Data Scientist

About Citizen
Citizen is the No. 1 public safety app in the U.S., with a mission to make the world a safer place. Citizen provides 911 alerts so people can use their phones to keep themselves, and the people and places they love, safe. Citizen has notified people to evacuate burning buildings, deterred school buses from nearby terrorist attacks, and led to the rescue of kidnapped children and missing people.
Citizen’s 911 alerts are accompanied by live stories, real-time updates, and user-generated content so app users never have to wonder why there are helicopters overhead or fire engines passing by. By broadcasting from the scene of an incident, communicating with one another, and reading live updates, communities are empowered by Citizen. We act fast, break news, and give people the immediate information they need to stay safe. And we’re just getting started.
Already relied on by millions of people every day, Citizen will expand even further across the United States this year to keep more users safe and informed. We’re looking for hardworking, mission-driven individuals to help bring Citizen to hundreds of cities nationwide.
Citizen is backed by Sequoia Capital, 8VC, Founders Fund, Goodwater Capital, and Greycroft and has raised $100M+ in VC funding.

Our Challenges

Scaling: We have one of the fastest-growing organic user bases in NYC, and have expanded to more than 30 cities across the U.S.. We are focused on the nationwide launch and the need to support that scale. A Citizen international launch will follow.

Analytics and Experimentation: every component of our product and business is continually measured and optimized through our modern data stack. Ours are some of the most interesting and impactful analytical problems in the world: lives are on the line!

Machine learning: We process thousands of hours of audio every day looking for incidents that impact our users’ safety, and have delivered billions of hyper-local notifications. To do this at scale, we’ve built ML models for audio analysis and targeting using the current state of the art from academia.

Our Stack - languages and technologies we use and teach

Data Analysis: SQL + Python/R via Periscope and Google Colaboratory

Data Infrastructure: DBT, Google BigQuery, Segment, Stitch

Mobile: Swift (iOS), Kotlin (Android)

Web: React.js, TypeScript

Services: Go for transactional systems; Python for analytical systems

Datastores: Cassandra, MySQL, Redis, Google PubSub

Infrastructure: Kubernetes on Google Cloud

Role Description

Our core challenges come from intersecting our growing internal datasets on user behavior and those on real time crime, fire, and medical incidents
Lead product analysis and experimentation to govern development direction
Deliver big-picture, cross-team insights to drive company strategy
Contribute to data team infrastructure and best practices to increase velocity

Requirements

Bachelor’s Degree in Computer Science, Math, Statistics, or related field
3+ years of experience in data science or analytics
Proficiency in programming/scripting and experience with statistical packages like R, Python/Pandas, etc
Strong knowledge of relational databases and ability to write SQL code at an expert level
Natural intuition for consumer products and businesses based on them
Aptitude with numbers, intellectual curiosity about metrics and measuring impact
Enjoyment of learning and teaching

Citizen offers a competitive benefits package including medical, dental, vision, flexible spending accounts, paid time off, company holidays, stock option plan, commuter benefits, and various wellness perks.
Citizen is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all.


Senior Data Scientist Machine Learning Ecosystems Servers

You will:
Apply state-of-the-art machine learning techniques to provide a deeper understanding of product, users, and communities
Build predictive models, apply causal inference techniques, and design and analyze experiments to support high impact company initiatives
Be a champion of experimentation and help groups throughout the company design, analyze, and interpret experiments correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
Ideate, communicate ,and partner directly with product, engineering, and business teams to improve decision-making and drive impact
You have:
Deep technical expertise in machine learning fundamentals, applied machine learning, and statistical modeling
4+ years of experience applying machine learning and statistical knowledge to solve ambiguous business problems
3+ years of experience writing excellent Python or R
Experience with technical leadership, being the point person for one or more stakeholder groups
Excellent communication skills, with the ability to deliver complicated findings and explain technical approaches to a variety of audiences
A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
Proficiency in SQL
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus points (you don't need all of these to apply!):
Experience in the design and analysis of A/B tests in a fast-paced environment at scale
Passion for Discord or online communities
Experience with social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV modeling, user segmentation, etc
Experience using a BI visualization tool like Tableau or Looker to surface model results, monitor performance, etc
#buildbelonging #LI-GB1
Benefits and Perks - Eligible to Fulltime Employees
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we’re all remote)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Senior Data Scientist Experience

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.

We are looking for a Senior Data Scientist to join our Experience insights team. To help us drive and support evidence-based design and product decisions throughout Spotify's product development process.

As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.

What you’ll do

Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience.
Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions.
Communicate insights and recommendations to stakeholders across Spotify.
Be a key partner in our work to build out our product  strategy so that we are relevant in the daily lives of consumers.

Who you are

Relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
Strong interpersonal skills and are comfortable working with multiple stakeholders.
Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.
You enjoy sharpening questions and developing hypothesis for yourself and can think together with others while clarifying their assumptions and hypothesis.
Proficiency with Python, or similar programming languages.
Experience with Google BigQuery or proficiency in SQL.
Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
A/B testing methodologies.

Where you’ll be

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours.
Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.

#remote

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Data Scientist Experience

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.

We are looking for Data Scientists to join our Experience product area and help drive research and data initiatives.

As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.

What you’ll do

Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience.
Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions.
Communicate insights and recommendations to stakeholders across Spotify.
Be a key partner in our work to build out our product  strategy so that we are relevant in the daily lives of consumers.

Who you are

Relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
Strong interpersonal skills and are comfortable working with multiple stakeholders.
Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights.
Proficiency with Python, or similar programming languages.
Experience with Google BigQuery or proficiency in SQL.
Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
A/B testing methodologies.

Where you’ll be

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the EMEA region in which we have a work location and is within working hours.
Working hours? We operate within the Central European and GMT time zones for collaboration and ask that all be located that time zone.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

#remote

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Data Science Consultant

The AI & Analytics practice group at Capgemini is expanding its footprint… rapidly.  As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail,   Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.
The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career.
Role & Responsibilities:
Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data
Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives
Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations
Analyze and model both structured and unstructured data to generate value
Use industry expertise and data science experience to uncover new opportunities with clients’ data
Qualifications
2-4 years industry experience, with work in a quant or data scientist field preferred
Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
Excellent team-oriented and interpersonal skills, with a strong interest for consulting
Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners
Strong understanding and application of statistical methods and skills: distributions, variance and correlation analysis, A/B testing, and regression
Expertise in machine learning algorithms and experience using the following ML techniques: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, Clustering, Linear Regression
Solid coding skills in at least one language, preferably Python or R
Experience with common data science packages (python: scikit-learn, matplotlib, pandas, numpy…// R: CARET, xgboost, gbm, ggplot, plotly, dply) or platforms (Azure AutoML, SageMaker, H2O.ai)
Experience working with databases (SQL, Hive, MongoDB)
Preferred Qualifications
Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras
Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka
Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
Knowledge of other coding languages such as Java, Matlab, SAS, C++
Experience with NLP, sentiment analysis, topic modelling
Graph Theory and Graph databases (Neo4j)
Experience Skilled with building and deploying predictive models and experience building
Additional requirements
Skills and experience with building data pipelines with SQL and ideally AWS tools such as Glue, Athena and Kinesis
Skills with Python
Some experience in building data pipelines, which source data from high-volume application and infrastructure event logs (as well as DB connectivity), would be a plus- sources such as Splunk or
New Relic would be a big plus
Some experience in data analysis
Good understanding of data models
Some exposure to analytics/ML/AI/AIOps and experience working as a data engineer in support of data scientists would be a plus
Experience as a Data Engineer on an AIOPs project would be a plus
We Offer
Full medical, dental, vision, dental plans AND life insurance (they begin day one!)
Seven company-paid holidays + 2 personal days (determined by when you begin)
401(K) that you can participate in day one – fully vested after 12 months!
Ten sick days per year for your own illness or for family needs
Long- and short-term disability
Employee Assistance programs and Employee Assistance Programs
Maternity & Paternity Leave
Adoption Assistance
Education Expense Reimbursement
Commuter Benefits


Data Science Senior Consultant

The AI & Analytics practice group at Capgemini is expanding its footprint… rapidly.  As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail,   Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.
The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career
Role & Responsibilities:
Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data
Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives
Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations
Analyze and model both structured and unstructured data to generate value
Use industry expertise and data science experience to uncover new opportunities with clients’ data
Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility
Design and build scalable machine learning models to meet the needs of given client engagement
Assist with the mentorship and development of consultants
Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts
Qualifications
5-8 years professional work experience as a data scientist or on advanced analytics/statistics projects
Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
Excellent team-oriented and interpersonal skills, with a strong interest for consulting
Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners
Preferred Qualifications
Experience with Deep Learning methods in NLP & computer vision, sentiment analysis, topic modeling and graph theory and databases
Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)
Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka
Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
Knowledge of other coding languages such as Java, Matlab, SAS, C++
Experience with building and deploying predictive and prescriptive analytics models
Additional requirements
Strong leadership skills and good communicator
Comprehensive knowledge of AWS architecture, tools, principles and integration methods- ESPECIALLY in data engineering, data lake and data pipeline space
Experienced in designing and building data pipelines, which source data from high-volume application and infrastructure event logs
Experience in sourcing data from SPLUNK and/or New Relic would be a big plus
Knowledge and experience with designing and building high volume data pipelines for data lakes and data warehouses in AWS cloud using tools such as: pure SQL, Python, Glue, Athena and Kinesis
Knowledge and experience with AWS persistent data storage tools such as S3, RDS and Redshift
Experienced in optimally connecting data pipelines to high-volume event log sources as well as DB connectivity- sources such as Splunk or New Relic would be a big plus
Experienced in data analysis
Experienced in defining data models
Background in mentoring Jr Data Engineer(s) to complete specific tasks on time
Some exposure to analytics/ML/AI/AIOps and experience working as a data engineer in support of data scientists would be a plus
Experience as a Data Engineer on an AIOPs project would be a plus
We Offer
Full medical, dental, vision, dental plans AND life insurance (they begin day one!)
Seven company-paid holidays + 2 personal days (determined by when you begin)
401(K) that you can participate in day one – fully vested after 12 months!
Ten sick days per year for your own illness or for family needs
Long- and short-term disability
Employee Assistance programs and Employee Assistance Programs
Maternity & Paternity Leave
Adoption Assistance
Education Expense Reimbursement
Commuter Benefits
Flexible Spending Accounts, Adoption Assistance
Perks at Work
Back up Child and Adult/Elder Care


Data Scientist

About us:
Limeade is an employee experience software company that helps build great places to work. Our platform unifies employee well-being, engagement, and inclusion solutions with industry-leading communications capabilities. Recognized for its own award-winning culture, Limeade helps every employee know their company cares. To learn more, visit www.limeade.com.
We're committed to creating a mission-driven, positive and inclusive culture of improvement made up of the best and brightest people in the business. And we've got the awards to back it up: Puget Sound Business Journal ranked us #1 Best Workplace in Washington, and Seattle Business ranked us one of the top three Best Companies to Work for in Washington State. In addition, we're one of the fastest-growing companies in North America (Deloitte's Technology Fast 500™), and Fortune magazine recognized us as a Best Workplace for Women. Limeade is a global company that embraces a distributed workforce and has users in more than 100 countries. Our headquarters are in Bellevue, WA.
About the role:
Limeade is seeking a Data Scientist I for a small but mighty Personalization team. In this role, you contribute to taking Limeade through its ML-first future, where best-in-industry algorithms are deployed throughout the platform to personalize the experience for all their users.
Responsibilities:
Building and implementing Machine Learning models utilizing Databricks in the Azure cloud
Researching and implementing MLOps best practices to enhance the Personalization team’s machine learning lifecycle process
Performing statistical analysis to validate models
Communicating findings and recommendations to the business
Requirements:
Ability to demonstrate our values in an on-going and consistent way
Bachelor’s degree in relevant field & min. 2 years exp.; or advanced degree w/out exp.; or equivalent work exp.
Strong programming skills in Python and SQL
Excellent understanding of machine learning techniques
Experience with big data platforms
Knowledge of statistics and experiment design (e.g. A/B testing, causal inference)
Ability to communicate complex technical work to a non-technical audience
Limeade provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Limeade will provide reasonable accommodations for qualified individuals with disabilities.
Please Note: Limeade is currently unable to support visa sponsorship for those living in the United States and working under an H1B visa.
#LI-Remote
Apply Now
Back To Top
Next:
Sr. User Experience Researcher


Data Scientist Ii

At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.

While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.

As a Data Scientist II at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision making throughout the business.

What You'll Do

Collaborate across teams to implement data science and machine learning solutions to optimize GoGuardian’s internal operations and SaaS products
Communicate methods and findings with stakeholders through written reports, presentations, dashboards, and APIs
Build machine learning models and deploying them as production services at scale
Extract and transform data in a reliable, repeatable manner
Empirically explore novel data sets to separate signal from noise
Build tooling to support efforts such as unit testing, automated deployment testing, model performance tracking, etc.
Join the best data science team in Ed Tech (as a start...)

Who You Are

Advanced education (PhD or Master’s) in a quantitative field (science, math, statistics, engineering, etc.) with professional work experience as a Data Scientist
Experience applying data science solutions to deliver impactful results
An outstanding ability to communicate complex findings to stakeholders outside of Data Science in a clear and simple manner with excellent written and oral communication skills
Advanced skills in python
Proven self-learner with the drive and talent to learn very quickly
Experience with git and cloud computing (AWS, GCP, or Azure)
Plenty of experience with traditional statistics and ML approaches
Experience extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects

Bonus if you have: Experience with Docker. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)

What We Offer

A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech

GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.

#LI-Remote
#BI-Remote


Data Scientist I

At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.

While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.

As a Data Scientist I at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision making throughout the business.

What You'll Do

Collaborate across teams to implement data science and machine learning solutions into our SaaS products
Continuously grow your skill set through project-based learning and collaboration with a talented DS team
Communicate methods and findings with stakeholders in written reports, presentations, and dashboards
Build machine learning models and learn to deploy them as production services at scale
Collaborate with talented data engineers to extract and transform data in a reliable, repeatable manner
Empirically exploring novel data sets to separate signal from noise
Contribute to technical improvements such as automated deployment, model performance tracking, etc.
Join the best data science team in Ed Tech (as a start...)

Who You Are

PhD or MS in a quantitative field (science, math, statistics, engineering, etc.)
Experience applying data science solutions to deliver impactful results in a job or internship
Excited about communicating complex findings in a clear and simple manner with excellent written and oral communication skills
Proven self-learner with the drive and talent to learn very quickly
Proficiency in python
Experience with git and cloud computing (AWS, GCP, or Azure)
Familiarity with traditional statistics and ML approaches
Familiarity with extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects

Bonus if you have: Demonstrated ability for self-directed learning and improvement. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)

What We Offer

A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech

GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.

#LI-Remote
#BI-Remote


Senior Data Scientist

About the Role
Data Science is the driver for our future at CARS. The team aims to build explainable algorithmic systems that help us solve business problems, create new opportunities and democratize intelligence for everyone while ensuring data ethics as the highest priority.
We are looking for a data scientist who has a passion for applying statistical methods in solving business problems. This individual will work with Data Scientists/Engineers, Product Managers & Designers, Analytics and Industry researchers, and will be responsible for building creative solutions that the auto-industry is facing today and the ones that aren't even discovered yet.
As we look to engage consumers in their car-shopping journey, we aspire to learn consumer behavior and its effect on the auto industry in general. To that end, the candidate will build econometric and machine learning models for causal inference and prediction and apply economic theory to solve business problems.
An ideal candidate should have business acumen, technical skills in quant and programming, and should be able to communicate effectively to a diverse audience.
What will you do?

Develop state-of-the-art methodologies for research problems that have high business impact, including areas of statistical and causal inference, econometrics, etc.
Work to help shape how CARS approaches issues related to pricing, measurement of Ad effectiveness and incrementality etc.
Collaborate with market research, communications and product teams on data visualization methods and use it to explain trends in auto industry
Design ML models to predict user behaviors and implement experiments to measure their impact on key product outcomes
Experience in deploying models to production and/or experimentation
Mentor fellow data scientists and folks across the company, who needs mentorship in leadership and technical skills

Basic Qualifications:

Advanced degree in Economics, Statistics or related field
Expertise with at least one programming language in either R or Python and SQL
Ability to do data analysis, reporting & visualization (Tableau, D3, etc.) at scale
Deep expertise in

applied forecasting models (econometric time series models, tree-based methods, etc.)
building interpretable models

Effective verbal and written communications skills

What you will love about the job?

We optimize for a healthy team not only for a highly performing team. In this role you’ll interact with a diverse group of folks from Product, Software Engineering, Data and Business teams.

All CARS employees are encouraged to bring their whole, authentic self to work every day, including their talents, passions, and unique ideas.
You’ll be working with some of the brightest minds of the industry.
Double bonus if you like talking about cars. We do too.

This job posting is inclusive of multiple levels within our Data Science Team. Based on your background, expertise and interests, we will assess and consider you for a senior, staff or principal level role.
#LI-KO1 #LI-Remote


Senior Data Scientist Resilience Modeling

About One Concern
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role

One Concern is growing rapidly, and we are looking for a passionate, mission-driven Senior Data Scientist, Resilience Modeling to join our team.

What you will do

Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing resilience prediction models
Work with and support domain experts and data scientists in different hazard products
Demonstrate up-to-date modeling skills (ML/statistical) and apply this to the development, execution, and improvement of action plans
Assess the potential usefulness and validity of new approaches and data sources.
Identify key problems in prediction models and propose innovative solutions.
Formulate your own problems as the problem might not always be defined for you
Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights

Must-haves

Ph. D. (preferred) with 2+ years or MS + 5 years industry experience in civil engineering, operation research, atmospheric sciences, statistics, mathematics, or related field.
Background in statistics, probability theory, machine learning and/or quantitative analytics
Domain knowledge and experience of natural disasters and/or risk modeling
Experience in risk model developments (machine-learning models or statistical models)
Proficient in Python

Good to have

Experience in the assessment of climate risks
Experience in community resilience modeling
Experience in large scale simulations
Experience in catastrophe risk modeling
Publication record

Compensation will be competitive with the market for this position and will include equity consideration. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Science Intern

About One Concern
One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role
One Concern is growing rapidly, and we are looking for a passionate, mission-driven Data Science Intern to join our team. In this role, you’ll work with our data science team to build global-scale resilience models.  This is a full-time internship for a period of two to three months with the possibility of converting to full-time employment.

What You’ll Do

Collaborate with an interdisciplinary team of software engineers and data scientists on cross-functional projects, interpreting data, and translating into actionable insights.
Assess the potential usefulness and validity of new approaches and data sources.
Build a global-scale resilience model to predict the societal and economic impact and recovery of the built environment against disasters
Build and improve existing resilience prediction models.
Work with and support domain experts and data scientists in different hazard products.
Demonstrate up-to-date modeling skills (ML/statistical) and apply this to the development, execution, and improvement of action plans.

Qualifications & Experience

Pursuing Ph. D. or M.S. in civil engineering, computer science, operation research, atmospheric sciences, statistics, mathematics, or related field.
Background in statistics, probability theory, machine learning and quantitative analytics (coursework or experiences)
Domain knowledge of natural disasters and/or risk modeling
Proficiency in Python

Nice to Haves

Experience in the assessment of climate risks
Experience in community resilience modeling
Experience in large scale simulations
Experience in catastrophe risk modeling
Publication record

Compensation will be competitive with market for this position. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, natural origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist Credit Risk Lending

About KOHO
KOHO is a quickly scaling FinTech company backed by leading investors and advisors from around the world. We started KOHO because we believe in doing two things:

Democratizing access to the best financial products and giving everyone a great financial foundation.

Since our journey began 6 years ago, we’ve raised more than $340M, grown the KOHO Collective to over 200 employees, and created accounts for more than 400,000 Canadians.

About the Role

We're building a world-class financial product and we need someone to help take our data operations to the next level. Our team is growing fast, and we’re looking for a Data Scientist to join us. You understand the data-driven decision making needs of a high-growth organization and are focused on concrete outcomes and KPIs. You look for the highest leverage solution to the most important problems, through either pragmatic analysis, a predictive model, or unsupervised learning methods.

What You'll Do

Design and develop statistical models for credit risk parameters (PD, EAD, and LGD) for lending products
Assist with model deployment and monitoring, as well as re-training or updating when necessary
Coordinate and maintain communication with business stakeholders on data science-related projects
Create dashboards or conducting ad-hoc analysis to answer pertinent or urgent data-related questions
Document results, insights and methodology on a project by project basis

What You'll Bring

3+ years of experience working with data and engineering teams
Experience with retail lending products
Experience with predictive credit risk modelling
Ability to get hands on: modelling, analysis, cleansing, documenting
Expert knowledge of Python and SQL
Strong communication skills both written and oral
Exposure to measuring business outcomes of machine learning models in production is highly valued
Experience with cloud-based platforms such as AWS or GCP
Passionate about applying data science in financial services, with ideas on how and where to improve customer’s financial lives
Experience deploying models in a production environment, and integrating them into SaaS infrastructure

Joining the (lovely!) KOHO Team
We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:

• Balance Your Life - Generous PTO, generous vacation, and a lifestyle spending account

• Work Anywhere - Permanently remote and $1,000 to set up your home office

• Level Up - Access to an in-house certified performance coach

• Reach Your Goals - Salary assessments twice a year, annual training allowance
• The KOHO Culture - We have won 6 "Great Place to Work ®" awards since 2019

The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact peopleaccessibility@koho.ca and the People and Culture team will be happy to help.

#LI-Remote #LI-DP1


Senior Data Scientist Analytics

From the Lloyd’s of London coffee shop to the moon landing, every venture relies on insurance. The $1 trillion insurance industry is fundamental to our economy and society, but remains stuck in the stone age. Incumbents rely on antiquated pen-and-paper process and there's a huge opportunity to transform it through technology. At Newfront, we're building software to supercharge insurance brokers and help them deliver a delightful experience to clients.

While we’re a technology-driven company, we believe that people and trusted relationships matter. Newfront believes in empowering people rather than "disrupting" them. Our singular mission is to create the future of work for this massive industry.

We believe breakout growth creates breakout opportunities and diversity drives innovation.

As a senior data scientist - analytics, your goal is to help Newfront make data-driven product decisions. You will dive deep into how data is collected in our product and elsewhere and uncover insights from that data. You will have widespread purview over how product analytics is done at the company, which metrics we should create and monitor, how we should test our product features, and identify areas for improvement in the business that have the highest impact. The role reports to the Head of Data.

This position is open to remote candidates with Pacific Time Zone preferred. #LI-Remote

Job Responsibilities

Own analytics across our entire product portfolio, from data instrumentation to KPI definition to reporting.
Democratize how we use data in the tech team and beyond by empowering product decisions that are rooted in metrics that we are trying to drive.
Deliver insights to product, operations and other business partners and proactively suggest solutions to problems that they are facing.
Collaborate with engineering teams to craft data requirements and guide event instrumentation.
Build curated dashboards and reporting that serve as the primary source for how the product team and business view results.
Run queries to support ad-hoc product questions.
Help establish A/B testing frameworks.
Educate the company on how and why data-driven decision making can take us to the next level.
Work directly with and mentor a growing data team of data engineers, analytics engineers, analysts and data scientists.

Requirements

4+ years of relevant work experience in a data scientist, product analyst role, or related.
Strong communication skills and ability to collaborate cross-functionally.
Curiosity and enthusiasm for digging deep into messy data and extracting deep, impactful insights from it.
A clear passion for staying up-to-date with and learning new analytics skills independently and continuously.
Exceptional skill in structuring analyses, dashboard design and data visualizations to communicate meaningful metrics within the business.
Ability to independently prioritize and focus on the questions that matter most to the business.
Strong SQL and Python skills.

Current Tech Stack

BigQuery
dbt
Airflow
Fivetran
Tableau

Newfront is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Newfront provides reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruiting@newfront.com.

NOTE:  The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.


Data Scientist

Company Description
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Description
Develops data models to meet the needs of the organization's decision-making process. Manages the flow of information between departments through the use of relational databases. Maintains data integrity by working to eliminate redundancy.
RESPONSIBILITIES
Enable better decisions using the dataHelp solve client challenges (e.g. performance mgmt., product or methodology evolution POC)Translate Clients’ requirements to actionable solutions or productsIdentify new business opportunities within our clients
A LITTLE BIT ABOUT YOU
You’ve dabbled in data. You’ve perused Python. And you have the communication chops to experience solving complex clients. While you’ve worked with global cross-functional teams, you can develop data models to meet the needs of the organization's decision-making process. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of digital media measurement takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next.
Qualifications
Bachelors or Masters degree in Statistics, Operations Research, or Econometrics with outstanding analytical expertise and strong technical leadershipExperience in quantitative analysis is preferred, and a strong educational background in engineering, statistical or technical fieldKnowledge in modeling techniques and methodologies: Linear regression, Time series Regression, K mean, Neural Networks, Decision trees, Classification, Machine Learning, Deep Learning, etc.Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. Develop creative scientific approaches to solve for client’s business questions that are currently not addressed with standard information available. Push the boundaries of a wealth of data to draw impactful insights to our clientsProficient in Python, R, SQL or other statistical packages.Ability to communicate effectively with clientsDemonstrates experience in statistical techniques, market research methodologies, research processes, operations as well as knowledge of the complexity of consumer businesses and client needs.Strong project management and communication skillsAbility to present and explain methodological and operational solutions to clients and executive leadership
Additional Information
All your information will be kept confidential according to EEO guidelines.
About NielsenIQ
NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.
NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.


Data Scientist Computer Vision

(Will also consider senior level candidates with computer vision experience.)
Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn allows you to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you can operate well in a complex and quickly changing environment and are able to talk specifically about heavy issues while bringing positivity to your work and colleagues, you could be an excellent fit for our team.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. A key aspect of our work is keeping abreast of the new ways technology is used to sexually exploit and abuse children and building the right technology in response to combat this, as well as building technology to support the broader child safety ecosystem in combating online child sexual abuse.
About the role:
As a Data Scientist, you build machine learning models to add intelligence to your team's product. You will uncover valuable insights, to expand and build on our existing and future products. The work you will do will be a combination of finding quick wins and developing longer term research. You will collaborate closely with Engineering and Product to identify insights and build models that will make an invaluable impact. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with your team. When you and the team conclude that the model or insight is ready to be shipped, you will partner with members of the Engineering team to simplify, architect, and implement an infrastructure for continuous deployment.
What You'll Do:

Research and develop statistical modeling for data analysis.
Build machine learning models to help end online child sexual abuse.
Provide business analysis to help streamline workflows.
Collaborate with team members to drive understanding of product and technology standards needs and devise possible solutions.
Discuss results and ideas with key partners, including child victim identification specialists, relevant law enforcement, and technology companies.
Implement new statistical methodologies as needed for specific models or analysis, prioritizing fairness in design and build.
Work with Data Science and Engineering team members on deploying insights and models and continuous model training and deployment.
Keep up-to-date with the newest developments in data science and machine learning.

What We’re Seeking:

A commitment to putting the children we serve at the center of everything you do.
You have experience designing, building, and deploying computer vision (traditional and deep learning) applications for production use cases.
You have a background in data science and statistical analysis.
You have an ability and interest in learning new technologies quickly.
You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy and strong advocacy for our users, while balancing the vision and constraints of engineering.
You communicate clearly, efficiently, and thoughtfully. We’re a highly-distributed team, so written communication is crucial.

Technologies we use:
You should have at least one year of professional experience with these:

Tensorflow or PyTorch
OpenCV (or equivalent image manipulation library)

You should have non-trivial experience with at least a few of these, but we’re open to teaching folks that have the desire and ability to learn the rest.

Pandas
Scikit Learn
Spacy, HuggingFace for NLP
Jupyter

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


Data Scientist Aws Talent Acquisition Data Analytics

View transcript
DESCRIPTION
Job summaryWe are looking for Data Science professionals to drive our analytical revolution in the AWS Talent Acquisition (TA) space. You get the opportunity to work on a ground up rebuild of our analytical capabilities, from data ingress, to complex business transformations to end user reporting and beyond. In this role, you will invent and build on behalf of candidates, experiment and test new ideas, evangelize successes, and drive consistency.The ideal candidate is an independent Data Scientist who can source data, cleanse, analyze, refine, enrich, model, present, automate and document our business data pipelines. You will always be on the lookout for ways to optimize the information flow process, stay on top of latest trends in data warehousing and be able to coordinate and work on multiple, related projects.Key job responsibilities· Collaborate with researchers, software developers, and business leaders to define business processes and provide analytical support· Leverage code to analyze complex datasets and design, develop and evaluate data transformations to solve specific business problems· Build scalable, efficient, and automated data processes to facilitate customer-facing reporting· Automate TA processes to streamline business operations· Communicate verbally or in writing to business customers / leadership to sharing insights and recommendationsA day in the lifeAre you passionate about driving business & customer impact through thoughtful analysis and data-driven insights? Are you a deeply technical individual who enjoys working with customers to transform how a business operates? Are you a builder that excels with ambiguity?
BASIC QUALIFICATIONS
· Degree in Computer Science or related engineering field· Self-sufficient in data analysis· Fluent in SQL· 3+ years experience with Python scripting· Proven experience in with SQL and large data sets, data modeling, ETL development, and data warehouse, or similar skills· Experience with AWS technologies stack including Redshift, RDS, S3, EMR or similar solutions build around Hive/ Spark etc.· Experience operating very large data warehouses or data lakes.· Familiarity with BI Tools such as QuickSight, Tableau, and MicroStrategy· Understands data warehouse design· 7+ years of experience in the analytics or related field
PREFERRED QUALIFICATIONS
· Demonstrable expertise in dimensional modeling and Data Warehouse tuning· Experience with building data pipelines and applications to stream and process datasets at low latencies· Strong understanding of information security as applied to handling sensitive data· 7+ years of experience in the analytics or related field· 6+ years of python scripting· Meets/exceeds Amazon’s leadership principles requirements for this role· Meets/exceeds Amazon’s functional/technical depth and complexity for this roleAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Senior Data Scientist

Full Time, Remote
Our mission is to make the best mental health tools radically accessible for everyone.
We are pioneers in building personalized digital mental health tools to help millions of people with mental health difficulties.
Our tools are powered by the latest research in NLP and ML, use scientifically proven techniques from Cognitive Behavior Therapy, and are based on 10 years of intervention science at Stanford University. Our founder has an international reputation in Digital Mental Health intervention development.  Our Chairman is Andrew Ng; and Dan Jurafsky is a member of our advisory board, both globally recognized leaders in AI/NLP.
There has never been a better time to use your data science skills for good. Given the recent acceleration in infrastructure to allow for the meaningful adoption of digital therapeutics, our strong product reputation, and existing relationships within health systems, Woebot is in a period of explosive growth.
We are looking for product-minded Senior Data Scientists to use their expertise to enhance our understanding of the conversations Woebot has and deepen the intelligence, sophistication and personalization of those conversations.
What you will do:
As a member of the growing Data Science team, you will work cross-departmentally with clinical and engineering team members, notably with our Machine Learning Engineering team, to help translate your expertise into sophisticated conversation advances, impactful personalization features and intelligence in service of improved user experience and mental health outcomes.
NLP & Conversation AI
We are constantly looking to improve and evolve Woebot’s conversational capabilities while taking into account the current conversational context and the mental health journey of users.

Help build machine learning models that enable Woebot to more naturally converse with, and understand users through a variety of NLP, machine learning and deep learning approaches.
Model conversations and develop metrics and insights to help us understand shortcomings and opportunities for improvement.
Investigate the mediating effect of tunable conversational features such as tone, verbosity, humour and empathy in conversation performance

Personalization
We consider personalization to be key for developing a relationship over time, and delivering adaptive interventions to ensure Woebot thoughtfully delivers the right content, at the right time for every user.

Improve user profile metadata, both collected and inferred, to improve conversation capabilities and conversation parameterization.

Design & analyze experiments determining the most efficacious approaches in personalized content delivery for users within and across sessions
Collaborate with Product & Design teams to deliver datasets, models and heuristics to power personalization of existing and new features

Engagement Analytics
Through our consumer application and ongoing clinical studies, we are generating important datasets that allow us to investigate some of the most pressing questions in digital mental health around engagement, dose and treatment outcomes.

Perform exploratory analyses to generate actionable insights across our large scale datasets in both controlled studies, consumer usage datasets and a/b experiments.
Deepen the quality and depth of research conducted across Woebot by using data to help shape and guide our study pipeline and quantitative methodologies.

Required:

Ph.D. in quantitative field with extensive data analysis alongside 2-3 years in industry role and/or ML/AI experience OR 5-8+ years in relevant role

A strong background in one or more of the following areas: statistics, machine learning, natural language processing, large-scale data mining or artificial intelligence
Proficient in Python/R and SQL
Demonstrated ability to conduct reproducible analyses and develop written materials and data visualizations that deliver actionable insights
Excellent interpersonal and communication skills, both oral and written.

Preferred

Knowledge of one or more modern ML/NLP frameworks, such as PyTorch, Tensorflow, or Keras
Experience in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Hands-on expertise in many disparate technologies and the full model lifecycle, typically ranging from data pipelines, data extraction, model training, model serving, labeling tools, ML-ops, ad-hoc tooling and all points in between.
Previous experience working to develop Conversational AI & NLP models and/or delivering personalization solutions in mobile applications.
Proficiency in data visualization tools like Looker or Tableau

Our Core Values:

Empathic: You’re a compassionate person and a team player motivated to understand others and help them be successful, too. You care as deeply for your colleagues as you do for our mission and our users.

Self-aware: You possess a high level of emotional intelligence, which allows you to understand yourself and others, and to have a healthy emotional life in the workplace.

Proactive & flexible:You are able to hit the ground running, you take responsibility for finding a way to get the job done. You learn as quickly as possible and sometimes do things outside the immediate scope of your work, giving it all you’ve got.

Strong work-ethic: You’ve mastered healthy habits in your life that allow you to do great things. You exemplify dedication and commitment to coming up with very good results in your work and inspire others to do the same.

Growth mindset: You believe abilities – like intelligence and talent – can be developed through dedication and hard work. You see failure as an opportunity to grow and welcome feedback as a pathway to your continued success.

Humble: You recognize that you are one among many, and you hold a genuine desire to discover what other people can offer. You are intrigued by how others think, and how others feel differently from you. You lean into these moments with patience and  curiosity.

 Benefits

Competitive Salary
Stock Options
Flexible PTO
Health, Dental & Vision

Woebot is an equal opportunity employer and we deeply value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Head Of Data Science

Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances.  We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.

The company is a fast-growing fintech that has been recognized numerous times as a best workplace.  If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.

Marlette celebrates diversity and equal opportunity.  We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow.

At Marlette we believe everybody should have the opportunity to enjoy life.  As a fast growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.

Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our ML practice. Our Data Science team is dedicated to creating machine-learning models that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data scientists and business stakeholders.

Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award winning fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.

Role Highlights

Responsible for the data science function in the company supporting all business functions.
Lead innovation within the business by creating additional value through the utilization of data assets and analytics.
Set vision, educate and evangelize use cases of advanced analytics and data science application throughout the business.
Liaise with technology team to set vision, capabilities, infrastructure and roadmap of data science capabilities.
Liaise with data team to identify opportunities in new and/or alternative data sources.
Lead and nurture data science talents through role definition, recruitment and development of team members.
Create and facilitate collaborative environments with other business functions to ensure high synergies and alignments.

To be successful in this role

You should have a Master or PhD in quantitative fields, preferably Statistics, Economics or Data Science.  Additional degree in business is a plus.
You should have a solid foundational understanding of the technical aspects of Data Science – good in statistics, machine-learning techniques, experimental designs and know how to obtain and use big data (structured and un-structured). Experience with adaptive models is a plus.
You should have deep understanding of the business dynamics; and proactively lead/conduct exploratory data analyses and experimental designs.
You should be proficient in writing your own SQL and Python including machine-learning libraries (panda, scikit-learn, matplotlib, etc.), R or SAS.  Knowledge in Amazon Sagemaker is a plus.
You should have strong communication and influential skills necessary to ensure high synergy and alignment with other business functions.
You should be a team-builder, result-oriented and self-driven superstar with minimal supervision, as well as open-minded and strategic thinker.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Brand:

At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances.  For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.

Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team.  If you are interested in helping us, you can apply HERE


Data Scientist Personal Loan

Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances.  We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.

The company is a fast-growing fintech that has been recognized numerous times as a best workplace.  If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.

Marlette celebrates diversity and equal opportunity.  We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow.

At Marlette we believe everybody should have the opportunity to enjoy life.  As a fast growing fintech, we are on a mission to help our customers gain easy access to funds and reach their financial goals. Our Best Egg personal loan product has an impeccable record and stands out in the industry with its strong value proposition and overwhelmingly positive customer reviews.

Data is at the heart of everything we do. Join a Data Science team working at the cutting edge within our industry and constantly advancing our ML practice. Our Data Science team is dedicated to creating machine-learning models that power innovation and creative insights that pioneer new products and help our business reach the next level. We work on diverse projects across all business units within the company and have a direct engagement model between data scientists and business stakeholders.

Join a collaborative group of Data Scientists skilled in predictive analytics and help them to deploy and monitor real-time production-grade models in projects spanning the business from credit risk, direct marketing targeting, fraud operations, and many more! Enjoy the stability of a profitable, award winning fintech and challenge yourself with plenty of growth and upward mobility within a data rich environment. Be a part of a growing team using the latest tools and technologies to disrupt the industry and empower our customers to reach their financial goals.

Role Highlights

Partner with various business units to develop machine-learning models used in targeting / underwriting / pricing / fraud and verification strategies.
Collaborate with business stakeholders to identify risks and opportunities using data and machine-learning models.
Take ownership of a rich library of machine learning tools and enjoy authority to continue to research efficient and effective strategies.
Access a deep set of application, bureau, web, and alternative data to gain insights and convert these insights into actionable strategies and models.
Play with end-to-end machine learning pipelines including data extraction, feature engineering, model building, performance evaluation and implementation.
From time to time, be involved in search of relevant big data and in assessing 3rd party vendor’s capabilities.
Enjoy a culture rich in learning and frequent small wins, our Data Science team is small and contributes insights to decisions made across the entire business.

To be successful in this role

You should have a Master or PhD in quantitative fields, preferably Math or Data Science.
You should have a solid foundational understanding of the technical aspects of Data Science – good in statistics, machine-learning techniques and know how to obtain and use big data (structured and un-structured). Experience with adaptive models is a plus.
Able to leverage SQL, Python including machine-learning libraries (panda, scikit-learn, matplotlib, etc.), R or SAS.  Knowledge in Amazon Sagemaker is a plus
Able to communicate with business partners for modeling needs, sample design and planning.
Self-motivated and high creativity in problem solving; ability to present models to business stakeholders in an easy-to-understand format.
Freestyle thinker; Ability to work in a fast-paced and fast-changing environment.
Enjoy a culture rich in direct communication, no politics, continual learning where we celebrate success and have fun too.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Brand:

At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances.  For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.

Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team.  If you are interested in helping us, you can apply HERE


Senior Data Scientist

Why We Need You:
We’re looking for a Senior Data Scientist and a proven leader passionate about building machine learning models with big data in production successfully. We expect you to collaborate with product, data-engineers and full-stack engineers to drive alignment on ML/AI-driven features at PagerDuty. If you are technical, creative, future-focused, and excited about fostering an environment amongst our engineers that helps create avenues for success and learning, then this is an excellent opportunity for you.
How You Contribute to Our Vision: Key Responsibilities

Build data driven solutions to solve business critical problems across multiple domains by developing statistical and machine learning methods on top of PagerDuty’s data infrastructure.
Work both independently and collaboratively with other data scientists, product managers, engineers, and designers to solve complex problems that deliver business value
Influence leadership to drive more data-informed decisions
Communicate, align and drive interest within the entire organization to be more data driven
Provide guidance, technical leadership, and mentoring to other members of the team
Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt

Minimum Requirements

Graduate degree in computer science, statistics, mathematics, or related quantitative field.
You have 5+ years using machine learning and statistical analysis for building data-driven product solutions for large scale systems at the production level.

Hands on experience in Python, SQL and other related tools.  Python is a must; C++ Java are nice to have.  Should be able develop ML features in Python for Deep Learning or Scala

Have an entrepreneurial mindset to drive research projects to completion with minimal guidance.
Strong ability to justify technical prioritization and communicate scientific work in a clear and effective manner to stakeholders, other engineers and Product
Experience working with Engineering teams ensuring a timely delivery


Senior Data Scientist Search Analytics

Reddit brings hundreds of millions of people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
We are looking for a Senior Data Scientist to lead our Data Science efforts in Reddit Search and to partner with our Search Relevance and UX teams to drive analysis, experimentation, and user understanding for Reddit Search. Generating billions of events and terabytes of data a day, we’re in the unique position to revolutionize content discovery on the internet. We are overhauling Reddit’s search and relevancy infrastructure, and we depend on data to make sure that we can trust our decisions and constantly improve the Reddit discovery experience.
As a Senior Data Scientist for Search you will join a small but growing team and will help us expand beyond the front page and better connect users to the specific content they care about. If you are curious, excited about measuring user success, and motivated by having an impact on a platform that creates community and belonging for its users: we want to hear from you. You will partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage people to find communities and content that they love.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. Reddit has over 100,000 communities, and a true sense of community and belonging can only be achieved by ensuring we are able to connect the right people to the right communities within that network. Your work on Reddit Search will directly contribute to those efforts.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world that empowers NLP applications, IR applications, and social network analysis. This is an exciting opportunity to dig into the data behind the “front page of the internet.”
What You’ll Do:

Conduct exploratory analyses on understanding Search to help shape the work the team undertakes.
Identify the signals that can be best leveraged to connect users, through Search, to the communities and content that will inspire them to contribute posts or comments
Define, build and track success metrics for Search experience.
Develop tools to help analyze the movement of the metrics and help the team understand why their changes impact the metrics.
Continuously improve the metrics in terms of sensitivity, actionability, and fidelity to the user experience.
Ensure high-quality and trustworthy Search experiment results and ensure that experimental designs lead to action.
Define metric goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards.
Communicate findings and co-design strategy with the most senior leaders in our organization

Who You Might Be:

5+ years of experience in quantitative or data science roles, preferably for a consumer-facing service/app
2+ years of experience focused on a search product or feature
Able to design, interpret, and act on A/B experiments.
Familiar with statistical analysis and programming languages (e.g., R / Python)
Proficient with querying relational databases (e.g., SQL)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Able to communicate and discuss complex topics with technical and non-technical audiences
Able to tackle ambiguous and undefined problems


Manager Assortment Data Science And Analytics

Job DescriptionThe Nordstrom Merchandising Data Science team uses statistical modeling and analysis to solve some of the most critical problems at Nordstrom from what products we offer, to how much we invest in inventory, to how we price our goods.We are looking for a leader of our Assortment Data Science and Analysis group. As the leader on this team, you will play a key role in developing analytical strategies and predictive models that improve our ability to offer the right products to customers at the right time, driving higher conversion, lower returns, and happier customers. You will also be responsible for the intelligence we share with the merchandisers, buyers, and planners to support their assortment decisions.The ideal candidate for this role will have a background leading highly productive teams and strong modeling and analytical skills.Read this first: Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat to see what skills/experience you are able to bring to this team.In this role your leadership will drive:
Development of predictive models to inform product assortment choices
Building robust, end-to-end model pipelines and production APIs
Analyzing industry trends and customer style preferences
Working closely with engineering, product, and merchandising business teams
Gathering, analyzing, and presenting data to support various business initiatives using Tableau dashboards, applets, and written communication

Basic Qualifications:
Advanced degree in quantitative field and/or management program
3+ years of related analytical and modeling experience
1+ years of managerial experience with technical teams
Strong communication skills with both technical and business leaders. Ability to speak at a level appropriate for the audience
The ability to implement models and tools through the use of modeling languages (e.g. Python, R)
Hands-on experience with statistical analysis
Hands-on experience with machine learning and data-modeling
Understanding of the software development lifecycle
Preferred Qualifications:
Familiarity with fashion and/or trend related retail business operations
Experience working effectively with software engineering teams
Experience with agile project framework
Experience with version control software, such as Git
Familiarity with SQL and experience with large-scale data
The ability to manipulate and analyze data by writing scripts (in Python, R, etc)
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote#LI-EBWe’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Nordstrom Careers Privacy Policy: https://careers.nordstrom.com/#/contact-us/privacy© 2021 Nordstrom, Inc. Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $124,600-$186,900, Nevada: $124,600-$186,900


Data Scientist Product

Clubhouse is a new type of social product based on voice. It allows people everywhere to talk, tell stories, develop ideas, deepen friendships, and meet interesting new people around the world.

Our early users love the product and we have grown very quickly since we launched in 2020. We take pride in being a small and productive team, with a relentless focus on our product and our community. As a company we are well funded, with backing from top-tier VCs and many of the best angel investors from Silicon Valley and beyond.

We are seeking to add extraordinary people to our growing team. If you think you would be a good fit, please let us know!

The Role

As a Product Data Scientist, you will work closely with our product and engineering teams to formulate and answer key questions about our product. You will play a central role in collecting, modeling, and analyzing data, and will drive meaningful changes to our product and user experiences based on your findings.

In this role, you will report to our Head of Data Science. We are a remote friendly-company — with our headquarters in San Francisco, a second office in LA, and a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S.

Who you are

You are curious, inquisitive, and enjoy solving ambiguous, open-ended problems. You are able to identify high impact problem areas with little direction. You have a healthy skepticism about data and know when to dig deeper into a problem.

You have the technical skills to work independently. You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python. You have deep experience with experiment design and analysis. You have experience as a data scientist at a fast growing company and have a proven record of impact.

You are a strong communicator and are able to explain complex concepts to a wide audience. You are adept at crafting clear and impactful data visualizations.

You are meticulous and forthright. You are experienced with finding clear answers despite messy data sets, and are able to catch data issues as they arise.

You bias towards action. You like to build and ship - favoring practical choices, speed and a respect for sequencing. You focus on the things that matter and push back on things that don’t. You make deadlines for yourself and you move fast.

You’re scrappy and entrepreneurial. You thrive in fast-paced environments and are comfortable with not knowing the answer to something. You are willing to roll up your sleeves no matter what the challenge is.

You take pride in what you do. You care deeply about your work. You read through details and think about every bit of the user experience. If something seems off, you come up with a good solution and fix it without being asked to do so. You’re proactive with suggestions and people know they can count on you to get things done.

You enjoy your work. You love what you do, not because you feel you have to, but because you’re so excited to create something big for the world. Your favorite thing to do is to take on a huge challenge and pull it off.

You care about doing the right thing. You value diversity and go out of your way to ensure others feel welcome. You enjoy hanging out with your teammates, have a low-ego, and make the workplace more fun for everyone.

What you will do

In this role, you will play a key part in defining the data culture within Clubhouse and ensure that we have principled, data-driven decision-making processes. As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction. You’ll have the opportunity to work alongside our product and engineering teams on high-profile feature launches that affect millions of people.

There are numerous complex product questions that we would look to a data partner to help the team untangle. On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions. Or you may be playing a hands-on role in new feature launches, ensuring that we understand the impact of policy changes on users and can identify potential issues early in the process. You will have the opportunity to do foundational analysis on important, unsolved questions across a wide range of problem spaces.

You’ll grow and improve rapidly. At Clubhouse you’ll be working with an incredible team, who love to learn from and teach each other. You’ll find yourself stretching to new areas, immersed in feedback, challenged by your teammates, and growing your skills on a daily basis.

You’ll shape the product strategy. You will get to use your own product (and talk with others while they are using it) every day, and have significant input into its development. Your ideas will always be heard. Your work will vary over time and will cover a variety of areas. On a given day, you may be launching a new way of ranking support tickets, analyzing trends in different types of user behavior, or finding ways to proactively identify content in violation of our policies.

You’ll be an owner. We believe in hiring people and giving them as much responsibility as they can handle.

You’ll create something meaningful. Social products allow people to connect in ways that were never before possible. When the telephone was invented, it suddenly allowed people to speak with others across the world. Thanks to FaceTime, grandparents everywhere can now watch their grandchildren grow up. At Clubhouse, you’ll be figuring out something entirely new for the world—a positive product that brings people’s voices together for deep and meaningful conversations, creates new relationships, builds empathy across cultures, entertains people, and helps people develop ideas that change the course of their lives.

As an early team member at Clubhouse you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life. If you think you might be a good fit for our team, we’d love to hear from you!