Decision Science Analyst Senior Pricing Modeling

Purpose of Job
USAA is looking for an experienced Decision Science Analyst Senior to help drive the future of Personal Lines Pricing Development. In this role, you will support the build, implementation and integration of impactful and scalable solutions to solve a variety of product and pricing problems across our P&C Personal Lines organization. You'll work alongside our Actuarial Modeling, Research, and Data Science teams from ideation to deployment, rapidly researching and testing new, innovative approaches to loss cost modeling, member segmentation and other big data problems. The ideal candidate will be highly technical (experienced with predictive modeling, machine learning, fluent in Python, etc.), an excellent problem solver and able to jump in and work with the teams to drive value in the personal auto and property domains.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred Experience:
Highly skilled in Python with experience in object-oriented design and development.Solid experience with SQL and big data environments.Experience with data curation and/or model development in Cloud-based technology.Experience with 3rd party data solutions and providers.Highly skilled in application of predictive models and/or advanced analytics in insurance.
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: $97,200 – 175,000* (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.


Decision Science Analyst I Adobe Analytics Remote Work Available

Purpose of Job
We are seeking a talented Decision Science Analyst I for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or 100% Remote Work Environment.
We are seeking a talented candidate with digital measurement and analytics experience in the Banking industry who can drive improvements in digital measurability, analyze data for actionable insights, and promote findings across multiple business areas. The analyst selected for this position will get to work with a dynamic team of analysts, digital product managers, and developers. They will design measurement strategies and provide analytical decision support to solve business opportunities.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating, and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
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.Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to colleagues for peer review and mid to upper-level management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences mid to upper-level management, garners support for recommendations, drives business decisions, and influences business strategy.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Experience with Adobe Analytics and/or Glassbox.Strong expertise with digital / click-stream data and tagging.Strong understanding of Bank Digital Experience tag management and tag design for measurability.
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: $72,900 - $131,400 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.


Data Scientist Senior Omnichannel

Purpose of Job
We are seeking a talented Data Scientist Senior for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus or 100% Remote Work Environment.
This role is designated for a Data Scientist who has proficient knowledge with applying modern advanced analytics methods (predictive modeling, machine learning, and optimization), as well as a solid grasp of the mathematics used for each method and strong Python coding skills to develop numerical models.  The Data Scientist is expected to demonstrate the ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.  The Data Scientist for this role is expected to have experience working with Natural Language Processing.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
6 years of related experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Experience in the areas of Natural Language Processing (NLP), deep learning, or computer vision a plus.Proficient knowledge with applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization).Solid grasp of mathematics, with a strong foundation in calculus, linear algebra, probability, and statistics.Strong Python coding skills to develop numerical models.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 - $192,300*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Senior Data Scientist

Who We Are
Ellevest is a fast-growing, venture-backed financial services start-up built by women, for women. Our mission is to get more money in the hands of women, no matter where they’re starting or how far they’ve come. We started by building the only gender-aware online investing platform that takes totally un-ignorable realities (like pay gaps, different salary curves, and women’s longer lifespans) into account. Then we added banking, learning, and money and career coaching services for Ellevest members, plus a full-service private wealth management service that helps high net worth people, families, and institutions align their financial power with their values.
Ellevest was co-founded by Wall Street veteran Sallie Krawcheck after she realized that the financial services industry was built by men, for men, systemically leaving women behind. During her Wall Street days, she served as CEO of Smith Barney, CEO of Merrill Lynch Wealth Management, and CFO of Citi. Ellevest has raised over $90MM from investors including Rethink Impact, Pivotal Ventures, Valerie Jarrett, Salesforce Ventures, PayPal Ventures, MasterCard, Khosla Ventures, Morningstar, and Venus Williams.
Diversity, Equity & Inclusion
Ellevest is an equal opportunity employer and we value diversity at our company. Data shows that diverse teams are more innovative, make better decisions, and lead to greater employee engagement. When hiring, we look for culture add, not culture fit. That means hiring people who bring new perspectives and different experiences to our team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About This Position
We’re on a mission to get more money in the hands of more women+. We’re looking for a dedicated Senior Data Science and Analytics professional to join our team. You will work to provide the analysis and insights that can drive our decision making and strategic planning processes.
In this role, you will be responsible for collaborating with stakeholders to develop meaningful analytical solutions that help us make decisions and tell a great story. You will also have the opportunity to build and produce scalable models to acquire members, recommend products and next steps, identify customer segments, and boost membership, user engagement, and revenue.We’re growing quickly, and we’re looking for a passionate, experienced, and outcome-driven leader to develop and grow a team dedicated to enabling our organization with analytics and insights.
Day-to-day you will:

Develop the Data & Analytics strategy, capabilities and agenda with key stakeholders; establish a long-term roadmap for providing deep business intelligence.
Drive data-driven decisions and advance our data-focused culture. Proactively identify business opportunities and risks within the model to help the organization reach its goals.
Collaborate with cross-functional leaders to define the metrics & KPIs that drive results, enable our teams to leverage data to improve performance, and design experiments that provide insights
Work with stakeholders across the business to develop requirements and data models that support business initiatives.
Build data-based tools and models for continuous product performance monitoring and optimization
Build and develop machine learning models to make the product more dynamic
Research & implement new statistical or other mathematical methodologies as needed for specific models or analysis
Maintain high quality reporting /dashboards that present insights derived from data across the organization.

We’re looking for:

At least 6+ years of professional data analysis/business intelligence experience
Creative thinker on both a strategic and tactical level, with a strong bias to action.
Self-directed, ambitious, team player, and a strong communicator
Extensive background in data mining and statistical analysis; excellent pattern recognition and predictive modeling skills
Significant experience in manipulating data including use of SQL queries, API calls and ETL methods
A degree or professional experience in applied mathematics, statistics or computer science
Experience working with data visualization or business intelligence tools (Tableau, Chart.io, Metabase etc.)
Passion for our women-oriented mission

Working at Ellevest
Ellevest was founded in New York City, but today, our fully remote team is spread across the whole United States. As a member of the team, you can expect to do work that directly impacts our mission and the lives of real women every day.
We’re also dedicated to building a work environment where everyone on our team can grow and thrive, with flexible working hours and time off; remote work policies designed for transparency and effective cross-team collaboration; ongoing team building and professional development; and more.
Do you think you could thrive in this role?
Please send us your application — even if you don’t check every single box. No two people’s career paths look exactly alike, and skill sets come in many different forms. We can’t wait to hear about yours.
Note: Instead of a cover letter, we ask you to answer the questions at the bottom of this application.


Senior Data Scientist Modeler Cyber Risk Analytics Can Remote Option

Ready for a new challenge? Join Guidewire as a Senior Data Modeler!
Guidewire’s Cyence Risk Analytics products help the property & casualty (P&C) industry to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Cyence Risk Analytics provides insights that help P&C customers face new risks, take advantage of new opportunities, and develop new products.

Who We Are, What We Believe, & What We Build
Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our mission critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance. There is a lot to be done.

Who You Are: Your responsibilities as a modeler will include:

Developing and implementing methodologies to quantify the impact of cyber security risk, as well as other emerging risks affecting the P&C industry
Exploring different data sources to come up with features and assumptions to enhance our set of risk models
Calibrating, testing and validating different types of models in the insurance space
Integrating modeling processes in our production pipeline to feed our platform
Communicating technical details related to the models and their outputs to individuals from various backgrounds
Working together with cyber analysts, data engineers, modelers, and product managers

What we are looking for:

Master’s or PhD degree in a quantitative field (e.g. CS, Statistics, Sciences, Engineering, Economics)
6+ years of solid statistics and predictive modeling foundations
Experience in data analysis, feature engineering, data visualization and hypotheses testing
Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
Experience in implementing parametric and non-parametric models in a production-level environment
High level proficiency in Python or R, and SQL
Good written and verbal communication skills
Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
A positive attitude, and a growth mindset

Bonus:

Insurance, actuarial modeling or financial modeling experience
General understanding of computer network and cybersecurity
Experience with Cloud infrastructure (e.g. AWS), and open source data processing frameworks (e.g. Hadoop, Spark, Mongo and Cassandra)

#LI-Remote
#datascientist #python @artificialintelligence #model #statistics #quantativeanalysis #mathematics #predictiveanalytics #modeling #actuarial #financial #supplychain

About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.

Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in  the world, run on Guidewire.

As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.

Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Data Scientist Applied Research Content Modeling

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.

We’re defining the workforce of the future with Scribd Flex, a program that embraces multiple perspectives while leaning into our belief that no matter where each team member is, we trust them to accomplish our shared business goals. This program lets employees, in partnership with their manager, choose where they work while creating intentional in-person meetings with co-workers that build culture and connect us personally.

Remote employees must have their primary residence in: Arizona, California, Colorado, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), and British Columbia (Canada).
*This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.

Applied Research: Content Modeling is a team of data scientists who extract quantitative understanding from the complex unstructured data in our growing corpus of varied multi-modal content. We are a world class AI/ML organization whose mission is to break new ground in how our customers discover content.

We are skilled in employing a diversity of methods from metadata extraction, natural language processing, computer vision, and classification. We build the rich semantic connections between our content and our users. We strive to know our users better than they know themselves, enabling us to transform personalized discovery experiences.

We are a full-stack data science team that runs exploratory analyses, sizes business impact, develops models, creates data pipelines, taking projects from research prototype to production system serving product surfaces. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, slides and podcasts.

You will:

• Use SQL to query tables and build training datasets
• Build machine learning models in Python (with some work in Spark)
• Leverage state-of-the-art models using deep learning frameworks such as PyTorch and Tensorflow
• Work with Senior Data Scientists to operationalize data science projects
• Educate stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project write ups
• Investigate innovative methods of solving our most challenging problems at Scribd.

You Have:

• 1-2 years of experience deploying machine learning models (natural language processing experience preferred) Beginner level or greater experience with SQL and possibly Spark
• Intermediate to advanced knowledge with Python
• Intermediate level in at least one of these fields: natural language processing, deep learning, computer vision, and bayesian or frequentist statistics
• A keen interest in learning what’s necessary to solve a business problem and make a positive business impact.
• Bachelors or Masters in relevant quantitative discipline (e.g. Computer Science, Software Engineering, Data Science, Machine
Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics)

Benefits, Perks, and Wellbeing at Scribd

• Healthcare Insurance Coverage: Scribd pays for employee’s Medical, Vision, and Dental premiums and a portion of dependent premiums
• 401k/RSP plans provided, plus company matching with no vesting period
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Quarterly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Free subscription to Scribd + gift memberships for friends & family
• Leaves: 12 weeks paid parental leave, company paid short-term/long-term disability plans and milestone Sabbaticals
• Generous Paid Time Off: Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.

 #LI-Remote


Senior Data Scientist Product Analytics

Hi, we're Oscar. We’re hiring a Senior Data Scientist, Product Analytics to join our Data team in our New York office.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!
In this role, you’ll provide key data science and analytical partnership to product leadership.
You will report into the Associate Director, Data Science. This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
Build models that mine patterns from our product usage logs
Quantify the complex relationships between our product engagement and interaction with the broader healthcare system
Develop data driven recommendations to inform our product roadmap
Design source of truth datasets for analytics and business use cases throughout the company
Define, implement, and monitor key performance metrics for product teams
Requirements:
You have 6+ years of relevant work experience or a Master’s degree in a quantitative field with 4+ years of experience
You use data science tools like SQL and Python
You’re excited about being a decision-maker and a leader
You are able to navigate between high level strategic thinking and granular methods of problem solving
You know when to look outside the data to solve problems
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
COVID-19 vaccine requirements for in-person work:
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at accommodations@hioscar.com to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.


Data Scientist

Hi, we're Oscar. We’re hiring Data Scientists to join our Data team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!
We are looking for several new Data team members to join us in a few of our workstreams. By applying to this posting, you will be considered for a top-priority open position within the Data team; a specific role and manager will be determined during the hiring process based on the highest priority need.
You will report into a data science leader (Senior Data Scientist or above). This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
As a Data Scientist at Oscar you will:
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics and machine learning to explain and predict key aspects of our business
Your specific responsibilities will be determined by the particular role.
Requirements:
You have 2+ years of relevant work experience or a Master’s degree in a quantitative field; we encourage you to apply if you have more experience as well as we are hiring for multiple levels of Data Scientists within the team
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus points:
Knowledge of or previous work experience in health care, health economics, or health insurance
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
COVID-19 vaccine requirements for in-person work:
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at accommodations@hioscar.com to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.


Data Scientist Credit

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

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

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

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

About the team:
The Credit Models & Data team is new at Wealthsimple and we want to build a team of exceptional data professionals with diverse educational backgrounds. The team is responsible for delivering predictive analytics to support data-driven management of credit risk. These products will help support a new suite of retail lending products at Wealthsimple. The team is staffed with seasoned lending experts and supported by product managers, MLOps engineers, credit strategy experts, and data engineers. This team is a great place to learn about credit risk machine learning and a great place to see your models deliver a big impact to the business.

About the role:
As a Data Scientist on the Credit Models & Data team, you will play a pivotal role in quantifying risk and credit worthiness of clients. You should have strong programming skills in Python and SQL, extensive experience in machine learning and product data science, confidence articulating your results, and preferably domain knowledge in retail lending. You will work closely with the Product, Operations, and Finance teams, as a member of this highly cross-functional team consisting of full stack developers, product managers, and analysts to find new opportunities to manage and control risk. Your work will be foundational in Wealthsimple’s goal to be the primary financial service provider to millions of Canadians.

Some projects include:
- Building and deploying real-time machine learning models for credit risk prediction across products
- Developing frameworks to optimize various credit offerings
- Understanding product financials and resilience to economic factors
- Defining processes to rapidly update models with new innovative data sources
- Experimental design for product optimization and data collection

In this role, you will have the opportunity to:
- Use data to make better decision, take ownership and ship it
- Release incrementally and iteratively
- Get the best out of the team by leveraging their diverse educational backgrounds
- Teach and learn from their teammates. We value making others successful

Skills we are looking for:
- Strong programming skills:
	Python and SQL
- Data manipulation, feature engineering, model tuning and validation, familiarity with consumer financial data
- Strong understanding of statistics: distributions, experimental design, information, metrics, etc.
- Strong understanding of common machine-learning algorithms: boosting, regression, decision trees, clustering, and neural networks
- First hand experience working with popular ML libraries for 5+ years
- The curiosity to explore data and the tenacity to get it right
- Excellent communicator who is able to tailor a narrative to their audience

Nice to have:
- MLOps experience in AWS, experience in credit risk (adjudication, AIRB) or market risk (VaR, ES), experience in graph data science (e.g. graph databases / GNNs), Transfer Learning, Reinforcement Learning, Apache Airflow, Kafka, Spark, Flink


Senior Data Scientist

About us
We help people find, enroll in, and use ACA (a.k.a. Obamacare) health coverage. We've helped over 9 million people enroll, saving over $30 billion through government subsidies in the process. We've doubled enrollments and revenue each year for the past 3 years, and we are now the largest ACA enrollment platform afterHealthCare.gov. We're profitable and on track to make mid-eight figure revenue for 2021.
We're a mission-driven team that advocates for and cares about the people we serve. We are a double bottom-line company - revenues and enrollments in ACA coverage. The ACA brings high-quality, comprehensive, and affordable health coverage within reach for low-income Americans. And we exist to make that promise a reality. Your contribution will positively affect millions of people, helping them to navigate the complex and confusing health insurance industry and to access health care when they need it.
We are committed to building a team balanced in representation to best serve the people who use our products. We believe in creating inclusive and equitable spaces, which build trust and respect and foster a sense of belonging. These values are at the core of our culture, and we genuinely believe they will continue to lead our organization to successful outcomes.
About the role
We are looking for a Data Scientist to join our team to use our unique data set to improve the product, increase revenue, and set strategy. You will have substantial autonomy in determining how you achieve these goals, and you will also set our data science roadmap. You will report directly to the CTO and your work will contribute directly to increasing the number of people that can access healthcare affordably.
You Will:
Analyze data to identify product improvements and revenue opportunitiesEstablish product and business health metricsDesign, deploy and analyze experimentsBuild machine learning models for multiple applicationsWork with engineers to improve data infrastructure
You Have:
Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering, or relevant work experience5 or more years of industry experience in a data science or analytics roleProficiency in SQLProficiency in Python, R or another data science and visualization environment
What we offer
Great compensation package that includes meaningful equity in a high growth, profitable companyHealth, vision and dental coverage for you, your spouse and dependents401K after grace periodEmployee assistance programParental leavePaid Vacation and holidaysMonthly grocery stipendHome office budget for remote team membersOffices in San Francisco and Sacramento with catered lunch for working on-siteCommuter benefit
We're building a diverse and inclusive work environment where we learn from each other. We welcome and encourage people of diverse backgrounds, experiences, identities, abilities and perspectives to apply. We are an equal opportunity employer and a fun place to work. Come join the team at HealthSherpa.


Sr Manager Data Science Analytics

About Quizlet:

Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.

Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.

Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.

To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.

With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.

About the Team:

The Data Science & Analytics team at Quizlet is at the forefront of product and marketing research. We leverage our rich data set of hundreds of millions of daily study interactions to represent the voice of our students and teachers at scale. Our team outcomes focus on delivering insights that drive product and marketing strategy. We serve in a pivotal strategic role, identifying as well as driving inquiry using experimentation, causal inference, product analytics, and statistical modeling. The team is supported by Machine Learning and Data Engineering teams that partner with us to make sure we are building a data-informed decision making culture.

About the Role:

As a data science and analytics leader, you will own all of the Growth, Product, Marketing, and International analytics teams. You will partner closely with senior leaders and executives to drive alignment, strategy, and prioritization of data research, insights, and tests that uplevel our understanding of our users and product engagement.

In this role, you will:

Lead a large scope of the analytics space and drive high performance of a growing team of analysts and data scientists across multiple functions, locations, and seniority levels
Mentor and grow junior managers
Set strategy and roadmap for your teams in strong partnership with Product, Marketing, and International team leaders, which include VP and C-level executives
Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation
Develop a deep understanding of our users and our product across dozens of countries to influence data-informed decision making culture
Build scalable processes and foster communication and collaboration within the teams and with other teams
Drive maturity and excellence in the way we measure the success of our business and foster an innovative culture

What you bring to the table:

8+ years of experience in data science and/or analytics
4+ years direct manager experience
Proficient in SQL
Practical knowledge of running A/B tests for growth and marketing teams
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others
Experience with ETL processes and best practices

Compensation, Benefits & Perks:

Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps.  Total compensation for this role is market competitive, including a starting base salary of $171,000 - $236,000, depending on location and experience, as well as company stock options
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!); 10 paid holidays plus additional days off in 2022 due to Covid
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Professional Development stipend (teach yourself something new)
Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice
Employees are eligible to participate in the Quizlet stock option program

We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting, that gives  a comprehensive view of who we are!

In Closing:

We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.

We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.

Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.


Data Scientist Field Ops Customer Health

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Role:

The mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data analyst to make an immediate and meaningful impact within a hyper growth start-up.

We are now looking for a talented and driven individual to accelerate data and analytics efforts and boost our Field Operations trajectory - Sales, Customer Success, Business Development. This person will work closely with our C-suite executives and operation teams to develop and deliver high quality reporting, insights, and recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.

What You Will Do:

Partner with Customer Solution Group Leadership, Strategy & Ops business partners to drive the long-term roadmap of customer health initiatives
Transform the business problems with proper context into mathematical problems
Develop and deploy customer health model to surface what drives customer health and provide recommendation in driving expansion
Help drive the transformation to consumption model by enabling the field teams with consumption metrics, actionable alerts,etc.
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

What You Will Bring:

Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
1+ years of experience in data science and analytics. Excellent data manipulation skills, proficiency in SQL.
Proficiency in statistical/machine learning model development with Python or R
Experience visualizing data and building dashboards. (eg. Tableau, Looker, etc.)
Strong problem solving skills and ability to translate business requirements into analytical questions
Effectively communicate model methodology, insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Gives You An Edge:

3+ years of experience in data science and analytics
Experience and/or knowledge in driving consumption based business model in a B2B environment
Experience and/or knowledge in forecasting, customer churn model, anomaly detection, etc.
Experience working in GTM function at a SaaS company, e.g. key go to market funnel optimization, customer insights & retention, etc.

#LI-CM2

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.

Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

#LI-Remote


Senior Data Scientist

🚀 Whatnot
Whatnot (YC W20) is a livestream shopping platform and marketplace backed by Andreessen Horowitz and Y Combinator. We’re one of YC’s top companies and one of the fastest growing marketplaces ever. We’re laser focused on creating an exceptional software company, team, and place to work. You can read our principles [here].
Our mission: enable anyone to turn their passion into a business and bring people together through commerce. We’re building the future of ecommerce; an interactive community where creators can make a living off their passion.
Did we mention we’re high growth? We’ve 10x’d the company in 6 months! In January, Whatnot was 10 people. Today, our team is approaching 100 and will exceed 120 by year end. We’re hiring forward thinking problem solvers across all functional areas. We recruit thoughtfully, can move fast, and are scaling fully remotely.
Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here.
📈 Opportunity Size
The ecommerce experience has been static for 20+ years and is perhaps the largest opportunity in the startup space today. Livestream shopping is a $170B GMV market in China and has grown 100% YoY. Retail is a $5T market opportunity!
👋 About You
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from data engineering and product analytics to machine learning and service deployments.
In addition to 4+ years of experience in the Data Analytics field, you should have:

Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational databases such as PostgreSQL, DynamoDB
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
Expert in using SQL for data analysis, reporting, and dashboarding
Experience with a scripting language such as Python or R is a plus
Aptitude and experience in applied statistics and machine learning techniques
Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks

💻 Role

Partner closely across the business to find improvements and influence decisions using data science methodologies and tools
Build actionable KPIs, create production-quality dashboards and notebooks to convey insights
Define and advance best practices within an experiment driven culture
Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends

🎁 Benefits

Competitive base salary and stock options
Unlimited Vacation Policy and No Meeting Holidays
Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability

Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
Dental and Vision sponsored 100% by Whatnot for employees and dependents

Work From Home Support

Laptop provided by Whatnot and home office setup allowance
$450 work-from-anywhere quarterly allowance for cell phone, internet, or co-working space

Up to $500 monthly to spend within Whatnot App
Care benefits

$1,350 quarterly allowance on food
$1,500 quarterly allowance for wellness
Paid Parental Leave
$20,000 for family planning, such as adoption or fertility expenses
During the COVID-19 Pandemic, Whatnot provides a $20,000 annual allowance towards Nannies, Daycare, and Caregiving support


Data Science Manager

The Data Science Manager, reporting to the Senior Director Client-Facing Applications and Data Insights, is responsible for enabling the strategic vision of data services for Social Current and managing the day-to-day operations of the Data Insights team. The ideal candidate is data-driven, analytical, a problem solver, and has a keen desire to leverage performance measurement to improve business operations.
The Data Science Manager leads the design, development, and implementation of critical data-driven service and product initiatives, champions the employment of data across the organization, and contributes data insights to aid in strategic decision-making. They provide leadership in the design of data warehousing, analytics, and reporting, as well as user-centered design and user experience. The role calls for an innovative individual with strong data management aptitude, ability to communicate and work effectively in a cross-functional environment, and desire to continuously learn and improve methodology and design.
Essential Duties and Responsibilities

Champion the exploration and application of data in support of Social Current’s culture, mission, and values.
Lead the work and strategy of the Data Insights team to support the full spectrum of reporting and analytics requirements in keeping with Social Current’s growth.
Direct the efforts of the Research Specialist, establish performance goals, and monitor the timely delivery of project commitments.
Deliver on institutional priorities – including data benchmarking, quality assurance, performance measurement, and analytics initiatives.
Investigate and interpret enterprise information needs, anticipate opportunities, and provide expertise and tailored actionable insights to answer critical business questions based on a strong understanding of business processes, drivers, and priorities.
Collaborate closely with stakeholders throughout the organization to cultivate alignment on strategy, goals, and objectives, and help teams to make data-driven decisions.
Lead the benchmarking initiative, including design, implementation, technical design, user experience, customer support, evaluation, and presentation.
Conduct research and analysis projects and prepare reports, white papers, and other materials.
Generate and present absorbing information visuals, presentations, and documents for consumption by non-technical audiences; speaks succinctly about interpretation and recommendations.
Recommend improvements to data structure and data quality, develop Social Current’s Data Governance Policies, implement professional guidelines and procedures, and share best practices across Social Current.
Monitor uniform data collection compliance and quality across the organization.
Design and deliver data self-service capabilities for internal and external stakeholders.
Serve as primary point of contact for data and research requests.

Education and Experience

Master’s degree required; concentrations in behavioral or social sciences preferred.
5+ years overall experience in data reporting and analytics, required; 1-2 years field specific knowledge, preferred.
3+ years of demonstrated experience in relational database systems and other technologies required; experience with Salesforce CRM administration preferred.

Skills, Knowledge, and Abilities

Knowledge of and experience with the social service field.
Ability to translate complex data into clear, data-driven stories, and actionable insights.
Excellent written and verbal business communication and presentation skills.
Strong analytical background with a proven track record demonstrating an aptitude to compile data in comprehensive. reports, analyze trends and make fact-based recommendations.
Excellent project management, analytical, and problem-solving skills.
Ability to work autonomously, multitask multiple projects with competing deadlines, prioritize effectively and meet target deadlines.
High standards for quality of all work products. High attention to detail and integrity for data quality.
Commitment to lead initiatives across a diverse, geographically dispersed, multicultural environment.
Exceptional command of Microsoft Excel required (Pivot Tables, charts, and advanced formulas like index/match and array formulas); high level of proficiency in all Microsoft Office applications preferred.
Experience with Business Intelligence (BI) tools (i.e., Power BI, Tableau, etc.).
Knowledge of up-to-date data visualization best practices and tools.
Knowledge of statistical reporting tools (e.g., SPSS, R), preferred.

Travel Expectations
Travel is not expected.
Salary and Benefits
This position will offer an annual salary based on standard work hours of 35 hours per week. The salary range for this position is $90,000 to $100,000. Social Current offers a generous paid time off plan (PTO); medical, dental, vision, and life insurance benefits; and a 401(k) retirement plan.
How to Apply for this Position
Send a resume and cover letter to Social Current via email, and note the title of the position in the email subject line. No phone calls please.
Social Current is an equal opportunity employer. All applicants for employment to this position represented by this job posting will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.


Data Scientist

Blue Rose Research is a project with OpenLabs to develop a wide range of cutting-edge products used by the most important progressive organizations in the country. Our research undergirds short-term and long-term strategy for advancing progressive causes and has a trusted track record among key decision makers.
The R&D team within Blue Rose Research has a storied history, and has worked with central players to develop strategy and direct hundreds of millions of dollars of resources. The work produced by the team is widely regarded as among the most technically sophisticated in the space. If you join us, you’ll be plugging into a diverse team of decorated engineers, PhD data scientists and political insiders who are closely connected to some of the most important decision makers in the progressive ecosystem.
We are looking for a data scientist to help develop applied statistical models and own end-to-end pipelines that will enable us to deliver daily insights and guidance to key clients this election cycle. This role requires full-stack data science skills, and will closely collaborate with our interdisciplinary team to scope technical needs, contribute new functionality to our machine learning framework, wrangle messy data and write ETL, train and iterate on models, and own modeling output that will be delivered to client-facing stakeholders.
We’re a fast and dynamic team, and you’ll be contributing to innovative work that evolves week by week. We’re looking for you to bring your passion for data science, a strong attention to detail, and a desire to make a big impact — sometimes under tight timelines.
We offer a competitive salary, medical, dental, and health benefits, and a work environment that will support your differences. While the work is remote most of the team is NYC based, and as COVID wanes that will likely be a center of gravity for our team.
You will:

Help build out a suite of end-to-end modeling pipelines to produce high-quality estimates of public opinion and voter behavior at a rapid cadence. Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs.
Conduct modeling experiments, do feature engineering, and contribute new ideas to improve our core data science approach. Our problems are not well suited to plug and play machine learning solutions and we often have to think creatively about the right ways to evaluate model performance.
Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output.
Build subject matter context and think critically about what the data is saying to understand what’s a real trend versus what’s a potential bug.

Our ideal candidate likely:

Has 2+ years of professional data science and/or machine learning experience
Has significant experience with applied statistics and predictive modeling. Has developed strong instincts about how to select the right modeling approach for a problem, tune models, evaluate model performance, and diagnose and debug modeling issues. Hands-on experience with Bayesian methods is a plus but not required.
Has experience with SQL and relational databases. Can quickly orient themselves to a new dataset, perform exploratory analysis, spot data quality issues, and justify decisions about how to handle imperfect data. Experience working with political data specifically is helpful, but not required.
Has experience building and owning production-level modeling pipelines using real-world data.
Is a strong Python programmer, or has significant experience in R and a willingness to learn Python. Experience with Tensorflow or similar tools like PyTorch (or a desire to learn) is a plus but not required.
Can pull out insights from data and build a story around them, and create effective visualizations to communicate those findings (in matplotlib, ggplot, or similar).
Thrives in multi-disciplinary teams working with engineers, statisticians and political experts. Is excited about working with less technical stakeholders and seeing how their work impacts real-world decision making.
Willingness to engage with the wider progressive political ecosystem and develop domain knowledge in addition to technical insight.
Has strong oral and written communication skills, especially in a remote environment
Is a kind person and a team player who contributes to a warm working environment

We don’t expect every applicant to have expertise in every area listed above. We encourage you to apply if you don’t feel your experience and background sound like a perfect fit. Many of our team members have taken an unusual path to get to where they are today, and our unique and diverse perspectives make us more effective. We also believe strongly in our team’s ability to learn and excel at new skills and challenges. Join us!
The salary range for this position is $130,000 - $170,000 annually, commensurate with experience.
Candidates must be authorized to work lawfully in the United States.


Senior Data Scientist

Hi, we're Brigit! A holistic financial health company helping every American build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. We're backed by leading VC's including Lightspeed Venture Partners and DCM, a number of the world's most influential social impact investors like Flourish and Sound, and several mission driven celebrity investors like Kevin Durant and Will Smith! If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!

As a Data Scientist at Brigit, you’ll be given ownership of building and improving the most important models which focus on:

• Assessing the credit risk of our customers so that we can increase our approval rates and provide access to more customers
• Helping us predict LTV of customers, so we can tune our marketing efforts and increase our acquisition
• Classifying customers who are likely to churn so that we can offer them better services and focus our efforts on them

We’ve got extremely rich data that we're able to use to build complex customer models based on their behavior and millions of customers to work with giving us the ability to quickly test and learn.
You’ll also work closely with our Product and Engineering teams and other business teams to support other analytics use cases as we build out and grow our team.
What You Have
A Bachelor's degree or above, preferably in a STEM field, but others will be considered with relevant experience5+ years of demonstrated ability of data science (modeling & analysis) in a startup environmentProficient in python, using industry standard modeling toolkits like sklearn, statsmodels, and a fluid understanding of SQL Experience leading teams or mentoring junior data scientists is preferredA wide understanding of consumer businesses and their profitability driversYou have built classification and prediction models, tested, and has iterated to improve them
What You'll Be Doing
Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risksYou’ll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decisioning process, getting to realize every bit of impact along the wayBuild, test and roll out other customer related models (such as Churn propensity and LTV prediction) models which help us analyze and optimize our marketing and retention effortsAnalyze how our customer base is shifting as we grow and pinpoint areas we can improveHelp our existing engineering and business teams track their goals, supporting the BI function from time to time with ad-hoc data analytics
Our Benefits & Team
-Help hard working Americans build a brighter financial future
-High-growth company at an early stage
-Equity participation
-A dynamic, flexible and collaborative start-up work environment with a highly talented team
-Minimum 3 weeks PTO
-401k Plan
-Paid Parental Leave
-Monthly reimbursements to use against wifi and cell phone bills

At Brigit, we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.


Data Scientist

We're looking for an inquisitive and analytical Data Scientist to join our highly skilled team. You will have the opportunity to advance our most important initiatives because of your detailed diligence in writing and managing models, designing new models, and proactively collaborating with the Product team.
You will report to our Director of Data Science. Antenna is remote-empathetic and welcomes applicants from anywhere in the United States.
What You’ll Do

Make our data the most accurate in the business – assess the viability of new data sources, experiment with different approaches, and combine methods to ensure this happens.
Develop and maintain custom data models and algorithms to apply to data sets, including predictive modeling and demographic projections.
Build out our coverage universe so that we can provide accurate information on every subscription business within our purview.
Support research and development in large scale data mining and information retrieval in online media consumption behavior.

Who You Are

You love data – and enjoy pushing the boundaries and having a keen eye for what insights can be gleaned from it
You have 3-5 years of work experience in validating, processing, and analyzing data
You have hands-on experience with exploratory data analysis, statistical data analysis such as linear models, multivariate analysis, time series analysis, as well as machine learning techniques
You have a proven track record of turning state-of-art research into production-ready products
Proficient coding skills (SQL/Python/R) and database knowledge
Experience working with a cloud based platform to ingest, transform, schedule and deploy data models
You can explain how models and systems work to both non-technical and technical stakeholders
Demonstrated ability to work independently with partners in other parts of the company
Passionate about process improvement and diligent when creating measurement solutions
Bonus: Have an understanding of applied statistics and market research (qualitative, quantitative, behavioral, experimental) research methodologies
Bonus: Can flourish in dynamic and often-changing environments; results-driven with an ability to effectively multi-task


Senior Acquisition Data Scientist

Who we are

Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do.  Who we are is a different story.

We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly.  We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act.  Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.

We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.

Do you see yourself here?  Read on.

Who you are

You have a second nature level of comfort with SQL, Python, Git, and local / cloud based development environments (e.g. JupyterLabs, Databricks or equivalent). You have comprehensive experience in developing and implementing machine learning models in production systems. You have utilized time-boxed experimentation to optimize data science products to improve business value.

You are driven towards DS innovation, have an affinity to be forward-thinking, and have crafted DS products not only for the immediate needs but aligned to where Acquisition Marketing is heading in the near future and tied to company goals. You approach problems without pretense, and when presented with a challenge, pick the right tool for the job; introducing new methods when vital but also recognizing when a classical or off-the-shelf solution will suffice.

You have an unwavering aim to learn the intricacies of the Acquisition Marketing teams mission, data exhaust, strategy, and company OKRs. You are flexible in execution; agile value generation comes through multiple iterations of a core DS product. You have worked with the teams to align each DS product opportunity with organizational OKRs, and build consensus with how value crafted from DS will be tracked and jointly communicated to the broader organization.

What the role is

This role is open because we have substantial goals for how Drizly engages with its customer base going forward, the average Drizly customer is more valuable than ever, and the value of a 1% improvement to existing processes is larger than it’s ever been. The Acquisition Marketing roadmap requires additional data science resources, as well as DS specific asks.

The role will be responsible for developing, prioritizing, and executing on the top opportunities identified in the Acquisition Marketing DS roadmap and collaborating with our broader Marketing, Analytics, and DS organizations. Data science opportunities that are implemented by this person will touch all aspects of the Drizly New Customer Acquisition Flywheel; from becoming more than just an ecommerce/delivery platform for our customers - to driving technology innovation for Acquisition Marketing, to partnering with our engineering and data science partners, to craft predictive models to facilitate budgetary, attribution, and optimization decisions. We need to invest in the analytic firepower and bandwidth to support these teams, and more generally, the Drizly customer.

In this role you will:

Develop data science products roadmap across the Acquisition Marketing Team
Refine, prioritize, and execute DS opportunities in a collaborative manner
Iterate and ship DS product versions in an experimental
Aim to rapidly adapt and improve the products
Collaboratively coordinate and report value creation from DS products with the Acquisition Marketing Team

The Other Stuff:

Competitive Salary
One-on-one professional coaching with an external expert
Health, Dental and Vision Insurance
Flexible vacation policy
401(K) Plan with Employer Match
Added perks

You do you.

Drizly is 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

For Colorado-based roles: The salary/hourly rate range for this role is $123,000 per year - $146,000 per year. You will be eligible to participate in Drizly's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://drizly.com/careers.

BEFORE YOU APPLY...

We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Additionally, you must reside in the United States to be considered for this position.

Identifying information includes your name, photos, LinkedIn URL, email address and more.


Data Science Manager Marketing Analytics

Who we are

Drizly is the world’s largest alcohol marketplace and the best way to shop beer, wine and spirits. Our customers trust us to be part of their lives – their celebrations, parties, dinners and quiet nights at home. We are there when it matters - committed to life’s moments and the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. That is what we do.  Who we are is a different story.

We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly.  We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide and then act.  Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days and incredible challenges.

We are blazing a trail in an industry that hasn’t changed in nearly a century, and that doesn’t scare us (well, not all the time) -and even when it does, it doesn’t stop us, it energizes us.

Do you see yourself here?  Read on.

Who you are

You have led teams previously that have supported multiple groups across an organization. You are comfortable working and directing multiple stakeholders and a diverse set of business processes. You are an experienced player-coach and have developed talent through pair programming and mentorship in the past. You have worked through ambiguity and defined future state processes with data science functionally integrated into business units and marketing decision making.

You have a second nature level of comfort with SQL, Python, Git, and local / cloud based development environments (e.g. JupyterLabs, Databricks or equivalent). You have comprehensive experience in developing and implementing machine learning models in production systems. You have utilized time-boxed experimentation to optimize data science products to improve business value. You are driven towards DS innovation, have an affinity to be forward-thinking, and have crafted DS products not only for the immediate needs but aligned to where your business is heading in the near future, tied to company goals. You approach problems without pretense, and when presented with a challenge, pick the right tool for the job; introducing new methods when vital but also recognizing when a classical or off-the-shelf solution will suffice.

What the role is

This role is open because we have substantial goals for how Drizly engages with its customer base going forward, the average Drizly customer is more valuable than ever, and the value of a 1% improvement to existing processes is larger than it’s ever been - Data Science Products are instrumental to our Marketing and Strategic Partnerships roadmaps. We need to invest in the analytic firepower and bandwidth to support Marketers at Drizly, and more generally, the Drizly customer. The role will be responsible for leading our Marketing and Strategic Partnerships Data Science team, prioritizing, and executing on the top opportunities identified in the Marketing and SP DS roadmap and collaborating with our broader Marketing, Analytics, and DS organizations. Data science opportunities and frameworks that are implemented by this team will touch all aspects of the Drizly New Customer Acquisition Flywheel; from becoming more than just a ecommerce/delivery platform to for our customers - to driving technology innovation for Marketing and Strategic Partnerships, to partnering with our engineering and data science partners, increasing our usage of recommendation and classification systems, crafting predictive models to facilitate budgetary, attribution, and optimization decisions.

In this role you will:

Building and executing  a data science product portfolio that supports our Marketing and Strategic Partnerships teams
 Supporting and enabling team members to execute on prioritized opportunities
 Being a thought leader and technical expert on time series and optimization modeling techniques
 Being a change agent within the Marketing and Strategic Partnerships  teams for best-in-class business processes functionally integrated with analytics!
Experience owning and managing forecasting, optimization problems built using machine learning and linear / mix-integer programming
Experience with statistical methods such as Synthetic Control Method or Design of Experiments
Experience using MMM, MTA, Regression and Timeseries Forecasting to determine the value driven by different marketing efforts

The Other Stuff:

Competitive Salary
One-on-one professional coaching with an external expert
Health, Dental and Vision Insurance
Flexible vacation policy
401(K) Plan with Employer Match
Added perks

You do you.

Drizly is 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

For Colorado-based roles: The salary/hourly rate range for this role is $137,141 per year - $161,342 per year. You will be eligible to participate in Drizly's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://drizly.com/careers.

BEFORE YOU APPLY...

We ask that you please remove all identifying information from your resume before you upload it on the next page in an effort to help us remove unconscious bias from our resume review process. Drizly is committed to cultivating an inclusive environment where a diverse group of people can and want to do their best work, and that starts with our hiring practices. Additionally, you must reside in the United States to be considered for this position.

Identifying information includes your name, photos, LinkedIn URL, email address and more.