Data Scientist

Techstars seeks an experienced Data Scientist to join a growing team of investment professionals shaping our fund and investment strategy in support of ambitious entrepreneurs worldwide. As an integral member of the Techstars Capital team, the Data Scientist will be responsible for owning and delivering a suite of data and analytics solutions to support the firm's capital formation, investment strategy, fund management, and investor relations activities globally. We are searching for a person who is an excellent problem solver and analytical thinker, is highly technical and a skilled insights specialist, is a proven leader who can develop and execute against a roadmap, wants to build new data tools and products that contribute to investment decision-making on a global scale, is excited about working as part of a broader team, and is passionate about venture capital and high-growth entrepreneurship.

Duties and Responsibilities

Collect, clean, aggregate, analyze, and visualize structured and unstructured datasets from a variety of public and private sources;
Develop and maintain quantitative/statistical/machine learning models, databases, dashboards, tools, and performance metrics;
Produce actionable insights (data + story) in support of the firm's capital formation, investment strategy, fund management, and investor relations activities globally
Design and implement procedures that ensure best-in-class data generation, stewardship, pipelines, and workflows;
Work seamlessly in an interdisciplinary team of professionals on the Capital team; collaborate with key partners across the business (Accelerator Investments, Engineering, Portfolio Services, Finance, Legal, Executive);
Lead and support various thought-leadership initiatives on the Capital team and throughout the organization, and develop and maintain new tools for reporting and insights
Mentor and lead junior staff

Qualifications

5+ years of work experience in a quantitative research role, with demonstrated love of data analytics, an intellectual curiosity, a desire to constantly learn and grow;
Proficiency in programming languages for data and statistical analysis (R, Python), databases (SQL, APIs), infrastructure (AWS), and data visualization (Tableau, D3, Shiny);
Demonstrated ability to independently build predictive/machine learning models and produce data-driven insights for business and/or investment audiences;
Experience and interest in building data products, processes, and dashboards; leading teams in the production of such outputs a plus
Domain knowledge and interest in entrepreneurship, venture capital, and technology;
Work experience in venture capital, private equity, or investment banking is a plus;
Knowledge of existing data sources in startups and venture capital (PitchBook, Crunchbase, Burgiss, Prequin) is a plus;
The ability to work both independently and within a team; possess a congenial disposition, an entrepreneurial spirit, and have comfort in an informal work environment; and
A conviction that entrepreneurs create a better future and a desire to support our mission to help entrepreneurs succeed.

Compensation range: $1250,000 - $175,000 + 10% Bonus
US Benefits

About Techstars
Techstars is the worldwide network that helps entrepreneurs succeed. Founded in 2006, Techstars began with three simple ideas - entrepreneurs create a better future for everyone, collaboration drives innovation and great ideas can come from anywhere. Now we are on a mission to enable every person on the planet to contribute to, and benefit from, the success of entrepreneurs. In addition to operating accelerator programs and venture capital funds, we do this by connecting startups, investors, corporations and cities to help build thriving startup communities. Techstars has invested in more than 2,300 companies with a combined market cap of more than $29B.
Techstars’ mission is to help entrepreneurs succeed wherever they are in the world and whatever their background is. Regional accelerator programs all around the world are the cornerstone of the strategy. The investment approach is fundamentally driven by the worldwide network of managing directors, who interact with startup founders daily, guiding, mentoring and cultivating them along the journey. The scale of this reach results in a diversified strategy that provides investors with a uniquely qualified deal flow.
We help Techstars founders connect with other entrepreneurs, experts, mentors, alumni, investors, community leaders, and corporations to grow their companies.
www.techstars.com


Data Scientist Product Analytics Temporary

About the team
The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives.

What you will do

Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights
Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities
Assist product and marketing with Go to Market plans including audience segmentation and sizing
Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement
Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes
Conduct analysis of feature usage and how we can improve the product
Effectively communicate insights and recommendations to stakeholders
Lead ongoing decisions concerning data collection, test/study design and data analyses

What you have done

Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field
3+ years experience doing quantitative analysis
Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL)
Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau)
Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
Ability to translate complex data into actionable insights for a non-technical audience

Who you are

Strong problem solving and analytical skills
Driven self-starter with good attention to detail
Willingness to learn new technologies, tools and approaches to problem solving
Excellent communication and presentation skills
Experience working within the tech sector preferred

We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

California privacy notice: Read our privacy policy for job applicants at https://evernote.com/privacy/policy


Data Scientist Analytics

About the team
The Evernote Analytics team is responsible for providing data insights that inform and influence our product and business decisions. We are looking for data scientists who are passionate about using data to solve interesting or challenging problems, to shape the future of what we build at Evernote. The ideal candidate will have a background in a quantitative or technical field, will have experience working with complex data sets, and will have experience in data-driven decision making. You are intellectually curious, focused on results, and have demonstrated success in using analytics to drive the understanding, development, and success of product or marketing initiatives.

What you will do

Apply your expertise in quantitative analysis, data mining, and data visualization to see beyond the numbers, understand how our users interact and engage with Evernote, and draw actionable insights

Partner closely with product, engineering and marketing teams to solve problems and identify trends and opportunities

Lead the definition of product and business success metrics, collaborate with working teams to ensure correct data tracking instrumentation for measurement

Build reports and dashboards to monitor KPIs (Key Performance Indicators), understand drivers of KPI changes

Conduct analysis of feature usage and how we can improve the product
Effectively communicate insights and recommendations to stakeholders
Lead ongoing decisions concerning data collection, test/study design and data analyses

Design and implement predictive models to improve engagement, conversion, and retention

What you have done

Bachelors or Masters in Computer Science, Statistics, Math, Finance, or other quantitative field
4+ years experience doing quantitative analysis
Work Related experience (3+ years) in querying and manipulating large data sets using data querying languages (e.g. SQL)
Experience in scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
Experience with designing and deploying compelling dashboards using business intelligence tools (e.g. Tableau)
Knowledge in applied statistics (e.g. hypothesis testing, regressions, predictive modelings) or experimentation (e.g. A/B testing) in an industry setting
Ability to translate complex data into actionable insights for a non-technical audience

Who you are

Strong problem solving and analytical skills
Driven self-starter with good attention to detail
Willingness to learn new technologies, tools and approaches to problem solving
Excellent communication and presentation skills
Experience working within the tech sector preferred

We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.

California privacy notice: Read our privacy policy for job applicants here


Data Scientist Forecasting And Attribution

Data Scientist - Forecasting & Attribution
WHAT WE DO MATTERS:
Here at The Knot Worldwide, we believe in doing work that matters. In 16 countries around the world, our leading family of brands (The Knot, WeddingWire, Bodas, Hitched, The Bash, The Bump, and more) inspire, inform, and celebrate our communities as they move through life’s milestones. Our couples and business partners depend on us. They're all in. So are we.
ABOUT THE ROLE AND OUR TEAM:
We are looking for an Economist with a background in time series forecasting to support our demand models for our marketplace and ecommerce businesses. Our marketplace connects over 2 million engaged couples with +50,000 local wedding vendors (e.g. Venue, DJ, Florist, etc.) across the US each year while our ecommerce businesses help couples create their registry, connect with their guests and utilize our paper invitation offerings.
This role will work closely with our Data Scientists, Data Analysts and business teams including our marketing specialists. You should have experience and a curiosity to develop yourself around forecasting techniques.
RESPONSIBILITIES:

Design and implement statistical, machine learning, and hybrid time series forecasting models, particularly within a hierarchical context
Identify drivers of value creation
Create data solutions for ambiguous business problems
Collaborate with business stakeholders, data engineers, data scientists, and data analysts to drive end-to-end success of your solutions
Communicate the value of your work to a broad audience, both business and technical

SUCCESSFUL CANDIDATES HAVE:

Ph.D. in Economics and 2+ years of experience
Proficiency at either Python or R
Proficiency in key statistical and machine learning techniques (predictive modeling, classification, forecasting, and other advanced techniques)
Experience building time series forecasting models leveraging machine learning, statistical, econometric, and/or hybrid models
Ability to communicate effectively and influence others
Ability to work in a fast paced environment and shift gears quickly.
At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference!

WHAT WE LOVE ABOUT YOU:

You Dream Big. You iterate and experiment to drive innovation.
You Love Our Users. You keep our global community at the center of everything you do.
You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion.
You Hustle Every Day. You favor urgency and own your outcomes.
You Win Together. People are at the heart of our success and you play as a team.

WHAT YOU LOVE ABOUT US:
The Knot Worldwide offers a unique employee experience and we are deeply proud of our award-winning culture. We offer a full benefits package including options for medical, dental and vision insurance and a 401k with company match. From flexible vacation and generous parental leave benefits to promoting wellness and giving back to our community, we believe in happiness above all else—in and out of the office.
--
The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
If you are a resident of California, by submitting your application, you acknowledge that you’ve read the California Privacy Notice.
#LI-KS1 #LI-Remote


Sr Data Scientist Nlp

Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance.

We are backed by some of the most prominent VCs with Microsoft being an investor in our last round of financing. Come join us and help us revolutionize a multibillion dollar industry.

The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.

What You'll Do:

Work closely with software and business teams to build, integrate and deliver successful algorithms in a modern SaaS platform.
Contribute to advancing NLP and its applications, to create highly innovative products and customer experiences, ranging from text understanding and classification to information extraction.
Build end-to-end products from the ground up, from data exploration through feature generation and model construction and deployment.
Own design, implementation and deployment of your models and see them deliver business impact.
Mentor other team members and continuously further the Data Science organization
Guide design, architecture, tooling and processes at the organization level

Skills/Qualifications:

7+ years ML experience in industry, startup experience is a plus
4+ years working with deep learning in NLP, additional experience with Computer Vision is a plus
Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch)
Ability and motivation to stay up to date with the very fast-moving NLP space
Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving impact

Evisort is an E-verify employer.  Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.


Director Of Data Science

In this role you will be responsible for defining and leading the strategy for our growing data science team and data products. You will work with key stakeholders within the company and thought leaders outside the company to propel Biobot as a leader in data science, public health, and data for social impact.

This is a remote role, but quarterly (or more frequent) travel to our Boston and NYC offices is required.

What you will be doing

Develop a vision for how we will use data to drive Biobot’s products forward.
Collaborate with leadership and other departments at Biobot to strategically align the Data Science team’s work with the company’s business strategy.
Represent the Data Science team with Biobot leadership to drive high-impact product and strategy decisions.
Lead a team that is inventing and implementing new ways to use wastewater data for public health.
Define and drive execution against core KPIs that govern the team’s progress with respect to company-wide goals.
Grow and mentor Data Science’s scientific managers and senior data scientists, epidemiologists, and computational biologists.

What you will need to succeed

Proven track record of conceptualizing data products and driving them to market offering.
7+ years of experience in data science, applied statistics, epidemiology, geospatial analysis, computational biology, or related fields.
7+ years of experience in science and scientific research in biology, computational biology, chemistry, or related fields.
4+ years of experience in managing and mentoring research or engineering teams in a high-scale technology company.
Exceptional track record as a strong and inclusive coach, providing feedback and mentoring to fellow team members.
A mastery of Python, or a mastery of R with a working knowledge of Python.
Demonstrated ability to communicate complex analytical and scientific concepts across a broad range of audiences.
Demonstrated ability to promote a data-drive culture across an organization.

What will help you succeed

Familiarity with modern software engineering best practices, such as agile development, scientific software development lifecycles, version control, and troubleshooting and testing.
Experience developing algorithms and performing data analyses on complex noisy datasets, such as Bayesian statistics, signal processing, time series analysis, or geospatial analysis.
Familiarity with computational biology and bioinformatics concepts, such as analysis of next-generation sequencing data, and targeted or untargeted metabolomics.
An understanding of regulations and best practices that govern epidemiological data systems, including requirements for data privacy, accuracy, and security.

Some of our benefits

Unlimited PTO
401k with 3% employer contribution
100% employer-paid medical and dental insurance
Competitive compensation and equity options
And so much more!

About Biobot

At Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.

Our mission is to transform wastewater infrastructure into public health observatories.

Named as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope of the outbreak in communities. We are operating in almost 500 communities across 43 states, and generating Covid19 case estimates for over 13% of the U.S. population.

Inspired by the potential of wastewater epidemiology, we are the first company in the world to bring wastewater epidemiology to market. We are VC backed by top investors including The Engine, DCVC, Y Combinator and Homebrew.

Battling the drug epidemic and now the Covid19 outbreak is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot will be an early warning system for disease, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.

Please note that we are unable to sponsor work visas at this time.

www.biobot.io


Senior Data Scientist Client Platform

Data, Research & InsightsData Science
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
Location
Stockholm or Remote EMEA
Job type
Permanent
Platform Mission operates in the heart of Spotify. We build the technology ecosystem that enables Spotify to learn and deliver quickly, while safely and easily scaling to billions of customers, and enabling our rapid employee growth around the globe.
At Client Platform, a part of the Platform Mission, we are passionate about amplifying productivity, quality and innovation across all client developers at Spotify. Client Platform strives to bring a great experience for client developers at Spotify, and through this deliver stable and reliable products for people to enjoy.
As a Senior Data Scientist you will study the behavior of client developers at Spotify, support product strategy, understand our critical initiatives and bring data and insights into high impact collaborations. Spotify is a fast paced company that believes that every decision should be data-informed and every feature be fueled with data.
What you’ll do
Work closely with cross-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about providing an outstanding product experienceDefine metrics, build dashboards, create reports and key datasets to empower data-informed product developmentCommunicate insights and recommendations to key partners, helping activate data best practices in the Client Platform teamsDevelop and innovate on our mixed-methods insights practice, and contribute to the wider Insights community at SpotifyPerform exploratory analysis to understand who our users are, how they get value out of our offering and where we can further develop our product to bring greater valueWork from our offices in Stockholm (With the current situation regarding COVID-19, this role will be remote until it's appropriate to work from the office)
Who you are
5+ years of working experience, with a comparable training in statistics, mathematics, computer science, engineering, economics, or any other quantitative fieldA communicative person who values building strong relationships with colleagues and partners, you also enjoy mentoring and guiding othersAble to navigate loosely defined problems, as well as coming up with impactful and actionable insightsHave understanding of how to instrument products to accurately collect user and system behaviors through data, thus offering a wide variety of insights and product development use casesSkilled in advanced analytics, and you possess statistical competence (such as regression modeling and significance testing)Hands-on experience synthesizing insights from data using tools such as Python, R, BigQuery, SQL, Tableau
Where you'll be
For this role, it can be within the EMEA region in which we have a work location and is within working hours.Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Senior Data Scientist Customer Service

Customer ServiceData Science
In Spotify’s Customer Service team we believe that customers and creators should be spending their time enjoying our products and services and *not* having to speak with us. That is why we relentlessly advocate for them by working with product teams to troubleshoot issues and create a simpler, hassle-free experience.
Location
London or Remote EMEA
Job type
Permanent
We are looking for a smart, ambitious and kind senior data scientist to join the Customer Service team. Here you will build data products and generate insights that amplify the voice of our customers throughout Spotify.
What you’ll do
Partner with operations and engineering leaders to understand the customer service roadmap, and ensure our data strategy and framework is alignedWork closely with engineers and analysts to design and implement lasting data modelsDevelop data structures and pipelines which empower research and analysisDesign and conduct tests to drive iterative improvements to the customer support journey and to support delivery metricsUse statistical techniques to derive insights from large sets of data that will inform product updates, design decisions, and operations goalsBe a strong advocate for data-informed decision-makingCommunicate insights and recommendations to key stakeholders, and be the voice of customer service analytics throughout the companyDesign, implement, and maintain ETL pipelines in SQL and Google BigQueryBuild strong relationships with colleagues and partners, and be a mentor and coach to others on the team
Who you are
5+years experience in a similar role working with large scale data, using both SQL and Python. Experience working with free text data is a plusExperienced in designing analytical data layers and in conducting ETL with large and complex data setsStrong understanding of statistics and experience with A/B testingAn independent thinker who is able to work autonomouslyCapable of solving loosely defined problemsCurious and not afraid of exploring new domains. You enjoy partnering with others to tackle new challengesCompelling storyteller who can communicate in succinct and inspiring ways. You are comfortable and effective speaking with non-technical audiences as well as engineersBackground in computer science, engineering, physics, statistics, economics, mathematics, a similar quantitative field or comparable experience
Where you’ll work
We’re a distributed workforce enabling our band members to find a work mode best for them!Where in the world? For this role, it can be anywhere in the EMEA region in which we have a work location Working hours? We operate within the GMT and EST time zones for collaboration
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Data Scientist Personalization Knowledge

Data, Research & InsightsData Science
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
Location
New York or Remote ESTAmericas
Job type
Permanent
We are looking for a seasoned data scientist with experience providing insights to platform organizations to join the Personalization Knowledge team. The Personalization Knowledge team builds the models, tools, and data products that represent user taste, behavior, discovery, and their relationships with content. Your work will help us measure the impact of our platform and explore new opportunities to improve our understanding of users and the audio they love.
What You'll Do:
Develop research questions and conduct data analysis to understand internal usage of our data products as well as their impact on Spotify’s users.Design and analyze experiments and perform causal inference when A/B testing is not an option.Evaluate the performance of ML models in online and offline settings.Define, evaluate, and monitor key metrics.
Who You Are:
3 + years of professional experience as a data scientist in a related tech/consumer field.Technical competence to perform advanced analytics: coding skills (such as R, Python, or Scala), experience with analytics and visualization tools (SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets.Significant expertise in experimentation and causal inference.You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
Where You'll Be:
We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Senior Data Scientist Commerce Platform

Data, Research & InsightsData
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
Location
London or Remote EMEA
Job type
Permanent
When you think of commerce at Spotify, you might think of the millions of subscribers and their transactions from purchasing Premium subscriptions. But as we deliver on our mission to empower creators to live off of their art, we are diversifying. From enabling fans to purchase artist merchandise, to enabling podcasters to monetize ad space in their content and much more - all of this will be powered by the commerce platform.
As the commerce platform team, our mission is to unlock commerce at Spotify through a best in class platform that enables teams to quickly and safely build businesses.  As the Product Insights team within commerce, our mission is to enable user-centric, data-driven decision making across the team.  We’re looking for an experienced Senior Data Scientist to help us do this, to help shape the future of a single unified commerce platform for Spotify.
What You'll Do
Partner with product managers, user researchers and design to create & communicate insights that directly drive major product decisions.Define metrics to help us understand our product’s performance & work with engineering to implement the necessary instrumentation.Influence product strategy with foundational analysis.Drive prioritisation by estimating the impact of potential product changes.Test our product changes by running AB tests or other causal inference techniques.
Who You Are
5+ years of professional experience in data science or related fields.You understand product development, and how to influence it with data analysisYou are technically proficient in SQL, a scripting language (e.g. python) & data visualisationHave a sound understanding of statistics, especially frequentist statisticsComfortable running the full lifecycle of a DS project, from ambiguous needs and stakeholders to data preparation, analysis, recommendations and beyond
Where You'll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the EMEA region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.Working hours? We operate within the Central European time zone for collaborationWe ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Senior Data Scientist Content Analytics New Content Formats

Data, Research & InsightsData Science
We are looking for an outstanding Senior Data Scientist to join the band and our Content Analytics team to drive insights and learning around our growing number of content formats beyond music and podcasts (audiobooks, live content, video).
Location
New York or Remote Americas
Job type
Permanent
What you'll do:
Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on new content formatsPartner with cross-functional teams across Content and Product to develop insights agendas for new content and product experiences within SpotifyWork closely with researchers and content strategists to deliver holistic recommendations on new content to feature to usersEngineer novel data sets, features and reports that shed a new light on the dynamics of how users and creators engage with new content formatsCommunicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling
Who you are:
5+ years of relevant experience analyzing complex data with SQL, Python, and/or RYou have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirablePrevious experience with consumer- or creator-facing digital apps preferred. Other media, entertainment, or technology experience is also highly valuedYou are curious and not afraid of exploring new domains. You enjoy partnering with others to define and develop new opportunitiesYou are an effective communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights. Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)You have a strong understanding of statistics and data science methods such as forecasting, AB-testing, or causal inferenceExperience creating and scheduling datasets is highly valued Knowledge of Google’s BigQuery, or DBT is a plusBased on your experience and expertise, we will match you to one of two levels during the interview process - Data Scientist 2 or Senior Data Scientist
Where you'll be:
We are a distributed workforce enabling our band members to find a work mode best for them!Where in the world? For this role, it can be within the Americas region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.Working hours? We operate within the Eastern Standard time zone for collaboration#remote
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This role is not eligible for hire in Colorado, USA.


Data Scientist Customer Service Platform

Data, Research & InsightsData
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
Location
London or Remote EMEA
Job type
Permanent
Spotify is diversifying: audiobooks, artist merchandise, podcast advertising and many other areas. Each of these services requires a customer service experience that gives users the help they need when they need it. Which is where this team comes in!
As a Product Insights Data Scientist working on the customer service platform, you will be building insights from the ground up as we reinvent how we serve our users’ customer service needs. From scoping data and building out ETLs with Data Engineers, to delivering insights that advise the product roadmap for our many customer service tools (such as chatbots, FAQs, agents, multichannel optimization and more)! Sound exciting?
What You'll Do
Drive prioritisation by estimating the impact of potential product changes, and creating frameworks to align interested parties.Define metric frameworks and partner with engineering to instrument our product. Building systems and practices that allow us to monitor progress at scale efficiently.Partner with product managers, user researchers and design to create & communicate insights that directly drive major product decisions.Identify the most suitable insights methods (exploratory data analysis, experimentation, causal inference, regression methods, ML etc) to support all stages of the product development cycle (from conceptualisation to shipping/optimisation).Partner with user researchers to combine qualitative and quantitative insights into more powerful and compelling stories - understanding the what and the why.
Who You Are
3+ years of professional experience in data science or related fields.A technically minded data scientist with a deep understanding of data, instrumentation, and pipelines.Previous experience partnering with engineering to deliver metrics frameworks & dashboards.Ability to query large datasets with SQL (our DWH is in BigQuery) along with great coding skills (Python or R).You have great knowledge of analytics & visualisation libraries (e.g. pandas, tidyverse, seaborn, ggplot), and visualisation tools (Looker or similar) with a proven record of appealing visuals.Ability to use statistics to drive business decisions. Methods include: success metrics, a/b testing, determining statistical significance and presenting findings with clear product recommendations or implications.
Where You'll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the EMEA region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.Working hours? We operate within the Central European time zone for collaborationWe ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Data Scientist Personalization

Data, Research & InsightsData Science
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.
Location
New York or Remote ESTAmericas
Job type
Permanent
We are seeking a Data Scientist to join our Product Insights team, focusing on Personalization. We have several roles open across different levels of seniority.
You will be solving complex data problems and delivering the insight that helps to define our understanding of music, audio and our listeners to develop how we personalize at Spotify.
This role works closely with a multidisciplinary team of data scientists, user researchers, data engineers, product teams and designers. Your work will impact the way the world experiences music and audio!
What You’ll Do:
Develop research questions and undertake data exploration to understand who our listeners are, how they get value out of Spotify, and where we can develop our product to bring greater value.Work closely with the team including data engineering to build lasting solutions to our data modeling Design, analyze, and interpret the results of experiments.Perform exploratory analyses to understand the performance of our machine learning systems.Define, evaluate, dashboard and monitor key metrics, understanding root causes of changes.Contribute to the development of the Product Insights function and the wider analytics community at Spotify.
Who You Are:
You will have 3+ years of relevant applied experience with a degree or higher in economics, psychology, computer science, statistics, or mathematics or another quantitative discipline.Technical competence to perform advanced analytics: coding skills (such as R, Python, or Scala), experience with analytics & visualization tools ( SQL, Tableau, ggplot/matplotlib or equivalent), and experience performing analysis with large datasets.You have strong statistical understanding of online testing methodologies and metric development.You are an independent thinker, able to work autonomously, capable of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences.You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others.
Where You’ll Be:
We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours. Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Staff Data Scientist Freemium Product Insights

Data, Research & InsightsData
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.
Location
London or Remote EMEA
Job type
Permanent
We are looking for a Staff Data Scientist to join the Freemium Product Insights team. As part of our team, you will study user behavior, critical initiatives, product features, and more bringing data and insights into every decision we make. Your work will affect how we think about our users and will craft compelling experiences and propositions in a competitive media landscape. This is a highly impactful role where you will be able to directly influence Spotify’s business and millions of Spotify users around the world.
What You’ll Do:
Work on both foundational research and business critical initiatives, taking on the role of an insights leader.  You will be responsible for identifying and designing the most suitable approach for the given business problems and leading the work of other insights practitioners in the organization to deliver against thisDevelop frameworks and methods that elevate the insights practice within the business unit and provide coaching and mentorship to members of the insights community Influence the thinking of senior leaders at Spotify within and outside the insights functionCultivate positive relationships with cross-functional teams of product managers, engineers, designers, user researchers, business partners and others across the company
Who You Are:
Strong eye for business and demonstrated ability to create and drive strategic insights roadmaps to deliver against core business needs. Ability to plan and stage the insights work to be done and drive the execution of this leveraging other Insights individualsExcellent technical competence and experience performing analysis across a breadth of techniques (e.g. exploratory analytics / causal inference / experimentation / ML techniques)  Strong SQL and quantitative programming skills (Python preferred)Extensive experience working with large scale datasets and using data engineering best practices (e.g. CI/CD, testing, git) Strong statistical knowledge and intuition, including experience designing, monitoring and analyzing A/B testsAbility to communicate effectively and influence senior leadershipAbility to communicate technical and statistical concepts clearly and concisely among audiences of varying technical levelsAbility to collaborate effectively with cross-functional partners to drive impactExperience of mentorship of other data scientistsThrive in a fast-paced, dynamic and high energy environment and are comfortable with ambiguity
Where You'll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the EMEA region in which we have a work locationPrefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options hereWorking hours? We operate within the Central European time zone for collaborationWe ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
Our global benefits

Extensive learning opportunities, through our dedicated team, GreenHouse.

Flexible share incentives letting you choose how you share in our success.

Global parental leave, six months off - fully paid - for all new parents.

All The Feels, our employee assistance program and self-care hub.

Flexible public holidays, swap days off according to your values and beliefs.

Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Global COVID and Vaccination Disclosure
Spotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.


Sr Data Science Manager

About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice.
Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to–through team leadership and support–leverage data science to advance critical research and development (R&D) efforts for our products. You will manage our growing team of 4 high-performing data scientists as well as advise and support them as they develop our data science architecture and tech stack, leverage educational data for R&D purposes, develop equity-first analytics products, and grow professionally. You’ll work closely with and report to Panorama’s Director of Research and others on our Engineering, Product Management, and Information Security teams–as well as company leadership–on data science strategy, planning, hiring, and execution.
Responsibilities:

Oversee the compiling, cleaning, managing, analysis, and visualization of large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
Advise and support data scientists as they 1) design, secure, and implement data pipelines and infrastructure to enable product development and advance company goals 2) apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
Develop data and human systems that foster innovation, inclusion, excellence, and equity
Support team members in their individual and collective impact, growth, satisfaction, and well-being
Organize sprints, oversee data science project management, and ensure that estimates are accurate and deadlines are met
Hire and onboard a diverse set of data scientists.
Help envision and lead the next phase of our data science strategy and efforts, including team, technology, and security practices, as well as the development of analytic products

Our Ideal Candidate Has:

3+ years of experience as a Data Science Manager, a passion for helping team members thrive through individual support and system-level improvements, and a track record of improving team practices
Demonstrable and broad expertise that includes data pipelining, cloud computing, manipulating large datasets, and using traditional and modern statistical methods to solve user problems
Ability to thrive as a team player in a collaborative, small-team environment


Product Manager Data Science

About the Role:
Do you enjoy bringing together data to help solve problems? As Senior Product Manager, Data Science Labs, you will work to spin up a sophisticated data science infrastructure that gives internal teams the tools to explore our data in new ways and enables us to innovate Panorama’s platform through the development of features powered by our data set.
You will work cross-functionally with partner teams and product leadership to develop a vision for how we supercharge our products by surfacing data-informed insights and recommending action to users and a strategy to get us there. You will work with a team to innovate, test, and deliver valuable new features, build upon our analytic expertise, and support and help shape the growth of our product team norms and practices as we scale.
You will become an expert in K–12 education and the technical needs of our school, district, and state partners, identifying the most important problems to solve and delivering creative solutions to scale our support of all students and drive improved and more equitable outcomes.
Responsibilities:

Define problems and devise the roadmap for enabling data exploration and analytic development through a set of data science tools
Partner with other product leads to ensure that we are delivering the data science infrastructure and tools that will best support the goals and mission of each product area.
Ensure high-quality execution of the roadmap through collaboration with other development team members including engineers and data scientists
Gain a deep understanding of the day-to-day lives of K–12 district technical leaders and the challenges that they face when using our platform and look for ways to improve their experience with Panorama’s platform.
Lead by example and drive meaningful client and business outcomes by setting and achieving goals with your cross-functional team
Communicate your team's roadmap and strategic plans, creating excitement and alignment within your team, and across Panorama

Our Ideal Candidate Has:

2+ years of product management including experience working with data science or analytics
Implemented new systems or practices across different product teams, and effectively aligned stakeholders to goals and process
Interest in solving big problems and helping educators improve student outcomes in innovative ways
Exceptional communication across all levels of an organization, stakeholder alignment, and driving business objectives
A people-first mentality to help others succeed
Experience working in Education, EdTech, B2B SaaS products, and leading cross-functional teams


Data Scientist

About Ophelia

Ophelia is a mission-driven organization that helps individuals with opioid use disorder (OUD) improve their health and quality of life. We make evidence-based treatment private, accessible, and affordable.

Opioid overdose is the #1 cause of death for Americans under 50, accounting for over 100 deaths each day. There is a proven treatment for OUD, called medication-assisted treatment (MAT), but 80% of people in need are unable to access it. We created Ophelia to make this treatment accessible from the privacy of your home.

We're a diverse and dedicated team - clinicians, scientists, techies, and humanitarians - on a mission to reimagine addiction treatment in America. We've raised $68 million from the world's top healthcare and technology investors (Y Combinator, Tiger Global, Menlo Ventures, General Catalyst), and we're rapidly expanding across the nation, helping thousands of people each day.

Join us, save lives, and help fix healthcare for those who need it most.

Culture @ Ophelia

Don’t Take Yourself Too Seriously
We’re a small team at Ophelia, and love a good laugh. Expect to be made into a slack reaction gif on your first day, defend your opinion on how gif is pronounced (spoiler alert, you’re wrong), and get a lot better at Quiplash and Codenames.Feel free to include gifs in your application (encouraged).

Take Our Product Super Seriously

We care deeply about our users and making their lives better. We apply product thinking not only to our product cycle, but to our entire business to make sure we’re always optimizing our user experience.We’re all passionate about the addiction medicine space, and love collaborating across our roles and departments to provide the best product we can.

What We Build
At Ophelia, the users we build products for wear as many hats as we do. We build products for our patients to connect with Ophelia and their providers, for our team members to better understand our data, and for our clinicians to provide high quality care to our patients. We’ve built a state of the art, proprietary electronic health record for our team to provide tailored treatment to each of their patients, that we’re constantly improving to make our clinicians lives easier, and our patients lives better. One of the most important ways we do this is with our data, and we work to aggregate it from all our sources to help the team draw brand new insights from it.

About the Role
We’re looking for a Data Scientist to help turn Ophelia into a more data driven organization. There are questions that we want our data scientist to answer while also helping us answer the questions we’re not yet thinking about. If you are passionate about data science we would love to have you!

2+ years of work experience in product/data analytics/data engineering or related discipline
Data science experience  and familiarity with managing large data sets
Experience building insightful dashboards with visualization tools
A general knowledge of machine learning approaches
The ability to collaborate and communicate with Product Managers and help them craft hypotheses, and define and measure KPIs
A self-starter approach, with strong motivation and drive for excellence

Our Stack

Fivetran, Snowflake, React, Node.js, Express.js, Firebase Cloud Functions, Firestore DB, Firebase Hosting, Google Cloud Platform, Webflow.io, Segment, GitHub

Next steps:

If you're interested in the role or have any questions please email your LinkedIn || GitHub || Resume to Felix@ophelia.com

If this doesn’t seem right for you, but you know a good candidate, please forward this along.

Sincerely,
Felix Gaye (Technical Recruiter) & The Ophelia Team

Interested in learning more about Ophelia and this role? Apply below!


Applied Scientist Ad Targeting

Do you want to help local businesses grow? Our Ad Targeting team connects millions of users to the right businesses each day. From restaurants, boutiques, and salons, to dentists, mechanics, and plumbers, our recommendation system knows just the place.

As an Applied Scientist, you will design robust A/B experiments to characterize user behavior, assess machine learning models through careful statistical analysis, and build end-to-end machine learning models that help millions of users make better decisions.

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. We enable all new team members to deploy working code in their first week, and your impact will only grow from there with the support of your manager, mentor, and team. Learn more about Yelp by visiting: Culture at Yelp / Yelp Fact Sheet / Diversity at Yelp / Yelp Engineering Blog / Yelp Blog / Yelp Open Source / Yelp Economic Average.

We’d love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.

This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada.

Where You Come In:

Identify and own challenging problems, form testable hypotheses, and drive significant business impact
Conduct end-to-end analyses, from wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Communicate your conclusions to technical and non-technical audiences alike.
Develop and deploy ML models into production and continuously improve their performance.
Keep the team and our projects current on new developments in ML and statistics by reading papers and attending conferences and local events

What It Takes to Succeed:

Experience with data analysis/statistical software and packages (pandas/statsmodels/sklearn within Python, R, etc.).
Experience with predictive modeling/machine learning, forecasting, or causal inference.
Experience with machine learning packages such as xgboost, TensorFlow, etc. is a plus.
A demonstrated capability for original research, the curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
The motivation to develop deep product and business knowledge and to connect abstract modeling and analysis tasks with business value.

What You’ll Get:

This opportunity has the option to be fully remote in all locations across Canada.
For more information about Canadian benefits at Yelp, please check out this link.

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”

We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.

Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.


Data Science Manager Nlp

Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance.

We are backed by some of the most prominent VCs including Microsoft, TCV, and General Atlantic. Come join us and help us revolutionize a multibillion-dollar industry.

The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a data science manager to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.

What You'll Do:

Manage a team of data scientists and align their growth and career development objectives with company’s roadmap and OKRs, and continuously further the Data Science organization
Be a hands-on manager who does not shy away from writing and/or reviewing code or data
Collaborate with your team to effectively develop projects milestones and timelines and ensure timely and high quality delivery of said milestones.
Effectively manage communications with stakeholders and work closely with software and business teams to build, integrate and deliver successful AI in a modern SaaS platform.
Contribute to advancing NLP and its applications, and creating highly innovative products and customer experiences.
Guide design, architecture, tooling and processes at the organization level

Skills/Qualifications:

5+ years Machine Learning experience in industry as an individual contributor, startup experience is preferred
3+ years of experience as a data science manager of high performing teams, startup experience is preferred
2+ years working with deep learning in NLP as an individual contributor or as a manager
Strong background in deep learning architectures (e.g., RNNs, CNNs, Transformers), and applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python and deep learning frameworks (e.g., Tensorflow, PyTorch) and strong attention to code quality
Ability and motivation to stay up to date with the very fast-moving NLP space
Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving impact

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Research Scientist Technical

Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking.
BetterUp Labs is currently seeking an innovative, accomplished Research Scientist who is passionate about advancing our understanding of the inner life and whole person performance of professionals around the globe. In this role, you will capture, measure, and analyze a range of behavioral data signals - from sensor data to self-report assessments to digital exhaust - to develop computational models of human flourishing. You’ll need to draw on your mastery of experimental social science, web- and app-based data engineering, applied machine learning, computational linguistics, and all-around data wizardry to uncover truly ground-breaking answers to The Big Questions.
This role will provide a rich opportunity to showcase the intersection of your strengths as a social and computational engineer and scientist, and to leverage your diverse skills in the translation of science to practice. At BetterUp you’ll have the opportunity to work side by side with talented, motivated, and intellectually stimulating colleagues who thrive on helping organizations solve their most pressing behavioral business challenges.
What you’ll do:

Conceive of, develop, and prototype predictive computational models of personal and interpersonal flourishing behaviors.
Collect and process data from a range of behavioral health software and hardware (think productivity apps, wearables, and digital communication platforms).
Analyze both new and existing data to generate insights for both internal (marketing, product) and external (research community, prospects, customers) audiences.
Develop best practices for collaboration, maintenance, and reporting of analytics projects.
Communicate findings with written, visual, and oral presentation media, for internal presentations, external reports and talks, and academic manuscripts.
Stay on top of advances in relevant fields of research (e.g. applied ML, NLP, wearable/sensor technologies, psychological science) to inform experimentation and other business decisions.

Key Behaviors:

Practice rigorous science and compelling data storytelling.  Storytelling as a moral good!

Think creatively and interdisciplinarily.  Draw from the cutting-edge across academic and industry to inform study design and analysis.Always be ready to answer: what’s the best paper you’ve read recently that changed how you see the world?

Demonstrate unerring responsiveness to and seamless collaboration with internal customers, including marketing, product, sales, customer success, and operations teams. We work with a lot of different, amazing, people.

Learn continuously to stay on your edge in the relevant scientific literature.
Collaborate without ego, willing to take on small tasks (CSS tweaks) and large (design of years-long projects).

If you have some or all of the following, please apply:

Hold an advanced degree from a top-tier university in one of the following (or similar) fields: applied machine learning, computational linguistics, computational social science, data science, data engineering.  (B.S. holders with strong computational/statistical backgrounds also considered.)  Note: This is not a traditional software engineering function.  A strong background in social science, along with computational science/engineering expertise, is required. Similarly, this role requires a lot more comfort with data engineering (e.g. building a data ingestion pipeline from scratch for a new wearable) than a traditional social science role.
Strong preference for minimum 2 years working in a similar role, preferably in a startup environment.
Proficient in Python, with a focus on ML/DL modules (Pandas, Scikit, Tensorflow, Pytorch).  Proficiency in R (tidyverse) a big plus.
Experience building and understanding predictive models based on multimedia data (video, audio, text), using cutting-edge deep learning methods.
Comfortable with common inferential statistical methods, including hierarchical/multilevel models, Bayesian inference, cross-validation, and optimization.
Basic SQL competency.
Expertise in human behavioral data measurement, collection, and analysis.  Psychology background a big plus.
Exceptional written and verbal communication skills.
Demonstrated desire for continued learning and development across different academic disciplines.

Benefits:
At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.

Access to BetterUp coaching; one for you and one for a friend or family member
A competitive compensation plan with opportunity for advancement
Medical, dental and vision insurance
Flexible paid time off
Per year:

All federal/statutory holidays observed
4 BetterUp Inner Work days (https://www.betterup.co/inner-work)
5 Volunteer Days to give back
Learning and Development stipend

Holiday charitable contribution of your choice on behalf of BetterUp
401(k) self contribution
Company wide Summer & Winter breaks

Diversity & EEO statement
We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don’t hesitate to reach out — we encourage everyone interested in joining us to apply.BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Interested? Get in touch with Andrew Reece to learn more.  andrew.reece@betterup.co
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Data Scientist Manager Pricing R D Auto

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
In this role as the Data Scientist Manager, Pricing R&D (Auto):
Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a strong leader to build products that create confident, happy customers.
What will you do as the Data Scientist Manager, Pricing R&D (Auto)?

Roll up your sleeves to design, gain alignment, and execute on impactful initiatives spanning our customers’ journey
Lead a small but mighty team to build the future of our insurance product
Collaborate with the State Product Management, Product and Technology, Legal and Compliance, Growth, Marketing, and the ClearAI team to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making across Clearcover
Embrace and champion agile development practices and function as the day to day scrum master on directly managed team(s)

What do you need as the Data Scientist Manager, Pricing R&D (Auto)?

7+ years of experience applying advanced quantitative or predictive modeling techniques
Successful track record of managing small teams in an Agile framework
Strong intellectual curiosity with a bias towards action
Deep insurance knowledge with Auto and Property experience preferred
Strong communication skills with the ability to understand and explain P&L concepts to a non-technical audience

What would make you an exceptional candidate as the Data Scientist Manager, Pricing R&D (Auto)?

Strong programming skills with experience in SQL, and R or Python
Extensive product development experience from concept through post launch monitoring

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected.
With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.


Intermediate Ml Nlp Data Scientist

Paper is looking for an Intermediate Data Scientist - NLP to join the growing R&D team. You will be responsible for performing research and applying techniques in natural language processing, machine learning and information retrieval.
In this role, you will be responsible for designing and implementing algorithms to solve technical problems and you are expected to adopt a scientific approach when conducting R&D experiments. you will spend a significant amount of time planning, building, and deploying NLP custom and off-the-shelf solutions while working closely with our engineers. You should be self-directed and comfortable conducting applied research in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:

Develop, evaluate and deploy ML / NLP techniques.
Mine and analyze data from the company databases to create standardized datasets.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data collection techniques.
Use predictive modeling to improve service delivery, customer experience, and other business outcomes.
Develop custom data models and algorithms.
Coordinate with different functional teams to implement models and monitor outcomes.

Qualifications:

+2 years of hands-on experience building neural networks, statistical models and machine learning techniques, with a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field or +4 years of experience in ML development teams.
Extensive experience with Python and common data science libraries (Numpy, Scipy, Pandas, Matplotlib, Seaborn).
Thorough familiarity with machine learning libraries (Scikit-learn, TensorFlow, Pytorch) and NLP libraries (NLTK, spaCy, CoreNLP, Gensim, TextBlob).
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, regression, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience with putting Machine Learning models into production.
Experience with visualizing/presenting data for business stakeholders.
Strong problem solving skills with an emphasis on product development.
Excellent written and verbal communication skills.
A drive to learn and master new technologies and techniques.
Experience using graph learning is a plus.
Knowledge of GCP cloud computing services is a plus.

Job perks:

Work with a dynamic team that provides support whenever you get stuck.
Remote first environment.
Annual company-wide meetup.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.
Stipend to help support the growth of your home office.
Unlimited access to tutoring for children of Paper employees.

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