Staff Data Scientist

Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy.  You will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Staff Data Scientist (full stack) to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning.
What You Will Do:

Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.

What You Will Bring:

Passion for data, technology and people.
PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis.
Expert in Statistical Studies.

Preferred Skills and Experience:

Databrick experience.
Redshift experience.
Experience with monitoring, instrumentation tech, and vendor know-how (Segment, New Relic, Datadog, Pingdom and/or PagerDuty).
Product Analytics experience with Google Analytics and/or Amplitude.

About Shift
We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible.  We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.
We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app.  At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
Shift is an Equal Employment Opportunity Employer
Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.


Senior Data Scientist

Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy.  You will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Sr. Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning.
What You Will Do:

Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.

What You Will Bring:

Passion for data, technology and people.
PhD or Master's Degree in Computer Science, Mathematics, Neuroscience, Computational Biology, or Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis.
Expert in Statistical Studies.

Preferred Skills and Experience:

Databrick experience.
Redshift experience.
Experience with monitoring, instrumentation tech, and vendor know-how (Segment, New Relic, Datadog, Pingdom and/or PagerDuty).
Experience with Product Analytics like Google Analytics and/or Amplitude.

About Shift
We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible.  We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.
We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app.  At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
Shift is an Equal Employment Opportunity Employer
Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.


Director Of Data Science Telematics

The position.
We believe a large part of building an effective insurance company can be solved with a principled quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry.
Root is hiring for a Director of Data Science to lead and develop a team of data scientists and data analysts focused on telematics and customer experience. Leading this team, you will manage research to expand Root’s telematics data and UBI models. Further, you will interface with our pricing and underwriting functions to create more effective integrations. You will opportunistically seek ways to use Root’s prevalent telematics connectivity in service of a satisfying policyholder experience, e.g., expeditious claims handling, test drive UX, etc.
The ideal candidate will have the ability to identify & measure new opportunities through rigorous analysis, build frameworks & processes to ensure high quality & valuable data science work products, work with cross-functional stakeholders to gain alignment & ensure a path to deployment, and support the growth & development of their team. You’ll also be willing to roll up your sleeves and work alongside the team to build and test proposed solutions.
What you’ll achieve.
Lead and develop a team of data scientists
Provide technical and thought leadership related to telematics and UX
Identify and prioritize high-ROI work and ensuring a practical path to deployment
Apply data storytelling, statistical modeling, and machine learning to solve problems in pricing, underwriting, claims, and customer experience
Influence culture and conventions across the data science organization
Work cross-functionally with Data Science, Product, and Business Development to determine long-term, strategic investments needed for future company success
What we’re looking for.
Experience with telematics as an individual contributor and as a team leader
5+ years experience working in data science with demonstrable experience in predictive modeling, exploratory data analysis, probabilistic modeling, and productionizing solutions
2+ years experience managing a multi-contributor team
3+ years experience working in insurance with a keen awareness of insurance fundamentals
Strong communication and relationship building skills
A deep foundational understanding of statistical modeling and machine learning
Strong programming skills with experience using modern packages in Python
Some economics background is strongly preferred


Data Scientist I Pricing R D

The position.We believe a large part of building an effective insurance company can be solved with a systematic, quantitative framework. We are committed to the rigorous development and effective deployment of modern statistical machine learning methods to problems in the insurance industry. We're looking for a Data Scientist to help build and evaluate our pricing models to enhance our risk segmentation. Working alongside a combination of actuaries and data scientists, you'll leverage modern statistical techniques to build on our pricing capabilities and more accurately segment our customers. You'll also establish KPIs to explain model performance, communicating findings and trends to key stakeholders across the business.Root is a “work where it works best” company. Meaning we will support you in working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus and offices in other locations to give more flexibility and more choice about how we live and work.What you'll achieve.
Build and evaluate pricing models and risk segmentation plans
Enhance evaluation pipelines to translate model results into KPIs
Leverage internal and external data sources to engineer novel features to enhance risk segmentation
Build data processing pipelines to quickly iterate on research ideas and put them into production
Take end-to-end ownership of problem domains and continuously improve upon quantitative solutions
What we're looking for.
Advanced degree in a quantitative discipline and/or 3+ years of applying advanced quantitative techniques to problems in industry, actuarial pricing experience preferred
Strong demonstrable knowledge of topics such as inferential statistics, machine learning, and numerical optimization
Exceptional communicator and storyteller
Strong programming skills with experience using modern packages in R and Python
Demonstrated experience building, validating, and applying statistical machine learning methods to real-world problems


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
At Dropbox, we aim to put the customer at the center of everything we do. With over 500 million users, the Customer Experience (CX) team is at the forefront of simplifying how our users and customers interact with Dropbox. We focus on solutions that work for our customers as well as implementing technologies that will simplify our customers’ journey. We bring the customer voice across the organization to ensure Dropbox delivers the best possible customer experience.
Role Description
As a Data Scientist on the Customer Experience (CX) team, you will provide strategic leadership on crafting data-driven solutions that improve the customer experience. You will analyze our vast survey, support ticket, and product usage data sets to identify areas of opportunity and effectively communicate your findings to leadership. You will partner with stakeholders to understand their evolving requirements, collaborate with other analysts and engineers on the team, and craft innovative solutions that are more personalized, more efficient, and more delightful to our customers.
You have a passion for customer advocacy and making a big impact. You have a strong understanding of, and real-world experience in, the fields of statistics and NLP. You're a self-starter with an affinity for problem-solving and deep knowledge of data and advanced statistical tools. You have a curious and analytical mindset and are always eager to learn new things.
Responsibilities
Use machine learning and other advanced statistical methodologies to extract actionable insights from large multi-dimensional customer behavior data sets.Translate complex concepts to a non-technical audience via excellent communication skills, both verbal and written, with the use of compelling data visualizations.Gather and share best practices and insights internally. Promote a data-driven culture at Dropbox.Utilize natural language processing (NLP) tools to identify trends and patterns from unstructured text data.Proactively engage with stakeholders across Customer Experience (CX) to ensure relevant and accurate delivery of business requirements.Leverage your knowledge of statistics and programming to transform the way CX provides support.
Requirements
BS in the field of Statistics, Mathematics, Computer Science, or other technical discipline. Master’s degree a plus.5 years of relevant work experience (e.g., as a data scientist) or equivalentProficiency in querying relational databases. Experience with Hive or Snowflake a plus.Proficient in statistical programming languages (e.g. Python and/or R).Solid hands-on experience working with unstructured text data and many different NLP tools.Practical experience with using and understanding algorithms for classification, regression, dimensionality reduction, and clustering.Highly detailed-oriented and exceptional organizational and follow-through skills a must.Excellent at planning and project management.Ability to quickly prototype ideas and use creative approaches for solving complex problems.Strong desire to take initiative, thrives on change, and is comfortable with ambiguity.Independent learner with a keen interest in continuous learning.
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 Platform Engineering

Applied Data Scientist, Platform Engineering
Remote - North America, South America, Europe
(United States, Canada, Mexico, Chile, Argentina, Brazil, UK, Ireland, Germany, Sweden, Norway, Poland, Spain, Austria, Slovenia, Czech Republic, Portugal, Netherlands, Switzerland)
We are targeting GMT +1 to GMT -8 in the countries identified with core overlapping hours of 10am-1pm Eastern Standard
At Stack Overflow, our mission is to empower the world’s developers. Whether we’re helping developers get answers to their questions or work more efficiently with their team we build products that make millions of developers’ lives better every day. As the world continues to transform with technology as a leading force, we’re driven to make Stack Overflow a place where everyone who codes feels welcome to learn, share their knowledge, and build their careers.
The Data Platform team at Stack Overflow builds and maintains the data processing and analytic pipelines that democratize access to data across our organization. Your cross-functional team will optimize flow and collection of all of our product and business data, enabling data at scale for Stack Overflow.  You’ll ensure that our data delivery architecture is optimized and consistent, enabling software engineers, database architects, data analysts, and data scientists to do their best work.
Applied Data Scientists have several key responsibilities:
Create and maintain optimal data pipeline architecture to extract, transform, and load data from a wide variety of data sources using SQL and Azure “big data” technologies
Assemble large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Keep our data separated and secure across national boundaries through multiple data centers and Azure regions
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Skills and Requirements
5+ years experience building and optimizing Machine Learning Model Pipelines in the Public Cloud
5+ years working with Python and DataBricks
5+ years working with Natural Language Processing, Machine Learning, TensorFlow / Keras / PyTorch
Strong analytic skills related to working with unstructured data sets
5+ years experience building processes supporting data transformation, data structures, metadata, dependencies, and workload management
A track record of leading and mentoring less experienced developers. You are eager to teach others and invested in the growth of your team.
Self-motivating, self-directing, and a great communicator (written and oral). You thrive in an environment that grants you a lot of autonomy to explore creative solutions.
Excellent problem solving skills. You excel at analyzing and solving problems using technology.
Working within GMT-7:00 (US) to GMT+2:00 (Europe) time zones.
We would like to see (but not required):
Experience with Microsoft technologies and Azure cloud services for building and operating data pipelines
Experience working remotely and/or working with teams that are distributed geographically.
An active Stack Overflow profile, open source code, example projects that you're proud of (whether open source or worked on at a previous job), or any other evidence of your passion for building great software.
Knowledge of how Stack Overflow works from our blog, podcasts, and other public artifacts.
Ideas about how to evolve the platform and increase our impact on the developer community are even better.
Experience with leveraging cloud-native technologies and techniques to build product ecosystems
What you’ll get in return:
Competitive Base Salary between $128K and $173K USD
20 days paid vacation
Generous parental leave (16 weeks at 100% pay), family care leave, and paid sick days
Stock options
Completely free health insurance (no copay, no premiums)
401K match
Gym membership reimbursement
Employees will never be poked with a sharp stick
If your role is not located in one of our offices…. We’ll reimburse you up to $2,000 to set up a great home office.
If you want to work in our office… You’ll be in our headquarters in New York City, and enjoy additional benefits like free lunches, transportation reimbursement, and all the espresso you can drink.
Work Environment:
We’re a remote-friendly team. Whether you work remotely or work out of our New York office (re-opening voluntarily Fall 2021), you’ll be part of a remote work culture that emphasizes online communication (Slack, GitHub, Hangouts, Zoom, Stack Overflow for Teams).
Employment is conditioned upon successfully completing a background check and having the appropriate legal right to work.
Diverse teams build better products.
Legally, we need you to know this:
Stack Exchange, Inc. does not discriminate in employment matters on the basis of race, color, religion, gender, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class. We support workplace diversity.
But we want to add this:
We strongly believe that diversity of experience contributes to a broader collective perspective that will consistently lead to a better company and better products. We are working hard to increase the diversity of our team wherever we can and we actively encourage everyone to consider becoming a part of it.


Data Science Intern

Leaf Group is a house of brands, creating and cultivating digital-first companies in growing lifestyle categories: Fitness & Wellness (Well+Good, Livestrong.com); Home & Decor (Hunker, Society6, Deny Designs), and Art & Design (Saatchi Art, The Other Art Fair). Additionally, we have performance focused brands in key categories such as Travel, Pets, and DIY (OnlyInYourState, Cuteness, eHow). Our media and marketplace brands are authentic and authoritative, reaching a large and growing passionate audience.
We work in a fun, collaborative environment that is diverse, adventurous, and open-minded. We look for proactive, accountable people focused on continuous learning and growth to push themselves and our businesses forward. Check us outhere.
Leaf Group is looking for Data Science Intern(s) to help us with Natural Language Programming and Data Analysis. We will provide you pragmatic practice of your programming skills.
Many of our prior interns graduate to full-time positions on our team and our alumni currently work at Netflix, Stripe, Google, and Amazon.  We celebrate their success and we pride ourselves on supporting great careers.
We expect you to have a good understanding of natural language programming (NLP), and we will show you how to apply your skillset at scale -- hint, automation is the key.
Please tell us and show us when you submit your application. Tell us about why you enjoy coding and share a link to your code repository.
Important: Only apply if you are US Based.
You’ll Report To: SVP Engineering, Innovation & Growth
A typical day as a Data Science Intern might include:
Generating 101 inspirational quotes.
Finding the most visited waterfalls in the United States.
Predicting the most visited content in the next Month.
What You Have:
A good Python language understanding.
The ability to work with and query databases.
Excellent verbal and written communication.
Not afraid to wear multiple hats - no job being too small or too large.
We're casual and informal but we work hard and work responsibly. Personal accountability goes a long way. We believe we are the change.
You’ll be successful if you enjoy making creative projects.
About us:
Leaf Group is among the 2022 & 2019 Built In LA Best Places To Work
Among Comparably's 2021 Best Companies for Company Culture, Company Perks & Benefits, Company Compensation, Best CEO for Diversity, and Best CEO for Women
eHow is the 2019 & 2020 People's Choice and official Webby Winner for Social Video/How To-DIY
OnlyInYourState is ranked the #3 Travel and Information Site (ComScore)
Well+Good is the 2019 People's Choice winner of the Webby’s Award for Best Lifestyle Brand
Leaf Group is among TalentDesk’s 2019 Best Companies To Work For
Well+Good is the 2018 winner of Fast Company’s Most Innovative Company AwardMyPlate is the 2018 winner of the Webby Award for Best Design
Winner of the 2017 Best Company for Diversity award Comparably
We are a wholly owned subsidiary of Graham Holdings Company (NYSE: GHC), a storied diversified holding company
For full-time permanent roles:
Competitive compensation and benefits packages (i.e., Medical, Dental, Vision, FSA, 401K)
Gender neutral family leave
Paid-to-play vacation rewards
Discretionary unlimited vacation time
Employee discounts for Saatchi Art, Society6, and Deny Designs
Process:
Step 1: A video/phone call with a member from our Hiring Team. In this call, we will cover the basics of the role and our company, and discuss a high level overview of your past experiences, goals, and interest in this role.
Step 2: A call with your potential manager or someone from the hiring team to dive deeper into your experiences and goals.
Step 3: If applicable, short assessment to help us see your skill sets as they relate to the role we have. We will review this in Step 1.
Step 4: Depending on the role, interviews with key stakeholders from the role (could be 1 or up to 3) who will dive further into the role with you and answer any questions you may have.
Leaf Group is a diverse, equitable, and inclusive workplace that reflects our customers and the world we live in. We encourage people from all backgrounds, ages, abilities, and experiences to apply for our roles. Leaf Group is an equal opportunity employer. We do not discriminate based on race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.
Agency Disclosure: If the Leaf Group Talent Acquisition department, or any current company employee, receives an unsolicited resume from a third party recruiting agency and Leaf Group does not have a signed Agency Agreement active, Leaf Group will not be deemed liable to pay a placement fee. The unsolicited resume will be considered a gift and can be considered for our recruitment efforts.


Director Loan Credit Risk Pricing Optimization

Who We Are
Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.

Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates.  Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.

We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.

Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.

To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.

Climb’s Values
- Drive access and inclusivity
- Build a better system
- Own the solution
- Iterate and experiment
- Succeed together

Overview of Role
We are looking for a strong consumer credit leader who is excited to join the Credit team at a fast-growing startup. The candidate will help lead the growth and expansion of our student loan offerings. The ideal candidate will have experience in all aspects of  consumer credit: default risk, pricing, feature optimization and working with marketing, revenue and product/tech teams on taking it to the market.

Responsibilities

Own the creation of loan features and pricing based on credit risk and market inputs  - working with the revenue team to identify products & features needed in each school vertical, and working to deliver those products in collaboration with others in credit, and finance, product/tech teams.
Develop loan features, pricing, and school incentives to manage loan product profitability.
Continuously evaluate portfolio level performance, and build roadmaps for development.
Mentor junior team members.

Your Background and Skills

5-7 Experience working on consumer loan products: BNPL/In-direct Auto/Student Loans including in pricing, loan features, profitability determination.
5-7 years in consumer credit data, regulations, competitive landscape
5-7 years as a data scientist /managing credit risk analysts/data scientists.
Experience using data analytics tools and techniques (like Python/R, Develop statistical models)
3+ years experience with SQL and data visualization tools.
3+ years of experience with data manipulation and analysis with large data sets.
Willingness to take initiative and solve problems with limited direction.
Ability to think critically and challenge assumptions.
Excited to learn and understand business objectives, and help ensure that our products deliver value to students and schools
Ability to work in a very fast-paced and fluid small-team environment at a growing company
Strong oral and written communication skills
Professional, detail-oriented, and energetic personality
Ability to succeed in an entrepreneurial culture
Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive

Nice to Have

Consumer credit and pricing strategy experience in student loans.
Bachelor’s Degree or a Master’s Degree in a quantitative field, such as mathematics, financial engineering, data science, econometrics, etc.
Capable of rapid expansion into larger responsibilities as the company grows.
Strong belief in continuous self-improvement.

Perks & Benefits

Competitive salary and annual bonus
Company equity
Annual education stipend
Work from Home stipend
Health benefits (coverage for medical, dental, and vision costs, life insurance, and more)
Unlimited PTO
Remote work
"Light Meeting Fridays" year-round
"Summer Friday" afternoons off
Paid parental leave
In-person and virtual team events
DoorDash Wednesdays
401k with company match

Climb earned a spot on Inc Magazine’s 5000 fastest growing companies in 2020!

We’ve raised hundreds of millions of dollars of lending capital from financiers such as The Blackstone Group and Goldman Sachs. We are currently 40 passionate technologists and business people excited to be changing the face of modern education.

Read about us in the news, check out our company values, and find us on Comparably.

Climb Credit is proud to be an equal opportunity employer, and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.


Applied Data Scientist Credit

Who We Are
Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.

Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates.  Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.

We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.

Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.

To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.

Climb’s Values
- Drive access and inclusivity
- Build a better system
- Own the solution
- Iterate and experiment
- Succeed together

Overview of Role
We are looking for a promising credit data scientist who is excited to join the Credit team at a fast-growing startup. The ideal candidate will have a strong data and analytics background, experience with analytical tools & technology, and a track record of producing insights and providing clear and actionable analysis for various stakeholders.

Responsibilities
As part of the Credit team, you will:
Build, refine, and increase automation of monitoring and reporting via data warehouse, reporting tools for estimating the loan performance and establishing trends
Create forecasting, stress and scenario analysis tests.
Streamline systems to improve data collection, accuracy and analysis.
Work with stakeholders on reporting and data requests.
Support the development of loan underwriting models that drive loan originations while minimizing credit losses.
Collaborate intimately with internal teams on product development as well as cross-functionally to support company goals.

Your Background and Skills
1-2 years data scientist role with knowledge of statistical and machine learning techniques.
2+ years experience using Python, running statistical analysis.
2+ years experience with SQL and data visualization tools.
1+ years of experience with data manipulation and analysis with large data sets on top of large databases and visualization tools.
Willingness to take initiative and solve problems with limited direction.
Ability to think critically and challenge assumptions.
Excited to learn and understand business objectives, and help ensure that our products deliver value to students and schools
Ability to work in a very fast-paced and fluid small-team environment at a growing company
Strong oral and written communication skills
Professional, detail-oriented, and energetic personality
Ability to succeed in an entrepreneurial culture
Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive

Nice to Have:
Consumer credit knowledge, particularly in student loans.
Bachelor’s Degree or a Master’s Degree in a quantitative field, such as mathematics, financial engineering, data science, econometrics, etc.
Demonstrate passion for Climb’s mission to expand access to quality education
Capable of rapid expansion into larger responsibilities as the company grows.
Strong belief in continuous self-improvement.

Perks & Benefits

Competitive salary and annual bonus
Company equity
Annual education stipend
Work from Home stipend
Health benefits (coverage for medical, dental, and vision costs, life insurance, and more)
Unlimited PTO
Remote work
"Light Meeting Fridays" year-round
"Summer Friday" afternoons off
Paid parental leave
In-person and virtual team events
DoorDash Wednesdays
401k with company match

Climb earned a spot on Inc Magazine’s 5000 fastest growing companies in 2020!

We’ve raised hundreds of millions of dollars of lending capital from financiers such as The Blackstone Group and Goldman Sachs. We are currently 40 passionate technologists and business people excited to be changing the face of modern education.

Read about us in the news, check out our company values, and find us on Comparably.

Climb Credit is proud to be an equal opportunity employer, and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.


Senior Data Science Analyst

Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.
Zoom is an award-winning workplace. We have been recognized by Comparably as #1 CEO, Company Happiness, Benefits, Compensation, Diversity, and more! Not to mention we’ve been awarded by Glassdoor as the 2nd Best US workplace & Best Large Company US CEO in 2018, Wealthfront, and Business Insider. Our culture focuses on delivering happiness, our commitment to transparency, and the tangible benefits we provide our employees and our customers.
The ideal candidate will have experience and qualifications for Senior Data Science Analyst:
What you'll do:
Analyze data, build models, and apply advanced statistical techniques to provide a deeper understanding of our product, users, and communities
Apply your rich array of data science skills to support company initiatives from end-to-end machine learning, forecast, anomaly detection, causal inference, and experimentation • Ideate and partner directly with product, engineering, and business teams to improve decision-making and drive impact
Responsible for dashboards that allow internal consumers to gain insight into the performance of their functional areas
Develop data visualizations that illustrate complex platform phenomena using Tableau, Looker etc.
Partner with leadership, engineers, product managers and data engineers to understand business needs and how these can be addressed through analytics
Working with partners to identify the key metrics their product should track and developing and sharing analysis, guidance, reports, and dashboards to successfully track and move these metrics
Constructing reusable data pipelines for company-wide use
experience in the design and analysis of A/B tests in a fast-paced environment at scale
Deep technical expertise in machine learning fundamentals, applied machine learning, and statistical modeling
Communicate analyses and recommendations to cross functional stakeholders for decision making
What You'll have:
Degree in a quantitative field like analytics, statistics, economics, computer science, or applied math
5+ years of industry experience autonomously translating ambiguous business problems into data-driven solutions
 Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
Advanced in SQL and proficient with Python or R
Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
At Zoom, we care about our employees, their families, and their well-being. As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. To view our benefits, click here.
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Manager Data Science Research Support

Job Description
The Manager of Data Science Research and Solution Support will provide advanced technical thought leadership, and research long-tail solutions that require advanced technical skill sets. In this capacity the professional will be pulling from the latest in modeling techniques, statistics, and have a strong ability in NLP, Deep Learning Techniques and Python based programming. Using these skill sets the professional will perform exploratory research, continue to research and enhance existing solutions, transfer their knowledge and expertise to fellow professional team members by educating them on the latest techniques and through collaborative projects. The thought leader will lead next-gen research for scalable state of art models that drive industry transformation through the engagement and position NielsenIQ as the forefront of technical data science.
Responsibilities:
Thought lead on innovative approaches to unique business challenges that require long-tail solutions.Perform Exploratory Research on potential solution deliveries that could have significant impact to clients macro and micro strategic initiatives.Educate and expand the teams knowledge in latest techniques in market for data science – share that knowledge through collaboration and active seminars w/team.Utilize highly advanced technical skill sets in NLP, Deep Learning Techniques and Python Based Programming to enhance existing solutions that were identified as, “Opportunities” for next-gen improvements.Offer support to peer team members as subject matter expert in data science to provide thought guidance on potential challenges peer leaders may encounter on projects w/solutions they are delivering.Drive milestone solutions that are proactive in nature on long-tail that can impact client strategies and bottom-line towards 5-10 year market macro, and micro.Research and Evaluate current solutions, and potential future solutions based on clients current market impacts from competitors, economy, consumers, etc.Be of growth and challenge mindset – challenge status quo w/better approaches, and be in continuous growth of learning newest techniques to apply.
Qualifications
Qualifications:
Effective people management experience including developing team and individual growth plans, coaching/mentoring, and aligning business goals to team objectivesProven servant leadership style, and diplomatic communicatorMaster’s degree or greater in Statistics, Operations Research, Mathematics, Economics, Econometrics, Industrial Engineering, Computer ScienceMinimum of 5 years of directly related work experience in marketing analytics, and at least 3 years proven leading a team of data science or analytic professionalsProficiency in working with statistical and econometric models in marketing to support clients in B2B, Retail and CPG areas.Coding experience in SQL, Python, R PreferredStrong Business Acumen & Experience Synthesizing complex analytic work to a business solution resultCompensation: $90 - 105K base + bonus based on years of experience
Additional Information
All your information will be kept confidential according to EEO guidelines.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.


Data Scientist

Company Description
REF16408C
NielsenIQ BASES is a forward-thinking, rapidly growing, market research division of the NielsenIQ Company. That means we maintain an unbeatable client list, create best-in-class solutions and have access to incredible resources—without sacrificing the benefits of a smaller, leaner, close-knit company. We celebrate curiosity and creativity and encourage openness and collaboration.
We’re highly driven, team-oriented and psyched to use cutting-edge technologies to change how the world’s leading consumer companies innovate.
Through a blend of innovative market research technologies (such as evolutionary optimization, specialized choice modeling, neuroscience) and client consulting, we help major consumer products companies dramatically identify breakthrough product ideas, messaging that inspires action, fresh package designs and optimal launch strategies.
Job Description
As a senior statistician, you’ll work in a cross-functional, global team, to solve complex marketing research challenges for clients. You’ll work on a diverse range of challenging projects that are highly visible to senior management. The ideal candidate strives for rigor, following best practices, continuously learning and developing their skills, and has a data centric approach to solving challenges combined with a business-driven development mindset.
What you will do:
·         Design and execute high impact research studies by applying state-of-the-art proprietary technology and cutting-edge statistical models
·         Consult with internal clients on analytics and methodology
·         Help qualify the business and product initiatives by identifying the needs of the clients and matching them to the appropriate methodology
·         Challenge the status quo for existing methods and design new models and tools
.         Validate and calibrate current learning algorithms to estimate the success likelihood and volume potential of future products
·         Keep abreast of most recent statistical and market research innovations and trends
·         Effectively communicate across functions
Qualifications
We are looking for people with
·         MS or PhD in statistics, econometrics, Marketing Science or other related quantitative fields, with a high level of academic achievement
·         Experience in high volume statistical consulting environment with diverse statistical projects
·         Strong foundation in statistical inference and probability; ability to clearly write, interpret, and communicate complex statistical models to a variety of audiences
·         Multivariate modeling experience such as linear and nonlinear regression models, limited dependent variable models, cluster analysis, etc.
·         Solid theoretical knowledge of statistical segmentation/classification methods, mixed-effects models, hierarchical Bayesian models and MCMC simulation methods
·         Knowledge of latent class models, linear discriminant analysis, conjoint and discrete choice models in market research
·         3+ years of experience with scripting languages, in particular Python and R
·         Experience with Relational Databases and SQL programming
·         Excellent communication skills, written, oral and graphical, and the ability to present complex ideas in a clear and concise manner to a variety of audiences
Additional Information
NielsenIQ is a global measurement and data analytics company providing the most complete and trusted view of consumers and markets in 90 countries covering 90% of the world’s population. Focusing on consumer packaged goods manufacturers and FMCG and retailers, we enable customers to defy what’s possible. How? We combine unparalleled datasets, pioneering technology and the industry’s top talent to create insights that unlock innovation. Join us and change the landscape.
All your information will be kept confidential according to EEO guidelines.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.


Manager Of Data Science

About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven, data science culture where members have autonomy to deliver impact through end-to-end, full-stack product development and ownership. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a $2B+ company we are looking for data scientists and leaders to join us in the revolutionization of retail.
About the Role
As a senior-level manager, you will lead a team of experienced data scientists for either Core Representation Learning or Search team.  In partnership with other data science and business leaders, you will identify opportunities and frame algorithmic problems to drive impact of both existing and new product capabilities. You will be your own product and project manager, creating a vision of what should be built and empowering your team to actualize that vision.
As an experienced people manager, you will be responsible for developing bright individuals and building an amazing team. You should be excited to identify people’s strengths and development opportunities, fostering individual growth through frequent and kind feedback. As the company scales and the team continues to grow, you should understand the importance of being on the constant lookout to recruit top talent for the future.
You're excited about this opportunity because you will…

Build relationships and establish trust with data scientists across multiple teams
Build an operating theory of the business and be able to guide teammates to build new capabilities that will advance the enterprise.
Hire, teach, amplify, grow and develop the individuals on your team

We’re excited about you because…

You have 2+ years of prior people management experience
You have experience at companies with large search or recommendation systems problems.
You have led people, with ideally both research and engineering expertise.
You have expertise in Pytorch or deep learning framework
You have production machine learning experience and are proficient in deploying apps in Python
You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners
You are innovative and inspired to take on new challenges and you do not shy away from potential failure
You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field

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

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

ABOUT STITCH FIX
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:
https://www.stitchfix.com/privacy/usrecruitingprivacy
#LI-CH1


Data Scientist Marketing Analytics

Data Scientist - Marketing Analytics
About Stitch Fix
Stitch Fix is the world’s leading online personal styling service, combining data science and human judgment to deliver apparel, shoes, and accessories personalized to its clients’ unique tastes, lifestyles, and budgets. We delight customers with a personalized experience that helps them build a wardrobe that fits their style so they look and feel their best. Over the last 10 years, Stitch Fix has delighted customers with convenient styling services by integrating the power of data science together with human stylists. The company recently  expanded its experience beyond the personal styling experience delivered via fixes by adding new offerings including a direct shopping experience in a personalized feed. This new shopping feed represents the beginning of a new chapter for the company,  and delivers a superior shopping experience by presenting shoppers with items that fit them and their style. We envision a future in which we continue to disrupt traditional models by leveraging our stylists and our data science capabilities to delight customers in new ways with enhancements .
About the role
Data Scientist - Marketing Analytics  is an integral part of the future success of our business. Our clients want clothes that will help them look and feel their best -- without the burden of sifting through thousands of items that don’t. As an experienced Marketing Data Scientist, you will help to provide the data and insights that will inform our marketing leadership team. You will proactively uncover insights that influence the marketing strategy and decisions.  You will define and monitor the metrics that best measure the customer experience and are most impactful to the business. The role reports to the Senior Director of Enterprise Data Science and Analytics.
Minimum qualifications

4+ years in a marketing data science role
Exceptional coding skill in SQL and in Python
Experience with data mining, transforming and analyzing data across databases
Experience in working autonomously and taking ownership of projects.
Exceptional skill in structuring analyses, dashboard design and data visualizations to communicate meaningful metrics within the business.
Exceptional communication skills that allow you to effectively distill highly complex data analyses to non-technical business partners.
Ability to  prioritize and focus on the questions that matter most to the business
Knowledge of statistics (experimental design, statistical analysis, hypothesis testing)
Experience partnering with marketing executives and algorithmic data scientists to answer tough business problems
2+ years of experience with data visualization tools

Preferred qualifications

Masters degree in a quantitative field (e.g., statistics, computer science)
2+ years of experience in working with event/log data
Experience working with marketing,  product and engineering teams and technologies on platforms with existing, significant user adoption.

Responsibilities

The Data Scientist will work directly with stakeholders across Stitch Fix’s key Marketing teams to help shape measurement deliverables and roadmaps, while analyzing marketing efforts using analytics and data science
Partner with marketing, product, UIUX and algo to identify effective marketing investments to accelerate users Growth and Retention
Support budget planning and spend strategy with senior marketing stakeholders
Measure, report and present on growth and retention performance marketing results to senior management. Deliver hypotheses and insights beyond the numbers to guide business strategy.
Drives performance metrics alignment with cross functional stakeholders in product, finance and operations.
Hands on end-to-end quantitative analysis, modeling and leverage statistical techniques to understand user lifecycle, channel attribution and segmentations.
Partnering with the Data Engineering team to test, create and potentially maintain key datasets and pipelines for reporting and tracking.
Provide expertise in tracking and logging performance marketing data streamlines across various platforms, channels and devices.
Own and develop KPIs, audit metrics and build curated dashboards and provide scalable solutions to track and measure multiple marketing program’s work streams.
Work closely within Enterprise Analytics to centralize and consolidate key metrics across multiple business units within Stitch Fix, to provide clarity on metric relationships and lineage.

Partner with Product Data Scientist to support ad-hoc business insights.

Why you’ll love working at Stitch Fix:

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


Data Scientist

ABOUT THE TEAM
At Stitch Fix, our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems. As a $2B+ company, our growing business is looking for data scientists to join us in the revolutionization of retail.
ABOUT THE ROLE
This is a full-stack data scientist role where you will get to work closely with stakeholders to identify impactful problems and build algorithmic solutions. Cross-functional collaboration is deeply meaningful to us and is how we’ve built up immense trust with our partners in Strategy, Product, Merchandising, Styling, Marketing, Engineering, Finance and Operations. You'll have the opportunity to bring your ideas to life by building on a foundation of strong business support, clear vision, engaged internal users, and bright, kind teammates.
YOU’RE EXCITED ABOUT THIS OPPORTUNITY BECAUSE YOU WILL…

Have access to a wealth of unique data and best-in-class algorithms, providing a solid foundation to build on
Own full life-cycle model creation and deployment
Be a data steward, ensuring that our raw inputs, intermediate results, and finished data products are accessible and useful in perpetuity
Holistically understand ambiguous business problems and frame appropriate work streams
Act as a thought leader for the team – identify, research, advise, and implement approaches to new and old problems
Be empowered to take initiative and follow your innate curiosity

WE’RE EXCITED ABOUT YOU BECAUSE YOU…

Have strong cross-functional communication skills that will simplify and move forward complex problems.
Have applied data science experience, e.g. not just fitting a model but being held accountable for creating business value
Have an expertise in Math, Operations Research, Physics, Statistics, Biostatistics, Economics, Finance, Computer Science, or other quantitative field
Have strong software engineering and design skills and can work within a shared code base
Have experience applying data analysis, machine learning, or statistical modeling to real world applications
Like a good challenge and are driven to make a tangible business impact

WHY YOU'LL LOVE WORKING AT STITCH FIX...

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

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


Principal Data Scientist

We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Principal Data Scientist will hold an advanced quantitative degree with experience building recommender systems, matching, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:
M.S. or Ph.D. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).7+ years of professional data science experienceApplied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.Previous experience with production models, i.e. post-deployment responsibilityRelentlessly curious and strong bias for action.Great communication skillsAbility to develop ML or statistical analyses software in R or Python
Responsibilities:
Develop algorithmic systems to enable personalization for our learners and instructors.Partner with product, marketing, operations, and engineering to identify impactful problems, and turn business goals into objective functions.Design experiments to rapidly establish causal relationships.Drive initiatives from conception to production with measurable impact to the business.Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the companyHealthcare Plans (Medical, Dental, Vision, Life)401k Company PlanRemote Position, fully work from home (or wherever you like!)Flexible PTO plus a floating holidayPaid VTO ("volunteer time off" to do community service/charity work)52 hours of Free Learning Sessions per year for you or immediate families members and free access to our Virtual School Day classes and School@Home programOnce in a lifetime opportunity to help revolutionize how the world learns!Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Scientist

We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Qualifications:
M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).3+ years of professional data science experienceApplied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).Previous experience with production models, i.e. post-deployment responsibilityAbility to develop ML or statistical analyses software in R or PythonExperience with building recommender systems and implementation with a breadth of matching algorithms is a plus.Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.Relentlessly curious and strong bias for action.Great communication skills
Responsibilities:
Develop algorithmic systems to enable personalization for our consultative sales organization.Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.Design experiments to rapidly establish causal relationships.Drive initiatives from conception to production with measurable impact to the business.Define creative services to thorny problems using mathematical algorithms
Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:
Competitive Salary plus Equity in the companyHealthcare Plans (Medical, Dental, Vision, Life)401k Company PlanRemote Position, fully work from home (or wherever you like!)Flexible PTO plus a floating holidayPaid VTO ("volunteer time off" to do community service/charity work)52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classesOnce in a lifetime opportunity to help revolutionize how the world learns!Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture
Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Scientist Senior Life Company

Purpose of Job
About USAAUSAA 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.
We are currently seeking a dedicated Data Scientist Senior for Life Company. This position will develop artificial intelligence / machine learning models and work with IT in cloud migration effort. This position is open to the San Antonio or Phoenix Campuses working a Hybrid schedule or working fully Remote.
This role 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
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, standards, 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:
Minimum Education:
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 (total of 12 years) may be substituted in lieu of a degree.
Minimum Experience:
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.
Preferred Experience:
4 or more years of experience with Natural Language Processing and Deep Learning or other Machine Learning methods4 or more years of experience with Data Wrangling processes4 or more years of experience accessing data in Hadoop framework4 or more years of experience with Domino Platform4 or more years of experience coding in SAS and/or SQL.Master’s Degree in Computer Science or Data Science
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.
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is NOTavailable for this position.


Marketing Data Scientist Mid Level

Purpose of Job
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions.  Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage.  Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
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 Skills:
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: $88,000 – 158,900* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*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 Midlevel

Purpose of Job
We are seeking a talented Data Scientist-Midlevel to work in a remote work environment.
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.
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


Principal Data Scientist

Description
Description:
The Principal Data Scientist will be responsible for developing a wide range of analytical functions, potentially including but not limited to: data intelligence, analytical insights, machine learning, customer analytics, process improvement, data infrastructure development, and the development of statistical models, with the intent to optimize business spend & function, identify new opportunities, enhance the customer experience, and provide strategic direction to stakeholders.
This role will serve as the Advanced Analytics / Data Science support for an Agile team within the Home Equity and Lending area of the bank. This Principal Data Scientist will report within an Advanced Analytics team to enable collaboration, the sharing of analytical ideas, and the alignment of best practices.
Primary responsibilities include:
Engage with Marketing, Operations, Business Leaders and External Partners to drive industry leading innovations in the HELOC spaceStreamline business processes and programs and develop models/strategies/insights that can lead to a more optimal performance and budgetary spendResearch growing market trends and mine data to develop new insights that can guide the strategic direction of the Citizens Bank lines of businessDocument and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
Our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters, however we are open to remote employment within the United States for the ideal candidate.
Qualifications
Required Skills/Experience:
5-10 years of experience in Analytics/Database Marketing/Quantitative Modeling, with experience in Financial Services preferred5-10 years of experience in SAS and/or related programming languagesStrong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partnersAbility to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology Ability to operate independently, requiring little manager oversightStrong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)Experience supporting home lending preferred but not required
Education, Certifications and/or Other Professional Credentials:
Bachelor's Degree in Statistics/Mathematics/Physics/Computer Science required, graduate degree preferred


Sr Data Scientist

Description
The quantitative analyst will lead the design, testing, approval and implementation of the model monitoring for all credit risk models.  The analytics work will provide credible management direction to support business decisions and assist their understanding of the model risk, while ensuring full compliance with regulatory and internal policy requirements.  Consult with business line and other model stakeholders to understand their analytics needs; consult with IT and data teams to determine data source, and work with colleagues to ensure consistency of our approach with established standards.
Lead efforts of model monitoring process through various approval committees (business approval committee, model risk committee, capital planning committee).  Drive agreement on model validation and monitoring approach and communicate quantitative methods and results to various stakeholders (model development, business units, model governance and approving committees, regulators). Lead best practice modeling techniques, ensure comprehensive documentation, and maintain best of class model monitoring and outcome analysis. Coordinate the development, maintenance and enhancement of econometric expertise, stress testing for CCAR and CECL.  Identify and assess the differing risk factors/credit attributes in support of the business and model users. Provide timely remediation of data issues through effective root cause analysis.
Qualifications
 5+ years of relevant experience from a Information Management, statistical, mathematical, scientific or financial background 3+ years relevant experienceAdvanced knowledge of SAS programming or other mainstream languages (i.e. SQL/ R/ Python), SAS certification a plusAbility to navigate multiple data warehouse platforms and different data environments Understanding of Credit Risk Parameter Models PD/EAD/LGD and concepts of regulatory requirements for stress testing and allowance. Statistical model development and/or validation experience preferredStrong analytical and program solving skills are required to interpret data and draw conclusionsExcellent written and verbal communications skills
Education:
Undergraduate and 5+ years of relevant experience from a Information Management, statistical, mathematical, scientific or financial backgroundGraduate Degree and 3+ years relevant experience
Hours and Work Schedule - 3 days in the office, 2 remote
Hours per Week: 40Work Schedule: Monday-Friday
#LI-Remote