Lead Data Science Analyst Economic Capital

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
Responsible for all aspects of activities including framework and methodology development, implementation, execution and analysis of Economic Capital (EC) and CCAR Operational Risk programs, capital assessment, risk quantification, risk aggregation, capital allocation and capital usage in various business lines. Leads the development and implementation of advanced analytics including customer segmentation, statistical and financial modeling, optimization, advanced prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's degree in Analytics, Engineering, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's degree in Analytics, Engineering, Mathematics or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or relatedProficient in one or more of the mathematical and statistical modeling tools/languages including VBA, SAS, R, Python, SQL, Tableau, CCAR, CECL, and SASFamiliar with AWS Cloud, snowflake big data technique and experience using EssbaseExperience with statistical modeling, Machine Learning, Data Mining and other statistical advanced techniques is a plus
#LI-CR1
#Remote
#BI-Remote
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Lead Data Science Analyst Forecasting And Analytics Team

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
Responsible for all aspects of activities including framework and methodology development, implementation, execution and analysis of Economic Capital (EC) and CCAR Operational Risk programs, capital assessment, risk quantification, risk aggregation, capital allocation and capital usage in various business lines. Leads the development and implementation of advanced analytics including customer segmentation, statistical and financial modeling, optimization, advanced prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's degree in Analytics, Engineering, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's degree or PhD in Analytics, Engineering, Mathematics or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or relatedExperience with statistical analysis, regression modeling, time series analysis, forecasting and data miningStrong knowledge of SQL and experience of using SAS/Python/R etc.Experience designing and developing dashboards and visualizations in TableauEvidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving
#LI-CR1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Senior Data Scientist Bidder

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and data jobs for model training

The following experience would be a plus:

Hands-on with deep learning in production pipelines
Ad tech and/or mobile space.

Perks:

The opportunity to help continue to build a company with the founding team
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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


Senior Data Scientist

Job Posting Title
Senior Data Scientist
Why Big Fish Games?
Big Fish Games is the home of some of the biggest hit mobile casual games including EverMerge, Gummy Drop!, Cooking Craze, Fairway Solitaire, and many more.
We are curious and constantly seek improvement in all we do because that’s what our business demandsWe operate with good intentions, confidence, and humilityWe welcome diversity of background, thought, and experienceWe listen actively and value each otherWe foster a fun environment that inspires creativity
Overview
We are looking for an amazing Senior Data Scientist to support the different Game Studios at BFG.  You'll be responsible for running ad-hoc analysis, visualizing data, building machine learning models, and analyzing our day-to-day operations.  Successful candidates for this role have strong SQL and statistics skills, are passionate about games, and are clear communicators.
What you'll do
Engage with PMs, designers, CRM managers to understand business problems and identify analysis requirements and appropriate analytical solutionsDevelop a deep understanding of available data to drive ad-hoc analysis and answer questionsPerform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by businessEvaluate performance of new features and contentBuild machine learning models and work with engineering teams to productionalize model outputs.Effectively write, present and communicate research results with recommendations
What we're looking for
Bachelor’s degree or equivalent work experience in Computer Science or related discipline such as Statistics, Mathematics, Economics, Engineering, etc.Experience with SQL, R, PythonExperience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validation of resultsExperience with data mining, machine learning, statistical modeling tools and underlying algorithms3-8 years in the analytics or data science function Data visualization and dash-boarding building experience with Tableau, Looker, or similar toolBonus PointsExperience in the gaming spaceAdvanced degree in Analytics, Statistics, Mathematics, Economics, etc.Familiarity with GCP, MySQL, Hadoop, Hive
Big Fish Games is an equal opportunity employer. We bring unique talents together to build something special that’s why we welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status.
Benefits and Beyond
Employees constantly rate Big Fish Games highly for its leadership, flexibility, well-being, diversity and inclusion through quarterly surveys.
FLEX-Forward work environment: Customize the when, where, and how you work while delivering goalsHealth & More: Medical, dental, vision, life, disability, Teladoc services, employee assistance program (EAP)Work-Life: Wellness Friday (half-days), paid time off, parental leave, flexible work policy, studio holiday closure (Enjoy the week between Christmas and New Year!)  Wellbeing: Wellness fairs, weekly virtual workout classes, 24/7 access to mental health and wellbeing support, free therapy and counseling sessions for you and your familyWealth Care: 401k matching, flexible spending account (FSA), employee discounts, employee stock purchase programLearn & Grow: LinkedIn Learning subscription, mentorship program, career development, individual development plans, educational assistance on job-related professional development  Community & Fun: Company social events, employee impact groups, company swag, volunteer opportunities
About Big Fish
Building upon our 20-year legacy as a leader in the biggest gaming categories in the world, we are innovating and developing new products within the casual space to add to our extensive portfolio. Big Fish is dedicated to delivering amazing experiences for players to connect, compete and discover play, anywhere and on any device. This means games for broad global audiences in genres that are easy to learn, and difficult to master. Be a part of the team from the start.
Big Fish is part of Pixel United, the free-to-play, mobile-first video games business of Aristocrat Leisure Ltd (ASX: ALL)!
Location
Remote - USA (Job Posting)
Job family
Data Science
Contract Type
Regular
Time Type
Full time
Company
Big Fish Games


Sr Product Manager Data Science And Machine Learning

Clari takes pride in being the leader in Revenue Collaboration & Governance (RevCG) and providing the first platform to stop revenue leak and achieve revenue precision. With Clari’s Revenue Platform, all revenue-critical employees now have an enterprise system to run revenue. Forecasting, pipeline management, conversation intelligence, deal execution, coaching, and buyer collaboration (to name a few) are a maze of challenges made simple with Clari. Thousands of teams at leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision.

Clari's revenue operations platform enables experiences that are mission-critical for our users. It connects to our customer's most important business systems integrating data that we use to power our applications, analytics, data science, and APIs. We are building a platform of the future that lives and breathes data and intelligence which is instrumental in supporting our continued journey of explosive growth.

We are looking for a product manager who is passionate about data and machine learning to drive intelligence capabilities throughout our stack. In this role, you will have the opportunity to expand Clari’s data science capabilities and embed them throughout our platform.

This is a work-from-home opportunity based in Alberta, Ontario or British Columbia provinces. Candidates must be a Canadian Permanent Resident or Citizen. We are unable to provide work authorization sponsorship at this time.

Responsibilities

Drive the vision and roadmap for data science in the Clari platform
Partner with engineering on approaches to leverage machine learning
Partner with product managers to maximize the impact of intelligence throughout our targeted revenue process applications
Develop tight working relationships with customers, partners, and internal stakeholders, ensuring that we’re solving our users’ and customers’ most pressing problems
Collaborate with Product Marketing, Growth, and GTM teams to shape and execute go-to-market strategies
Ensure that our data science solutions are built for trust, scale, extensibility, and reliability
Leverage data from multiple sources to inform product decisions and drive customer adoption
Set targets for product adoption & impact, and work with success teams to ensure our product goals are met

Qualifications

4+ years of SaaS product management experience, from inception to delivery
2+ years of data science/machine learning experience (e.g. time series analysis, HMM, Deep Learning for classification, and NLP)
Experience managing complex stakeholder relationships, including engaging with users, customers, partners, and industry analysts
Working familiarity with databases, data management, and modern API-based software architectures
Working familiarity with modern ML development stack, open-source libraries, and hosted ML services (e.g. Tensorflow, PyTorch, NumPy, AWS Sagemaker, DataRobot, etc.)
Experience delivering systems optimized for scalability and extensibility
Strong written and verbal communication skills with a forte for breaking down complex technical problems
Outstanding presentation skills with the ability to communicate business and technical topics and adjust to diverse audiences

Work-Life and Benefits @ Clari

Team-bonding activities and company-wide events
Flexible working hours and remote opportunities
Internet, phone, and wellness reimbursements
Pre-IPO stock options

#BI-Remote #LI-Remote

You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a nurturing and inclusive environment. One that is free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work for several years running. We’d love to have you join us on our journey to remarkable!

If you feel you don’t meet 100% of the qualifications outlined above, we want you to apply! Clari believes in hiring people, not just skills. If you are passionate about learning and excited about what we are doing, then we want to hear from you.

Clari focuses on culture add, not culture fit. One of our values is One with Customers, and we know we can serve them better when we involve as many different perspectives as possible. Our team is made stronger by what makes you unique, so we hope you’ll bring your whole self to the job.


Data Scientist Deep Learning Ml Nlp

Nightfall makes safeguarding sensitive data for every application simple and seamless. Organizations, from startups to global brands, trust Nightfall's software platform and APIs to discover, classify, and protect sensitive data.

As an early Data Scientist at Nightfall, you’ll design & implement models that enable us to detect sensitive data with high accuracy across petabytes of heterogeneous & unstructured data.

Responsibilities:

Conduct state of the art research in natural language processing, deep learning, and machine learning.
Selecting and engineering features based on mining massive data sets.
Prototyping & testing algorithms to innovate state of the art detectors of sensitive information.
Building, training, tuning a variety of machine learning & deep learning models.
Enhancing data collection procedures to include information that is relevant for building state-of-the-art detectors.
Productionize data science models and collaborate closely with data engineering & product team to establish a feedback loop.

Ideal Qualifications:

BS, MS or PhD in Computer Science, machine learning, NLP, deep learning, AI or a related technical field.
Strong software engineering skills across multiple languages including but not limited to Python, Javascript, etc.
Experience building one of the following production systems in industry: natural language processing, bayesian models, information retrieval, learning to rank, recommender systems, speech recognition, unsupervised learning.
Good mathematical understanding of popular NLP and/or machine learning algorithms.
Hands-on experience with NLP tools, libraries, and corpora.

About Nightfall:
Nightfall is a cybersecurity startup dedicated to helping organizations secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in modern organizations is often sprayed across a broad set of cloud data silos, and it’s a herculean task for security & compliance teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for organizations to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and even their own apps. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup founded in San Francisco, well-funded by leading institutional investors like Bain and Venrock, and a cadre of security & IT leaders from Okta, Salesforce, Atlassian, Splunk, FireEye, and more. Learn more on our website www.nightfall.ai or by reaching out via email at careers@nightfall.ai.


Senior Data Scientist

About the Curve Health:
Curve Health is a mission-driven health tech company focused on empowering care providers to treat patients in place, even under acute conditions that would otherwise require a transfer to the emergency room.  Our Mission is to catalyze hope + innovation to enable better care for all.  This is no glorified Zoom consult!  Rather our platform is designed to facilitate remote care for even the most complex patients during an acute event leveraging complex EHR integrations for improved visibility, providing a much better patient AND provider experience at a lower cost impact.  Who doesn’t love a win-win?
We’re passionate about delivering parity of care over our telemedicine platform, creating the benefits of at-home hospital-quality care for seniors.  We’re equally passionate about building cutting-edge, modern technology with the latest tools and frameworks, and enjoying ourselves and the journey.
About the Role:
We are looking to build a best-in-class data science team. We’re excited about finding someone who can own the end-to-end data science pipeline, including experience with data engineering, providing insights from descriptive analytics, and constructing complex statistical models.
The Sr. Data Scientist will focus on building algorithms that help our partners assess risk in a healthcare setting. As such, we’re looking for someone with a background in statistical modeling and programming. You’ll need past experience with cleaning and wrangling large datasets, previous work with regression and classification algorithms, and a willingness to help others understand and use your results.
Responsibilities:

Build algorithms and analyze large, complex datasets to generate predictions and health-related insights using advanced data science and statistical methods.
Manage the full data science process, from assessing data quality to evaluating model output.
Scoping project requirements, including the ability to understand how analytics and algorithms fit into the broader goals.
Deliver results to various stakeholders across the company with informative, succinct visualizations and summaries.
Work with engineering to incorporate your work into user-facing software.
Gather, organize, and combine disparate data sets to help the data team gain additional value from our information sources.
Automate data processes and analyses to provide updated metrics and insights to stakeholders.
Add to the inventory of tools and routines to accelerate experimentation.
Interact cross-functionally with other teams including software, clinical, operations, research, and product development.

Required Qualifications:

5+ years of experience in statistics, data science, or machine learning.
Strong skills in building and tuning algorithms, including a background using common statistical and machine learning techniques.
Expertise in SQL and either R or Python.
Background using version control and documenting data processes and methodologies.
Ability and motivation to absorb new, complex domain knowledge quickly.
Evident verbal and written communication skills ranging from explaining analyses to a variety of audiences to communicating project goals, plans, and progress.
Demonstrated aptitude to set and follow a productive agenda independently, while keeping coordinated with the team.

Preferred Qualifications:

Experience with data related to chronic conditions or in a healthcare setting
Skilled with multilevel/mixed-effects modeling
A personal connection to, or passion for, caring for people living with chronic conditions
Hands-on Snowflake experience

Why Curve Health?
We are a deeply collaborative and insight-driven team looking for new perspectives to challenge our thinking and unlock new opportunities to grow (individually and as a business).  We are serious about diversity and inclusion.  We are a company built on the foundation of a proven, award-winning product and pointing it at new users to unlock its full potential.  We are a remote team that is dedicated to creative collaboration and real culture, with weekly happy hours, whiteboard sessions, and all-hands meetings to keep us connected.
Benefits:

A remote work environment
Medical, dental, and vision package
Unlimited vacation
Competitive salary + equity
Open forum for innovation and ideas
A personal development plan designed to help you (and us) grow
A fun and light work environment with serious responsibilities


Data Scientist Square Staff Payroll

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable product experience. As a member of the Square Staff team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and bringing our products to market. You will partner with the product team to lead experimentation & growth plans, partner with engineering to implement comprehensive and reliable data logging, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data. We are looking for seasoned and passionate data scientists to join our data team for the each of following product areas:
Payroll - In addition to enabling businesses to take credit card payments, Square offers a variety of add-on features to help run and grow a business. Square Payroll is a full-service payroll, automated tax filing, and employee benefits system. As a data scientist on the team, you will help drive and execute on product and go-to-market initiatives for Square Payroll. You will collaborate with Product Managers, Product Marketing Managers, Engineers and Designers to optimize the product experience for driving acquisition and retention to deliver value to our broad community of Sellers.
You will:
Work directly with the product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsLead, coordinate, and execute on complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaLead the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service analytics so your expertise can be leveraged where it is most impactful
Qualifications
You have:
3+ years of analytics and data science experience or equivalentB.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience building relationships to influence product partners with dataExperience participating in cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, LTV, cross-selling, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)Fluency with general coding and scripting skills
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist

Company Description
Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.
Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together.
There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.
Job Description
As a Data Scientist, you will be responsible for partnering with Product mangers to own data for the entire product. You will be developing ongoing analyses and reports to support our expanding Merchant(Seller) product suite. You will analyze integration, retention, adoption, product funnel plus other pertinent aspects of product launch/operation/GTM etc.You will also analyze business performance, deliver data driven business insights for decision making, and provide insights on product features, services (as for both new concepts and existing products), design A/ B testing and communicate findings.
Key Responsibilities
Work closely with the leadership team, Product and Engineering & other stakeholders to understand their data science needsDevelop a formalized process to identify, analyze, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholdersDesign and conduct analyses, build datamarts, ship dashboards to provide insights at scale that support growth strategiesAssist Product & other stakeholders teams in developing methodologies/framework to accurately assess and measure impact of our business strategySupport targeted business activities, including opportunities for product and process improvement with a focus on driving significant business growthDesign and execute A/B and multivariate testsIsolate, identify and communicate data issues and own data quality for the analyses and reports producedMonitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise
Qualifications
You have:
5+ years of industry experienceAre self motivated and curiousTechnical initiative and leadership on previous projectsAn ability to uphold a high technical bar while making pragmatic tradeoffs.Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative discipline
Technologies we use:
SQL, PythonAmplitude, Sumo Logic (optional)Looker, Tableau, GitSpark, Hadoop, Hive, Databricks Snowflake (not a must-haves but past exposure can be an asset!)
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.


Staff Data Scientist Financial Crimes Technology

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
The Financial Crimes Technology Data team at Cash App finds and reports financial crimes activity on Cash App. We work globally with partners in Compliance, business, engineering, and product to guarantee we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
We are leveraging Data Science as an integral part of our toolkit to fulfill our mission. As Cash App scales, we are monitoring billions of dollars in transactions across traditional payment and blockchain networks. We uncover and put an end to money laundering, suspicious, and illegal activities before they impact our users. We are looking for a Staff Data Scientist to join our fast growing team with the goal of identifying impactful problems worth solving, tracking and communicating the team progress to leadership and providing deep dive analytical support to our partners and stakeholders as necessary.
This is an IC role, but the Staff level has additional leadership responsibilities that include envisioning, owning, and driving strategic roadmaps & priorities to completion by collaborating with cross functional stakeholders as well as mentoring & growing junior team members.
You will:
Define, build and track metrics that demonstrate health of the Compliance programTrack the impact of the data team in optimizing Compliance operationsEffectively communicate our work with team leads, cross-functional stakeholders and business leaders on a regular basisDefining the Risk Based Framework followed by quantifying and tracking our platform risk over timeModeling the cost to Compliance for new and significant Product Launches to aid in timely operational capacity planningImplement and automate case volume forecasting to aid the annual and quarterly Operations capacity planning exerciseOwn & deliver ad hoc analyses and deep dive investigations for poorly defined, but important business problems that aid in effective decision makingBuild deep connections and trust with Compliance Operations, Compliance Analytics and Product teams, particularly the Health Abstraction.
Qualifications
You Have:
6+ years of advanced Analytics/Data Science experience in the technology industryAn MS degree in computer science, data science, operations research, business analytics, stats or a related technical fieldAdvanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) as well as experience with common Python DS stack (numpy, pandas, matplotlib, plotnine etc.)Extremely strong written and verbal communication & presentation skills and an ability to build strong relationships and influence with business & product partnersMentored and grown Junior Data Analysts and Data Scientists on the teamHave a curious, passionate, growth-oriented mindset
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
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.


Marketing Data Scientist Manager

Company Description
Afterpay is transforming the way we pay by allowing customers to buy products immediately and pay for their purchases over four installments. The service is completely free⁵ for customers who pay on time - helping people spend responsibly. As of December 31, 2021, Afterpay is offered by more than 122,000 of the world’s favorite retailers and more than 19 million active customers have adopted the service.
Afterpay is currently available in Australia, Canada, New Zealand, the United States and the United Kingdom, France, Italy and Spain, where it is known as Clearpay. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is a wholly owned subsidiary of Block, Inc. (NYSE: SQ)g.
Job Description
The Opportunity
Afterpay’s Global Marketing Science team is looking for an experienced Marketing Data Science leader. This team works closely with partners across the marketing function to personalize, measure and improve our ability to acquire, activate and retain customers.
You will lead a team of Marketing Data scientists working across the entire marketing funnel and across all marketing channels in a wide range of marketing domains, using data science tools and techniques to tackle the opportunities and challenges Afterpay has.
You will collaborate with senior team members to deliver data science projects from scope and problem formulation to recommendations and implementation. You will be a trusted thought partner of our growth and marketing teams and we strive to make an impact and help deliver OKRs.
We are much more than our job descriptions, but here’s where you will begin:
Work closely with the Marketing team to understand and deliver their data science, analytics and insights needs.Lead a team of experienced marketing Data Scientists, including goal setting and career developmentSet the Global Marketing Science team roadmap. Manage and effectively prioritize the pipeline of requests.Lead the design of models, analyses and reports that provide insights that enable the marketing team to understand marketing performance, create personalized experiences and improve marketing strategy.Visualize and articulate data science projects to an executive audience and external partners.Lead the development of methodologies/frameworks that accurately assess and measure the impact of our business strategySupport targeted business activities, including opportunities for product and process improvement with a focus on driving significant business growth.Lead the design, execution and analysis of A/B and multivariate tests.Monitor the quality and integrity of marketing reports/dashboards/pipelines and troubleshoot issues that arise
Qualifications
Who are you?
Like us, you’ll be deeply committed to delivering positive outcomes for customers and passionate about shaping the future of Afterpay. You like to keep it real with your actions, be brave with your decisions, do the right thing for all our stakeholders and shape the future with excitement.
Quantitative background in statistics, mathematics, computer science, or related disciplines7+ years experience in data science or analytical roles, including 2+ years team leadership, using techniques such as customer profiling, A/B testing, ROI measurement, predictive modeling, regression and classification analyses.Good marketing domain knowledge across channels such as Paid Social, Email/Push, SEO/SEM, TV, Radio, Out-Of-HomeProficient using SQL and Python to extract, manipulate, analyze and model large volumes of dataAbility to do statistical analyses without guidance including descriptive and inferential techniquesExperience with data visualization tools like Tableau, Looker or PowerBI.Excellent critical thinking, problem solving and analytical skills, combined with effective judgmentExcellent written and verbal communication skillsExcellent project and time management skills, with the ability to handle multiple projects simultaneously effectively, with tight deadlines in a fast-paced environment
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


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, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Consumer Product Data Scientist

Company Description
Afterpay is transforming the way we pay by allowing customers to buy products immediately and pay for their purchases over four installments. The service is completely free⁵ for customers who pay on time - helping people spend responsibly. As of December 31, 2021, Afterpay is offered by more than 122,000 of the world’s favorite retailers and more than 19 million active customers have adopted the service.
Afterpay is currently available in Australia, Canada, New Zealand, the United States and the United Kingdom, France, Italy and Spain, where it is known as Clearpay. Afterpay is on a mission to power an economy in which everyone wins. Afterpay is a wholly owned subsidiary of Block, Inc. (NYSE: SQ)g.
Job Description
The Consumer Product Data Science & Machine Learning team in Afterpay is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders.
As a Senior Consumer Product Data Scientist at Afterpay, you’ll be responsible for key KPIs for the company's profitability, and customer experience metrics. You will be tasked to set goals and manage through strategy, and close collaboration with product, engineers and business stakeholders. You will Work closely with Data Science and Machine Learning leadership team, global consumer experience product teams and engineering teams to drive the consumer engagement, activities and conversion of Afterpay shop directory (https://www.afterpay.com/) and mobile app
You will:
Actively participate in roadmap and timeline discussions, make decisions that impact timelines and success of important initiatives. Independently lead large, impactful projects that can make or break the team's topline OKRsConduct analysis and set up reports to provide the insights at scale to meet business growth needs and help our retail partners reach out to millions of Afterpay customers effectivelyCollaborate and communicate with stakeholders across Product, Engineering, Marketing, Sales and data teams to deliver analytical insights and recommendationsDesign and execute experiments, publish in-depth and trustworthy result readouts of the new product feature launches and actionable recommendations on continuous product improvementsBuild data driven optimization models, forecasting models and experimentsProvide story-telling with excellent data visualization, and regularly present at a leadership level and to external teamsBuild the data solutions and data products for the product and engineering innovations, shop directory content management, and growth use cases etc.
Qualifications
You Have:
Like us, you’ll be deeply committed to delivering positive outcomes for customers and passionate about shaping the future of Afterpay. You like to keep it real with your actions, be brave with your decisions, do the right thing for all our stakeholders and shape the future with excitement.
A minimum of 5 years experience in quantitative statistics, math, business, or related disciplines, with specific experience in consumer products, e-commerce, fin-tech, search and personalizationExperience in data mining and analysis tools such as Python/ SQL etc.Develop broader mathematical toolkit for understanding the business (including fundamental learners, e.g. a decision tree)A strong understanding of modern machine learning techniques (libraries/tools) is advantageous Drive business decisions through advanced communication and storytelling using data across all organizational levelsAbility to do statistical analyses with minimal guidance including descriptive and inferential techniques；Confident with product analytics techniques such as User Profiling, Predictive Modeling, Regression and classification analyses, A/B testing, etc.Work experience with data visualization tools like Tableau, Looker, or Power BI
Additional Information
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Perks
We want you to be well and thrive. Our global benefits package includes:
Healthcare coverageRetirement PlansEmployee Stock Purchase ProgramWellness perksPaid parental leavePaid time offLearning and Development resources
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Auto Data Scientist Pricing R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring?

Strong experience with applying advanced quantitative or predictive modeling techniques
Actuarial experience preferred in Auto and Property
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected. With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Senior Data Scientist

Empower the Individual Through Crypto
Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.
Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it's a movement.
At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice — our Office Optional Policy allows employees to choose to work from one of our physical locations or from home. Select roles that are location-specific will still be eligible for flexible schedules.
The Department: Trust and Safety
Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, legal, data, and operational professionals who develop new approaches to solving classic problems using cutting edge tools and processes. Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the data analysts and scientists, associates and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including fiat returns, identifying low quality and fraudulent users, and using on-chain information to support fraud detection.
The Role: Senior Data Scientist
As a member of our Trust and Safety data intelligence and strategy team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.
Responsibilities:

Process, clean, and visualize data from complex databases and create top-notch reporting solutions
Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
Design experimentation frameworks such as decision trees and A/B test models,  identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates
Design, build and enhance dimensional models for BI solutions
Perform root cause analysis and resolve production and data issues
Create test plans, test scripts, and perform data validation
Tune SQL queries, reports, and ETL pipelines
Build and maintain data dictionary and process documentation
Research new tools and technologies to improve existing processes

Qualifications:

5+ years experience in data analytics, strategy analytics or modeling role
5+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
Advanced skills with SQL are a must
Proficient in Python
Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc)
Experienced in working collaboratively across different teams and departments
Strong technical and business communication
This role may require on call rotations

Preferred Qualifications:

Proficient in Developing LookML
Knowledge and experience of financial markets, banking or exchanges
Experience working in small firms or start up technology first

It Pays to Work Here
We take a holistic approach to compensation at Gemini, which includes:

Competitive Compensation and Profit-Sharing Equity
Flexible vacation policy
Retirement Plan Matching
Generous Parental leave
Comprehensive health plans
Training and professional development

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.
#LI-#LI-REMOTE


Artificial Intelligence Leader

Join the next revolution in intelligence. In this highly visible role, you will directly contribute to a product that redefines how we digitally communicate and interact with the world—people and things.

You will lead an incredible team to create groundbreaking technology that beautifully combines natural language processing, big data, and artificial intelligence. We promise this will be nothing short of a massive undertaking that will forever change everything.

Skills and Experience:
Changing digital interaction is hard. Changing the world with digital interaction is even harder. Our success demands creativity, curiosity, and the willingness to collaborate from every Entefyer. The ideal candidate for this role possesses:

Requirements

Ph.D. in Artificial Intelligence, Natural Language Processing, Machine Learning, Physics, Mathematics, or related field preferred.
8+ years of relevant experience.
Distinctive ability to attract and select the right people for the right position.
Demonstrable ability to define and quickly develop POCs and prototypes.
Ability to quickly learn complex systems and new technologies.
Strong communication and collaboration skills.
Courage to innovate and fail.
Demonstrable experience in Computer Vision, NLP/NLU, Machine Learning, or advanced Data Science.
Proficiency with Deep Learning is preferred.

Visit www.entefy.com and www.blog.entefy.com


Senior Data Scientist

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere.

Skills and Experience:
We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.

Requirements

Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred.
5+ years of relevant experience.
Demonstrable proficiency in Python, Scala, SQL, or R.
Strong data visualization and reporting skills.
Expertise in extracting insights from real-world structured and unstructured datasets.
Proven track record delivering high-value, advanced analytics.
Experience leading the work of other data scientists or analysts is preferred.
Strong communication skills
Startup agility and versatility.

Visit www.entefy.com and www.blog.entefy.com.


Data Scientist

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere.

Skills and Experience:

We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.

Requirements

Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred.
3+ years of applicable work experience.
Demonstrable proficiency in Python, Scala, SQL, or R.
Strong data visualization and reporting skills.
Proven track record delivering high-value, advanced analytics.
Experience leading the work of other data scientists or analysts is preferred.
World-class ability to extract and communicate insights from real-world datasets.
Startup agility and versatility.

Visit www.entefy.com and www.blog.entefy.com.


Senior Data Scientist

The Role
As a Data Scientist on the Striveworks Technical Engagements team you will be challenged—and trusted—on day one to be a core contributor to the projects and direction of the company. You will be a key Striveworks representative and solutions provider to project sites and customers where Chariot, our proprietary data platform is deployed. You will be leading and working alongside a team of data scientists, software engineers, and site reliability engineers to transform machine learning models into functional products.
You will use your expertise to integrate and apply the Striveworks platform, and rapidly prototype and deliver machine learning capabilities for our customers through custom algorithms and software systems. You will tackle real-world problems as they unfold, utilizing your technical expertise and communication skills to provide reliable and scalable solutions.
The anticipated base pay range for this position is $190,000–$240,000/year. In addition to base pay Striveworks offers annual performance-based equity paired with a lucrative cash bonus, a full benefits suite, and two compensation reviews per year.
You are right for this challenge if you:

Value and possess technical expertise and you push the boundaries of your own capabilities
Are outcome-driven, not requirements-driven
Know that customer-facing activities, technical communications, and time management skills are all important
Are passionate about the intersection of Software Engineering and Data Science

This role both allows and requires flexibility in work location. At times, you will be tasked with on-site travel to customer locations. At other times, you can be based in a location of your choice, or visit our Austin, Texas headquarters.
Potential projects include:

Development of machine learning models and custom analytic algorithms on image, video, text, geospatial, time-series, and/or tabular data sets
Orchestration and automation of complex data engineering and analytic pipelines
Implementation of and integration with modern event-driven and microservices architectures
Everything as Code
Implement and deploy software into cloud environments
Opportunity to conduct mission-critical field work

The Right Fit
We spend a lot of time in our hiring process talking about shared values, because we passionately believe that fostering an environment where people can self-actualize and pursue greatness is the best way to achieve our individual and collective goals. What does this mean? We want an environment where our team members persevere relentlessly to achieve their goals. We want an environment where team members know the team has the same goals, and they make and accept decisions for the team with humility. If your say/do ratio is 1, if you know that there is no smartest person in the room, then we’re already on the same page.
Here's what else we are looking for:

Expertise in machine learning and data science
Exposure to algorithms, data structures, and design patterns
Strong previous experience in building and delivering production analytics
Experience leading a team
Comfort with Python
Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
Exposure to graphical user interface (GUI) design concepts
Familiarity with database design and architecture: relational and non-relational
Driven, self-directed personality
Strong sense of mission and commitment to making a difference
B.S. degree in computer science, machine learning, or a related discipline; and 8+ years relevant experience
Active Top Secret security clearance
Able and willing to travel up to 25%

The Wish List
We are very interested in Data Scientists that possess the above qualifications, and heavily appreciate and consider the addition of:

Experience with ETL pipelines, data pipelines, and/or workflow automation
Exposure to one or more cloud architectures
Understanding of JavaScript frameworks such as React, Vue, or Angular
Experience implementing RESTful or GraphQL APIs
Comfort with deep learning library (PyTorch, TensorFlow) concepts and usage
Understanding of synchronous, asynchronous, and concurrent programming
Understanding of networked and distributed computing
Knowledge of messaging systems such as Kafka, RabbitMQ, or similar

The Tech Stack
We believe in constant curiosity and peer-driven learning. As a Data Scientist for Engagements at Striveworks, you will learn about—or teach—the latest software technologies and processes, participate in open-source projects, and take part in pair programming. You will be able to grow your skills in:

Python, PyTorch, NumPy
Docker, Kubernetes, Terraform, kOps
React, Typescript, Angular
Flyte

Find some of our public projects at github.com/Striveworks.
The Benefits

Top-of-market salary and total compensation
Generous equity plan
Health/vision/dental insurance
Free lunches, snacks, and happy hours
Flexible PTO plan

Striveworks

The world’s looked to data analytics to bridge the gap between floods of data and the struggle to use that data effectively to make timely, impactful decisions. Today, most organizations are awash in analytics that “aren’t quite right”—models that were developed too generally, or too slowly, to be effective in dynamic, fast-paced environments. Striveworks is simplifying ModelOps with a powerful and extensible platform that instantiates the data analytic process as code.
Striveworks is trusted by leading Fortune 500 firms as well as leaders in the public sector to be their primary solution for managing model development, monitoring, and governance—and ensuring those models solve the real challenges their organizations face.
Striveworks’ Chariot platform enables users to turn their own production data into models and turn models into production systems. Uniquely, as you train, test, deploy, and use models, our lineage system enables you to track not only the “upstream” provenance of model and data sources, but also the “downstream” usage of the resultant model inferences. Combining this with a highly principled experience for data and model development, Chariot gives our customers in highly regulated industries an unmatched governance solution over the top of a performant ModelOps platform.

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion or belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us
Striveworks is a participating employer in the E-Verify program.


Director Data Scientist Auto Telematics

Purpose of Job
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.
The candidate selected for this position will work with the within the P&C Data Science organization and lead the telematics team. The candidate will leverage telematics and contextual data to drive strategy and innovation across all P&C lines of business.
Leads a team of Data Scientists responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to that generate management insights and enable customer-facing applications.  Utilizes technical acumen and in-depth understanding of business processes and practices to influence the creation and execution of operational and strategic plans.  Partners with IT and other areas to build major improvements to analytical processes and systems.  Advises Senior Leadership on the development of data science solutions and long-term goals and or strategies.  Maintains relationships with academic and industry thought leaders to ensure the enterprise has access to cutting-edge thinking and technologies.
Job Requirements
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, standards, and procedures for business activities.Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.Oversees and executes the exploration of promising new technologies, analytical methods and data sources (internal to USAA & external) that have potential to add value to the enterprise.Partners with enterprise analytical and IT teams to build USAA core capabilities and processes.Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.Understands the business direction, and environment and strategies to identify and recommend solutions that influence decision makers and drive change.Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.Builds and leads a high performing team of experts in advanced analytics; develops team reputation as highly skilled experts in the field of data science.
Minimum Requirements:
Master’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field.6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years of experience in predictive modeling, large data analysis and computer science.3 years of direct management experience.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
Experience with Auto telematics and common uses of telematics in the insurance industry.Proven experience delivering business value utilizing Internet of Things, or other connected edge devices.Experience with cloud solutions that leverage AWS for machine learning tasks, such as EMR, SageMaker, and Snowflake.Experience with Big Data feature engineer and modeling with time series and geospatial data.Experience with the full modeling lifecycle in a large financial services organization.Experience managing across multiple value streams concurrently.
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: $155,400 - $279,800* (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.
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 not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Data Scientist Mid Level Model Development

Purpose of Job
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.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions.  Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage.  Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
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, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
Preferred Experience:
Advanced working experience using Python.Experience with Python implementation of data science models.Financial Services industry experience is a plus.
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: $88,200 - $158,900* (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.
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.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.