapy sessions- 401(K)- Education benefits

Don’t meet 100% of the criteria, but think you can do the job? We’d love to chat anyway! We’re on a mission to build diverse teams, and studies have shown that women and folks from marginalized communities are less likely to apply to jobs if they don’t check every box.

We value and celebrate how you identify, who you love, the color of your skin, your age (at heart and on paper), the gods you do or don't believe in, and every other belief and characteristic that make you, YOU. The more inclusive we are, the better we — and our work — will be.

Clearbit is an equal opportunity employer.


Data Scientist Biostatistician

Healthcare needs good data. At PicnicHealth, we are building deep real-world datasets fueling cutting-edge research while giving patients control of their own medical record data. These complete, clinically-rich datasets produce unique insights — across dozens of diseases — to ultimately get the right treatments into patients’ hands faster. We do this by working directly with patients and leveraging state of the art machine learning to transform messy medical records into structured, research-ready datasets. To date we’ve helped tens of thousands of patients securely access their records and proactively contribute to advancing research in diseases that impacts their lives.
We’re excited to announce $60 million in funding in a Series C led by  B Capital Group. Our existing investors Felicis Ventures and Amplify Partners also joined the round, bringing the total we have raised to more than $100 million.
And we are just getting started! If you are looking to join an award winning, mission-driven, motivated team that is making a real impact across millions of people’s lives, PicnicHealth might just be the place for you.
The Opportunity
At PicnicHealth, Data Scientists on the Quantitative Research team are responsible for translating, assessing, and augmenting our Real World Data (RWD) to develop actionable insights and evidence for our life science partners. We’re seeking an experienced data scientist to join the team to deliver bespoke analytics, create internal and customer tools, and develop predictive models to improve our research data product.
As the Data Scientist  you will be responsible for:

Use PicnicHealth’s large, multi-disease multi-modal real-world dataset to answer critical clinical questions;
Become a subject matter expert on our data and its capabilities. Lead technical initiatives that further our understanding of RWD and methods to generate real-world evidence;
Transform real-world clinical data into actionable insights using data analytics, robust statistical methods, and compelling data visualizations accessible to a wide range of end-users;
Work with a cross-functional team to define and clarify analytic requirements, develop analysis plans, ensure data quality standards, and create publication-ready methods and results;
Conduct research to assess our data quality, identifying gaps and proposing solutions.
Develop and manage relationships with external partners (including life science companies, regulatory agencies, academic institutions, and health technology assessment bodies) to advance the integration of our analytic products, including through peer reviewed scientific publications.
Help continue to build a world-class [function] team, by helping attract, interview, and onboard your future team members during this exciting time of growth.

You are a great fit if you:

Hold a degree in a quantitative discipline, such as biostatistics, epidemiology, applied statistics, health economics, or a related discipline
Have least 2 years of industry experience in a quantitative/statistical position in the life sciences industry
Advanced experience with R (tidyverse) and preferably have built an R package before
Have experience working with medical data, longitudinal EMR data, and/or data ontologies (OMOP, etc.)
Are an excellent communicator, both oral and written, and can effectively adapt your tone, content, and approach to diverse audiences
Know how to balance attention to detail with execution against tight timelines. You are passionate about our patient-centric mission to improve healthcare for all

We expect all team members to be motivated to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward.
Perks & Benefits @PicnicHealth
At PicnicHealth you get to solve real problems with real solutions, great tech, and great people.
We offer a hybrid set up for our team: team members in the Bay Area can work from the SF office on a flexible schedule; remote team members are expected to travel to in-person meetings 4-6 times a year.
We strongly encourage new team members to visit the office during our quarterly "Convergence Week" to help build the context, connections, and confidence they need to be successful in this hybrid set up at PicnicHealth. (All travel related expenses on us!)
You also get:

Competitive salary
Comprehensive benefits including above market Health, Dental, Vision
Family friendly environment
Flexible time off
401k plan
Free PicnicHealth account
Equipment and internet funds for home office set up

COVID-19 Policy
We require proof of vaccination and booster for COVID-19, except those with medical or religious exemptions.
Equal Opportunity Statement
PicnicHealth is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.


Data Scientist

YOUR MISSION:  Provide the best roadside assistance experience to drivers in need and dispatch experience to our service providers.  You will build systems to forecast market dynamics, vet and test business ideas using A/B testing framework and improve machine learning algorithms.  As a data scientist, you will identify, execute, and measure improvements to our mobility platform. Working at the intersection of Product, Data Engineering, and Platform Engineering, you will develop impactful data products that shape our product strategy.
YOUR LEGACY: Your legacy is the immense contributions to the foundational machine learning systems in our data pipeline.  As an expert in our proprietary data, you developed product enhancements, strategy and supported leadership in pursuing new opportunities and identifying risks.  Your work accelerated the company's growth, reduced costs and innovated in the mobility space.  The result?  You helped Urgently become the world’s leading mobility assistance company.
WHAT YOU’LL BE RESPONSIBLE FOR:
Build best-in-class predictive models and decision tools

Identify issues and recommend testable improvements to different aspects of the business

Research & Development in transportation/roadside  industries

Prioritize and balance the data science work and the speed to market for new improvements

Develop Proof-of-Concept ideas using data, data science and human behavior to improve our business processes

Work with data engineering and infrastructure to get the data you need

Develop algorithms & algorithmic pipeline to deploy into production

Measure the impact of the improvement

Use effective project and product planning technique to distill user requirements into its manageable components

 Be a self starter and manager

Able to work independently and know when to reach out to stakeholders and teams for clarification or help

Work closely with manager and team to align work with business expectations

Communicate findings and quantify the improvements

Success metric = Everyone in the business should see what the development pipeline looks like and how it solves their issues


Data Analyst Data Science And Analytics

QuestBridge is a national nonprofit program that connects outstanding low-income students with educational opportunities that can change their lives, as well as the demographics of our nation’s leading educational institutions.
The Data Analyst position offers a unique opportunity for someone passionate about using their data and technical skills to enhance educational programs and contribute to the growth of a far-reaching entrepreneurial social venture. Our Data Analyst will be asked to clean, query, explore, and analyze data, as well as design intuitive ways to visualize data for operational insights.
Our Data Analyst will have the opportunity to collaborate with program, data, and engineering team members across other departments for thought partnership, feedback, and growth. In addition to analytical skills, this position has a strong focus on rigor, communications, and project management. If you will enjoy applying your skills to data projects in a fast-paced environment to contribute toward QuestBridge’s mission, we look forward to reviewing your application!
Role and Responsibilities
Success of this role is defined by achieving the following:

Accurate and efficient implementation of data operations related to our careers, alumni, graduate partnerships, and other programmatic efforts
Detailed understanding of data used in all analytics projects (including visualizations that help others gain clarity for decision-making)
Well-documented code that current or incoming analysts can build upon
Timely and relevant analyses and reports for operational use
Completion of complex reporting and analysis requests
Creation and maintenance of documentation of QuestBridge data and data processes
Periodic record consolidation and data cleaning in collaboration with other data-oriented staff
Ability to support any data-related operational tasks across the organization
Travel to events to interact and support students and apply these experiences to continuously improve programming
Read and evaluate student applications for the College Prep Scholars Program, National College Match, and other various opportunities
Other duties, as assigned

Minimum Qualifications

Relevant work experience of at least 2 years
Analytical thinking on how data can support program management
Experience working with multiple sources of data
Ability to leverage code to conduct data cleaning, data wrangling, and analyses
Familiarity with some or all of the following:

SQL
Python (Pandas, Scikit Learn, etc.)
R
Git
Statistics

Exceptional attention to detail
Strong written, and verbal communication skills
Ability to track, manage, and implement multiple projects from start to finish (organizing bandwidth, workflows, and multiple deliverables for on-time delivery) in fast-paced environment
Ability to incorporate feedback
Track record of taking initiative
Passion for QuestBridge’s mission

Preferred Qualifications

Bachelor’s Degree in Computer Science, Statistics, Economics or another quantitative field or relevant experience
Experience working with data in the education sector
Track record of producing analyses that result in meaningful decision-making
Experience increasing efficiency of processes, and automation of analyses and reporting
Experience using CRM platforms and application

Compensation
Competitive compensation is commensurate with experience and skills for the position.
Hours and Location of Work
This is a full-time position remote within the US. Employees will be expected to be engaged online and travel approximately once per quarter.
Application Process
Please include a thoughtful cover letter with your application, and a sample of past data-related projects and any relevant code from the project. Apply Now!
Thank you for your interest in employment with QuestBridge. QuestBridge is an equal opportunity employer.


Analytics Manager Data Science And Analytics

QuestBridge is a national nonprofit program that connects the nation's brightest students from low-income backgrounds with leading institutions of higher education and further opportunities.
The Analytics Manager position offers a unique opportunity for someone passionate about applying their data, and management experiences to enhance educational programs and contribute to the growth of a far-reaching entrepreneurial social venture. Reporting to the Director of Data Science and Analytics (DSA), this person will manage projects and people, and execute on data-related operations and initiatives, often working across multiple teams at QuestBridge.
Our Analytics Manager will have the opportunity to collaborate with program, data, and engineering team members across other departments for thought partnership, feedback, and growth. In addition to data science and analytics experience, this position requires a strong focus on rigor, communication, project management, and systems-thinking. If you will enjoy applying your skills to data initiatives that fuel QuestBridge’s mission, we look forward to reviewing your application!

Role and Responsibilities

Success in this role is defined by achieving the following:

Well-documented code that others can easily reuse and/or build upon
Timely and relevant analyses and reports for operational use
Completion of complex reporting and analysis requests
Creation and maintenance of documentation of QuestBridge data and data processes
Successful management of multiple priority areas (College Programs, Alumni Programs, and others) and team members to achieve strategic and programmatic objectives and key results
Improvements in QuestBridge’s data consistency, accuracy, and usage
Detailed understanding of all relevant internal, and external data related to priority areas
Periodic record consolidation and data cleaning in collaboration with other data-oriented staff
Ability to support data-related operational tasks across the organization
Travel to events to interact and support students and apply these experiences to continuously improve programming
Read and evaluate student applications for the College Prep Scholars Program, National College Match, and other various opportunities
Other duties, as assigned

Minimum Qualifications

Relevant work experience or training of at least 4 years
Demonstrated experience working in a centralized role that requires collaboration with many teams across a given organization
Previous success in leading data initiatives for impact (scoping, managing stakeholders, visualization, insights, improved decision-making)
Ability to leverage best coding practices to conduct data cleaning, data wrangling, analyses, and build data products
Familiarity with some or all of the following:

SQL
Python (Pandas, Scikit Learn, etc.)
R
Git
Statistics
Functional programming

Exceptional attention to detail, with ability to maintain focus on the larger picture
Strong written, and verbal communication skills
Ability to manage multiple projects from start to finish (organizing bandwidth, workflows, and multiple deliverables for on-time delivery) in fast-paced environments
Ability to incorporate feedback
Track record of taking initiative
Passion for QuestBridge’s mission

Preferred Qualifications

Master’s Degree in Computer Science, Statistics, Economics or another quantitative field or equivalent experience
Experience working with data in the education sector
Experience increasing efficiency of processes, and automation of analyses and reporting
Experience using CRM platforms and application

Compensation
Competitive compensation is commensurate with experience and skills for the position.

Hours and Location of Work

This is a full-time position remote within the US. Employees will be expected to be engaged online and travel approximately once per quarter.

Application Process

Please include a thoughtful cover letter with your application, and a sample of past data-related projects and any relevant code from the project. Apply Now!
Thank you for your interest in employment with QuestBridge.
QuestBridge is an equal opportunity employer.


Data Scientist Argentina

About the role
Andela’s two-sided marketplace is a multifaceted hub of experienced talent and leading companies with exciting challenges related to pricing, matching, marketplace health, go-to-market campaigns and many others. Data Science is a key weapon at Andela to attack these problems. We employ a wide variety of approaches including but not limited to system dynamics and simulation, machine learning on both structured and unstructured data, recommendation algorithms, and combinatorial optimization. A Data Scientist at Andela will be involved in building ground breaking solutions often embedded in products serving both the marketplace and various business functions. You will be defining solution architecture, crafting the appropriate machine learning / optimization / experimentation model and guiding the execution of this model in collaboration with the Andela data, engineering and product teams.
Responsibilities:

Work with the Principal Data Scientist and other business partners to identify problem domains and corresponding data science approaches
Develop the Minimum Viable Product (MVP) version of the solution
Deploy the solution in production in collaboration with the data, engineering and product teams

Requirements:

Graduate degree (MS/Ph.D.) in quantitative field such as Economics / Statistics / Operations Research / Computer Science
2-3 years work experience applying quantitative methods to business problems
Flexibility in working with a variety of data science approaches
Hands-on with coding, Python strongly preferred
Nice-to-have: proficiency in mathematical modeling

#LI-MV1


Data Science Manager

Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.

Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.

Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!

We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.

Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.

Using data science we are developing a platform to help facilities managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical - for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients.

We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset.

In the Data Science Team We:

Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud
Collaborate with other domains of the business such as DevOps, front- and backend-development teams, sales, and product development
Experiment with new technologies to harness an unparalleled dataset through innovative ideation
Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability

We Look For:

A strong academic background grounded in mathematics and statistics, or equivalent work experience
A fluent level in Python
A self-directing attitude and a growth mindset
Experience innovating new machine-learning products for real-time event-driven applications is desired
Always a preference for the 80% solution in production over the perfect solution on a laptop
A keen interest in product development and awareness of commercial factors
Experience deploying machine learning models in production environments is required
Demonstrated success in a line management position is required

What You Would be Doing:

Line management, training, coaching for your immediate reports as well as the wider team
Championing good software design and code quality through code reviews
Regular setting of goals and working to ensure good alignment across the various software development teams in the company as well as product development prioritisation
Owning planning and implementation of projects over the course of a quarter and beyond
Implementation of software solutions; whilst reduced owing to the focus on management there is still an expectation of impact through software and model development

We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but:

❤ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.
🤸 We’re flexible: We encourage remote working and offered flexible working hours before COVID and we’ll keep that flexibility afterwards.
📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here.
🌟 Improve yourself: We give everyone a day per month to focus on personal development.
🧑🏽🤝🧑🏽 Make friends: Everyone here is lovely.
🏠 Added bonus: We give everyone options in the company.
🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.

And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.


Data Scientist

HouseCanary is creating a more efficient real estate marketplace, where its trusted property valuations help consumers and investors enjoy a frictionless experience in buying, financing, and improving their homes. By working directly with institutional investors, HouseCanary already powers more than $200 million in real estate transactions each month. Through partnerships with leading financial institutions, HouseCanary’s ComeHome platform will enable consumers to close on more than $100 billion of real estate transactions this year. HouseCanary recently raised $65M in Series C funding as our team continues our hyper-growth. Founded in 2013, HouseCanary has built its reputation on developing unique analytics for the $30.7 trillion residential real estate market, based on big data and refined through machine learning. By combining this technology with its nationwide brokerage, HouseCanary is uniquely positioned to connect investors and consumers alike to the information that they care most about in an effort to modernize and streamline the home buying and home ownership process.

We are recognized on Built-in's Best Places to Work, including:
Colorado Best Places to Work
Colorado Best Midsize Companies to Work For
Colorado Best Paying Companies
SF Best Midsize Companies to Work For
We are Inc. Magazine's Best Workplaces Honoree 2022

We’re seeking a passionate Data Scientist to help develop and implement best-in-class analytical models used to power HouseCanary products.

What you'll do:

Help product managers, stakeholders, and data analysts derive the most value out of research models, algorithms, and discoveries by communicating research output in an easily digestible fashion
Aid in communicating research outputs to potential and current clients
Define, build and own statistical and machine learning models, algorithms and bodies of research
Collaborate with data engineers to integrate models and various research initiatives into HouseCanary products
Derive new key performance metrics for measuring model performance and stability
Evaluate new data sources for quality and core model impact

What you have:

Undergraduate degree in statistics, mathematics, economics, engineering or another quantitative discipline
At least one year of model building experience or experience implementing models in a real-world application
Advanced knowledge of one or more programming languages.  At least one of these being R and/or Python is required
Intermediate knowledge of SQL is required

Special consideration for:

Knowledge and experience in the residential real estate market
Experience interacting with external clients in an analytics-oriented role

We strongly encourage people of color, women, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. HouseCanary is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.  In your application, please feel free to note which pronouns you use (For example - she/her, he/him, they/them, etc).


Data Scientist Square For Retail

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
From the cozy local wine store to the trendy sneaker pop-up, the Retail team at Square is equipping retail sellers with simple solutions to complex problems - like predictive analytics and fluid, omni-channel capabilities to meet customers wherever they are. Square’s mission is economic empowerment, and Data Scientists support this by using data to understand and empathize with our customers, thereby enabling us to build a remarkable product experience. You and your fellow data science & analytics teammates on the Retail Analytics team are embedded within product and marketing sub-teams (“squads”), leveraging data engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development.
You will:
Partner with the product, design, and marketing stakeholders to identify, prioritize, and answer the most important questions where analytics can have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick heuristic or visualization) are preferable to complex solutions (e.g. machine learning)Contribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at SquareProvide comprehensive day-to-day analytics support to partner teams, developing tools and resources to empower data access and self-service so your advanced expertise can be leveraged where it is most impactful
Qualifications
You have:
2+ years of analytics experience Fluency in SQL, with experience exploring and understanding large, complex datasets & data systemsExperience working with technical and non-technical partners, such as product managers and product marketing managersExperience with statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, clustering user archetypes, or predicting churnVery strong communication skills: ability to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written mediaExperience maintaining a backlog and performing independently
Even better:
Experience with a BI tool such as Looker or Tableau Experience with data warehouse design, development and best practicesA degree in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
Technologies we use and teach:
SQL (Snowflake)OptimizelyAirflow (ETL)Looker, Amplitude, TableauPython (pandas, scikit-learn, etc.)
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Square Debit Card

Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
Square Debit Card launched in January 2019 as the newest product to serve sellers' cash flow needs, offering them free, instant access to their card processing sales. The business debit card has grown at a strong clip over the last three years, and it is now a core part of the suite of cash flow products we are building out. As a Data Scientist, you will be embedded within the Debit Card product team, leveraging data engineering, analytics, statistics, and machine learning to empower data-driven decision making in the full life cycle of product development. In this role, you will collaborate closely with product managers, designers, engineers, and other cross-functional team members to ensure that our cash flow products amaze and delight sellers.
You will:
Partner with product, design, and marketing stakeholders to identify, prioritize, and answer the most important questions where analytics can have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick heuristic or visualization) are preferable to complex solutionsContribute to the data strategy of product engineering, influencing engineers to make well-informed architecture and design decisions that affect data at SquareProvide comprehensive day-to-day analytics support to partner teams, developing tools and resources to empower data access and self-service so your advanced expertise can be leveraged where it is most impactful
Qualifications
3+ years of analytics experience and a Bachelor's degree or equivalentFluency in SQL and familiar with a scripting language like PythonExperience exploring and understanding complex datasets and data systems, leveraging statistical and machine-learning techniques to solve practical business problems such as hypothesis testing, cross-selling, clustering user archetypes, and predicting churnExperience working with technical and non-technical partners, such as product managers and product marketing managers, on product development and growth initiativesStrong communication skills: ability to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written media[Bonus] An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical field[Bonus] Background with banking products, such as credit card or debit card
Technologies we use and teach:
SQL (Snowflake)OptimizelyAirflow (ETL)Looker, Amplitude, TableauPython (pandas, scikit-learn, etc.)
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Sr Product Data Scientist

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
As a Senior Product Analyst, you will be responsible for partnering with Product mangers to own data for the entire product. You will be developing ongoing analyses and reports to support our expanding Merchant(Seller) product suite. You will analyze integration, retention, adoption, product funnel plus other pertinent aspects of product launch/operation/GTM etc.You will also analyze business performance, deliver data driven business insights for decision making, and provide insights on product features, services (as for both new concepts and existing products), design A/ B testing and communicate findings.
Key Responsibilities
Work closely with the leadership team, Product and Engineering & other stakeholders to understand their data science needsDevelop a formalized process to identify, analyze, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholdersDesign and conduct analyses, build datamarts, ship dashboards to provide insights at scale that support growth strategiesAssist Product & other stakeholders teams in developing methodologies/framework to accurately assess and measure impact of our business strategySupport targeted business activities, including opportunities for product and process improvement with a focus on driving significant business growthDesign and execute A/B and multivariate testsIsolate, identify and communicate data issues and own data quality for the analyses and reports producedMonitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise
Qualifications
You have:
5+ years of industry experienceAre self motivated and curiousTechnical initiative and leadership on previous projectsAn ability to uphold a high technical bar while making pragmatic tradeoffs.Bachelor’s Degree in Computer Science
Technologies we use:
SQL, PythonAmplitude, Sumo Logic (optional)Looker, Tableau, GitSparc, Hadoop, Hive, Databricks, Snowflake is not a must have but good to have
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Growth Retention Marketing

Company Description
We believe the economy is better when everyone has access. When everyone has room to grow. No one should be left out because the cost is too great or the technology too complex. We started with a little white credit card reader but haven’t stopped there. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.
Job Description
Data Scientists on the Growth Retention Marketing team leverage analytics, machine learning, and data engineering to empower data-driven decision-making in campaign strategy development for our product marketers and product development for our Automation teams. This team builds platform tools to enable stakeholders to grow and retain customer bases, leads experimentation and growth initiatives, collaborates with product teams to optimize and automate communication solutions, and drives strategic decisions with data. Your role will be a hybrid of traditional roles in product analytics, data engineering and business intelligence. You will need to summarize trends and insights through the vast amount of data captured by Square, and develop applicable strategies to grow Squares sellers and their engagement with Square products through the platform.
You will:
Identify challenges in Square’s cross-sell strategy and define key metrics to measure successLeverage descriptive and predictive analytics to understand the impact of Square-owned growth and retention channelsConceptualize, build and maintain data pipelines and dashboards to visualize growth performance and power data-driven decisions. Partner with Square’s product marketing teams to experiment and implement new cross-sell and engagement strategiesOwn, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate insights and action plans to high-level stakeholders and executives in verbal, visual, and written media
Qualifications
You have:
3+ years of data science experience and a Bachelor's degree or equivalentExpert in both SQL and PythonProven ability to lead cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying machine-learning techniques to solve practical problems such as predicting churn, cross selling, clustering user archetypes, and moreStrong business acumen and ability to translate business challenges into hypothesis testing and deep dive analysisFamiliarity with data warehouse design, development, and best practices
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD54566975, 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. TBD54566975 is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Measurement

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
Square’s Decision Science organization is tasked with understanding marketing attribution as well as Seller value (LTV/CLV) in order to help us optimize go-to-market efforts. Within Square, the Measurement Analytics & Data Science team will collaborate with their Machine Learning modeling counterpart, Measurement ML, and stand at the forefront of these efforts. Together, these two teams own the concepts behind attribution and Seller value on behalf of Square, advancing the discipline forward to meet the increasing complexity of our go-to-market and product ecosystems.
As a member of the Measurement Analytics & Data Science team, you will co-own and represent the concepts of attribution and value for Square, and will be the first point of contact for these critical metrics. You will work closely with business, finance, and analytics partners from across the company as well as our Data Science and Machine Learning modeling teams
To accomplish these business critical needs, you will ingest and analyze the predictions produced by our modeling team, then curate this data downstream to internal consumers in the form of data sets, business intelligence products, detailed reports, and actionable recommendations. In parallel, you will partner closely with our modeling team as well as their stakeholders to iterate and improve our attribution and value measurement models to help us develop and maintain a best-in-class suite of ROI measurements
We want employees to be able to reside where they feel most creative and productive. You will be part of an org that works across pacific, central, and eastern time zone(s).  In this role, you and your direct team will be primarily organized and operating within the pacific standard time zone. This role is open to all people who can be effective partners with this team, including sharing typical working hours.
You will:
Act as a first point of contact between business stakeholders and our Machine Learning team, investigating and triaging issues we see in the dataProduce a suite of analytics and BI solutions that allow a wide variety of stakeholders to understand attribution and value Explain the ideas behind attribution and value measurement throughout Square Work alongside our business, finance, and Machine Learning modeling functions to develop measurement solutions for the futurePresent to and collaborate with a variety of stakeholders across the company to evangelize, align on, and implement new models and solutions
Qualifications
You have:
5+ years of experience in quantitative analytics, data science, and analytical consultingNimble with SQL, Looker, Python, and other quantitative analytics languages and toolsFamiliarity with the domains of marketing attribution, lifetime value modeling, and ROI measurementsStrong written and verbal communication skills with the ability to explain technical data to a variety of executives and stakeholders across the companyFluency of data analytics with the ability to independently contribute to technical output Ability to quickly and deeply understand our product ecosystem, business, marketing strategy, metrics, and modelsFamiliarity with data warehouse design, development and best practices
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Ecommerce

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
The Square eCommerce team, formed with the acquisition of Weebly in May 2018, is on a mission to make it incredibly easy for anyone to sell online. This role will be focused on working with the product team to build and improve the Square eCommerce experience. The ideal candidate understands and loves seeing the impact of their work translate into product changes and improvements. The role will involve working on the product from end-to-end, thinking about everything from how a merchant sets up their online presence to how a shopper browses online. You’ll be formulating analyses using a rich dataset to track feature usage and performance, identify potential gaps and opportunities, and make recommendations to stakeholders. This role will challenge you to think strategically and contribute to high-level discussions with senior leadership and peers across Square.
You Will:
Partner with product managers, engineers and senior strategy leaders to improve the product. Make sure the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analysisDefine KPIs, build ETLs, construct dashboards and other tools for you and other stakeholdersDesign and analyze A/B experiments to evaluate the impact of changes we make to the productUse SQL on a daily basis to develop data pipelines, write complex queries, and perform analysisBreak down nuanced, complex data for stakeholders, keeping context at the forefront of communicationBe faced with tough, open-ended questions. You’ll need to stay focused and be judicious about where you spend your time when there are endless possibilities Roll up your sleeves to solve problems and challenge assumptions. Don’t be afraid to speak up when you’ve formulated a well substantiated opinion
Develop, debug, and improve data models. Our product moves fast and new data doesn’t always play nice with existing models. Think about how to ingest and store data in the most useful and scalable format.
Qualifications
2+ years of experience in an analytics role (e.g. web analytics, product analytics, data science)Strong SQL and familiarity with a scripting language such as Python or R requiredGreat product instincts and natural curiosity Ability to manage competing priorities from multiple stakeholdersConfident and thoughtful communication styleAbility to develop trust and accept feedbackExcellent troubleshooting skills and attention to detailExperience with BI reporting tools is preferred (Looker, Tableau, etc)Quantitative background (eg, bachelor’s degree or applicable training/experience)
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Developer Empowerment

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
The Developer Empowerment team at Square enables developers to be productive and effective by building foundational components, frameworks and tools that aid all stages of the software development life cycle. Data scientists on the team play a critical role in defining and implementing metrics that capture various aspects of SW development. They help our teams understand user needs and product gaps through better data and guide them in decision making and prioritization.
You Will:
Design and implement metrics, dashboards, reports, and deep-dive analyses to measure how well we are meeting the needs of developers and our partner teams and inform where we should invest to improve software development at SquareApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsLead and coordinate on 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 mediaDevelop resources to empower data access and self-service so your expertise can be used where it is most impactful
Qualifications
2+ years of analytics experience, or equivalentFluency with data, analytics, and visualization technologies (We primarily use SQL, Looker, and Python)Familiarity with fundamental software engineering tools such as version control software (we use Git) and build systemsExperience with using, and ideally building, ETL pipelines to process large amounts of dataDemonstrated ability to independently prioritize and lead analytics projects in collaboration with multiple product and engineering managers as an analytics partnerAbility to clearly communicate complex results to technical and non-technical audiences in verbal, visual, and written media
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist Underwriting Analytics

About Us

Founded in 2017, Coalition is on a mission to solve cyber risk and create a safer digital economy where everyone can thrive. Digital risk is now a part of every business and it’s no longer solely the domain of technical teams. That’s why we combined comprehensive insurance with proactive cybersecurity tools to help organizations stay resilient to digital risks like cyber attacks, funds transfer fraud and much more.

Our team works collaboratively across North America and Europe to prevent security failures and provide both technical and financial help when incidents do occur. Today, Coalition is the world’s largest commercial insurtech serving over 130,000 customers including many small businesses that rely on Coalition to help them chart a path forward in the new digital world.

As of September 2021, Coalition has raised $520 million from leading global technology investors as well as highly-regarded institutional investors including: Index Ventures, Ribbit Capital, Valor Ventures,  Durable Capital, T. Rowe Price Advisors, and Whale Rock Capital, valuing the company at more than $3.5 billion.

Coalition has experienced tremendous growth by helping organizations of all sizes solve real-world problems and by remaining true to our founding values of character, humility, responsibility, authenticity and diversity. That’s why we are proud to be named one of Inc’s Best Places to Work in 2021.

About The Role

Coalition is looking for a data scientist to join our rapidly growing data science team to find a solution to underwriting challenges. You will use analytics, experimentation, and modern statistical techniques to help us identify and improve our underwriting system. you will be accountable for growing our revenue in a safe and efficient manner, from informing pricing strategies to better market segmentation to identifying/executing on further automation opportunities.

This role requires an aptitude to partner with our head of underwriting and other key stakeholders to quickly identify emerging trends in our underwriting data and effectively communicate clear, actionable strategies across the company.

Responsibilities

Evaluate our current underwriting practices and compare them against industry trends
Assess intricate processes and workflows to identify and implement improvements to increase productivity and improve cycle time.
Assist reporting, analytics, and machine-learning needs of the entire Underwriting team
Proactively drive conversations with key business stakeholders to drive continuous underwriting improvements
Guide the company's underwriting + pricing KPIs, assessments, and data visualizations
Assist the company's governance, risk, and compliance programs as they relate to our pricing/underwriting systems
Create and maintain documentation that will assist the effective implementation of repeatable processes and workflows
Spread data science top practices to both data science and underwriting team

Skills and Qualifications

2+ years of experience in a professional analytics / data science capacity
Experience writing SQL queries to extract and prepare data for modeling and assessments
Strong logical skills with the experience to collect, organize, assess, and disseminate significant amounts of information with attention to detail and accuracy
Experience to think objectively and interpret meaningful themes from quantitative and qualitative data
Experience to build constructive and effective relationships with a broad and diverse group of business partners
Comfortable guiding others, recommending tools and standard methodologies to improve the efficiency of the teams work
Strong communication skills and aptitude to convey intricate topics to non-technical audiences
Passionate about subjects such as experimental design, data visualization, and statistical assessment techniques

Bonus Points

Experience working in Tableau/Looker or similar data visualization tool a big plus
Experience within the insurance or financial services industry, with a focus on underwriting
Experience with Python or R
A Bachelor's degree in Computer Science, Mathematics, Economics, Statistics or related technical field

Why Coalition?

Coalition's culture is one that strongly values humility, authenticity, and diversity. We want to work with people of different backgrounds and different paths in life, and we trust our team members to take responsibility, share ownership and work for one another. We are always looking for collaborative, inquisitive and dedicated individuals to join our team.

Coalition Engineering

Our culture is one of character, humility, responsibility, purpose, and authenticity. We are growing rapidly and that growth is enabled by strong teamwork, communication, and mentorship. We want people who are passionate about becoming experts in both the business and the technologies that support it. Our core platform is written mostly in Python with some services in Java and Go. We prefer to use the right tool for the job and make pragmatic decisions about how to scale and de-couple systems as we continue to grow. We’re looking for someone who can navigate a cloud environment (AWS) with many moving pieces and systems to help the team understand how they fit into the broader puzzle.

Recent press releases:

Coalition Closes $205 Million Series E, Valuing the Cyber Insurance Provider At More Than $3.5 Billion

Coalition is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

#LI-REMOTE


Data Scientist

Stuart (DPD Group) is a sustainable ًںŒ± last-mile logistics company that connects retailers and e-merchants to a fleet of geolocalised couriers across several countries in Europe.آ

Our Mission ًںڑ€
We are an impact-driven company that aims to build the future of logistics for a more sustainable world: shared, efficient and reliable. We are committed to creating a new standard for urban deliveries that meet todayâ€™s environmental and social challenges while offering a premium delivery experience blending speed, flexibility and convenience.

Our motto: â€œMake every delivery a moment all of us can truly celebrate!â€ More than 3000+ leading brands already partner with us across Restaurants, Grocery, Retail & Luxury, eCommerce and Professional Services to deliver all types of goods at the tap of a button. Stuart is a highly diverse and inclusive company of 700+ employees with 90+ nationalities working across France ًں‡«ًں‡·, Italy ًں‡®ًں‡¹, Poland ًں‡µًں‡±, Portugal ًں‡µًں‡¹, Spain ًں‡ھًں‡¸ and the U.K. ًں‡¬ًں‡§

Itâ€™s the right moment and the right place for us to make an impact on millions of people, as home delivery services hit a record high. And guess what? You can help us fulfil our vision ًں™Œ

About the Data Science Team ًںŒں

You will join our Data Science team to develop algorithm-driven solutions for all business- and operations-related challenges at Stuart in order to scale our operations in Europe. Your focus will be to participate in the research on new algorithms and methods to address topics that are both pain and gain for Stuartâ€™s Business and Operationsâ€™ teams such as:

- Demand & supply forecast: how many packages need to be delivered at any time and zone? and how many drivers are available at that time and zone?
- Incentive optimization: how can we move the driver to high-demand zones while staying profitable?
- Real-time fraud detection & prevention: how can we detect drivers rigging the system & call them out while doing so?
- Ride acceptance prediction: how likely is it that a driver is in for the ride?
- Driver lifetime value: how long and regularly will a driver work for us?
- Client churn: do our clients still love us?
- And plenty more ...

We seek to develop and deliver machine learning services to enable making better business decisions and to provide operational smoothness. Our work is always a team effort where we analyze the conditions and boundaries together with business and operationsâ€™ stakeholders and implement high-performance & robust products together with our Platform & Data engineering teams. Our ultimate goal is to understand the business, determine the limits of state-of-the-art solutions, and break them!

We are looking for a Data Scientist to join our gathering of 12 Physicists, Mathematicians, and Engineers who compose our Data Science team, striving to provide the most efficient and highest performing algorithms in the delivery industry.

If you are passionate about high-performance algorithms for complex problems, big data technologies, or mathematical modeling of business problems, we can guarantee you're in for a ride.

What will I be doing? ًں¤”

Participating in scientific discussions about our algorithms and provide original insights.
Developing data-centric services such as live short-term and static long-term forecasts, fraud detection, prediction of driver behaviors, personalized heatmaps, etc â€¦
Formulating hypotheses about the problem at hand.
Designing experiments and A/B tests to verify our hypotheses and analyze the data to support them.
Building a proof-of-concept machine-learning model and test it on actual business cases.
Integrating the model into a production pipeline alongside platform & data engineers.
Establishing a performance monitoring protocol for the production model/service.
Playing and explore with data and technology to come up with groundbreaking ideas that our product team would have not dreamt of in their wildest dreams.

What do we need from you? ًںکژ

2+ years of experience as a Data Scientist or any similar role (a least one year in non-academic positions).
Solid background in probability / statistics. Ph.D. or MSc in quantitative Sciences (Mathematics, Physics, Computer Science, Biology).
Proven experience in Machine Learning using Python, R, or Scala.

Nice to have âœ¨

SQL and some NoSQL databases, such as MongoDB.
Virtualization using Docker.
Workflow management platforms (Airflow, etc.)
Event-driven architecture (Kafka Streams, Spark Streaming, Flink, etcâ€¦)
Distributed computing (Spark, Hadoop, etcâ€¦)

The stuff you wanna know ًںک‰

Family-friendly work-life balance -آ work from home and flexible hoursآ ًںڈ،
Wellness Allowance (آ£40 monthly) to use in any gym or sport class ًں§ک

آ£200 per month for food (groceries / restaurants / food apps etc) ًں¥—
Audible subscription
Unlimited access to Udemy for all your learning and development needs ًں“ڑ

Stuart Academyآ with regular workshops, Stu-Classes, and Stu-Talks ًںژ“
Stuart is puttingآ Mental Health Awarenessآ first! Wellness Allowance (آ£40 monthly) to use in any gym or sport class ًں§ک

Private healthcare provided by AXA ًں§‘â€چâڑ•ï¸ڈ

Pension taken care of through a partnership with Royal London.
Five months paid maternity leave.
Work in an international, dynamic and passionate environment with a company culture focused on learning and development ًںژ‰

Youâ€™ve read all this way but youâ€™re missing a skill or two? No problem, itâ€™s our job to up-skill you to take your career to the next level. What weâ€™re trying to say is, donâ€™t be afraid to apply if you donâ€™t tick all the boxesآ  ًں’ھ

At Stuart, we believe that employees today want to evolve in collaborative, high-growth environments where they can demonstrate their abilities and thrive both professionally and personally. We are convinced that employees need to find alignment between their inner values and their companyâ€™s culture and mission to unlock their full potential. We work to create a culture of empowerment, continuous learning and growth where everyone can bring expertise, own projects and easily measure their impact ًں™Œ

Stuart is proud to be an equal opportunity workplace dedicated to promoting diversity. We donâ€™t discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status ًں’™

Please note: Our Talent Acquisition Team is international coming from across the world ًںŒچ We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly (unless the job posting is in a language other than English). Thank you ًں¤—

Want to learn more about us? Visit https://stuart.com/about-us/آ


Data Scientist Lead

Are you an experienced leader with a strong background in Machine Learning and Programming? Do you have proven experience applying Machine Learning to solve real business, product, and user problems? Will you join us on a journey to disrupt the trillion-dollar travel industry?
FindHotel believes travel is the one thing that opens minds to new ideas, cultures, and ways of thinking. Our mission is to get every traveler the best accommodation deal, worldwide. From adventure travel and backpacking to honeymoons and family vacations, we genuinely care that every traveler is able to make the best-informed accommodation choice, with the absolute best conditions, for every trip.
We are looking for a Data Scientist Lead to join our Marketplace tribe. The Marketplace tribe owns the platform that is connected between accommodation offers suppliers and demand channels which expose them to millions of users. Empowering our users to find their ideal accommodation requires dealing with complex challenges, many of those are solved, or planned to, by core data products like real-time Pricing and Request optimisation, Hotel and Offer Sorting Order, Content Mapping, Deal Prediction and Recommendation, and more.

What you will do:

Lead the vision, design, and effort of turning our huge datasets into advanced data-driven products solving core business and user problems;
Manage a strong and experienced team of two Data Scientists and work on expanding it. Provide technical guidance across several domains, and ensure appropriate methods are used to balance impact, time-to-delivery, and technical debt. Foster a learning environment and support team members in levelling up their skills;.
Use a variety of data science, statistical, and engineering techniques to generate insights about user behaviour and market dynamics, and work closely with the Product team to turn those insights into product opportunities and data-driven solutions;
Take-on projects end-to-end, from business questions all the way to production;
Work hands-on and collaborate closely with Product Managers, Data & Software Engineers to productionise your product solutions;
Become an internal and external thought leader in knowledge domains the team specialises in.

Who you are:

You have an M.Sc. or higher degree in a technical field such as Computer Science, Mathematics, Statistics, or equivalent industry experience;
You have 5+ years of experience as a Data Scientist in non-academic settings, including at least one year of managerial experience;
You have proven experience being the focal point for data-driven solutions in a Product team, tackling a wide range of problems, using technical, statistical, and machine-learning techniques to find insights and turn them into product solutions;
You are product-oriented and have an impact-focused mindset. You are capable of identifying valuable problems, devising appropriate solutions, and delivering results - while maintaining the right balance between agility, accuracy, and engineering best practices;
You have a strong grasp of at least one of the following domains: classic Machine Learning algorithms, NLP, or Image Processing;
You have experience in building scalable algorithms integrated into a high scale real-time decision-making platform;
You have advanced knowledge of a programming language used for data modelling, such as R or Python;

You are familiarity with modern ML frameworks and services;
You are interested in and willing to learn about the travel industry;
Software engineering experience - advantage.

Why join us now?

We aim to help 10M customers book on FindHotel annually by 2023, up from 2M in the past 12 months. We do that using data, transparency & industry leading features and managed to overcome the corona crisis remarkably fast;
The company is evolving quickly to position itself among the global leaders in the travel industry. It is an exceptional journey to make; challenging, exciting and a marvel to be a part of;
We place huge importance on rewarding our employees for the value they generate by giving Stock Appreciation Rights to all employees.

Do you want to know if FindHotel is the right place for you? Find out by reading about the attitude that thrives at FindHotel.

What we offer:

Plenty of chances to learn and grow within an open, diverse culture that promotes knowledge sharing, trust and transparency;
A great compensation package + perks and benefits (including significant stock appreciation rights);
Flexible time off (take as many holidays as you need) and a chance to work remotely;
You will be part of a highly international team that enjoys working, eating & playing together in one of the best office locations in Amsterdam;
We value good food and offer catered lunches from various cuisines; great coffee, ice-cream in the fridge and the occasional barbecue in our garden;
We enjoy getting together to celebrate our wins with company events in Amsterdam and abroad;
A budget for your dream home office;
Access to free mental health support via OpenUp.

We encourage people from all ethnic groups, genders, sexuality, ages and abilities to apply. If this job description resonates with you, we want to hear from you!

Follow us on Instagram to see what life at FindHotel looks like


Data Scientist

Will you join us on a journey to disrupt the trillion-dollar travel industry? We are looking for the best and brightest who share our passion for travel, data, and product.
FindHotel believes travel is the one thing that opens minds to new ideas, cultures, and ways of thinking. Our mission is to get every traveller the best accommodation deal, worldwide. From adventure travel and backpacking to honeymoons and family vacations, we genuinely care that every traveller is able to make the best-informed accommodation choice, with the absolute best conditions, for every trip.
We are looking for Data Scientists (from mid level to senior) to join FindHotel and help us push our data-driven organisation to even higher levels. We are looking people with a strong background in Machine Learning, Statistics and Programming, and with proven experience applying Machine Learning to real business problems. You will be leading a variety of projects within our company to empower users find their ideal accommodation.

What you will do:

Design, build and test data-driven services that use machine learning and statistics to make our platform as effective as possible: e.g by providing visitors the recommendations that are most relevant to them.
Help to improve our content mapping algorithm (record linkage/deduplication).
Contribute to our deal prediction/discount detection efforts.
Fine tune our hotel sorting algorithm by continuously trying/testing new methodologies and help us ingest more users, content and price-related data.
Ensure content sorting and selection for our platform (image/text quality assessment).
Perform real-time pricing and conversion optimisation at scale.

Who you are:

You have excellent Python and SQL skills.
You are interested in and willing to learn about the travel industry.
You have a solid mathematical background (from statistics to calculus).
You have the ability and interest to work with huge amounts of high-dimensional travel data.
You have experience with modern Python ML stack and concepts [gradient boosters, neural networks (NN) architectures, feature extraction, online/offline validation approaches].
You have at least 3 years of experience in productionizing complex pipelines (ML or any other quantitative development environment).
You have experience in building scalable algorithms, you have some knowledge about computational complexity and data structures.
Experience in any of the following problems is a plus: record linkage (image and text similarity), price prediction, named entity recognition/textual data normalisation, learning to rank, reinforcement learning.

Why join FindHotel now

We aim to help 10M customers book on FindHotel annually by 2023, up from 3M in the past 12 months. We do that using data, transparency, and industry leading features, and managed to overcome the corona crisis remarkably fast;
The company is evolving quickly to position itself among the global leaders in the travel industry. It is an exceptional journey to make: challenging, exciting, and a marvel to be part of;
We place huge importance on rewarding our employees for the value they generate by giving Stock Appreciation Rights to all employees.

Do you want to know if FindHotel is the right place for you? Find out by reading about the attitude that thrives at FindHotel.

What we offer:

Plenty of chances to learn and grow within an open, diverse culture which promotes knowledge sharing, trust and transparency;
A great compensation package + perks and benefits (including significant stock appreciation rights);
Flexible time off (take as many holidays as you need) and a chance to work remotely;
You will be part of a highly international team that enjoys working, eating and playing together in one of the best office locations in Amsterdam;
We value good food and offer catered lunches from various cuisines, great coffee, ice-cream in the fridge and the occasional barbecue in our garden;
We enjoy getting together to celebrate our wins with company events in Amsterdam and abroad;
A budget for your dream home office.

Access to free mental health support via OpenUp.

We encourage people from all ethnic groups, genders, sexuality, ages and abilities to apply. If this job description resonates with you, we want to hear from you!
 Follow us on Instagram to see what life at FindHotel looks like.