Senior Data Science Analyst

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 problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
What You'll Do

Work closely with management to execute analytical initiatives.

Solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.

Create reports and dashboards to closely monitor performance metrics and provide insights.

How You'll Do It

Develop advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.

Collaborate with cross-functional partners to understand their business needs, formulated and completed end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.

Manage multiple priorities, communicate business performance and project progress to management & business partners.

Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitate implementation of work product and ensure accuracy.

Consistently follow standard work processes and documentation requirements. Recommend improvement to work processes to increase efficiency while maintaining quality of work. Continuously improve technical and leadership skills through training and development.

Qualifications You'll Need
The Basics

Bachelor’s Degree in Analytics, Engineering, Statistics or related field

2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

Bonus Points If You Have

Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field

Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

#Remote
#BI-Remote
#LI-CR
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.


Finance Data Science Manager

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
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Job Summary
This Model Production and Automation Manager role is in Discover’s Finance Data Science department, serving as a Subject Matter Expert in developing and maintaining financial forecast model execution process to produce forecasts for business planning, capital stress testing (CCAR), and other financial analysis activities. Financial forecasts include credit loss, CECL reserve, loan receivables, payments, and revenue across Discover’s card, student loan, personal loan, and home loan products, as well as direct-to-consumer deposits.
What You’ll Do

Manage a team of data scientists/modelers to provide modeling solutions to Discover businesses, while adhering to enterprise compliance and governance standards.

Direct and lead the team to develop models, utilizing machine learning and other algorithms.

Present the results of mathematical modeling and data analysis to management or other end users.

Serve as a Subject Matter Expert in developing and maintaining statistical/econometric models to forecast credit loss, reserve for business planning and capital stress testing.

Lead all technical aspects of model performance tracking, model risk management related analysis, and research on modeling techniques and tools to serve business needs.

Develop advanced analytics solutions including segment, vintage, portfolio, and customer analytics to produce reasonable loss forecasts. Identify the key leading indicator for credit losses and evaluate the impacts from credit strategies.

Maintain strong knowledge in model execution environment, including process automation, data structure development, programming, and testing across technology platforms to ensure accuracy and efficiency.

Manage process automation, data structure development, programming, and testing model implementation across technology platforms to ensure accuracy and efficiency.

Analyzing, designing, and validating structured/unstructured data sources, data transformations, data lineage, data quality rules, data models, built on traditional warehouses as well as Big Data systems.

Partners with the business and technology teams to develop innovative data solutions to support advanced analytics initiatives such as AI, Machine Learning, and traditional analytic platforms.

Support the analysis of financial forecast result and prepare management reports.

Manage application development cycle, including collecting and preparing the business requirements for technology teams, conducing user acceptance test and implementation.

How You’ll Do It

Motivate and mentor the team of data scientists/modelers to grow their skills and careers―creating a nurturing environment that encourages innovation and continual learning.

Leverage deep technical knowledge and leadership skills to drive development of data-science solutions and implement data-driven recommendations and outcomes.

Act as a liaison among Corporate Risk, Finance, decision management, business technology teams, and other business partners in model-lifecycle to escalate model time to market.

Build relationships with business partners.

Allocate resources and prioritize projects, ensuring modeling projects are delivered in a timely manner.

Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of "best-in-class" analytical capabilities to unlock new proficiencies and enhance performance, and quickly adapt to modern modeling techniques. Demonstrate technical knowledge in analytical tools.

Qualifications You’ll Need
The Basics

Master's degree in statistics, math, computer science, engineering, economics, or related quantitative field

4+ years of experience in project management and modeling, or related field

Bonus Points If You Have

Ph.D. in statistics, math, computer science, engineering, economics, or related quantitative field

6+ years of experience in the financial service industry, or related field

1+ years of experience in people management or project management

Python, SQL, H2O, Pyspark experience

Credit Analytics on consumer lending products

#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.


Principal Data Science

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
JOB SUMMARY:
Responsible for working closely with management to execute analytical intiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Major Responsibilities:
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. 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. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.
Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.
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
Qualifications:
Bachelors in Analytics, Engineering, Statistics required
6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related
Preferred: Masters in Analytics, Engineering, Statistics, Mathematics
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/ Data Science or related
#LI-LG1
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 Manager Data Science

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
What You’ll Do

Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.

Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.

How You’ll Do It

Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.

Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.

Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.

Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.

Collaborate 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. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.

Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.

Qualifications You’ll Need
The Basics

Bachelor’s Degree in Analytics, Engineering, Statistics or related field

8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field

2+ years of experience in People Management

Bonus Points If You Have

Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field

6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field

#Remote
#LI-RD1
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

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
·         Leads the development and implementation of advanced analytics including customer segmentation, optimization, 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 Statistics
·         4+ 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 Statistics
·         2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
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.


Director Data Science

Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Engineering team is working to simplify the way people work together. They’re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact.
Role Description
The Data Science team is a central function which seeks to leverage data to help make better business decisions. This team leverages a variety of data sources and quantitative techniques to synthesize stories around how our customers use our products and develop key insights and actionable recommendations for our product teams.
We're looking for a Director, who will build and lead a team of data scientists to partner with growth, revenue, and product teams to answer key questions about how to grow revenue, scale a business, and launch high-impact initiatives. You’ll act as one of the most senior analytics leaders at Dropbox, and will work alongside product, engineering, design, marketing and research executives to advise on the company’s most important quantitative projects and achieve its most strategic business goals, as well as partner with the product organization to create and execute a quantitative monetization strategy tied to our products.
To do this, you’ll align key analytics projects for you and your team with business objectives, and communicate your insights broadly across multiple leadership teams. You’ll also have the unique opportunity to define what analytics means at Dropbox by influencing groups across the company to better understand how they can leverage data to achieve their most ambitious goals, leading by example. This role is highly strategic and uniquely is positioned to drive multiplier impacts for Dropbox as we continue to innovate and expand our core products. At the same time, you will get to lead an amazing team of talented, passionate data scientists and partner with senior leaders across Dropbox functions to shape the future of our business.
Responsibilities
Build and manage a team of high performing managers and data scientists to deliver best in class analytics Work with cross-functional teams (including Machine learning, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate on our product strategyLeverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps  Create personalized segmentation strategies leveraging ML models to enable targeting of offers and experiences based on user attributes Identify key metrics and leverage automated dashboards to track health of the business to inform financial outlookEnsure active collaboration with cross functional partners and perform analytical deep-dives to analyze problems, size opportunities and optimize through experimentation. Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenCoach, mentor and help set strategy for Data Scientists to drive even more impact for the teamUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field10+ years experience of leveraging data-driven analysis to influence key business decisions, preferably in a tech company3+ years directly managing data scientists, quantitative researchers, or product analystsProven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impactAbility to lead and inspire a team who converts data into insights Ability to influence prioritization and execution of high impact projects effecting customer experience and monetizationAbility to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impactExcellent verbal and written communication skillsPrevious experience building data driven programs and teams - experience with SQL and large datasets, deep understanding of statistical analysis & experiment design
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
Benefits and Perks
Generous company paid individual medical, dental, & vision insurance coverage

401k + company match
Market competitive total compensation package
Free Dropbox space for your friends and family
Wellness Reimbursement
Generous vacation policy
11 company paid holidays
Volunteer time off
Company sponsored tech talks (technology and other relevant professional topics)


Data Scientist

Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role Description
We're looking for a Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
Develop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsCreate personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trendsExtract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experimentsTranslate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlesslyWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopDeep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesSolid background in running multivariate experiments to optimize a product or revenue flowStrong verbal and written communication skillsProficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).


Senior Data Scientist

We are looking for Senior Data Scientists with a strong mathematical background to work alongside our Engineering Teams to build the next generation of retail and commerce models that delight and empower marketers.  The ideal candidate is one that has several years of experience researching, building, serving, and maintaining data science models at scale. They are able to work with our Product Team to translate product requirements into the correct objectives, perform literature searches to identify the right approach, design thoughtful experiments, and write production code to serve the model and maintain it.  They have first-hand experience with what works and what doesn’t, and are eager to share this experience with more junior members and guide them through that process.  They are also able to, and excited to, help architect the data science infrastructure needed to accelerate innovation on models and facilitate serving and maintaining them. Finally, they should be curious and eager to identify and explore the myriad of other products that can be built on our unique data asset.  Our culture emphasizes making good tradeoffs, working as a team, and leaving your ego at the door.

Over the past six years Bluecore has shown that Marketing Teams can create meaningful and valuable experiences for their customers using only first party data; an increasingly important proposition with the rise in concerns around online privacy and third party data. As a Senior Data Scientist, you'll be joining a dedicated group of Data Scientists and Engineers at the forefront of exploring exciting ways to activate that data asset. We build powerful models that enable Marketers to make the right decisions and engage their customers with personalized content that is timely, relevant, and valuable.  Our approach to building models is an academic one, starting with a literature search, a baseline, and an iterative process of training and validation to identify the most suitable model that is as simple as possible and as powerful as necessary.  We employ a wide variety of models, such as Bayesian models for predicting customer lifetime value, matrix factorization to identify a customer’s product affinity, and reinforcement learning models to optimize content, timing, and frequency of marketing communications.

Our models operate at scale and crunch through millions of data points to make decisions that have been shown to double revenue and triple reach, and are designed in a flexible manner to generalize across our set of 400+ diverse customers who span industries from apparel to automotive.  To explore, build, deploy, and maintain models we leverage many tools such as BigQuery, Spark, Cloud SQL, Keras, TensorFlow, Airflow, Kubernetes, and Google Compute Engine. Finally, we’re a team that values applied research and constantly exploring the frontier of what’s possible; diving into fields such as topic modeling, restricted Boltzmann machines, recurrent neural networks, convolutional neural networks for image feature extraction, and differential privacy.

Responsibilities

Identifying appropriate models/algorithms to solve product requirements
Meticulous experimentation to evaluate and compare models
Writing internal and external facing documentation describing models and approaches
Deploying models to production and maintaining them
Identify new opportunities to leverage our data asset
Propose and drive technical initiatives
Propose infrastructure to accelerate the pace of model exploration and improve model serving and maintenance

Qualifications

PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering
Relevant coursework and experience in the fields of Machine Learning, Statistics, and Optimization
Deep understanding of Statistical/Probabilistic Analysis and Linear Algebra
3+ years of relevant industry experience, including internships
Ability to write production-ready code
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, Time Series Analysis, and/or Optimization
Experience with ML at scale
Experience with SQL


Staff Data Scientist

We are looking for Principal/Staff Data Scientists with a strong mathematical background to work alongside our Engineering Teams to build the next generation of retail and commerce models that delight and empower marketers.  The ideal candidate is one that has several years of experience researching, building, serving, and maintaining data science models at scale. They are able to work with our Product Team to translate product requirements into the correct objectives, perform literature searches to identify the right approach, design thoughtful experiments, and write production code to serve the model and maintain it.  They have first-hand experience with what works and what doesn’t, and are eager to share this experience with both junior and senior members and guide them through that process.  They are also able to, and excited to, help architect the data science infrastructure needed to accelerate innovation on models and facilitate serving and maintaining them. Finally, they should be curious and eager to identify and explore the myriad of other products that can be built on our unique data asset.  Our culture emphasizes making good tradeoffs, working as a team, and leaving your ego at the door.

Over the past six years Bluecore has shown that Marketing Teams can create meaningful and valuable experiences for their customers using only first party data; an increasingly important proposition with the rise in concerns around online privacy and third party data. As a Staff/Principal Data Scientist, you'll be joining a dedicated group of Data Scientists and Engineers at the forefront of exploring exciting ways to activate that data asset. We build powerful models that enable Marketers to make the right decisions and engage their customers with personalized content that is timely, relevant, and valuable.  Our approach to building models is an academic one, starting with a literature search, a baseline, and an iterative process of training and validation to identify the most suitable model that is as simple as possible and as powerful as necessary.  We employ a wide variety of models, such as Bayesian models for predicting customer lifetime value, matrix factorization to identify a customer’s product affinity, and reinforcement learning models to optimize content, timing, and frequency of marketing communications.

Our models operate at scale and crunch through millions of data points to make decisions that have been shown to double revenue and triple reach, and are designed in a flexible manner to generalize across our set of 400+ diverse customers who span industries from apparel to automotive.  To explore, build, deploy, and maintain models we leverage many tools such as BigQuery, Spark, Cloud SQL, Keras, TensorFlow, Airflow, Kubernetes, and Google Compute Engine. Finally, we’re a team that values applied research and constantly exploring the frontier of what’s possible; diving into fields such as topic modeling, restricted Boltzmann machines, recurrent neural networks, convolutional neural networks for image feature extraction, and differential privacy.

Responsibilities

Identifying appropriate models/algorithms to solve product requirements
Meticulous experimentation to evaluate and compare models
Writing internal and external facing documentation describing models and approaches, such as wiki pages, white papers, blog posts or journal papers.
Deploying models to production and maintaining them
Evangelizing Bluecore Data Science internally and externally
Identifying new opportunities to leverage our data asset
Proposing and drive technical initiatives
Proposing infrastructure to accelerate the pace of model exploration and improve model serving and maintenance
Being a technical mentor for senior and junior team members
Meeting with customers to discuss our machine learning models and roadmap

Qualifications

PhD or MS in a quantitative discipline such as Applied Math, Data Science, Physics, Statistics, or Engineering
Deep understanding of Statistical/Probabilistic Analysis and Linear Algebra
8+ years of relevant industry experience, including internships
Experience building, delivering and maintaining Machine Learning and AI products
Experience setting ML/AI project roadmaps
Strong oral and written presentation skills
Experience in technical mentorship and leadership
Ability to write production-ready code
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, Time Series Analysis, and/or Optimization
Experience with ML at scale
Experience with SQLv


Senior Data Scientist

We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud

Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Senior Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.

Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.

The experience you will bring

6+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus

This is a full-time, salaried position. Immigration sponsorship is available.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.).

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Inclusivity:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.


Data Scientist I

Purpose of Job
We are seeking a talented Data Scientist I to work from a 100% Remote Work Location.
This roles 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
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.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.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a 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:
Strong Python, SQL skills.Relevant banking domain knowledge particularly in areas such as AML, Fraud, Consumer Disputes, or Central Operations.Project experience with Graph Databases such as Neo4j, AWS Neptune or similar.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision,Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
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*.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Data Scientist Senior Natural Language Processing

Purpose of Job
Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions.  Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds 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
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; 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.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
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.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience 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.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.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use.PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc).Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning 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: $106,800 - $192,300* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is available for this position.


Data Scientist Senior Marketing Analytics

Purpose of Job
Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions.  Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds 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
Uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; 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.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
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.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience 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.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.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
Understanding and experience with marketing mix modeling and optimization, marketing multitouch attribution, pricing elasticity, and competitive intelligence.Understanding, both theory and practice, of the modeling techniques listed above as well as machine learning and artificial intelligence modeling techniques, and optimization/mathematical programming.Familiarity with Federal Reserve Supervisory and Regulatory Letter SR 11-7 (Supervisory Guidance on Model Risk Management).Experience with model governance, including model deficiency identification and remediation, independent testing, ongoing performance monitoring, and compensating controls in all aspects of the model lifecycle.Experience with working and taking vendor models through model validation process.Experience with process risk, control, and improvement.Technical experience in the US Armed Forces, including but not limited to US Army ORSA FA 49 (e.g., PDSI R1J) and US Navy OPNAV N81, is also desirable.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 - $192,300* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.


Data Scientist Senior Omnichannel

Purpose of Job
We are seeking a talented Data Scientist Senior for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus or 100% Remote Work Environment.
This role is designated for a Data Scientist who has proficient knowledge with applying modern advanced analytics methods (predictive modeling, machine learning, and optimization), as well as a solid grasp of the mathematics used for each method and strong Python coding skills to develop numerical models.  The Data Scientist is expected to demonstrate the ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.  The Data Scientist for this role is expected to have experience working with Natural Language Processing.
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
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies and procedures for business activities.Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; 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.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
6 years of related experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience 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.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:
Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Experience in the areas of Natural Language Processing (NLP), deep learning, or computer vision a plus.Proficient knowledge with applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization).Solid grasp of mathematics, with a strong foundation in calculus, linear algebra, probability, and statistics.Strong Python coding skills to develop numerical models.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 - $192,300*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Staff Data Scientist

Something about us...
App Annie is the industry’s most trusted mobile data and analytics platform. Our mission is to help customers create winning mobile experiences and achieve excellence. We created the mobile app data market and are committed to delivering the industry’s most complete mobile performance offering. More than 1,300 enterprise clients and 1 million registered users across the globe and spanning all industries rely on App Annie as the standard to revolutionize their mobile business. We are a global company, headquartered in San Francisco but as a “remote” first company, we care about your results and not your location.
Along with a market defining product, we take great pride in our culture and values and strive to embody them daily! We set a high bar for our success and have made Excellence as our standard, hold each other Accountable, continuously push Innovation and Win with Style.
What you can tell your friends when they ask you what you do
“I work in Data Science organization and am dedicated to initiatives under the Office of the CEO’s team at App Annie Labs. As a Staff Data Scientist, I am tasked to work with the App Annie Labs team to uncover new market opportunities, pilot our new product developments with customers, and ultimately drive the innovation and future growth of the company. I work together with early access customers, product managers, designers, and engineers to create our newest state-of-the-art products.”
You will be responsible for and take pride in….
We are seeking an outstanding data scientist interested in working in the hot space of mobile  and digital analytics to join the rapidly growing Data Science team at App Annie. App Annie is the gold standard for the mobile app market and first party data, leveraging a variety of data sources, machine learning algorithms, artificial intelligence, and data science methodologies to create market estimates and other KPI’s for mobile apps and publishers. We need self-driven and motivated performers to join our stellar team.

Gather requirements from Product Managers, and work with Product Management to refine product concepts and implement the data modeling needed to turn them into reality
Develop the heart of App Annie’s future products and Unified Data A.I. vision
Create and customize models and metrics
Identify relationships within large and seemingly unrelated data
Deliver robust, high-quality data products
Identify performance bottlenecks and provide optimization solutions
Create quality indicators and diagnostics tools

You should recognize yourself in the following...

A passion for everything to do with data and already have top-level experience working in data modeling and quantitative analysis
An ability to work independently to solve challenging problems and provide innovative practical solutions quickly and efficiently
5 years work experience, including at least 2 years performing data modeling and quantitative analysis, preferably for Internet or technology companies. Experience in financial or medical industries can also be helpful
Experience with building machine learning algorithms in the advertising industry is a definite plus
Excellent data science skills, including a working knowledge of several of the following statistics packages and languages: Python including scikit-learn, Zeppelin, SQL and Spark
A proficiency with Linux OS
Experience with data visualization and dashboard tools is a plus, such as Tableau Software.
Strong presentation skills. Comfortable explaining data solutions in a business context to multiple stakeholders, e.g. product managers, senior management, etc.
MS or PhD preferred in Statistics, Applied Mathematics, Computer Science, Econometrics or related field
A passion for digital content and mobile apps is a definite plus
The authorization to work in the U.S.

This is what we have to offer…

We provide a $1,000 (country equivalent) WFH allowance to set you up for remote work success.
Internet allowance for stable internet connection, so your video does not freeze on Zoom.
Flexible working days. We love to meet, but if you need to get your kids behind school-zoom, need to leave early to get to your band repetition or gym classes, do your thing.
Paid leave, so long as you promise to come back!
Health and dental benefits.
An international team of talented and engaged people from different cultural backgrounds and locations.
Wellbeing allowance for any activity that matters to your wellbeing; (online) gym classes, fitness equipment, mindfulness apps or even childcare support!
Unlimited access to online learning platform Udemy to help you develop your skills.
Virtual initiatives and events to keep you connected with your colleagues.
Generous Employee Referral Program. Up to $10,000 for specific roles.

Yes, I want this job!
#LI-JM


Sr Manager Data Science

Something about us...
App Annie is the industry’s most trusted mobile data and analytics platform. Our mission is to help customers create winning mobile experiences and achieve excellence. We created the mobile app data market and are committed to delivering the industry’s most complete mobile performance offering. More than 1,300 enterprise clients and 1 million registered users across the globe and spanning all industries rely on App Annie as the standard to revolutionize their mobile business. We are a global company, headquartered in San Francisco but as a “remote” first company, we care about your results and not your location.
Along with a market defining product, we take great pride in our culture and values and strive to embody them daily! We set a high bar for our success and have made Excellence as our standard, hold each other Accountable, continuously push Innovation and Win with Style.

What can you tell your friends when they ask you what you do?
As a Data Science Manager, I’m leading Data Science key contributions to App Annie’s DaaS and SaaS products. I’m responsible for piloting new product developments, overseeing the expansion and optimization of our ML algorithms and managing a team of Data Scientists to ultimately drive innovation and future growth of the company. I work closely with Product Managers, Data Scientists, Data Analysts and Big Data Engineers to coordinate and monitor execution of tasks while ensuring timely delivery on commitments and reporting to senior management. I am passionate about what I do and excited to do it in the context of an entrepreneurial start-up with a phenomenal team.

You will be responsible for and take pride in….
We are seeking an outstanding Data Science Manager interested in working in the hot space of mobile and digital analytics to join the rapidly growing Data Science team at App Annie, leveraging a variety of data sources, machine learning algorithms, artificial intelligence, and data science methodologies to create market estimates and other KPI’s for mobile apps and publishers. We need self-driven and motivated performers to join our stellar team. Your tasks will include:

Managing Data Scientists and Data Engineers in defining and executing tasks as part of algorithm development for new and existing products
Developing the heart of App Annie’s future products and Unified Data A.I. vision

Coordinating with Product Managers and Engineering leaders to refine product concepts and implement the data modeling needed to turn them into reality

Providing guidance to the team in creating and customizing models and metrics

Working with large, complex data sets that meet function and non-functional business requirements
Designing and optimizing algorithms to accelerate value provided to customers
Communicating well and clearly with teams and team members across multiple time zones and countries.
Leading by example in establishing cross-functional interactions to increase efficiency of successful deliverables

You should recognize yourself in the following...

You should be a strong data science lead with proven experience in machine learning algorithm development

You should have a passion for everything to do with data, with top-level experience working in data modeling and quantitative analysis

MS or PhD preferred in Statistics, Applied Mathematics, Computer Science, Econometrics or related field
At least 10 years work experience in data modeling, machine learning algorithm development, software engineering
An ability to solve challenging problems and provide innovative practical solutions quickly and efficiently
Demonstrated experience managing a team of data scientists to deliver quality large-scale data analysis and data products in an app analytics context
Excellent communications skills, both within data science, and to external stakeholders and management
Excellent data science skills, including a working knowledge of several of the following statistics packages and languages: Python including scikit-learn, Zeppelin, SQL and Spark
Flexible mindset and the ability to prototype and change direction rapidly as research evolves
Strong problem solving, analytical and troubleshooting skills

An excellent communicator with a knack for concisely explaining problems and solutions to multiple stakeholders, e.g. product managers, senior management, etc.

A strong drive to continue learning and developing
Independently making decisions quickly based on your expertise
Demonstrated ability to produce results as part of a highly distributed team that crosses cultural and country boundaries
Energy and creativity are key characteristics that describe you and the projects you are involved in. You make it happen!

This is what we offer...

We provide a $1,000 (Country equivalent) reimbursable WFH allowance to set you up for remote work success.
Internet allowance for stable internet connection, so your video does not freeze on Zoom.
Flexible working days. We love to meet, but if you need to get your kids to school/ zoom or need to leave early to get to your band practice or gym classes, do your thing.
Paid leave, so long as you promise to come back!
Health and dental benefits, mental health concierge and financial planning support
Wellbeing allowance for any activity that matters to your wellbeing; (online) gym classes, fitness equipment, mindfulness apps or even childcare support!
Unlimited access to online learning platform Udemy to help you develop your skills.
An international team of talented and engaged people from different cultural backgrounds and locations.
Ample virtual initiatives and events to keep you connected with your colleagues.

Yes, I want this job!
#LI-JM


Quantitative Social Scientist Senior Data Scientist

Outcome is seeking a Quantitative Social Scientist/Senior Data Scientist to develop and maintain our proprietary ISA underwriting model. This role will be responsible for implementing all computational workflows related to ISA contract design and financial evaluation. As a key member of the underwriting team, this role will be best suited to an analytical thinker with a genuine motivation to support social mobility through affordable higher education access.

About Outcome
Outcome is an innovative fin-tech company built on a novel financing model for higher education that ties repayment directly to student outcomes, improving alignment between students and educators and de-risking the pursuit of higher learning. We underwrite, originate, and fund Income Share Agreements (ISAs), Deferred Tuition Agreements (DTAs), and other forms of outcome-based financing.

In an ISA or DTA, borrowers are required to repay their obligation once they are earning a liveable, minimum income -- and the obligation ends after a fixed period of time regardless of the amount a student has paid back. By making payments a function of post-graduation income, these contracts redistribute the risk of educational investment away from students while linking investors’ returns and schools’ revenue directly to student success.

We use outcome-based financing to scale innovative and responsible models of higher education and support underserved student demographics. We drive capital to higher education partners who are dedicated to building a proven pathway to professional success for their students.

Outcome was incubated by Hangar, a firm that funds and builds technology companies tackling public sector market challenges.

Responsibilities
This role offers an incredible opportunity for impact, building solutions to fundamental problems within the higher education system. As our Quantitative Social Scientist, you will be responsible for the critical analysis of opportunities and outcomes in the higher education landscape.

• Manage Outcome’s proprietary ISA simulation and underwriting model: extend the code base to accommodate novel modeling tasks while maintaining an integrated and replicable central library.
• Assist the investment team with analysis of ISA programs on an ongoing basis. Tasks include estimation of students’ academic and professional outcomes for current and prospective educational partners, financial analysis and projections, and visualization of key features of ISA performance.
• Conduct computational due diligence on prospective educational partners, such as payments, graduation rates, and placement rates.
• Work with the operations team to translate computational modeling into ISA contracts, communicating key contract terms drawn from simulations. This includes calculating APR caps and payment scenarios for contracts.
• Build and maintain a database of student borrowers and ISA payment activity.
• Maintain and innovate a data pipeline of private and public data sources to refine labor force predictions for student borrowers.
• Create computationally-informed thought leadership for Outcome’s blog and external communications.

About you
• Analytical, detail-oriented, organized, and self-motivated, you enjoy building solutions to complex problems and evaluate your own work with a careful and critical eye.
• Intrinsically motivated towards genuine impact. We’re looking for candidates with passion to make the higher education landscape more equitable and efficient and the technical skills to lead our product development.
• Can demonstrate Python proficiency in a range of data analysis, visualization, and statistical modeling capacities. You are proficient in object-oriented programming.
• You are communicative and able to synthesize the most important information for key (non-technical) stakeholders to ensure comprehension, both verbally and through data visualization.
• You hold a minimum of a bachelor's degree in economics, data science, sociology, or finance. A graduate degree in similar fields is a plus.

Additional Skills & Experience
• Proficiency in git/GitHub, SQL, big data tools (such as Apache Spark, AWS).
• Familiarity with Plotly/Dash visualization frameworks or similar tools.
• Experience with dynamic income modeling, survival analysis, scenario analysis, sensitivity analysis, and risk assessment is a plus.
• Experience in financial services, including the development of risk management tools, actuarial models, or other forms of financial modeling is a plus.
• Experience working in a start-up environment, particularly within the education or fintech space is a plus.

Outcome is a distributed and remote-friendly team, with headquarters in New York City. We approach capital creation with novel perspectives, and actively seek experiences and backgrounds that are diverse, nuanced, and varied.

We recognize historical approaches to investing have disproportionately hurt the most marginalized of society – including black and indigenous people of color, the economically disadvantaged, women, and LGBTQ+ individuals. As such, we strongly encourage applications from under-represented candidates in the worlds of finance and technology.

Interested applicants should send a cover letter and resume to ali@outcome.group


Data Scientist

Job Description:Phreesia is looking for an experienced and hands-on Data Scientist to join our growing Data Science Team; someone with extraordinary analytical and technical skills who is familiar with the entire lifecycle of a data science project, from data exploration, modeling and analysis, to model selection, validation, evaluation, and deployment.You will be joining a team of especially smart, humorous, quick-witted, and dedicated coworkers, all passionate about data and improving patient access to healthcare. You will be responsible for building data products for internal consumption, near real-time business intelligence tools, and predictive models. We are looking for someone experienced in partnering with business stakeholders, translating their needs into technical solutions and answers, and then building and delivering those solutions. This role will report directly to the Associate Director of Data Science.What You'll Do
Leverage Phreesia’s massive and ever-growing dataset to build data products that provide actionable business insights
Optimize targeted engagement strategies through modeling, forecasting, and evaluation
Develop methods to efficiently classify and characterize patient populations
Navigate and use diverse machine learning stacks in Python and R
Use NLP techniques to parse, process, and structure textual data
Quickly prototype ideas and solve complex problems by adapting creative approaches
Build customized dashboards for internal and external clients
Take ownership of data products and ensure they are properly tracked throughout their lifecycle
Write clean, well-tested, code that will stand the test of time
Be an expert communicator: you could summarize your daily progress in a tweet
What You'll Bring
2+ years of experience in an operational Data Science role.
Professional command of Data Science and Machine Learning toolsets such as Python (Numpy, Scipy, Pandas, Scikit-learn), R (dplyr, tidyverse, ggplot).
MS/MA in a quantitative field such as data science, computer science, engineering, mathematics, statistics, computational linguistics, physics, or relevant equivalent professional experience
Experience in using statistical principles to inform decision making (experimental design, significance tests, a/b testing)
Excellent interpersonal and communication skills, both written and verbal
Ability to organize, visualize, and present complex data in a way that tells a compelling story and drives decision making
Strong SQL skills
Experience contributing professional-level code using version control
Bonus:
Experience using web frameworks such as Python flask or R shiny
Experience using Docker or other containerization frameworks
Experience in collaborating with Data Scientists and Data Engineers to propose, test, validate, evaluate, and deploy Machine Learning models
Experience using AWS services including S3, EMR, Glue, SageMaker, Redshift, and Athena
Experience using Apache Spark (specifically pyspark)
Experience using Apache Airflow
Experience using Jenkins for CI/CD
Experience using Graph and/or search databases (e.g. neo4j, elasticsearch)
Healthcare experience and a basic understanding of clinical terms
We strive to provide a diverse and inclusive environment and are an equal opportunity employer.Who We Are:At Phreesia, we’re committed to helping healthcare organizations succeed in a fast-changing landscape—and we need smart, passionate people to help us do it. Our innovative SaaS platform offers our clients a suite of applications to manage the intake process, giving them the tools to engage patients, improve efficiency, optimize staffing and enhance clinical care.Basically, what you do here matters, and hard work does not go unnoticed. Not only does Phreesia care about our clients, we also care about our employees. In fact, we’re a five-time winner of Modern Healthcare magazine’s Best Places to Work in Healthcare award. If you’re interested in consistent feedback and recognition, defined career paths, and the opportunity to work with driven and engaged colleagues in a dynamic industry, this may be the right opportunity for you.
Benefits and Perks:

Remote working environment
Variety of health plan options, dental/ vision coverage, and short/long-term and life insurance plans
401(k) savings plan (USA) or RRSP plan (Canada)
Employee Stock Purchase Plan
Unlimited vacation
Home office set-up stipend
Mobile phone stipends and Internet reimbursement
100% paid parental leave to our U.S. employees, as well as a generous parental benefit to our employees in Canada
Tuition and certification reimbursement, as well as other professional development opportunities

Be sure to check out our Instagram and Facebook ! We strive to provide a diverse and inclusive environment and are an equal opportunity employer.


Senior Data Scientist Product Platform

Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.

Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.

We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us!  Read our Culture Manual and learn more about how we work.

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.

About the team

The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by:

Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions

About the roles

We are looking for a Senior Data Scientist who has strong foundations in data modelling, statistics and product analytics to work with the Product Platform team. As Wealthsimple continues to scale, our ability to enable customers to transfer assets seamlessly, understand financial data, and protect against fraud is critical. The platform organization is responsible for building the services that power all of the Wealthsimple products. These core services are shared across the platform with the goal of improving the speed at which we scale and launch new products and continue to improve our current offerings.

As a Senior Data Scientist working with the Product Platform team, some of your projects will include, but not limited to: modelling verification data, drive automation, and incorporate intelligence into existing manual bank and ID verification processes by employing OCR, and optimize the bank verification process by identifying smarter ways of routing bank linking volume between third party data services such as Flinks/Plaid.

In this role, you will have the opportunity to:

Build and maintain new data models that are accurate and reliable
Design, define, and implement metrics and dimensions to enable analysis and predictive modelling
Partner with Product and Engineering teams to solve impactful problems
Think outside the box and design experiments to test hypotheses
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Help build and lead a great data science team to deliver world-class products
Get the best out of the team by leveraging their diverse educational backgrounds
Teach and learn from their teammates. We value making others successful

Skills we are looking for:

Excellent Python & SQL skills.
Strong understanding of statistics: both frequentist and Bayesian approaches
Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
Strong understanding of fundamental machine-learning algorithms: regression and decision trees
First hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
Excellent communicator who is able to present results and analysis to senior leadership
Experience in managing team members in a formal or informal capacity
It’s a bonus if you have hands-on experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau