Senior Engineering Manager Machine Learning Risk

Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
As an Engineering Manager for Machine Learning Risk you will be building the critical infrastructure to protect Crypto users from fraud and enable participation of everyone in the open financial system. You will be tapping into a variety of large data sources such as the blockchain  to provide millions of people access to crypto while detecting and preventing bad actors.
What you’ll be doing (ie. job duties):
Conceive and implement the roadmap of machine learned management of risk and fraud.
Build and launch excellent productionalized, low-maintenance models.
Build features and success metrics by disambiguating requirements.
Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining.
Setup A/B experiments and iterate until impact is landed.
What we look for in you (ie. job requirements):
3+yrs of Management and hiring experience in the space of Machine Learning
4+ yrs of industry experience as a machine learning engineer
Experience with at least one ML model: Logistic Regression, Gradient Boosting trees, Deep learning, etc.
Experience with data analysis, feature exploration, ETL, and visualization.
Experience in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
Nice to haves:
BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake.
Experience with Python.
Experience with model interpretability, responsible AI.
(P29262)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.


Head Of Growth Data Science

Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
You will partner directly with growth leadership to define and execute data roadmaps, and build systems of intelligence empowering the team while bringing forward actionable and inspiring insights to spearhead critical operational and strategic decisions across all aspects of growth at coinbase
We expect you to have a deep understanding of growth product and marketing domains such as acquisition, activation and retention tactics , and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Lead, mentor and grow a team of data scientists, data science managers and build strong partnerships with growth product and marketing teams
Act as a strategic thought partner to growth product leadership and Coinbase executives; lead the team to execute on acquisition, activation, and other top growth priorities
Partner closely with data and organization leadership to meet analytics needs and continuously improve our insight-creation capabilities, as a trusted and influential evangelist for data-guided decision making, while cultivating a culture of data at coinbase.
Drive long term growth data strategies and planning in growth accounting and forecast, machine learning, experimentation and data infrastructure
Expert knowledge in experimentation to find opportunities, unpack drivers and develop hypotheses to inform action planning with partners
Act as the DRI for key growth metrics and insights at Coinbase
Advocate for data guided decision and frameworks via empowerment of data usage across the growth organization
Recruit and grow a premier data science and analytics team
Drive data team and organizational level initiatives to scale our insights through better systems and automation
Design communication structure and cadence with team members; Synthesize data takeaways (success or failures) into compelling narratives and communicate them throughout Coinbase
What we look for in you (ie. job requirements):
BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree. Masters or PhD is preferred; Reforge program alumni is preferred
Deep knowledge of growth analytics and data domains with proven track record of running a successful growth data team
7+ years of experience as a hands-on leader of a data science/analytics team.
Experience in both internal and external storytelling and executive presentations.
Expertise with analytics tools, data visualization, sql, r, or python as applied to data science and analytics.
10+ years of experience providing business insights support for the executive team.
Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.
Experience in leading large teams with 10+ team members
#LI-Remote
(P29079)
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@ coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here: Ireland/EU, United Kingdom, and California. By submitting your application, you are agreeing to our use and processing of your data as required.


Decision Science Analyst Lead

Purpose of Job
We are currently seeking a Decision Science Analyst Lead.  This lead will work in a 100% remote (Work@Home) capacity.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.Organizes and oversees the development of requirements/resources necessary to meet established objectivesApplies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change.Translates recommendation into communication materials to effectively present to all levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Researches and pursues the latest and/or industry leading  practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). ).Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years’ work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.8 years of experience in a decision support analytic function; Or Advanced degree in relevant discipline with 6 years’ experience in a decision support analytic function.3 years of direct and/or indirect management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Commercial lines insurance experience.Familiarity with third party data.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800.00 - $192,300*( this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is NOTavailable for this position.


Staff Data Scientist Machine Learning

About the role
About the roleData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.We are currently looking for Staff Data Scientists to be part of our new visual attribute extraction technology called Deep Tagging.
Deep tagging is transforming the online shopping experience by enabling image and text-based product understanding,  leveraging Computer Vision, Natural Language Processing and deep learning technologies that mimic the way customers think about products.As Staff Data Scientists on this team, you will get the opportunity to push products and business forward, focus on solving important problems and get to experience an opportunity to become an AI expert in the ML Computer Vision and the Deep Learning space.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
2+ years of experience in one or more of the following areas - CV, NLP, deep learning or artificial intelligence
You have a well-built technical experience that inspires individual contributors’ creativity and innovation.
You feel comfortable designing and training  Deep Learning models for object detection in images/ image classification/ text classification
You have experience with product leadership and technical decision-making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level but are also able to contribute to long-term initiatives by mentoring your team
Multiple work streams excite you, you are able to use ambiguity as an opportunity for high-level thinking
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals
Great if you have:
Previous experience using Spark
Previous experience working with MLFlow
Previous experience using Ray
Experience with statistical methods like regression, GLMs or experiment design and analysis.
We know that applying to a new role takes a lot of work and we truly value your time. We are looking forward to reading your application. Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
All your information will be kept confidential according to EEO guidelines.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Staff Data Scientist

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors  creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Data Scientist

Overview
eSpark Learning puts fun and effective learning experiences in the hands of more than a million K-5 students around the USA, and can be found in 1-in-4 schools. After back to back years of 40+% revenue growth, we are looking to apply this success to our engineering organization and double our size in the next year so that we can further accelerate the growth of the business. In light of this, we are excited for senior data scientists to join the team who can have profound impact on the success of the company (as both contributors and leaders), and more fully realize their own potential by taking on responsibilities that align with their interests and passions.
The Role
As a Senior Data Scientist, you’ll join our engineering organization, reporting to the Director of Engineering, and help develop the practice and growth of data science across the company, in turn making the lives of teachers, students, principals, and other eSparkers better through your efforts. You’ll get your hands dirty with data to surface insights from our product, while also having the opportunity to help build out our data science function from the beginning, helping us define how we’ll conduct experiments, analyses, and other forms of quantitative research for years to come. We welcome candidates at the senior level or above, and will adapt title accordingly with experience.
There are three tenets all members of the team are expected to hold and embody:

We carry a growth mindset and drive our own development.
We believe that we do our best work when collaborating closely with others.
We care more deeply about the problems we’re solving than how they’re solved.

We believe that excitement to learn, a readiness to work together collaboratively, and good scientific and technical fundamentals are more important to success at eSpark than past experience with specific technologies or methodologies — we are always ready to pair and to train new staff on the methods we use. The applications our students and teachers use are built with Elm and Typescript on the frontend and Ruby on Rails on the backend (all covered by tests), running on top of Docker and with data stored in MySQL and Redshift. In contrast, our data science technology is nascent, and actively being defined by the growing data functions at eSpark, including you.
Responsibilities

Use all of our data to generate insights across our chain-link of three stakeholders:

For students: What behaviors are driving student learning? Why are certain learning resources more effective than others? What learning activities engage kids the most? The least? Are we serving all communities equitably?

For teachers: What makes a teacher try eSpark with her class? What makes her stick around? How do eSpark usage and referrals spread within a school?

For administrators: Which usage patterns in the classroom are predictive of a trial converting to a paid partnership? Do certain school attributes predict sales conversions?

Write software as needed to bridge the gap between the data we have and the data you need
Define and configure the tech stack for performant and reproducible analyses
Design and help build our experimentation platform
Support business goals by helping teachers find eSpark, sign up to use it in their classrooms, and advocate partnership to their administrators
Lead the experimental design around product and feature roll-outs
Participate in design and ideation around product and feature opportunities, using data to inform these decisions
Level up eSpark’s data science capabilities and knowledge across product, marketing, sales, and customer experience
Drive our understanding of the efficacy, equity, and fairness of our learning product for students of all backgrounds and circumstances
Participate in external research communities, and attend/publish work in academic and industry conferences like FaccT, COMPASS, WSDM, CIKM, KDD, AERA, NeurIPS, AIED, etc.

Benefits and Policies. In addition to a competitive salary and stock options, eSpark offers full healthcare coverage (including vision, dental, and mental health benefits), generous vacation and parental leave policies. We are a fully-distributed company (circa March 2020) and provide benefits around outfitting your home-office arrangement, including your choice of technical equipment. We believe in work-life balance and respect nights and weekends.
The Interviews
The eSpark engineering team’s approach to interviewing is built on transparency, as we believe that everyone has a better, more productive experience when expectations are clear. For this role, we are looking for candidates who meet three specific criteria:

Self-sufficient scientist – You can design and implement analytic and experimental methods to answer important business questions independently, while leveraging the team for support.
Competent software engineer – You can write the code you need to gather and analyze the data for scientific work and develop and implement towards a vision for how this work can be done in a repeatable, reliable way into the future.
Capable strategic partner – You are quick to comprehend business and product context, allowing you to contribute to what we’re doing and why, with the ability to recognize and fill in the gaps as needed.

To learn about these three areas, and you in a general sense, we conduct three one-hour interviews with various teammates from eSpark, from engineering and beyond. We also ask for three references, to complete a full picture of you as a candidate. Written feedback or evaluations are also acceptable substitutes. We also recognize that not everyone has enjoyed a complete history of healthy working environments, and we are keen to work with you to identify appropriate individuals who can speak to your strengths and areas for growth.
For more context on our interview process, please refer to this document on Data Science Interviews at eSpark – What to Expect.
About eSpark
Vision. Our vision is that every student, regardless of their circumstances or background, has the opportunity to set and realize an ambitious dream for themselves. Our mission is to re-imagine learning so it's student centered, enabling students to succeed in school and life.
Impact.  Our work makes a significant difference in students' lives. Independent testing data from public school districts across the country consistently show that students learn more in areas of personalized study with eSpark. One researcher from MIT, who evaluated an eSpark in Boston Public Schools, wrote:  “I find strong positive, significant effects of eSpark for both math and English Language Arts (ELA).  So the eSpark intervention, which is just 30 minutes a day, led to almost half the effect of a full year in a high performing charter school.  I view these as very impressive gains.  The findings made a substantial dent into the black-white achievement gap.”
Diversity. At eSpark, we believe all people—adults and students alike—deserve respect for who they are. We work hard to make eSpark an environment in which everyone can thrive and succeed, supporting employees as individuals through people-centric management and as a company with our IDEA (Inclusion, Diversity, Equity, and Access) employee resource group. We believe it is critical that our team reflects the student populations we aim to serve.
Pandemic. The 2020-2021 school year has been a time of unprecedented challenges for teachers, students, parents, and schools.
We believe — and have seen in last spring and fall — that eSpark’s personalized curriculum, made of fun and educational games and videos and adapted to each student; our commitment to providing teachers the tools and live support they need to support both remote and in-person learning; and our engaged team focused together on supporting educators and learners, can be a powerful help to teachers and to the students most at risk of falling behind during the pandemic.


Senior Data Scientist

Tradesy is a peer-to-peer marketplace for buying and selling luxury fashion, enabling stylish customers to unlock the value in their closet to access affordable luxury. Our mission is to make fashion resale as simple, safe and stylish as retail — at scale. We have millions of passionate members, a product that people love, strong values centered around sustainability and equality, and a team culture that truly supports you — while giving you the freedom to work from wherever you are.
Tradesy is seeking an exceptionally talented Senior Data Scientist to be a part of a data-driven technology and fashion company. Our small team means you will have direct access all the way up to the C-suite and the freedom to tackle a wide variety of problems. In particular, our user-generated data gives search, information retrieval, and personalization all an added layer of complexity that you will be welcome to tackle with any tool in your toolbox.
Success in this role requires an individual who is self-directed and possesses the ability to own projects from idealization through to production. While we have support from our Engineering team, the fast paced experimentation in our world makes the ability to code at a production-ready level paramount. Solutions you develop will primarily leverage machine learning tools; however, descriptive analytics, A/B testing and data visualization also play a role in investigation and innovation. Additionally, our systems, warehouse and data pipelines live in Google Cloud -- experience in this ecosystem is an advantage.
This role reports directly to the Manager of the Data Science team.
You will:

Leverage the unique aspects of our business to increase both buyer and seller engagement through machine learning techniques including entity embeddings, learn-to-rank, personalization algorithms and more.
Work with marketing to determine the most effective media planning and buying, coupon and email strategies.
Partner closely with marketing to continue to optimize and improve our attribution and forecasting algorithms.
Use internal and external historical data to identify market trends, predict supply and demand, and optimize pricing.
Be responsible for the entire lifecycle of projects; from gathering stakeholder requirements, determining the appropriate modeling approach, putting the model into production, and working with Product or Marketing to iterate on the results.
Research and propose relevant mathematical and technical advancements to Data and Engineering team members to push the boundaries of our data science tech.

You have:

5-7+ years of work experience in a Data Scientist role.
A college degree in engineering, computer science, mathematics, economics, operations research, statistics, AI, ML, or a similar technical field; Masters and/or Ph.D. a plus
Solid understanding of, and extensive practical experience using a variety of supervised, unsupervised, and reinforcement machine learning algorithms.
Strong coding ability in Python and SQL, including common packages such as scikit-learn, Pandas and matplotlib. Experience with lower-level languages, Spark, or development work is a plus.
Extensive experience launching models into production and optimizing solutions towards clean and simple deployment
The ability to explain not only results, but process, to both technical and non-technical business partners. This includes well-designed presentations, clear documentation, and strong written and oral communication skills.
An excitement to help your teammates and coworkers; including an autonomous drive to stay up-to-date in the field and share applicable learnings to Tradesy at large.

We are:

An established company with startup energy.  We’ve been in operation for over a decade and have over one million active items on the site at a given time. This presents a massive amount of truly unique data to get down and dirty in.
Dedicated to supporting our teammates’ careers. We believe in carving out your own path, at your own pace. There’s room at the top for all of us.
Committed to collaboration. Data Science is a true cross-functional partner here at Tradesy. Data science solutions are appreciated here and thus made a priority when planning developers’ sprints. You WILL see your work in action.
A remote-first work environment. At Tradesy, our employees are our biggest strength. The health, safety and well-being of our community is a top priority. Your work hours are flexible and yours to dictate; there’s no one looking over your virtual shoulder. We hold each other to high standards of work ethic and respect and expect that of anyone else we hire as well.

Compensation and benefits:

Competitive salary -Commensurate with skill set, experience and the position. What you made at your last job should not dictate your worth. Tradesy is committed to a basic living wage threshold and holds its own $50k minimum wage standard for entry level positions.

True opportunity for growth - we don’t believe in time served or waiting around for your manager to get promoted or leave. Carve out your own path, at your pace - there’s room at the top for all of us.

Comprehensive health benefits - several options for company paid medical, dental, prescription drug and vision plans. Tradesy pays 100% of the premiums for individuals - great discounts if you want to add spouse/children/families.

Wealth benefits - 401k option and equity (stock options) because every employee should be an owner.

Flexible paid time off - we coordinate with each other to make sure work and play find a healthy balance.

Celebrate Diversity Paid Holiday Program - a combination of set and floating Company Holidays - so you can choose the days most meaningful to you. Extra paid time off to serve (jury duty) and VOTE as well!

Mentorship opportunities - grow within your field, gain valuable skills and experience in a new one or become a change agent for those around you - all on Company time.

Paid Parental Leave - for Moms, Dads and everything in between

Additional perks:

Remote-friendly office - Work from the place that best works for you.

Flexible working hours - night owl? Got kids/pets/family obligations? We value your output, not the clock.

Virtual company-wide happy hours, product demos, support groups and team events. Philanthropy and community outreach too - we are constantly finding new ways to stay meaningfully connected in this virtual world.

Free Health & Wellness App Subscription- fitness, mindfulness, stretching, stress management, nutrition and so much more.

Monthly technology reimbursement - $100 per month (tax free!) to help you stay connected and in touch


Senior Research Scientist

Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn allows you to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you can bring clarity to complexity and lightness to heavy issues, you could be an excellent fit for our team.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet.
About the Role:
As a Senior Research Scientist, you will independently, and in partnership with the Research & Insights team, advance Thorn’s organizational knowledge of online child sexual exploitation and emerging trends. The work you do will be a combination of finding quick wins and developing longer-term research. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with both technical and non-technical audiences. You’ll work closely with the Head of Research & Insights to grow the Research team’s impact, both internally and externally, by delivering nimble, innovative, and rigorous research.
What You’ll Do:

Serve as a source of issue expertise in online child sexual exploitation and emerging trends. Mastering a variety of concepts and related data points to help Thorn make strategic decisions off the best information available.

Lead a diverse portfolio of research projects leveraging a variety of large, unstructured data sources to drive understanding of trends in online child sexual exploitation

Implement new statistical or machine learning methodologies as needed for specific models or analyses
Draft briefs and reports that clearly and accurately distill nuanced subjects to a range of technical and non-technical audiences
Create visualizations to facilitate strategic decision making
Keep up to date with the newest developments in statistical analysis and related data science technologies
Mentor teammates fostering critical thinking and excellence in our research
Actively pursue diversity and inclusion in Thorn research to ensure all kids are represented in our understanding of this issue
Intentionally and proactively practice, defend and improve data ethics and statistical integrity, both in own work and cross-functionally across teams

Skills We’re Seeking

At least five years experience in statistical analysis and/or data science using either Python or R with at least moderate knowledge of Python.
At least two years mentoring and coaching colleagues via pairing, research design, and code review
Strong written, verbal, and visual communication skills, and the ability to tailor messaging to a range of audiences
Some travel will be required in the future
Prior knowledge of child exploitation/abuse issues is a plus
Desire to serve Thorn’s mission

Technologies We Use

Python, Jupyter notebooks
Python packages for statistical analysis and ML, like scikit-learn, statsmodels, etc.
NLP tools like NLP tools like Spacy, Gensim, or Hugging Face transformers.
ElasticSearch, SQL
Network analysis tools like NetworkX, neo4j graph algorithms
Github for code version control
DVC for version control of non-code data analysis artifacts

You should have at least four years of professional experience with these:

Python or R for data analysis
Statistical inference, hypothesis testing, regression analysis
Time series analysis
Data quality analysis
Unsupervised learning / clustering techniques

In addition, you should have non-trivial experience with:

Network analysis / social networks analysis

Expertise in any of the following is a major plus:

NLP
Raw data collection and processing, like web scraping, working with APIs to collect data, working with open source data, and querying databases
Bias assessment
In-depth knowledge of digital photo image metadata, photo editing techniques, webcams
Linguistics, especially computational linguistics
Experience in Anthropology, Psychology/Sociology, Epidemiology, Criminology, Forensic Science, Fraud detection
Emerging trends detection
Data visualization

At Thorn, we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team and encourage people from underrepresented backgrounds to apply. Your skills are needed here.


Data Scientist

Sardine helps neobanks and crypto wallets with fraud indemnification and advanced risk scoring. We're rapidly growing but still a small team. You'll be essential part of building next phase of company.
You will:
Develop statistical and machine learning models for fraud prevention and other use casesUse data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experienceEvolve our risk metrics, the datasets to support them, and the measurement of causal impact of initiatives to improve themBring data-driven thinking to our team and our customers
We’re looking for someone who has:
5+ years of data science/quantitative modeling experienceAdvanced Degree in Mathematics, Statistics, Quantitative Finance, Economics, Sciences, Engineering, or Computer ScienceStrong working knowledge of SQL, R, Python, Matlab, C++, or equivalentCreative problem solving, strong critical thinking, and a get things done mentality
Technologies we use includes:
bigtablepostgresGCP dataflow (apache beam)bigqueryElasticSearchMetabaseTypeScript (React + node)GolangPythonRuby
Benefits
Remote-firstFlexible PTOHealth care and 401KWork from home stipend7-year for post termination option exercise (vs standard 90 days)


Data Scientist Freestyle Recommendations

About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven, data science culture where members have autonomy to deliver impact through end-to-end, full-stack product development and ownership. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a $2B+ company we are looking for data scientists and leaders to join us in the revolutionization of retail.
The Freestyle recommendations team leverages personalization algorithms to power the Freestyle experience, which involves a combination of modeling style, outfit recommendations, and expanding Stitch Fix’s total addressable market. In doing so, this team builds capabilities that explore a client’s stylistic preferences and then use those to produce rankings over best items and outfits in real-time.
About the Role
In this role you will contribute to building the future of personalized apparel shopping: we are moving beyond the paradox of choice to generate and present unique content to clients tailored to their particular needs at any given time. Whether it’s for clients finding an item for a special occasion, discovering something that fits their existing wardrobe, or just wanting to get inspired - Stitch Fix’s Freestyle aims to do it all while personalizing styles for the client’s aesthetic, size, fit and price comfort zone.
This is a new, growing, and exciting area for the business in which you will get the opportunity to work cross-functionally with Strategy, Product, Merchandising, Marketing and Engineering business partners to build these capabilities from the ground up!
YOU'RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL…

Solve problems related to real-time personalization, recommendations and ranking, seasonality and diversity, category generation and discovery, multimodal search, latent representation, etc.
Experiment and build new 0 to 1 algorithmic capabilities that deliver personalized content to clients

Productionize models together with our very helpful data platform team for real-time applications

Leverage unique data about our clients, our merchandise, and their interactions across all Stitch Fix surfaces
Work with our product and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure

WE’RE EXCITED ABOUT YOU BECAUSE…

You have production machine learning experience and are proficient in deploying apps in Python
You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field.
You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners
You are a compassionate teamplayer and you see your growth and success entangled with the growth and success of your peers
You are innovative and inspired to take on new challenges and you do not shy away from potential failure
You possess a solid understanding of ML & engineering and want to grow even deeper in the field
You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here

Why you'll love working at Stitch Fix...

We are a group of people who are bright, kind and motivated by challenges. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed, and have meaningful impact
We take what we do seriously. We don’t take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day

About Stitch Fix
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:https://www.stitchfix.com/privacy/usrecruitingprivacy


Data Science Manager

Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 3,000 businesses are using Ramp to process billions in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, Better, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.
Founded in 2019, Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.
What You’ll Do
The Data Science team at Ramp creates value by optimizing core leverage points across the business (i.e. Risk, Growth, Core Product, etc).

Leverage a combination of structural modeling, causal inference, machine learning, and optimization to build key algorithms to solve core business problems
Work across the lifecycle of quantitative problems -- from formalizing nebulous business problems into tractable quantitative frameworks, to doing research & prototyping, to working with engineers to put algorithms into production
Design & run statistically-sound experiments to measure the causal impact of your work
Define, clean, and transform large datasets from a wide array of data sources
Contribute to the company roadmap by working closely with product management, engineering, and other stakeholders

What You Need

Minimum 1 year of experience hiring and managing data scientists
M.S. degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 3 year of industry experience as a Data Scientist

Bachelor's degree with a minimum of 5 years of industry experience

Advanced SQL expertise (preferably PostgreSQL 11.x and newer)
Experience leveraging scripting languages (i.e. Python) to work with large datasets
Familiarity with the mathematical fundamentals of statistics, optimization, and/or economics
Familiarity with experimental design (such as A/B testing), causality, and statistical methods
Track record of shipping high quality products and features at scale

Nice to Haves

PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields

Familiarity with Tensorflow

Prior experience within data engineering; creating & maintaining ETLs / pipelines
Experience at a high-growth startup
Background in finance, risk, underwriting, and/or fraud

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents

401k (including employer match)
Parental Leave
Unlimited PTO
WFH stipend to support your home office needs
Monthly wellness stipend
Annual education reimbursement
Relocation support


Senior Data Scientist

Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 3,000 businesses are using Ramp to process billions in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, Better, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.
Founded in 2019, Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.
What You’ll Do
The Data Science team at Ramp creates value by optimizing core leverage points across the business (i.e. Risk, Growth, Core Product, etc).

Leverage a combination of structural modeling, causal inference, machine learning, and optimization to build key algorithms to solve core business problems
Work across the lifecycle of quantitative problems -- from formalizing nebulous business problems into tractable quantitative frameworks, to doing research & prototyping, to working with engineers to put algorithms into production
Design & run statistically-sound experiments to measure the causal impact of your work
Define, clean, and transform large datasets from a wide array of data sources
Contribute to the company roadmap by working closely with product management, engineering, and other stakeholders

What You Need

M.S. degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 1 year of industry experience as a Data Scientist

Bachelor's degree with a minimum of 2 years of industry experience

Advanced SQL expertise (preferably PostgreSQL 11.x and newer)
Experience leveraging scripting languages (i.e. Python) to work with large datasets
Familiarity with the mathematical fundamentals of statistics, optimization, and/or economics
Familiarity with experimental design (such as A/B testing), causality, and statistical methods
Track record of shipping high quality products and features at scale

Nice to Haves

PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields

Familiarity with Tensorflow

Prior experience within data engineering; creating & maintaining ETLs / pipelines
Experience at a high-growth startup
Background in finance, risk, underwriting, and/or fraud

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents

401k (including employer match)
Parental Leave
Unlimited PTO
WFH stipend to support your home office needs
Monthly wellness stipend
Annual education reimbursement
Relocation support


Data Science Lead Marketplace

About Hipcamp

Hipcamp unlocks access to private land, creating new places for people to get outside and go camping, glamping, or RV’ing. We believe that spending time in nature is essential to a happy and healthy human life, and we are deeply passionate about our mission to get more people outside. We are proud of the impact Hipcamp creates by making nature more accessible, providing income to support the protection of private land, and creating community across the urban rural divide.

Hipcamp’s mission is to connect people with the magic of the outdoors. We make Hipcamp successful by understanding our users and inspiring them to engage with our platform.

About the Role

Hipcamp is looking for a founding Data Scientist to build out our data science practice and drive matchmaking via marketplace initiatives. In this role you will be able to set the course for the future of data science at Hipcamp. This is a perfect role for someone with experience that wants to take the lead and shape the vision for how Hipcamp uses data science.

What we're looking for

Machine Learning
You will have the opportunity to fundamentally shape our use of machine learning.  Building both machine learning models embedded directly in our product and in models used to optimize our business.  The range of possible algorithms is broad therefore it is important that you understand when it is appropriate to use a given technique and understand the statistical methods used to assess your results. You will have experience and strong opinions about how to build an ML practice and you will be supported by our  staff, product, and engineering team. You will build and hire a team to build the data science platform that runs Hipcamp. You will drive transformative business outcomes.

Leadership
You lead others and have strong opinions about how data science can impact our business. You will work closely with staff, product and engineering teams to define the strategic roadmap. You will build a team to execute on that vision guided by hard results. You'll iterate efficiently and by doing so your work will have long lasting impacts on the business. You will build trust and influence throughout the company and be a champion for objectivity. You will reveal patterns and build systems that lever up all of our efforts.

Experience
Ideally you have experience applying data science broadly to business challenges and have delivered impact.  E-commerce or two-sided marketplace experience not required but preferred. Experience with designing and deploying online models at scale ideal. Experience designing recommendation systems and personalized product experience from scratch.  Experience working with stakeholders and influencing strategy required.

About our Work Environment

Compensation will be a mix of salary and stock options. We are a 100% remote company post Covid-19.

Health is essential to happiness. In addition to full health insurance, all team members receive a monthly wellness stipend and $1K in Hipcash because we believe getting outside is excellent preventative medicine in addition to increasing your creativity, lowering your stress, and making you an overall more awesome human.

We focus on results, not hours. We believe that clearly defined goals combined with great people, empowerment, and autonomy create the best results. We feel confident that inclusive and diverse teams working on an important cause can accomplish extraordinary things.

Hipcamp is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. In fact we are confident that the most inclusive and diverse teams accomplish the most extraordinary results.


Data Scientist

Description
Lightyear Health is looking for a Data Scientist to support data-driven decisions that improve the quality of life for seniors. You’ll be an integral part of a fast-growing health-tech startup with a vibrant, supportive culture, and work closely with experienced data scientists.
As a Data Scientist, you will have the opportunity to learn from the team around you and collaborate with other areas of the organization such as Engineering, Product, and Marketing. This is a perfect role for those looking to further their experience in Data Science and make an immediate impact on the business.
Here’s what you’ll do:
Leverage your expertise in analytics to surface actionable insights from clinical and business data
Build and maintain reliable data tools and pipelines to power our analyses that inform company operations and patient care
Own your analytic projects, proactively identify data issues, test assumptions, and propose solutions
Support other data science projects as needed
We’d love to hear from you if you have the following:
1+ years of professional experience in data analytics; experience with health data preferred
Experience using SQL and other data science tools (e.g. Python, R)
Solid understanding of inference and confounding
Willingness to learn new skills and hone one’s craft
Strong communication and collaboration skills
Willingness to take ownership of your work
Understanding of machine learning basics is a plus!
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Anticipated Salary Range
We’re committed to an inclusive, consistent, and equitable approach to compensation and anticipate that this position will earn between $90,000 and $110,000 USD annually. The exact salary will depend on (1) how many years of relevant and transferable experience the candidate brings to the role and (2) the internal level at which the candidate is hired in relation to our career development framework. All team members also receive a stock option grant.
About Lightyear Health
At Lightyear Health, we demand more for people aging with cognitive and functional impairments. We envision a world where every resident has access to the world’s foremost experts in geriatric care.
Lightyear Health is a team of experts in geriatric care who provide specialized healthcare to individuals needing post-acute care. Taking a proactive approach (and enabled by our proprietary software) our team collaborates with individuals, families, and caregivers to design care plans that address the specific needs of each person. We deliver healthcare directly to the bedside and accept nearly all insurances so that quality care is convenient and accessible.
Working at Lightyear Health
We know that our people are indispensable to achieving our mission, and strive to build an inclusive environment that enables everyone to do their best work. In that spirit, we deliberately hire people from all walks of life — including race, gender identity, sexual orientation, disability status — and from all parts of the United States and Canada. If you’re motivated by our mission and eager to contribute to our team and culture, we’d love to hear from you.
Specific benefits for full-time employees include:
30 days of paid time off (PTO) per year, up to 10 of which can roll over to the following calendar year (note that this will start in 2022; there are no set days for the remainder of 2021)
12 weeks of fully paid parental leave
Competitive medical, vision, and dental health plans
401(k) plan through Human Interest, including an employer match of 1% of annual salary
Stock option grants for all team members


Senior Data Scientist

Company Description
Resultant is a modern consulting firm with a radically different approach to solving problems.
We don’t solve problems for our clients. We solve problems with them.
Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.
We’re Resultant. Clients partner with us to see a difference. People join us to make one.
Job Description
At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems. Data analytics is a core component of how we do this.
We are looking for Data Scientists to add to our talented Data Team. In this role, you will perform data analysis, statistical analysis, and develop algorithms and methodologies on structured and unstructured data for on-demand and software-embedded use.
Here’s what a typical day for you might look like:
Develop and apply machine learning and advanced analytics algorithms to solve problems you’ve never seen beforeCollaborate with data architects and software developers to plan and construct the architecture of model deploymentSummarize results and communicate to our team and clientsContribute and share new knowledge with our team at a lunch-and-learnExpect to face new challenges each day. Expect to work on a high diversity of differentproblems. Expect to work hard and learn faster than you thought possible.
Qualifications
This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience. Some of the qualifications and skills we are expecting are:
Bachelor’s and preferably advanced degree in a quantitative field requiredExperience developing algorithms with Python and/or RExperience working with data from a traditional relational database environment. NoSQL experience a plusExperience with statistical modeling and analysisExperience performing longitudinal analysis a plusExperience with distributed computing a plusDevelopment experience on Linux/MacExperience with Bayesian analysis is a plusExperience developing interactive visualization (shiny, plotly) is a plusExperience with developing in cloud environment is a plusExperience with text mining and NLP algorithm is a plusExperience with open source machine learning and data stack (gensim, Caffe, Keras, spacy) is a plusExperience with graph and network algorithms is a plusExperience with container technologies (docker) and development toolkit (git, jenkins) is a plus
Strong working knowledge of the following:
Modern data mining and machine learning methodsStatistics, mathematics, computer science, numerical methods, and data visualizationLinear algebra and probability·Regular expression and text miningRapid prototyping and developmentSolution creativity and effective written, verbal, and presentation skillsProgressive mindset particularly around deployment models and emerging technologiesCollaborative team player who is detailed oriented, focused on solution quality and executionComfortable working across a wide range of project sizes and industriesEntrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems
Additional Information
What you should know about us:
We are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes. We are team players, deeply dedicated to the mission of the organization, and to helping everyone around us be successful. We compensate well, rewarding performance that delivers positive outcomes for our clients and ensuring incentives are aligned to achieve our goals. Our leaders work hard, serving as shining examples of what it means to live out our values. They are servant leaders, helping their teams to be successful in all possible ways. We have a great benefits package including unlimited vacation, significant 401k contributions, and several opportunities to develop yourself. We pride ourselves in having the best talent in the industry and hope that you're up for the challenge!
What our team members say about us:
"I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like this.""I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team.""The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me."
All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status.
Equal Opportunity Employer


Senior 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
Retailers have struggled too long with clunky, outdated and disconnected tools. Even as mammoth Retail and e-commerce forces threaten to disrupt smaller merchants, we are empowering those merchants with simple and elegant solutions to complex problems - like predictive analytics and fluid, omni-channel capabilities to meet customers wherever they are - to always make the sale. Square for Retail is one of Square’s three vertical Point of Sale solutions, focused on serving upmarket sellers.
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 business intelligence, statistics, exploratory analysis, 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 Square
Qualifications
You have:
5+ years of analytics experience, and a Bachelor’s degree or equivalent professional or academic experienceFluency 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, cross-selling, clustering user archetypes, and predicting churnExperience with a BI tool such as Looker or Tableau
Even better:
An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Physical Sciences, Economics, or a related technical fieldExperience with data warehouse design, development and best practices
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.


Senior Data Scientist Square Conversations

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. Whether it’s the food truck that’s establishing a brick & mortar restaurant, the former sole proprietor adding her first employees, or the entrepreneur expanding from one location to ten, as our sellers scale, so do our solutions. We all grow together.
Job Description
As a member of the Square Conversations Data Science team, you will use statistical, machine learning, analytics, and data engineering techniques to empower decision-making for Square’s core messaging product. Over the last two years, the Conversations team has built an impressive communication platform that is used by a large and diverse set of sellers, in turn delivering tremendous business value (e.g. enablement of buyer-seller interactions through text and email, invoices/receipt messages, automated reminders, etc.). As the team continues to scale, there will be numerous opportunities for data science to generate additional impact, such as sizing new strategic opportunities related to integrations with the rest of the Square ecosystem, operationalizing new metrics, evaluating the incremental impact of new launches, leveraging machine learning to carry out segmentation/generate predictive insights, and collaborating with other orgs across Square on new initiatives.
You will:
Partner with the Square Conversations team to make data-driven decisions that have significant impact;Apply a diverse set of techniques including statistical analysis, machine learning (ML), analytics, and data engineering to generate strategic insights;Collaborate with the Conversations AI engineering team on interesting ML initiatives;Communicate analysis and recommendations to high-level business partners in verbal, visual, and written forms;Develop resources and collaboration processes to empower data access and self-service so that your expertise can be leveraged where it is most impactful.
Qualifications
You have:
4+ years of data science experience or equivalent;Fluency with Python and SQL;Solid statistical foundations (e.g. A/B testing);Familiarity with standard machine learning concepts (e.g. regression/classification, clustering, offline/online model evaluation) and curiosity to learn more modern techniques (e.g. NLP) as required;Familiarity with data engineering best practices;Experience leading cross-functional projects and partnering with Product/Design/Engineering/UX Research on strategy and prioritization;Excellent verbal and written communication.
Nice to have:
M.S or Ph.D. in a quantitative field (e.g. mathematics, statistics, or similar STEM field);Experience working on growth, risk, or messaging-related products.
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $152,100 - USD $185,900Zone B: USD $144,500 - USD $176,700Zone C: USD $136,900 - USD $167,300Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Product Data Scientist Crypto

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible, at Cash App you'll have the opportunity to make a real-world impact with your career.Today, Cash App has thousands of employees around the world with a culture geared toward creativity, collaboration and impact. We’ve been a distributed team since day one, and continue to value working across time zones and continents both remotely and in our Cash App offices.Our offices are great, but many of our roles can be done remotely from the countries where Block operates. We tailor our experience to champion our employees’ creativity and productivity wherever they are.Check out our locations, benefits and more at cash.app/careers.
Job Description
Cash App is looking for a Senior Product Data Scientist with a deep interest and passion for bitcoin and data to join our Crypto team. The Crypto team’s mission is to empower individuals across the world by providing financial services based on bitcoin and other digital assets.
Cash App became the first public company to launch bitcoin purchases in 2018 and since then we’ve added a full ecosystem of bitcoin products you’ll be supporting, from bitcoin buy/sell to novel technologies like the lightning network. Because you will work with bitcoin data across multiple touchpoints (internal systems, blockchain, lightning network, etc.) a solid understanding of how these technologies function and demonstrated experience/interest working with this data is a big plus.
As a Senior Product Data Scientist Cash App Crypto you will:
Partner directly with product managers, engineers, and designers on the Crypto team to identify new product opportunities and optimize existing products through data insightsWork directly with blockchain and lightning network data to track and optimize the performance of our external crypto payments over those networksAnalyze large datasets using SQL and scripting languages to surface meaningful/actionable insights and opportunities to the product team and other key stakeholdersApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behaviorDesign and analyze A/B test experiments to evaluate the impact of changes we make to the productWork with engineers to log new, useful data sources as we build new product featuresBuild, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiativesWrite code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader teamBuild and share data visualizations and self-serve dashboards for your product teamEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis
Qualifications
6+ years of data science and analytics experience in industryDeep interest and passion for bitcoin and blockchain dataA graduate degree in physics, economics, statistics, or a similar STEM field, or a bachelor’s degree and significant relevant experienceExperience with scripting and data analysis programming languages, such as Python or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, Mode, etc)Experience with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience in a high-growth tech environmentAn appreciation for the connection between your work and the experience it delivers to customersIntellectual curiosity and a passion for what Cash App is building
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A: USD $184,100 - USD $225,000Zone B: USD $174,900 - USD $213,700Zone C: USD $165,700 - USD $202,500Zone D: USD $156,400 - USD $191,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Product Data Scientist Bitcoin Wallet

Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
We're building a bitcoin wallet for the next 100M bitcoin users - importantly for people around the world who likely haven't yet used bitcoin as a savings tool or for its payments capabilities yet. Our goal is economic empowerment -- starting with bringing easy-to-use, reliable wallet that helps people around the world own and manage their bitcoin, rather than having to rely on several tools and services that don't work well together and are challenging to use for a wide global audience.
Our goal is to make the future of money intuitive, and safe while helping customers build a better financial future. We're assembling a team experienced in an extremely wide range of disciplines, including business, operations, design, software, hardware, security, and so many other aspects of product delivery.
We are hiring our first Product Data Scientist to help our product, marketing, engineering and customer support teams make data-driven decisions about what and how we build for our customers when helping them manage their money. This is a unique opportunity to not only be embedded with an early stage team where you'll have close proximity to strategy and building so you can produce action-oriented analyses, but you'll also influence our data infrastructure and tooling decisions.
Because you will work with bitcoin data across different sources (internal systems, blockchain, lightning network, etc.), an understanding of how these technologies function or demonstrated experience or interest working with this data is a big plus.
You will report to our Head of Business within Bitcoin Wallet. You can be based anywhere remotely in the United States, as well as in several countries around the world including the UK, Ireland, the Netherlands, Germany, among other countries.
Come build the future of money with us! Learn more through our newsletter here.
You Will:
Empower our team to use data to make business decisions as we build a global product from its earliest days- an opportunity to build data analysis into the infrastructure of a team from day 1Develop both backwards-looking analysis on product performance, marketing effectiveness, monetization and pricing and other main product and business decisions, as well as forward-looking predictive models to help us better understand customers and their needs (e.g. cluster analysis that help us map customer segments back to product usage, retention models)Empower the teams with data and help them to make decisions on improving product features and building a meaningful roadmap (e.g. funnel metrics, analysis of churn and CS data, etc), as well as influencing important decisions like pricing based on acquisition and retention insightsAs a member of the Business team, you'll have the product and business context to be able to proactively spot trends and connect sometimes seemingly disconnected data sets to help the team develop and prove out hypotheses across the end to end lifecycle, forming cohort analysis on things like acquisition channels, etc.Navigate external data sets such as publicly available blockchain data insights (eg bitcoin blockchain analysis) to help us understand things like our total addressable market (TAM) as well as SAM and SOMDesign and help run statistically-significant experiments across different cohorts of customers and ensure hygienic approach to things like causation vs correlationCreate models that help us to analyze risk and security threats as well as optimize key decisions on our approach to money movement (i.e. transaction modeling)Support and guide in our early data infrastructure decisions with product and engineering - as we are a zero to one team, you will get to shape the data infrastructure decisions we make so we have scalable ways of working where data is easily accessible to the right people on our team, all while ensuring that data is secure and aligned with our privacy principles and commitment to customers and partners.
Qualifications
You Have:
Background in working in product-driven organizations and building and sharing data-driven insights to help make decisions with 8+ years of experienceExperience with cohort and funnel analyses, an understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilitiesExperience telling stories and making relevant recommendations with dataYou've set up and run A/B tests and other types of experimentation designs and can help ensure statistical significance in the right testing environmentWith technical skills, you can automate complex processes and construct data pipelinesExperience with data visualization tools (e.g. Looker, PowerBI, Tableau etc.)Work in collaborative team environments including Product, Marketing, Engineering, Design and ResearchThrives in earlier stage environments - you're a self-starter who gets excited about complex, sometimes vague, or longer-term problems and can be creative on how to solve those problems with data and insightsFamiliarity or interest in learning blockchain analytics as we are building in the bitcoin space and external data sets will help you uncover richer trends and recommendations; ability to connect internal and external data sourcesTechnical skills: Python or R, Advanced SQL
Additional Information
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, based solely on the core competencies required of the role at hand, and without regard to any 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.
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.