Senior Data Scientist Inference Estimation

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 5000 businesses are spending an average of 3.3% less and closing their books 8 times faster, thanks to Ramp’s finance automation platform. Ramp enables billions of dollars of purchases each year.
Founded in 2019, Ramp has achieved a valuation of $8.1 billion in just over 3 years, on the heels of nearly 10x year-over-year growth. It has raised over $1B in funding from investors including Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The team featu combines experience from some of the leading financial services and fintech companies—Capital One, Stripe, Affirm, Goldman Sachs, American Express, Visa—with high-growth technology companies like Facebook, Spotify, Zendesk, Intercom, and Webflow. Recently named Fast Company’s most innovative finance company, Ramp is NYC’s fastest-growing startup and America’s fastest-growing corporate card.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. The Data Science team at Ramp creates value by optimizing core leverage points across the business and owning the models powering decision-making. You will need to have a head for strategy & cross-functional collaboration, since you will partner closely with business & product stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science models in production.
Inference & estimation data science at Ramp focuses on solving quantitative problems across credit, fraud, growth, and our core product by applying the right mix of causal inference, structural modeling, and optimization.
What You’ll Do

Develop Ramp’s research and experimentation frameworks by developing causal inference based models and tools to drive analysis
Full stack data science development: from upstream data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage a combination of causal inference, structural modeling and optimization to build key models to solve core business problems
Formulate backtesting frameworks to empirically validate model performance
Design, implement, and evaluate statistically-sound experiments to measure the causal impact of treatments and interventions
Generate and communicate data-driven insights to influence decision making across Ramp

What You Need

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 3 years of industry experience as a Data Scientist, Research Scientist, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery), experience working with large datasets in Python
Strong familiarity with the mathematical fundamentals of advanced statistics, optimization, and/or economics, as well as methods for experimental design and causal inference
Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
Track record of shipping high quality data products in production and at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Experience at a high-growth startup

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents
OneMedical annual membership

401k (including employer match)
Unlimited PTO
Annual education reimbursement
WFH stipend to support your home office needs
Monthly wellness stipend; Headspace annual membership
Parental Leave
Relocation support


Sr Data Scientist

At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. Because of that we’ve earned numerous honors and top rankings for our technology, organization and talent. Our culture was purpose-built to be remote first, and we offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. If you’re ready to work on unrivaled technology with a team that makes a difference every day, let’s talk.About the Role:CrowdStrike’s Data Science team is expanding -- we are at the exciting intersection of Machine Learning, Big Data, and Security and are looking to add a senior data scientist specializing in machine learning to our growing team.  You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our supervised learning models and refine our identification of malicious computer software and behavioral threats.  CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 500 billion behavioral events per day and have over 2000 terabytes of malware samples in our research repository.  We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.What You’ll Need:
Undergraduate or post-graduate degree in a STEM field
6+ Years of post-undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses
Programming experience in Python, Rust, R, MatLab or Scala to match (preference in that order)
 You will:
Mine large scale and high dimensional data, identify patterns, and visualize trends
Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats
Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
Work closely with domain experts to improve our raw data and to derive more value from data collected
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate and visualize analyses, results and processes in our machine learning pipeline
You are:
Passionate about cybersecurity, with a firm understanding of the problem space or passionate about applying your machine learning skillset to new domain areas such as cybersecurity
Versed in utilizing Machine Learning techniques and familiar with the standard algorithms, their trade-offs, their usage, and how to tune them
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights
An independent self-starter who likes to take ownership and independently seeks out new challenges
Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
Comfortable to dive into a Python codebase, including experience with unit testing and the python packaging ecosystem
Comfortable and experienced working in a Linux environment in the AWS cloud
Analytically minded: never afraid to drill down into a data-set, or debug-deeper into an unfamiliar codebase
#LI-RC1#LI-RemoteBenefits of Working at CrowdStrike:
Remote-friendly culture
Market leader in compensation and equity awards
Competitive vacation and flexible working arrangements
Comprehensive health benefits + 401k plan
Paid Parental Leave, including adoption
Wellness programs
A variety of professional development and mentorship opportunities
Open offices have stocked kitchens, coffee, soda and treats

We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.CrowdStrike, Inc. is committed to fair and equitable compensation practices. For applicants in Colorado the salary range is $160.524 - $267.540 + bonus + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications.  The salary range may differ in other states.CrowdStrike participates in the E-Verify program.                 Notice of E-Verify Participation                Right to Work


Data Scientist

At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services delivery, and intelligence gathering together with our innovations in machine learning and behavioral-based detection, allow our customers to not only defend themselves, but do so in a future-proof manner. Because of that we’ve earned numerous honors and top rankings for our technology, organization and talent. Our culture was purpose-built to be remote first, and we offer flexible work arrangements to help our people manage their personal and professional lives in a way that works for them. If you’re ready to work on unrivaled technology with a team that makes a difference every day, let’s talk.About the Role:CrowdStrike Identity Protection team is expanding. We are looking for Data Scientists to help us build solutions with detections based on indicators of risk, analytics and risk scoring.  You will have the opportunity to apply your coding, mathematical and scientific research skills to the bleeding edge of security technology. You’ll be able to leverage large-scale rich data to meaningfully improve our unsupervised learning models, refine our identification of malicious identity-based threats and create network insights. CrowdStrike’s cybersecurity data is one-of-a-kind: we process over 1 trillion behavioral events per day and have over 2000 terabytes of malware samples in our research repository.  We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.What You'll Need:
Undergraduate or postgraduate degree in a STEM field
Extensive post/undergraduate experience in data science, machine learning, or any field employing computational science or data driven analyses
Programming experience in Python
You will:
Mine large scale data, identify patterns, and visualize trends
Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.
Work closely with domain experts to improve our raw data and to derive more value from data collected
Create predictive models using supervised learning techniques to accurately classify network entities
Hone your ability to balance detail-oriented research with goal-oriented business objectives
Implement and experiment with new algorithms and methodologies to help improve our machine learning models
Automate and visualize analyses, results and processes in our machine learning pipeline
You are:
Passionate about cybersecurity, with a firm understanding of the problem space or passionate about applying your machine learning skillset to new domain areas such as cybersecurity
Versed in utilizing Machine Learning techniques and familiar with the standard algorithms, their trade-offs, their usage, and how to tune them
Have experience working on very large data sets of sparse high dimensional data and experience in pre-processing and analyzing such data to gain actionable insights
An independent self-starter who likes to take ownership and independently seeks out new challenges
Thirsty for knowledge and do not hesitate to step outside of your comfort zone to learn new technologies, algorithms and concepts
Comfortable to dive into a Python codebase, including experience with unit testing and the python packaging ecosystem
Comfortable and experienced working in a Linux environment in the AWS cloud
Analytically minded: never afraid to drill down into a data-set, or debug-deeper into an unfamiliar codebase
#LI-MB1#LI-RemoteBenefits of Working at CrowdStrike:
Remote-friendly culture
Market leader in compensation and equity awards
Wellness programs
A variety of professional development and mentorship opportunities
Open offices have stocked kitchens, coffee, soda and treats
Inclusive culture focused on people, customers and innovation

We are committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.
CrowdStrike is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.


Director Data Science

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring a Director of Data Science to lead a global, cross-functional Data Science team focused on the evolution of the Slack product! As a leader on the Data Science team, you will deliver data and insights that drive decision-making, execution and investments for our product initiatives in a dedicated area of the business. This is a one of a kind opportunity that includes team buildup, foundation setup, and collaboration model establishment. Success requires analytical savvy, problem-solving sophistication, a willingness to roll up your sleeves and a dedication to make the highest impact possible. We are looking for someone that can think on their feet and thrives in a dynamic environment. Enterprise product experience, with an understand of the end-user will be key to this role.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you'll be doing:
Build and lead a high performing DS team, drive professional development goals of the team
Set a compelling vision and prioritize work based on product strategies and overall goals
Establish strong partnership with executive level stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members
Work cross functionally with the rest of PDE org to influence product strategies and roadmaps, help build and influence a data informed decision making culture
Synthesize learnings and insights.  Communicate a data narrative around product usage, tying this into the overall Slack strategy
Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation. Jump in when needed!
Partner closely with product researchers, and when appropriate, align roadmaps and collaborate on projects to answer complex questions
Build partnership and alignment with our data cross-functional partners, including Data Engineering and Business Intelligence, to author and develop core data sets and empower operational and exploratory analysis
What you should have:
7+ years of experience in product data science in related tech industries
2+ years experience in a product DS managerial role
Ability to build clear and concise presentations, and communicate effectively at every level of the organization
Strong project management skills
BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); An advanced degree (MS, PhD) preferred
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Skill-Set/Technologies used daily: Python/R, SQL, data visualization tools, data pipeline tools, descriptive machine learning, experimentation and measurementFor Colorado-based roles: Minimum annual salary of $166,600. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Staff Data Scientist Platform

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are looking for an experienced Data Scientist to support the Platform product area at Slack. The Platform ecosystem is a critical component of Slack’s strategy to become the place where work happens. It enables users to truly customize Slack and integrate their everyday tools to streamline and speed up work!In this role, you will work closely with the Platform product organization to understand and improve the product experience of app developers and builders - non-technical people leveraging Slack’s no-code platform tools. As Slack builds out its next generation of Platform capabilities, you’ll work on unearthing insights and building a complete picture of what users build in Slack. You will also help establish the foundational analytics infrastructure to enable measurement of various Platform tools. You will partner with researchers, designers, and engineers to uncover user experience gaps and opportunities. Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand usage patterns of developers and builders who create on the Slack Platform
Perform evidence-based evaluations of the most important drivers of increased adoption of the Platform capabilities
Build out key success metrics and reporting for the Platform product organization
Prototype foundational data pipelines and partner with the data engineering organization to elevate these into canonical sources of truth for Platform metrics
Identify and clearly communicate potential opportunities to improve the experience of users who want to build apps in Slack
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and analyses into a coherent narrative that evaluate the success of and influence product strategy
What you should have
4+ years of data science or engineering experience doing data science or quantitative analysis, with preferred experience in settings with multiple consumer user types, such as a marketplace or productivity or collaboration tools.
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
Expertise in at least one programming language for data analysis (e.g. Python, R, Scala)
Experience working with data technologies that allow analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc). Familiarity with Apache Airflow is a plus.
Comfortable and skilled at written and verbal communication to varied audiences
Experience collaborating with and influencing cross functional partners
Experience in building advanced data pipelines and designing data scheme and table infrastructure
Plus: Experience with statistical and machine learning methods to build descriptive and predictive models
For Colorado-based roles: Minimum annual salary of $150,200. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Senior Data Scientist Slack Connect

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring an experienced data scientist for our Slack Connect product area. This cross-functional team focuses on building features to connect users and teams across organizations to enable productive and proficient cross-company collaboration. Slack Connect has been a huge success since its initial launch! A full stack Data Scientist is welcome to join this fast growing team to contribute to the dream of enabling our customers to collaborate efficiently and safely across organizations in a friction free way.In this role, you will seek to understand how Slack Connect features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Slack Connect. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this strategic area.You will also inform and influence decisions using data and research by crafting our findings into narratives and partnering with key decision makers within and across product pillars. You will have a unique opportunity to partner with world class researchers with varying backgrounds, including user researchers, market researchers, and survey scientists to uncover user experience gaps and opportunities.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Partner with data engineering org to design and build slack connect data and metrics structure
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for slack connect and provide data informed target setting
What you should have
3+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Expertise in at least one programming language for data analysis (e.g. Python, R)
Expertise in designing and deep-diving experiments to guide product launch decisions
Experience using statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc)
Experience in building advanced data pipelines and designing data scheme and table infrastructure
Strong written and verbal communication skills
Experience working in fast changing tech development environment
Experience collaborating with and influencing cross functional partners
For Colorado-based roles: Minimum annual salary of $121,800. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Data Scientist Product Intelligence

Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
Data Scientist, Product Intelligence
FULL TIME/ REMOTE - US
The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.
This role will be part of the Product Intelligence team and will be working closely with the Contact Center product team. Unlike most contact center technologies that are only optimized for voice, Zoom Contact Center is the first omnichannel contact center solution that is optimized for video and intentionally supports a robust suite of channels, such as voice and video (with SMS and web chat). This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us!
Responsibilities
Size potential impact of new products or features to impact the Product roadmap.
Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
Analyze usage and behavioral data using statistical techniques and build data models that enable insights and power dashboards.
Work cross-functionally to solve business problems by delivering actionable insights.
Partner closely with Product and Engineering to drive product direction and decision-making.
Qualifications
Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
Minimum of 4+ years (2+ with advanced degree) experience working in an analytical role
Strong communication skills, both written and verbal
Proficient with SQL
Experience with Python and statistical libraries such as scikit-learn, pandas, etc
Experience influencing product strategy through statistical analyses and data story-telling
Previous experience working with a unified communications product is a bonus
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Colorado Salary Range or On Target Earnings:
Minimum:
$97,920.00 USD
Maximum :
$181,170.00 USD
In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value.  Information about Zoom’s benefits is here.  Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.  We also have a location based compensation structure; there may be a different range for candidates in other locations.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
#LI-Remote


Senior Data Scientist Product Intelligence

Work Styles at Zoom
In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.
Senior Data Scientist, Product Intelligence
FULL TIME, US-REMOTE
The Data Team at Zoom brings data closer to the decision. We know that to deliver customer happiness we need to build best in class products. We support this by empowering Product with behavioral insights to help them build better products. While providing these insights, we also need to ensure that we’re meeting the consent, privacy, and regulatory needs of hundreds of millions of users worldwide.
This role will be part of the Product Intelligence team and will be working closely with the Whiteboard product team. Whiteboard is a powerful virtual hub for real-time and asynchronous collaboration, creating more engaging and efficient meeting experiences. Any team, from enterprise to education, can use the Zoom Whiteboard experience to create, annotate, and share ideas from any device whether you’re in a Zoom meeting or not. This role will work closely with Product, Engineering and the Data Engineering team to help ensure the success of the product. The ideal candidate will have experience partnering with Product to define success metrics and define data requirements to ensure we are set up for success when the product or feature launches. The ideal candidate will have experience measuring product impact using causal inference and A/B testing. The individual will play a key role in providing insights around product usage beyond just the “What?” but to answer the “Why?” behind user behavior. Our team values diversity, collaboration, creativity and most importantly - having fun! Come join us!
Responsibilities
Size potential impact of new products or features to impact the Product roadmap.
Partner with Product to define success metrics that quantify the performance of the product and its impact on the business.
Analyze usage and behavioral data and build data models that enable insights and power dashboards.
Apply statistical methods, such as causal inference or A/B testing, to quantify the business impact of new features.
Partner with cross-functional teams to scope, prioritize, lead and drive data science initiatives to completion.
Identify new opportunities and influence strategic decision-making across the organization.
Partner closely with Product and Engineering to drive product direction and decision-making.
Mentor and coach junior team members.
Qualifications
Degree in a quantitative field such as analytics, statistics, economics, computer science, or applied math
Minimum of 6+ years (4+ with advanced degree) experience working in an analytical role
Strong communication skills, both written and verbal; able to translate ambiguous, unstructured business problems into actionable analyses
Advanced SQL ability
Proficient with Python and statistical libraries such as scikit-learn, pandas, etc
Strategic thinker who can tie the micro and macro view together
Experience influencing product strategy through statistical analyses and data story-telling
Previous experience working with a collaboration product is a bonus
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
#LI-REMOTE
Colorado Salary Range or On Target Earnings:
Minimum:
$97,920.00 USD
Maximum :
$181,170.00 USD
In addition to the base salary and/or OTE listed, Zoom has a Total Direct Compensation philosophy that takes into consideration base salary, bonus and equity value.  Information about Zoom’s benefits is here.  Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.  We also have a location based compensation structure; there may be a different range for candidates in other locations.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.
Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.
Explore Zoom:
Hear from our leadership team
Browse Awards and Employee Reviews on Comparably
Visit our Blog
Zoom with us!
Find us on social at the links below and on Instagram
View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.
#LI-Remote


Senior Data Scientist

Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.

The Role

Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care."Our product offers real-time academics, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and the adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.

Your analysis will shape the product roadmap for a new Link product focused on clinical trials. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.

We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1200 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.

You can work remotely anywhere in the Netherlands, but you have to live in the Netherlands and be legally authorized to work there without requiring Veeva’s support for visa or relocation. If you do not meet this condition, but you think you are an exceptional candidate please clarify it in a separate note and we will consider it.

What You'll Do

Develop machine learning models at scale and in AWS cloud to structure and analyze scientific data
Adopt the latest technologies and trends in AI to your platform
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, dense passage retrieval and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks, metrics, and perform qualitative and quantitative evaluation
Collaborate with engineering teams to implement models at terminal scale

Requirements

4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Fluent in Python/Java and experience with bashing script
Strong analytical skills and data curiosity
Good English and strong communication skills
Experience in at least one framework for BigData (e.g. Spark, DASK) and one framework for Deep Learning (e.g. Tensorflow, PyTorch)
Mastery of Machine Learning, including up-to-date knowledge of latest ML innovations and frameworks
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset

Nice to Have

Background in clinical (trial) data
Experience in life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade development Skills
Cloud development, especially AWS
Experience in NLP, NER, deduplication, entity-linking, or graph-processing
Leadership skills and a solid network to help in hiring and growing the team
Experience in containerization, Kubernetes and relevant distributed computing for training and inference
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow

Perks & Benefits

Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund

#RemoteNetherlands

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.


Staff Data Scientist Member Experience

A bit about us:

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.

Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.

A bit about this role:

The Staff Data Scientist, Member Experience will serve as a liaison to our Operational teams to answer important and timely questions about the health of the business; build robust data pipelines that underpin data-driven products and operations; and drive a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency.  You will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.

Healthcare experience, or experience working for a Medicare Advantage plan preferred.  Deep drive to serve members is a MUST.

Responsibilities will include:

Working closely with key business stakeholders to understand the analytical needs of the business and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help Operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve our tools and processes so we can deliver results more quickly and accurately
Communicating results to an audience of mixed technical backgrounds

Required skills and experience:

Ability to work in a fast-paced startup environment
5+ years of individual technical contributor experience
5+ years of healthcare and/or MA plan experience
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis to influence the business

#LI-BC1
#LI-Remote

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.


Principal Data Scientist Marketing

A bit about us:

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.

Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.

A bit about this role:

The Principal Data Scientist, Marketing will serve as a crucial partner to our Marketing teams, using data to answer important questions about how to grow the business; building robust data pipelines that underpin our products and operations; and fostering a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency.  This individual will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.

In this role, you will power the insights that enable the marketing team to intelligently engage with our prospects, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to Marketing, driving key initiatives such as how to optimize our multi-million dollar advertising budget. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as predictive modeling and experimental design.
Healthcare experience or previous experience driving Data Science initiatives for a Marketing team is a PLUS.

Responsibilities will include:

Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds

Required skills and experience:

Ability to work in a fast-paced startup environment
6+ years of individual technical contributor experience
3+ years of working on Data Science initiatives for a Marketing or Growth team
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis; such as predictive modeling and experimental design to influence the business

#LI-BC1
#LI-Remote

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.


Data Scientist

Our Company:
At Cerebral, we’re on a mission to improve access to long-term, high-quality mental health care for all. We believe that everyone everywhere deserves to get the care they need. And how are we doing this? By making care convenient and accessible and tackling the stigma that surrounds mental illness.
Since launching in January 2020, we have gone from a team of 5 to over 3,000 team members across the United States and in the United Kingdom working hand-in-hand to transform access to high-quality mental health care at scale. Our team will not stop building, growing, and iterating until everyone, everywhere can access high-quality mental health care without the high cost, long wait times, and stigma. Simone Biles, world champion gymnast, and mental health advocate joined Cerebral as our Chief Impact Officer to help further our mission.
We are the fastest mental health company ever to achieve unicorn status, having raised over $462 million and achieving a valuation of $4.8 billion in under two years. Cerebral’s investors include SoftBank Venture Fund 2, Silver Lake, Access Industries, Bill Ackman, Chris Burch, WestCap, and Oak HC/FT.
It is just the beginning for Cerebral, and we need your help as we transform access to high-quality mental health care in the United States and beyond.
The Role
As a Data Scientist with Cerebral, you will be responsible for patient analyses, outcome measurement, and other signal development. You’ll lead development of algorithms to improve patient outcomes and experience and support experimentation and evaluation in service of care and business objectives.
How you will contribute:

Become a subject matter expert on our data and its capabilities
Transform real-world data into actionable insights using robust statistical methods and compelling data visualizations in formats accessible to a wide range of end users
Work with a cross-functional team to define and clarify analytic requirements, develop analysis plans, ensure data quality standards, and create publication ready methods and results
Generate ideas for analyses to shape future projects, contributing to a pipeline of opportunities that will help Cerebral achieve its goals

Skills you’ll bring:

Deep expertise working with data and have experience exploring it with a critical and thoughtful eye
Proficient in R/Python (or another programming language and are committed to becoming an expert in R/Python)
Passion for working with data and have experience  it with a critical and thoughtful eye
Excellent at communicating - able to explain key concepts in meetings and in writing to teammates from different functions and experience levels
Comfortable working in an agile development process—and changing the engineering roadmap as business needs change
Maintain startup grit.  Willingness and desire to take on personal responsibility for the business as a whole and “figure it out”, whether it’s in your exact functional lane or not.
Bonus: Hold a Master’s degree with 4 years of industry experience or PhD (or equivalent) in a quantitative discipline such as biostatistics, epidemiology, statistics, economics, or a related discipline

Who we are (our company values):

Results and data-driven - we strive to reach our goals by making data-led decisions and focusing on measurable results

Ownership - we hold ourselves accountable to our goals and deliver on our commitments, which fosters trust within our team

High velocity - we seek to roll out new initiatives, products, and conditions quickly so that we can see real data-driven results and iterate accordingly

Empathy - we expect team members to demonstrate the same level of compassion for one another as we show for our clients

Mission-driven experimentation - we iteratively experiment with new ideas, products, and services to help serve our clients and advance our mission

Deep, hands-on leadership - our leaders believe that no task is beneath them, and stay connected to the details of their business and operations

What we offer:

Mission-driven impact:

Shape the future of the #1 largest and fastest growing online mental health care company in the world
Build a platform that is improving the lives and well-being of hundreds of thousands of people (and counting)
Join a community of high achievers who have a passion for promoting mental health, including our Chief Impact Officer, Simone Biles!

Path to develop & grow:

Bi-annual performance reviews & opportunities for promotions - as Cerebral grows, so should you. We build your goals together and forge a career path that is right for you

Remote-first model: Work virtually from anywhere in the US

Competitive compensation & benefits:

Total compensation includes equity/stock options
Medical, Dental, Vision, Life Insurance, and 401k provided to all employees
Unlimited PTO - we encourage taking the time you need to relax and recharge

Culture & connectivity:

Virtual social events (e.g., monthly happy hours) enable us to build a sense of community and connect on a more personal level
Optional in-person company retreats provide an opportunity to augment team-building and celebrate our successes together

Cerebral is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.


Data Science Manager Engagement

Data Scientist Manager, Engagement at Calm

Remote
Who We Are:
At Calm, we have a simple, albeit BIG mission: to make the world a happier and healthier place. Through our website, blog, and app—filled with meditations, sleep stories, music, movement, and more—we’re redefining what mental care looks like in 2021 and beyond. With over 100 million users worldwide, 100,000 new users daily, and our growing partnerships with major companies, we’re having a positive effect on more and more people each and every day. And while the heart of Calm is digital, we are growing and expanding offline with a variety of products and services to help deliver on our mission of health and happiness, the world over.
What We Do:
We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex.
What You’ll Do:
As the Data Science Manager of the Engagement team you will lead a team of data scientists who are working to increase user engagement. You will do this by providing insights and analysis related to how our members interact with Calm and make their content choices. The output of our work most directly impacts the product and content organizations. This role also has significant executive exposure.

Manage, develop, and motivate a group of data scientists
Be a thought leader and go-to expert for how users engage and retain
Lead and conduct deep-dive analyses to identify needs and priorities of the business
Facilitate data-driven and informed decision making and prioritization
Develop strong cross-functional partnerships across Calm to drive our team's success
Drive outstanding performance both for this team and the broader product org

Who You Are:

5+ years of analytics experience, ideally with digital consumer products
Experience managing data scientists or analysts
BA/BS in quantitative field
Expert-level skills in SQL, R/Python, and statistical methods
Strong relationship management and executive presentation skills


Data Scientist Applied Research Personalization

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

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

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

About the team

• The Applied Research - Personalization team’s goal is to model our users’ behavior by creating rich representations of their complex interactions with our content and delivering measurement and prediction models that drive ML product features. This is accomplished as a team of aligned, talented and collaborative data scientists that work to solve some of the company’s highest profile initiatives. Applied Research - Personalization is a new team and you will have a unique opportunity to shape our mission and initiatives.

About you

• You are excited by the opportunities of working on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, articles, audiobooks, and podcasts and the interaction of our content with millions of users.

You will / Responsibilities / What you will do

• Understand how our users interact with the product to produce data and improve how user interactions create signals for ML models.

• Take full advantage of our scale of data by experimenting with cutting edge techniques in deep learning. For example, use Transformers and other architectures to extract rich user embeddings.

• Increase the effectiveness of personalization for new users by integrating sources of metadata and innovating on modeling techniques.

• Thoughtfully collaborate with other Data Scientists, Machine Learning Engineers, and System Engineers as well as our partners across the company.

You Have / We're looking for / Requirements

• 2+ years of experience in data science, machine learning or related field.

• Bachelor's degree in a quantitative discipline. Master’s or Doctorate degree preferred.

• Interested or experience with ML personalization features and user modeling.

• Intermediate level or greater experience with Python. Experience with SQL and Spark is a plus.

• Experience with deep learning frameworks (such as TensorFlow or PyTorch) and embedding-based deep learning architectures is a plus.

Benefits, Perks, and Wellbeing at Scribd

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

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

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

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

 #LI-Remote


Data Scientist

Data Scientist
About Conjura
Founded in 2018, the Conjura Platform accelerates e-commerce performance for consumer brands.
Conjura customers can connect, action and benchmark their data with one powerful platform. Conjura empowers data-driven decision making with intuitive dashboards and actionable insights for e-commerce businesses.
Being a Data Scientist at Conjura
As our data science team is small we are still defining how we work and how our platform should function. Which is why we are currently looking for data scientists who have substantive experience with cloud technologies, containerisation and the entire Machine Learning lifecycle, including managing productionised workflows.
As a member of the data science team you will work collaboratively to apply the latest approaches and technologies to real commercial problems as well as:
Develop use-cases directly with customers and steer our implementations to drive towards the most valuable outcomes.
Keep up-to-date with the latest developments in research, applications, and technologies. As the discipline evolves quickly, complacency is not an option.
Shape our data science culture and how we work.
Teach and learn from other members of our team. Our backgrounds are diverse and multidisciplinary. Though we have different skills and experiences, we work best as a single team!
Make material contributions to automation capabilities of our in-built Decision Engine platform.
Be a generalist. Contribute to our knowledge base, technical infrastructure, product, and business development.
What you will be working with
Our team works across the whole lifecycle of model development, from exploration and prototyping in Notebooks through to deployment and maintenance in our Decision Engine. As a smart, curious person, you will pick the best tool for the job!
Our data science infrastructure is based in AWS and integrated with Sagemaker.
Our pipelines are built with Python, SQL (via DBT), Pyspark, and productionised in Docker.
Our models are built in multiple frameworks (ScikitLearn, XGBoost, Pytorch, and Tensorflow)
Successful applicants for a data science role will receive a full-time permanent offer, with a competitive salary, equity options, and flexibility to allow working remotely or at home. With our size and fast growth, there’re many opportunities for career progression.
Conjura team values
Curiosity – We NEED to know about our customers’ businesses, what makes the businesses tick and what will make it better. We continuously sharpen our skills and keep up to date with the latest approaches to analytics.
Collaboration – Yes we have degrees and PHDs, and we have done amazing things with data, but when we join Conjura we check our ego at the door. This is because, as individuals, we don’t have all the answers. The excellence of our team is shaped from multiple points of view and backgrounds working collaboratively. At the same time we are equally at home working independently – sometimes we need to take ownership.
Trustworthiness – We are trusted to produce accurate insights from commercially sensitive data sets. We must employ analytical rigor and quantitative reasoning skills.
Nimbleness – We need to flex when our client’s business, customers or market changes!
Clarity – We must simplify complexity and explain value points to time poor, inexpert stakeholders. We have a passion for communicating ideas with data and technology.
To register your interest for this role, please complete the form below.


Data Scientist

Superside is looking for an ambitious and talented Data Scientist to help us build the data driven future of work. Develop powerful insights from our collaboration with top-tier brands like Shopify, Facebook, Amazon, Red Bull and Salesforce, and drive action and outcomes. Innovate and improve our processes and tech platform, and be a core part of defining and building world leading remote human collaboration.
As a Data Scientist at Superside, you are full-stack. You understand the business, commercial and human contexts of the company, you conceptualize solutions, write production-ready code, deploy algorithms and track performance, you generate, extract and prepare data, you create visualizations and triggers, develop models and drive recommendations, decisions and actions. Using tech and process innovation, we pioneer not only remote collaboration between customers, project managers and creatives around the world, but we redefine and shape the roles and jobs of people worldwide.
What you'll do
Work closely with company leadership, founders, and a variety of other roles to explore and develop a deep understanding of our business, our data, and the decision-making processes that can be improved across the organization
Own and prioritize a backlog of initiatives, and manage projects, stakeholders, and timelines
Work full-stack to design, build, deliver and follow up robust and clear insight that drives action
Own all data structures related to Operations, Creative, Talent
Design and build end-to-end structures and visualizations to monitor and analyze collaboration bottlenecks, delays, wait-time, iterations, staffing, team utilization, and more, and drive recommendations and actions to innovate and improve processes, tech platform, and roles and responsibilities
Design and build next-level people performance management insights to push Superside to the forefront of fair and data-driven talent development, management, and growth
Explore building performance prediction models integrating operational insights with talent acquisition and onboarding, as well as many other potential areas
Work closely with our Data Engineer and other Data Scientists to design, build, and maintain scalable data models and pipelines
What you'll need to succeed
BSc or higher within STEM or equivalent experience
Previous experience in analytical roles where data is concerned
Excellent SQL skills
Experience building data processing pipelines (ETL) and BI solutions
Well versed with scripting language for analyses (eg python or R) and version control (Git)
Highly skilled in using multiple data sources, and the ability to simplify and effectively visualize and communicate complex insights
Comfortable with owning project timelines, prioritizing tasks, managing stakeholders, and assessing speed/accuracy tradeoffs
Knowledge of statistical concepts used in exploratory data analysis and a strong understanding of experiment assessment, trend and correlation identification techniques (nice to have: machine learning knowledge and/or experience)
Excellent English verbal and written communication skills, good at presenting ideas and discussing solutions in large groups
Ability to quickly learn operational process concepts to understand the business perspective
Be truth-seeking, enjoy challenging your own hypotheses, with a passionate understanding of biases and how to control for them
Strong ability to make decisions under uncertainty and create structure in chaos
Action driven, appreciation for data-influenced processes, proactive and customer centric
Why join us?
Global community with people across 50+ countries
Flexibility of working from anywhere in the world
Become part of a rapidly growing startup disrupting a massive global industry with a huge market opportunity
A fast-moving, trusting, ego-free and truth-seeking environment
Have a significant impact on the growth and future of the company
Significant future growth opportunity in the role
Competitive salary and potential for future equity in the company
Pioneer the remote and data-driven future of work in a fair, meritocratic and supportive community
Superside is a remote future-of-work startup that delivers great creative at scale, mainly to global US-based brands. We currently deliver strategic design solutions to customers like Facebook, Redbull, Experian, Puma, Amazon, Salesforce, Cisco, LVMH, Twitch, Airbus, L'Oreal, Tiffany & Co. and more. We work together and with our customers through our inhouse design ops platform, enabling seamless and productive remote collaboration across the world. Superside is backed by Y Combinator, Slack Fund, Freestyle Capital and High Alpha Capital. We're a fully distributed team of ex tier one professionals located all around the world, spanning 50+ countries and 19 timezones.
Mission: Create more equal economic opportunities globally
Vision: We find and grow the world’s best creative talent
Check out www.superside.com/career for more info on who we are!
About Superside
We’re an equal opportunity company. All applicants will be considered without attention to ethnicity, appearance, religion, gender identity, sexual orientation, national origin, veteran or disability status.
Apply Now


Senior Data Scientist

The world’s first customer platform helping internet businesses accelerate growth☝
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀

You’ll partner with product teams to help them identify important questions and answer those questions with data
You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research
You’ll build and automate actionable models and dashboards
You’ll craft data stories and share your findings and recommendations across R&D and the broader company
You’ll drive and shape core RAD foundations and help us improve how the RAD org operates

What skills do I need? 📖

4+ years experience working with data to solve problems and drive evidence-based decisions
Excellent SQL skills and good knowledge of statistics
Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
Excellent communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity

Bonus skills & attributes 🙌

Experience with a scientific computing language (such as R or Python)
Experience with BI/Visualization tools like Tableau, Superset and Looker
Experience with data modeling and ETL pipelines
Experience working with product teams

Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)

Competitive salary and equity in a fast-growing start-up
Employer matched pension contribution
Company bonus programme
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.


Data Scientist

Hazy offers an extraordinary opportunity to the right person to make a real contribution as a Data Scientist to a company that is scaling up and working with clients from multiple sectors to offer transformational synthetic data solutions.Your responsibilities will include: Develop product features such as new generative models, new metrics or support for a data type; Collaborate with the engineering team to bring and integrate relevant work into the product; Document and test implemented machine learning models clearly and thoroughly; Implement and reproduce results found in relevant literature in a production environment; and Contribute to the scientific body of literature as part of the Hazy team. The value you will bring to the Hazy team will include: Experience implementing and deploying generative models in production; Deep understanding of Machine Learning concepts;  Advanced Python; Extensive knowledge of the following packages : Numpy, pandas, scikit-learn, scipy, tensorflow, pytorch; and The ability to design visuals to showcase metrics and results. Knowledge of Julia and experience experimenting with privacy concepts such as Differential Privacy would also be welcome.  We are proud to offer a range of benefits that will become even broader after we close our funding round in Q1.  For now, we provide: Competitive salary + equity options Generous holiday allowance Cycle to work scheme Day off on your birthday High-end laptop Remote working policy Social activities - book club, mindfulness and many more! We also offer our investment in you.  This includes a comprehensive onboarding process to get you up to speed as soon as possible, ongoing pastoral care and development of your personal and professional career.  We’ll work closely with you to scope out clear objectives and goals that make sure you hit your marks and keep developing. // Inclusion & DiversityHazy is committed to creating and sustaining an inclusive and diverse working environment in which everyone has an equal opportunity to fulfil their potential. We welcome applications from suitably qualified people from all sections of the community, regardless of their race, sex, gender, disability, religion or belief, sexual orientation or age.


Senior Data Scientist

Data Science at Signifyd
The Data Science team builds production machine learning models that are the core of Signifyd’s product.
We help businesses of all sizes minimize their fraud exposure and grow their sales.  We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they’re solving a hard problem alone.
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads.  The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.

Here you’ll have the opportunity to:

Build production machine learning models that stop fraud rings
Think creatively to engineer new features that identify fraudulent behavior
Devise algorithmic approaches to payments risk management that evolve the process from one that’s human-driven and heavy on gut feel to one that is quantitatively-rigorous and leverages an ecosystem of in-house tools
Work collaboratively with other teams across the company on strategies to tackle entirely new e-commerce verticals, geographical regions, and product offerings

Mentor other team members and help to foster a psychologically-safe environment that allows everyone on the team to leverage their full creativity and grow professionally

Past experience you’ll need:

A degree in computer science or a comparable quantitative field
At least 5 years of post-undergrad work experience
Building production machine learning models (they don’t need to have been related to fraud)
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
A Master's Degree or PhD

Benefits in the USA:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag

#LI-Remote


Senior Data Science Manager

How you’ll have an impact:

Leading a team of Data Scientists and helping them set goals, collaborate, and scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines

Past experience you’ll need:

A degree in computer science or a comparable analytical field
2+ years of experience in people management with experience building teams and growing talent
At least 4 years of post-undergrad work experience required
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line

Experience we love to see:

Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code

#LI-Remote
Benefits in our US offices:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag


Data Scientist

Signifyd F7E134Af 5A3B 40F1 8D0C Af0Af035B24F

The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads. The challenges of working remotely aren't new to us and we have a track record of iterative improvements to our remote culture.
How you’ll have an impact:

Researching real-time emerging fraud patterns with our Risk Intelligence team
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Communicating complex ideas effectively to a variety of audiences
Building production machine learning models that identify fraud

Writing production and offline analytical code in Python

Working with distributed data pipelines
Collaborating with engineering teams to continuously strengthen our machine learning pipeline

Past experience you’ll need:

A degree in computer science or a comparable analytical field
At least 2-3 years of post-undergrad work experience required
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD

#LI-Remote
Benefits in the USA:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag