Data Scientist Spaces Paper

Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Admin team works magic behind the scenes to keep Dropbox teams around the world running smoothly. We support leaders across the company and help teams thrive by prioritizing and anticipating needs even before they arise. We shine under pressure and create order from chaos.
Role Description
We're looking for a Senior Data Scientist to act as a lead for the AMP organization. AMP’s mission is to take bold, long-term risks to discover tools that help people make meaningful progress against their priorities. These tools will augment humanity’s important work, using CPU cycles to preserve human cycles. The tools will create(rather than disrupt) states of focus and flow, unlocking new levels of cognitive productivity.
This person will work across the organization, driving key product insights, owning product analytics, and helping solve important ML problems in performing cognitive and work tasks, search relevance, and lifecycle notifications for both established and 0→1 products. They will help the organization quickly experiment and learn from the work we are doing.
They will deep dive on unique customer trends through data analytics and and ideal candidate should have a robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics, and business operations for a SaaS company.
Responsibility
Develop a deep understanding of the product; define the key metrics that will guide the team in the early phases of identifying product market fit.Develop a 360 degree perspective on the data needs for the products from logging, to dashboarding, to creating recommendations to drive change in production.Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterateCreate propensity models to enable targeting of users within the existing Dropbox user base.Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsDigest literature and assess state-of-art ML capabilities; and evaluate application of models towards use cases (e.g. NLP)Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field4+ years experience using analytics/data science to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopFluency in SQL and statistical programming (e.g., R or python)Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesGood understanding of basic ML techniques just as regressions, tree based models, clustering techniques and SVMsStrong verbal and written communication skills
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).


Senior Data Scientist Startup Creation

As our Senior Data Scientist for our Startup Creation team, you will set up and configure the data infrastructure for our startups, and work with the startup founding team to define data driven KPIs, and implement automated statistical analyses of customer behavior.  Your goal is to make all of the companies that we launch data-driven from day one.
In this role, you will function as an in-house implementation team for the companies that Redesign Health launches (internally referred to as OpCos). We provide data strategy, data pipeline, data analytics and forecasting services to newly formed companies in a repeatable and scalable manner. Each engagement with an OpCo will interact directly with the founding team, and our team strives to both listen to their needs as operators, and help provide guidance on how to best use data in their decision making process. To execute on these projects you will work closely with the data engineering, engineering, marketing and strategy groups at Redesign Health.
You will report to and work with the Director of Data Science. The position can be fully remote within the United States or based out of our New York City headquarters.
What you'll do:

Engage with key stakeholders

Work with venture chairs, CEOs, and Chief Product OfficersEliciting and synthesizing key requirements from OpCo founders.Engaging in a handoff that allows the OpCos to maintain and expand on the system provided

Implement relevant aspects of our standard data stack

Integrate data from a variety of 3rd party data sourcesProvide data models for a single source of truth about all facets of a company and productSet up data transformations to provide reliable, aggregated data to dashboards

Provide analyses tailored to each operating company

Rapidly learn about a domain within healthcare such as oncology, veterinary medicine, actuarial science, just to name a few.
Determine how these domain specific needs fit into common statistical analyses of behavior.
Implement robust statistical analyses as part of our data pipeline.
Provide automated actionable insights back to the OpCos in order to allow them to make critical business decisions in a data-driven manner.

What you'll need:

Background

4-7 years of data engineering experience: SQL, ETL pipelines, metadata stores
5+ years of data analytics experience: statistical analysis, data driven decision support, data-related SWOT analysis
3+ years of experience working at a consulting firm or client services group

Technical Skills

Ability to code in Python and SQL
Data Engineering: experience with ETL and integrating some sort of SaaS service (NetSuite, MixPanel, Iterable, etc.)
Strong experience setting up cloud architecture
Strong experience handling and understanding data sets
Experience with data-driven decision making; ability to understand which data is relevant to a decision, and how to incorporate the presence or lack of data into a decision
Ability to define metrics and KPIs (financial KPIs, user behavior); ability to calculate churn, or LTV, things like CAC

Ability to configure dashboards and data visualization design

Behavioral Skills

Drives Results. Has a strong bottom-line orientation. Persists in accomplishing objectives despite obstacles and setbacks. Has a track record of exceeding goals successfully. Pushes self and helps others achieve results. Consistently achieving results, even under tough circumstances

Nimble Learning. Learns quickly when facing new situations. Experiments to find new solutions. Takes on the challenge of unfamiliar tasks. Extracts lessons learned from failures and mistakes. Learning through experimentation when tackling new problems, using both successes and failures as learning fodder

You will work out of one of the following locations:

Remote: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming

#LI-Remote


Data Scientist Opco Creation

As our Data Scientist for our Startup Creation team, you will set up and configure the data infrastructure for our startups, and work with the startup founding team to define data driven KPIs, and implement automated statistical analyses of customer behavior.  Your goal is to make all of the companies that we launch data-driven from day one.
In this role, you will function as an in-house implementation team for the companies that Redesign Health launches (internally referred to as OpCos). We provide data strategy, data pipeline, data analytics and forecasting services to newly formed companies in a repeatable and scalable manner. Each engagement with an OpCo will interact directly with the founding team, and our team strives to both listen to their needs as operators, and help provide guidance on how to best use data in their decision making process. To execute on these projects you will work closely with the data engineering, engineering, marketing and strategy groups at Redesign Health.
You will report to and work with the Director of Data Science. The position can be fully remote within the United States or based out of our New York City headquarters.
What you'll do:

Engage with key stakeholders

Work with venture chairs, CEOs, and Chief Product OfficersEliciting and synthesizing key requirements from OpCo founders.Engaging in a handoff that allows the OpCos to maintain and expand on the system provided

Implement relevant aspects of our standard data stack

Integrate data from a variety of 3rd party data sourcesProvide data models for a single source of truth about all facets of a company and productSet up data transformations to provide reliable, aggregated data to dashboards

Provide analyses tailored to each operating company

Rapidly learn about a domain within healthcare such as oncology, veterinary medicine, actuarial science, just to name a few.
Determine how these domain specific needs fit into common statistical analyses of behavior.
Implement robust statistical analyses as part of our data pipeline.
Provide automated actionable insights back to the OpCos in order to allow them to make critical business decisions in a data-driven manner.

What you'll need:

Background

2-4 years of data engineering experience: SQL, ETL pipelines, metadata stores
2-4 years of data analytics experience: statistical analysis, data driven decision support, data-related SWOT analysis
1+ years of experience working at a consulting firm or client services group

Technical Skills

Ability to code in Python and SQL
Data Engineering: experience with ETL and integrating some sort of SaaS service (NetSuite, MixPanel, Iterable, etc.)
Strong experience setting up cloud architecture
Strong experience handling and understanding data sets
Experience with data-driven decision making; ability to understand which data is relevant to a decision, and how to incorporate the presence or lack of data into a decision
Ability to define metrics and KPIs (financial KPIs, user behavior); ability to calculate churn, or LTV, things like CAC

Ability to configure dashboards and data visualization design

Behavioral Skills

Drives Results. Has a strong bottom-line orientation. Persists in accomplishing objectives despite obstacles and setbacks. Has a track record of exceeding goals successfully. Pushes self and helps others achieve results. Consistently achieving results, even under tough circumstances

Nimble Learning. Learns quickly when facing new situations. Experiments to find new solutions. Takes on the challenge of unfamiliar tasks. Extracts lessons learned from failures and mistakes. Learning through experimentation when tackling new problems, using both successes and failures as learning fodder

You will work out of one of the following locations:

Remote: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming


Machine Learning Scientist

As our Machine Learning Scientist, you will be responsible for helping design, implement, prototype, train and evaluate custom ML models used by Redesign Health to help redesign the healthcare industry more optimally. This role is unique in terms of career growth as it combines large-scale ML modeling with high potential impact in an enormous yet inefficient industry. You will be performing cutting-edge research pushing the limits of large language models in order to achieve real-world healthcare impact.
In this role, you will focus more on new model creation and research versus deployment at scale or dataset creation. Some dataset tailoring to tasks at hand is expected. Most ML models will be trained on web-scale data, so knowledge of large-scale ML is a must.
Our machine learning models cover a myriad of NLP tasks that power the insights and investment strategies core to Redesign Health. These include, but are not limited to, text summarization, topic modeling, entity extraction and text classification. They also cover time series analysis and prediction and prediction on graph-structured datasets. Experience in either is very much desired though not essential.
You will report to and work with the VP of Machine Learning. The position can be fully remote within the United States or based out of our New York City headquarters.
What you'll do:

Experiment with large-scale NLP models, as required by product-features

Perform research deep dives into approaches used to solve particular NLP tasks that are currently needed. These include both deep learning and more classical approaches
Communicate the results of the deep dive with the broader team
Design and prototype the most promising models to see if they can be a game changer for the product feature du jour. Help navigate prototyping strategy with the broader team – e.g. in some cases we can leverage pre-training

Experiment with large-scale time-series analysis, as required by product-features

Perform research deep dives into approaches used to solve particular time series prediction tasks that are currently needed. These include both deep learning and more classical approaches
Communicate the results of the deep dive with the broader team
Design and prototype the most promising models to see if they can be a game changer for the product feature du jour. Help navigate prototyping strategy with the broader team

Help design products which are optimally adaptive to user needs out-of-the-box

A big part of ensuring product fit is to calibrate the deployed models to the specific needs of the user. Help spearhead and research how we can optimally calibrate existing models so that they evolve to become more and more useful with more usage
Be an integral part of the discussion of how we measure success for deployed ML models
Help communicate and manage expectations for models currently used by our users

What you'll need:

Background

2-4 years of Machine Learning experience
2-4 years of Python experience
Knowledge of one popular deep learning library such as PyTorch, Tensorflow, Sklearn, Pandas, Keras, or Huggingface
Must have demonstrable outputs which are publicly available: e.g. an accepted ML paper, or a new product/feature that uses ML that you helped build
Experience in large-scale deep learning; model design, optimization (e.g. learning rate scheduling), hyperparameter tuning etc.
B.S. in Computer Science; PhD in Machine Learning is a plus

Technical Skills

Knowledge of basic probability, linear algebra, calculus and optimization
Ability to code advanced data structures in Python
Ability to build a large-language model from scratch in Pytorch or Tensorflow
Some experience with more classical NLP techniques such as LDA, PoS-tagging, anaphora resolution

Behavioral Skills

Collaborates. Works cooperatively with others across the organization to achieve shared objectives. Represents own interests while being fair to others and their areas. Partners with others to get work done. Credits others for their contributions and accomplishments. Gains trust and support of others. Building partnerships and collaborating with others to meet shared objectives.

Communicates Effectively. Is effective in a variety of communication settings: one-on-one, small and large groups, or among diverse styles and position levels. Attentively listens to others. Adjusts to fit the audience and the message. Provides timely and helpful information to others across the organization. Encourages the open expression of diverse ideas and opinions. Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Action Oriented. Readily takes action on challenges, without unnecessary planning. Identifies and seizes new opportunities. Displays a can-do attitude in good and bad times. Steps up to handle tough issues. Taking on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.


Research Scientist All Levels

About the team:
Research Science is at the core of Convoy’s platforms. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. We also forecast business metrics, evaluate the causal impact of business decisions, design statistical and machine learning models to optimize our product, and leverage our data to generate insights for our customers. The breadth of the problems space is huge, spanning machine learning, optimization, causal inference, experimental design, econometrics, and prediction domains. We have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
You will:

Leverage machine learning and optimization to automate and improve decision making in our core problem areas
Develop and deploy new solutions and improving existing machine learning models (including deep learning, reinforcement learning and tree based methods)
Design and implement scalable automated decisioning systems
Lead research initiatives to drive actionable learnings and ultimately impact for Convoy
Work on systems that automate our dynamic freight marketplace

We’re looking for someone who has:

Minimum of 2-7+ years of experience developing machine learning solutions
PhD or MS in Computer Science, Statistics, Applied Math/OR, Engineering, or related quantitative field.
Experience using Python and SQL for deploying and maintaining models in production
Experience with machine learning and deep learning toolkits and frameworks
Ability to frame business problems as automated decision solutions
Intelligent but practical; you want to get things done and love simplicity
You’re humble, effective, and biased toward action and learning

Nice to haves:

Experience with two-sided marketplaces (platforms), financial markets and economic theory or driving operational or product improvements through automated decision making
Experience developing mature models and doing the tough research work to unlock value
Experience with Big Data Tools


Data Scientist All Levels

About the team: The Data Science team is at the core of Convoy’s business. We build the models that power freight pricing, shipment offer relevance, auction bidding strategy, and other core services. The breadth of the problems space is huge, spanning machine learning, optimization, metric definition, econometrics, and prediction domains. And we have only begun to dig into the difficult and diverse problems in our two-sided marketplace.
About you: At Convoy you will be expected to work autonomously and own your domain end-to-end. You will collaborate with Research Scientists, Product Managers, and Engineers across the Product organization and interact with stakeholders across the company. You will be responsible for defining core business logic in our data warehouse, developing insights to drive product decisions, and building data science models.
You will: #LI-REMOTE

Measure the impact of product launches using experimental and quasi-experimental methods (A/B testing, causal inference, statistical modeling)
Discover new opportunities and shape product/business strategies through data-centric approaches
Maintain, monitor, and debug production models/decisions systems
Develop metrics to measure system performance and business impact

We’re looking for someone who has:

Minimum of 2-7+ years of industry experience in Data Science
Strong programming skills (Python and R preferred). Proficient with statistical data analysis and modeling
Ability to break down high level business problems into concrete analytical solutions
Strong written and verbal communication and keen attention to detail

Nice to Haves:

Advanced degree in economics, statistics, computer science, operations research, engineering, a natural science or equivalent quantitative subject
Experience in SQL and ETL pipeline
Strong examples of your outputs influencing product or engineering road-maps


Senior Data Scientist Product

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
We are looking for a senior analytics professional to help drive the success of product efforts at Etsy by providing concrete insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization].
As the Senior Data Scientist you will be responsible for:
Applying advanced analytical techniques to gauge the impact of initiatives such as expanding our shipping offerings internationally to support a marketplace that connects buyers and sellers globally
Conducting online experiments to help improve buyer fulfillment experiences, while ensuring seller satisfaction
Identify factors that contribute to providing realistic shipping time estimates to our buyers
Do you find joy in guiding strategy with data-driven insights, telling the story of how we improve the experience for our users, to teams, to senior management, and to the community.? If so, this could be the perfect match.
What’s this team like at Etsy?
The role is a part of the Product Analytics team which is responsible for helping drive the success of product efforts at Etsy.We partner with cross-functional peers through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!
This is a high visibility position supporting Etsy’s Core Fulfillment group.This is a group that helps sellers manage and fulfill their orders, while also setting buyer expectations around fulfillment so they can make well-informed purchase decisions.
What does the day-to-day look like?
Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation.Work closely and collaboratively with senior management within Fulfillment to craft a well defined analytics roadmap.Define metrics to ensure robust measurement of product performance.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.Successful track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and data-driven decisions. Experience working in a two sided marketplaces environment and/or in fulfillment/logistics preferred.Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with the Hadoop ecosystem and Looker, Tableau, or other data visualization software.Experience with crafting and analyzing online experiments with a good understanding of A/B testing.Ability to conduct sophisticated analyses and regularly use advanced statistical methods (ex. Propensity Score Matching, Causal Impact, Regression Models) in your work.Comfortable with distilling complex insights into compelling narratives for senior executives, both verbally and visually.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover
letter and resume telling us why you'd be right for the position. As you've
hopefully seen already, Etsy is a place that values individuality and
variety. We don't want you to be like everyone else -- we want you to be
like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes
us a more relevant, more competitive, and more resilient company. We
encourage people from all backgrounds, ages, abilities, and experiences to
apply. Etsy is an equal opportunity employer. We do not discriminate on the
basis of race, color, ancestry, religion, national origin, sexual
orientation, age, citizenship, marital or family status, disability,
gender, gender identity or expression, pregnancy or caregiver status,
veteran status, or any other legally protected status. We will ensure that
individuals with disabilities are provided reasonable accommodations to
participate in the job application and interview process, to perform
essential job functions, and to receive other benefits and privileges of
employment. While Etsy supports visa sponsorship, sponsorship opportunities
may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.


Senior Data Scientist Member Services

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
We are looking for an experienced analytics professional to support the product team responsible for building solutions to deliver effortless, human support to buyers and sellers. Your team’s work ensures Etsy provides world-class customer support and a safe, trusted marketplace for the millions of buyers and sellers in the Etsy community.
As a Senior Data Scientist working in the Member Services area you will work to deliver clear insights, and provide access to metrics, data, and tools needed for decision-making and optimization at all levels of the organization. Are you passionate about using sophisticated behavioral analysis to drive product development and strategy in customer support? If so, this could be a great match.
This is a full-time position reporting to the Director, Analytics. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our support product experience, identify areas for improvement, and drive decision-making.Identify impactful metrics to understand the performance of our support products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.Continually evaluate and refine your technical toolkit; teach what you learn to the team.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years of proven success as a data analyst focused on supporting product teams with data access, reporting, and insights.Successful track record of distilling highly complex problems into narratives that are concise, action focused, and memorable.High proficiency with advanced analytical techniques and SQL.Ability to communicate insights to senior executives verbally, visually, and in writing.A trust in and commitment to Etsy’s vision, mission and values.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.


Senior Applied Scientist Ii Knowledge Base

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
The Knowledge Base team builds a deeper understanding of our buyers, sellers, listings and entities in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers. We produce models, signals, attributes, graphs and structured data that are being consumed by our Machine Learning, Analytics, Engineering and Product partners.
We are looking for an experienced machine learning engineer who can help build Etsy’s next generation capabilities for marketplace understanding.
This is a full-time position reporting to the Senior Manager, Data Science. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Build and contribute at all levels of Etsy’s machine learning and knowledge base stack, ranging from application interfaces to the serving layerWork closely with applied scientists to scale ML solutions across knowledge base, e.g. NLP, deep learning, graph based learning and structured dataWork closely and collaboratively with various engineering teams participating in design, prioritization, and implementationEnable building rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplaceOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
You understand that being an effective engineer is about communicating with people as much as it is about writing code.You are willing to work with and improve code you did not originally write.You can tackle unconstrained problems and know when to seek help.You are flexible with languages and tools and are willing to learn whatever is necessary to get the job done.You have experience with object-oriented programming languages: Python, Scala, etc.You have experience with machine learning frameworks (like PySpark, Scalding, etc.).You have familiarity with machine learning and deep learning solutions across the entire machine learning stack, from data collection to evaluation.You have familiarity with a few of the following: writing and scheduling ETL pipelines, writing SQL queries for exploration and analysis, tuning mapreduce jobs and cluster resources, building and monitoring cloud services, stream processing systems like Kafka Streams, Spark, or Dataflow.You have strong verbal and written communication skills.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.


Senior Applied Scientist I Recommendations Personalization

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
We are looking for an experienced Applied Machine Learning Scientist to join our Recommendations and Personalization organization in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.
As an Applied Scientist, you will work closely with Software Engineers to build custom machine-learning models in the domain application of Recommendations, Computer Vision, and Knowledge Base (Structured data). We are looking for individuals who are product & technology driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Natural Language Processing, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller search experience!
This is a full-time position reporting to the Engineering Manager.  For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Use ML to build rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplaceBuild user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyersUse representation learning to capture different kinds of relationships between Etsy’s inventory based on categorical, stylistic, or thematic similarityDevelop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized ranking, revenue optimization, seller fairness, and seasonalityWork closely with software engineers, data scientists, product managers, and designersOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
Successful track record of applying machine learning techniques in addressing real-world problemsExperience with / working in one of the following fields: reinforcement learning, deep learning, or computer visionShown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready codeAbility to write and manipulate data at a large scale, in distributed environments
Preferred requirements:
An M.S. or Ph.D. degree in Computer Science or related engineering fields, or 3+ years of practical machine learning experienceExperience using Google Cloud PlatformExperience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.


Data Science Manager

Company Description
Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.
Job Description
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using dataProactively identify and champion projects that solve complex problems across multiple domainsApply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our businessDesign and implement end-to-end data pipelines: work closely with stakeholders to build  models, tables or schemas that support business processesEmpower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teamsExperience building and managing high performance data science teamsExperience delivering business impact through analysis and data productsExperience building data pipelines and driving ETL design decisionsTechnical leadership and management experience (you enjoy doing both).  You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your teamExperience creating data product strategies, shipping data products, iterating after launch, and trying againExtensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentalsStrong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcomeExperience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
Additional Information
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Staff Lead Data Scientist

Company Description
Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.
Job Description
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problemsYou have well built technical experience that inspires individual contributors  creativity and innovation. You have experience with product leadership and technical decision making.You have been working closely with various levels of business stakeholders, from c-suite and down.You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.Experience creating data product strategies, data products, iterating after launch, and trying again.Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.Experience with statistical methods like regression, GLMs or experiment design and analysis.Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
Additional Information
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Senior Data Scientist Shop

Company Description
Shopify and Shop are now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
Shopify has focused the last decade on solving complex problems for entrepreneurs by making commerce seamless and accessible. Now, we want to do the same for customers through Shop.
Shop is on a mission to change how we shop. From the fastest checkout experience in Shop Pay to all-in-one order tracking and easy ways to find and shop local brands in app, Shop is making shopping better one step at a time for both shoppers and the merchants they buy from. Having launched less than a year ago, Shop is already one of the top 5 apps in North America and we're just getting started.
Job Description
We're looking for a Senior Data Scientist to join our team as we turn Shop into one of the most beloved products and brands in the world. We want shoppers to be able to develop meaningful connections with the brands they love, and we believe that Shop is the answer to helping foster those relationships with the powerhouse of Shopify merchants we love and support.
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domainsPartner closely with product, engineering and other business leaders to influence product and program decisions with dataApply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our businessDesign and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processesBuild actionable KPIs, production-quality dashboards, informative deep dives, and scalable data productsInfluence leadership to drive more data-informed decisionsDefine and advance best practices within data science and product teams
Qualifications
You will need to have:
4-6 years of commercial experience as a Data Scientist solving high impact business problemsExtensive experience with Python and software engineering fundamentalsExperience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholdersCuriosity about the problem domain and an analytical approachStrong sense of ownership and growth mindset
It would be nice if you have:
Deep understanding of advanced SQL techniquesExpertise with statistical techniques and their applications in businessMasterful data storytelling and strategic thinkingDeep understanding of dimensional modelling and scaling ETL pipelinesExperience launching productionized machine learning models at scaleExtensive domain experience in e-commerce, marketing or SaaS
Additional Information
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort.  We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Senior Data Scientist

Company Description
Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.
At Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with millions of merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.
Job Description
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domainsPartner closely with product, engineering and other business leaders to influence product and program decisions with dataApply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our businessDesign and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processesBuild actionable KPIs, production-quality dashboards, informative deep dives, and scalable data productsInfluence leadership to drive more data-informed decisionsDefine and advance best practices within data science and product teams
Qualifications
4-6 years of commercial experience as a Data Scientist solving high impact business problemsExtensive experience with Python and software engineering fundamentalsExperience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholdersCuriosity about the problem domain and an analytical approachStrong sense of ownership and growth mindset
Experience with one or more:
Deep understanding of advanced SQL techniquesExpertise with statistical techniques and their applications in businessMasterful data storytelling and strategic thinkingDeep understanding of dimensional modelling and scaling ETL pipelinesExperience launching productionized machine learning models at scaleExtensive domain experience in e-commerce, marketing or SaaS
Additional Information
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.


Senior Data Scientist Product Analytics

You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own.
VSCO is looking for a Senior Data Scientist to take our data practice to the next level. You will work with our Director of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion.

The day-to-day

Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations
Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team
Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis
Build scalable reporting and visualizations to help teams measure product and business performance
Help grow the data science team

Qualifications

Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
4+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company
Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python
Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce)
Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis
Expert in communication, with a consistent track record of partnering across various teams and disciplines

Nice to have

Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark
Experience working with subscription-based mobile applications
A deep appreciation for photography and the visual arts

About VSCO
VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.
Job Perks
A virtual first workplace with quarterly company-wide travel events to connect and play. Equity, health, vision, dental insurance for families, flexible vacation policy, Creative Fridays, VSCO Create weeks (our version of hack week), and so much more. Flexibility is the goal.

Why VSCO?
Creative Freedom
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
The Working Life
At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.
It Won’t Be Boring
Try new things, push beyond what is known, and explore what might be possible. We celebrate an environment that fights stagnation and challenges the status quo.
Interested in this position?
Tell us why you want to work at VSCO and what we should know about you.
VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.

#LI-Remote


Data Scientist Product Analytics

You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own.
VSCO is looking for a Data Scientist to take our data practice to the next level. You will work with our Head of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion.

The day-to-day

Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations
Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team
Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis
Build scalable reporting and visualizations to help teams measure product and business performance
Help grow the data science team

Qualifications

Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
2+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company
Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python
Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce)
Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis
Expert in communication, with a consistent track record of partnering across various teams and disciplines

Nice to have

Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark
Experience working with subscription-based mobile applications
A deep appreciation for photography and the visual arts

About VSCO
VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and to share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.
Job Perks
A virtual first workplace with quarterly company-wide travel events to connect and play. Equity, health, vision, dental insurance for families, flexible vacation policy, Creative Fridays, VSCO Create weeks (our version of hack week), and so much more. Flexibility is the goal.

Why VSCO?
Creative Freedom
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
The Working Life
At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.
It Won’t Be Boring
Try new things. Think outside the box. We celebrate an environment that fights stagnation and challenges the status quo.
Interested in this position?
Tell us why you want to work at VSCO and what we should know about you.
VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.

#LI-Remote


Senior Data Scientist

Role Summary:
Data Scientists at Sensor Tower are hybrid data scientists and software engineers. You would take data all the way from doing initial analysis to building data pipelines to final model implementation and monitoring. Data Scientists take full ownership of the back-end of the products they’re working on.

We are looking for a hands-on thinker to help harvest new insights from our constantly growing foundation of quantitative information collected from the mobile app ecosystem.

We are a remote first company and at this time are only able to hire folks who reside in the following states: California, Colorado, Florida, Iowa, Massachusetts, New Jersey, New Mexico, New York, Oregon, Texas and Washington.

What you will be focusing on

Prototype machine learning models in Python or Ruby
Work with MongoDB and analyze query performance to ensure calculation efficiency
Write tests for the implementation of machine learning models
Collaborate with back-end engineers to understand the raw data being collected
Collaborate with front-end engineers to create data visualizations for both external and internal customers
Conduct ad-hoc data analysis based on requests from the Sales, CSM or Contents team
Present results of various data analysis

Experience which will be beneficial

Master’s degree or above in mathematics, statistics, or computer science
3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence
Ability to write code that is ready for production (Python and Ruby preferred)
Experience with adjusting data for bias
Substantial experience with databases, querying data, and data structure manipulation
Ability to communicate effectively with technical developers and non-technical marketing business partners
Ability to produce rough timelines for deliveries plus solid understanding of steps necessary to complete a project
Ability to come up with a rough project structure from scratch
Ability to critically analyse given data, ask probing questions, and perform own research
Substantial knowledge of statistical modeling techniques
Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets

About Sensor Tower

Sensor Tower is a high-growth SaaS company that provides accurate, comprehensive, and customizable mobile market economy analytics to app developers, game developers, industry analysts and investors. Founded in 2013, Sensor Tower has grown from a $1M seed investment to being profitable and in 2020 we received a $42M growth investment from Riverwood Capital.

Why Sensor Tower?

Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!

Our benefits include:
 - Flexible time off so employees can shape their time away from work.
 - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
 - Monthly internet stipend and a one-time $500 home office stipend.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.

#LI-Remote


Data Scientist Ads Sales

[As of June 2020, Quora has become a "remote-first" company.  This position can be performed remotely from anywhere in the world, regardless of any location that might be specified above.]
About Quora:
The vast majority of human knowledge is still not on the internet. Most of it is trapped in the form of experience in people's heads, or buried in books and papers that only experts can access. More than a billion people use the internet, yet only a tiny fraction contribute their knowledge to it. We want to democratize access to knowledge of all kinds — from politics to painting, cooking to coding, etymology to experiences — so if someone out there knows something, anyone else can learn it. Our mission is to share and grow the world's knowledge, and we're building a world-class team to help us achieve this mission.
About the Team:
Unsurprisingly, then, the Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora's outsized commitment to data is visible in everything we do, from our rigor-driven experimentation processes to the backgrounds of our leaders (including many Product Managers and the Head of Product being former full-time data scientists). With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora's strong data team, you'll both benefit from and work to advance our culture of rational decision making.
About the Role:
As a data scientist in ads, you'll work closely with sales leadership, product managers, and engineers to devise appropriate measurements and metrics, build visualizations, design randomized controlled experiments, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. In this role, you will deliver data-driven insights to guide our business strategy and extract untapped value in our platform by developing a deep understanding of our advertisers and users. Quora has a wide range of rich data, giving you ample room for exploration and creativity. For more about our work, see Quora's Data blog at https://data.quora.com/.
Responsibilities:

Extract actionable insights from broad, open-ended questions to influence sales and product strategy and drive roadmap decisions
Analyze data to understand the root causes of metric movements and uncover growth opportunities
Design and evaluate A/B tests to make informed recommendations on product changes
Develop metrics and create dashboards to orient the direction of business development and track the success of the business
Communicate insights and recommendations to key partners
Improve the work of other data scientists through mentorship, tool development, and by bringing good industry practices to the team

Minimum Qualifications:

Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9am-3pm Pacific Time).  Learn why here
B.S., M.S., or Ph.D. in a quantitative field
2+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Proficiency in using SQL and procedural programming languages (e.g. Python, R) to manipulate and analyze data
Familiarity with theoretical foundations of statistical techniques (e.g. hypothesis testing, regression)
Demonstrated ability to exercise judgment and combine quantitative skills with intuition to translate numbers into insights
Demonstrated ability to clearly explain data results to cross-functional teams

Preferred Qualifications:

4+ years work experience in sales analytics, product analytics, or data science at a consumer tech company (e.g. open-ended analyses, metric development, A/B testing)
Experience evangelizing best practices and process improvements on your team
Experience working with large data sets and distributed computing tools (e.g. Presto, Redshift)
Experience pushing code and navigating a complex codebase
Active Quora user with curiosity about the product

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act (CCPA) disclosure
#li-remote


Senior Data Scientist Analytics

Role:

As a Data Scientist, you will partner closely with a cross-disciplinary group of staff, including a mix of engineering, product, data, coaching, and clinical staff, to collect, analyze, and share evidence that will inform critical business decisions and organizational storytelling. Through this work, you’ll help to create a culture of evidence-based decision-making that will increase our organization’s impact on our mission of supporting people in crisis.
Responsibilities:

Own end to end data pipelines, from data collection to presentation of metrics.
Identify gaps in the product and operational processes, build analytical models to find insights and help drive decisions across the org.
Develop in-depth analysis to answer strategic business questions.
Define best practices and new processes to collect and analyze data.
Communicate and share data in a digestible way with the rest of our organization.
Establish effective partnerships with key stakeholders including Product Managers, Engineers, Designers and Operation Managers.
Be responsible for evangelizing a data driven culture across the board.
Spread knowledge and provide mentorship.
Consider ethics, equity, security, privacy, and confidentiality, in all work.

Minimum Qualifications:

+6 years of experience in the Analytics and Data Science space.
Proficiency in SQL and Python.
Experience using business intelligence tools (e.g. Sisense, PowerBI, etc.)
Experience with machine learning and operations research.
Excellent attention to detail and highly organized.
Advanced communication and storytelling experience that influences all organizational levels and drives business decisions.
Exhibit grit, high integrity, a team mindset, and an affinity for continuous learning.
Enjoy wrangling real-world complexity into deceivingly simple solutions.
Thrive in a collaborative, diverse environment.

Preferred Qualifications:

Knowledge of NLP techniques to extract insights from text.
Experience building, scheduling and maintaining data pipelines in Scala or PySpark.
Ability to write clean and modular code and work with version control tools.
Ability to create project plans to identify tasks, milestones, and deliverables.


Senior Data Scientist

Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we‚Äôve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 90 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can‚Äôt find anywhere else. ¬†Our brand banner includes: Wattpad, W Ventures, Wattpad WEBTOON Studios, Wattpad Books and Wattpad Brand Partnerships. We‚Äôre proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!

At Wattpad, we have a massive scale and reach across our global users; this is what makes us unique. It‚Äôs been an exciting time of growth, change and development for Wattpad. Working at Wattpad, you will have access to large and unique data sources. In addition to a massive corpus of stories, we work with engagement data such as comments, votes (i.e., likes), and conversations between readers and creators. These conversations and engagements have driven the popularity of hit fiction titles such as 'After', 'The Kissing Booth', 'I am a Gay Wizard', and many others.¬†

Data Science (DS) Team
The Data Science (DS) team closely partners with business, product and technical stakeholders. We develop ML models for new data products which we then serve in collaboration with other teams in the Data Org. We also conduct deep-dive analyses, product experimentation, hypotheses testing to generate data insights and make recommendations to our stakeholders. Come join us to build the next iteration of our data and ML products!

What you'll do:

Work closely with business and product teams to perform analyses, conduct investigative research and turn data into actionable insights and recommendations¬†
Build queries, metrics and conduct in-depth analysis to understand content, user engagement and behaviour
Develop new ML models and create prototype implementations focusing on applications to various challenging business problems
Partner with product on experiment design and analysis, hypothesis development and success metrics
Prepare and integrate large, varied datasets and also maintain them for analytics and ML use cases
Uphold high data science standards and best practices

Do you have most of the following? If so, apply!

You have a passion for solving business problems through data
You have a diverse set of tools in your Data Science toolbox - Statistical Modeling, Machine Learning, Product experimentation, Software engineering to name a few
3+ years experience working with business and product stakeholders in the capacity of a data partner
Experience in applied machine learning or quantitative role with knowledge in statistical machine learning and deep learning techniques
Comfort working with complex, high dimensional data
Fluency with Python or R
Advanced knowledge of SQL
Development experience involving data pipelines and/or large-scale data processing
You have a systematic approach to project planning and dealing with ambiguity
You are able to articulate the strengths and weaknesses of solutions and to reason about the compromises required for systems at scale

What we offer:

Competitive salary
Career development; we believe in mentorship and investing in your learning, supporting you to achieve your goals
Health benefits, fully covered by us!
RRSP Contributions (Canada), 401K Contributions (USA)
Generous vacation and Parental Leave Top-up
Monthly home office allowance, choice of hardware, flexible hours, and remote work options
Corporate discount for gym membership for you and your family
Summer Fridays with afternoons off!
And a whole lot more!

Wattpad is conducting all interviews in a distributed manner using applicable third party software where needed and using visual interface tools such as Google Hangouts and Zoom.

About Wattpad

Who are we?¬†Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.

What does that mean?¬†We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.

What are we obsessed with?¬†Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.

How do we work?¬†Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

Wattpad is a remote friendly company and encourages remote candidates to apply as long as they are located and authorized to work in either the US or Canada (excluding Quebec) as a precondition of employment. We are not able to sponsor applicants for work permits.

If you happen to live near the areas of either Toronto, Ontario or Halifax, Nova Scotia, you may also have the opportunity to work from our beautiful offices - 1 located in Downtown Toronto and the other in Downtown Halifax, both with easy access to transit.

Culture and Diversity

Wattpad is an equal opportunity employer. We do not discriminate. Period.¬†

Wattpad welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.¬†We have taken a leadership position on creating a culture and an organization that truly values diversity. We are committed to fostering a global team that reflects the diversity of the Wattpad community. At Wattpad, we believe cultural fit doesn‚Äôt mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. We consider employment applicants without regard to age, race, colour, national origin, citizenship, religion, creed, sex, sexual orientation, veteran status, marital status, disability status or any other protected status.¬†¬†

If you have any special needs or accessibility requirements, please let us know. We will do our utmost to accommodate, in accordance with applicable local legislation.


Senior Data Scientist Marketing

The Role
We’re looking to add a Senior Data Scientist to our growing Data team to help us measure the impact of ourMarketing initiatives (Marketing and Sales) and identify growth and optimization opportunities to unlock the next stage of Loom’s growth.

We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.

* We are currently hiring remotely in the United States and Canada
Responsibilities

Measure the impact ofMarketing initiatives (Marketing & Sales) and identify growth and optimization opportunities
Partner with Marketing and Sales teams to provide data support through dashboards, analyses and adhoc requests
Design and develop core business metrics, create insightful automated dashboards (and the necessary data pipelines) and data visualization to track progress
Build marketing attribution to understand where users are coming from, ROI on campaigns and lifetime value model to inform customer acquisition costs
Proactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the team
Develop a thorough understanding of traffic, funnels, conversion rates and user behavior using large clickstream event data (from web and mobile apps)

What We're Looking For

5+ years of experience in a data science or analytics role turning data into insights and recommendations
Strong analytical and communication skills with the ability to synthesize insights into compelling stories
Experience with marketing attribution, lifetime value and churn prediction models
Good business sense, marketing, sales and acquisition domain knowledge
Proficiency in SQL (Snowflake, Postgres) - able to write structured and efficient queries on large data sets
Experience with a statistical scripting language (e.g. R or Python)
Experience with a Business Intelligence tool (e.g. Tableau or Mode)
Experience with Google Analytics and the underlying data in BigQuery is a plus
Experience with ETL tools such as Airflow or DBT is a plus
A Bachelor’s Degree in a quantitative field or higher


Data Scientist

Grammarly team members in this role must be based in the United States or Canada.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientists at all levels of experience—early career, senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:

Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2–4 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.

Support for you, professionally and personally

Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.

For Colorado-based employment: The base salary range (excluding equity) for this position is $156,000-286,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with applicable law. Grammarly is an equal opportunity employer and a participant in the US Federal E-Verify program.
Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia
Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario


Data Science Manager

Grammarly team members in this role must be based in the United States or Canada.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist Manager, you will:

Have a broad scope and an evolving role in a rapidly growing company.
Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data.
Be a thought leader to influence the product and business partners.
Identify new Product and Growth opportunities.
Provide data-driven solutions to complex product and growth questions.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2–4 weeks per quarter, traveling if necessary to the hub where the team is based.
Preferably has 3 years of experience managing data science teams.
Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience.

Support for you, professionally and personally

Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.

For Colorado-based employment: The base salary range (excluding equity) for this position is $192,000-$326,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with applicable law. Grammarly is an equal opportunity employer and a participant in the US Federal E-Verify program.
Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia
Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario