Senior Data Scientist Experimentation Lead

About Opendoor:
Founded in 2014, Opendoor’s mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one.  So where do you fit in? Whether you’re passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.

About the Team
As the Experimentation Lead Data Scientist at Opendoor, you will collaborate with the rest of our Data Science & Analytics organization to drive more and better learnings across our key business areas. You’ll partner with Engineering, Product, Design, and Operations leaders to identify key questions fundamental to the growth and health of each domain area, and help them craft scientific yet pragmatic learning agendas. You’ll lead data scientists and analysts to continuously improve our methodology, process, and culture to effectively execute experiments and meet growing experimentation demand from cross-functional teams.

Role Responsibilities

Develop a deep understanding of the landscape of causal learning at Opendoor
Partner with cross-functional business owners to identify key questions and opportunities, and construct pragmatic agendas to guide hypothesis-based learning strategies to answer these questions
Collaborate with other data scientists, data analysts, and software/data engineers to improve the processes, knowledge, and tools to support growing business demand for high-quality experimentation planning and execution
Make recommendations on how to grow Opendoor as a learning organization to executive leadership
Become an expert in experimentation practices across online and offline environments, especially in the real estate technology domain

Skills Needed

Expertise in statistical inference and experiment design and analysis
Strong product and business sense to dive deep into new domains and identify patterns and opportunities
Outstanding written and verbal communication skills to influence non-technical audiences and collaborate with technical teammates
Comfort with ambiguity and driving impact in a fast-paced environment
5+ years of industry experience with an advanced degree in a quantitative field
Proficiency in SQL or any other relational database languages and numeric programming in Python, R, or other languages

Bonus points if

Hands-on experience building internal experimentation platforms or customizing commercial experimentation tools for business-specific use cases
Quasi-experimental design and causal inference analysis in situations where data sizes are limited or controlled experiment isn’t feasible

More About Us:

Want to learn more about us and how we are revolutionizing the home buying and selling process? Learn more about us on our website, check out our profile on The Muse to learn more about our culture from our team members, or read our blog posts to hear about the work we are doing.

We Offer the Following Benefits and Perks:
- Full medical, dental, and vision with optional 85% coverage for dependents
- Flexible vacation policy
- Generous parental leave
- Paid time off to volunteer
Please note that these benefits and perks are available only to Full Time team members and do not apply to contract roles.

Opendoor Values Openness:

Our team celebrates our diverse backgrounds. We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. For California residents: for more information about the categories of personal information that we collect for recruiting purposes, please see our personnel Privacy Policy.


Data Scientist

We are looking for an awesome Data Scientist, below you will find the main points for the requisition:

*At least one year of corporate experience.
*Developing skills in Python or Sequel.
*Experience with BI Tools (Qliksense, Power BI, Tableau).
*Good English Skills

A day by day:
*SAFe meetings
*Code reviews
*Project ownership
*Machine Learning operations End to End
*We work with Cloud environment, Using Kubernetes and GitHub (Not mandatory, this is a chance to learn about it)
*Researching as part of the job.

Free training in Cloud tools + 8am to 5pm schedule Mon to Fri + End To End project responsibility + Awesome work environment. Sounds great, right?

About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.


Senior Data Scientist

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

The Role

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

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

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

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

What You'll Do

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

Requirements

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

Nice to Have

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

Perks & Benefits

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

#RemoteGermany

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

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


Sr Data Scientist

What we do
 Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data with integrated open source tools. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Responsibilities

Designing, building, documenting, evaluating, and maintaining statistical models and related data pipelines
Working on a cross-functional team with other data scientists, engineers, a product manager, and a designer to develop data science products
Following best practices with respect to engineering standards, including data privacy and security
Contribute to knowledge sharing and training across the company

Required Qualifications

5+ years work experience related to data science, statistics, or machine learning. This could include coursework or research in a quantitative graduate program.
Experience writing software tools for use by others in Python or R and willingness to work with both languages
US work authorization

Preferred Qualifications

Extensive experience with any of the following:

Machine learning engineering (e.g., developing and maintaining models in production)
Survey analysis methods (e.g., survey weighting) or causal inference methods
Political data or government data (e.g., Census Bureau data)

Extensive experience developing software in Python and R

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech organization focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.

To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Lead Applied Data Science Commercial Business

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Job Description
We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions.
ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company.
Responsibilities

Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals.
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups
Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research
Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Manage and mentor teams of data scientists
Some limited travel required (typically <10%)

Minimum Qualifications

Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.)
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Experience managing teams to complete products within scope and on time
Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment

Preferred Qualifications

Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration
Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus
Familiarity with machine learning, and causal inference a plus
Experience working for a consulting, services, or advisory firm
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.

To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
EEO IS THE LAW
EEO Supplement
Pay Transparency


Sr Lead Data Scientist

Sr./Lead Data Science
About Banyan
Banyan, the global infrastructure company for item-level receipt data, allows its partners to enrich transactions to create incredible experiences for their customers. Powered by Banyan’s APIs, merchants can seamlessly and securely share receipts, while unlocking powerful insights and unique marketing opportunities.
Banyan provides its merchant partners complete transparency and control over who can access receipt data and Banyan’s privacy-by-design approach requires consumers’ permission before any enrichments take place. This new ecosystem allows financial institutions, fintechs, and consumer apps to enrich their data with item-level detail, unlocking a new wave of innovation to drive improved customer experiences, cost savings, and new revenue streams.
We’re a growing team of more than 25 employees distributed across the US, with offices in New York and Chicago. Our investors include FinVC, TTV Capital, Motivate Ventures, and Manifold Group, and we have ambitions to become a major player in the future of fintech.
Overview
Our growing Analytics team is looking for our first Data Scientist to join our ranks, who can take on a “full-stack” role in building our data science infrastructure and partnering with other teams to build effective and impactful data science tools, such as our core receipt-to-transaction matching infrastructure and algorithms.
You’ll report to the Director of Product Operations & Analytics, and partner with product, analytics, data ops, and data platform engineering teams to understand key data science needs, develop KPIs, build roadmaps, and create models and deployment infrastructure.
We are searching for someone who is passionate about our mission, has the vision and desire to build from scratch, and can shape and manage a data science roadmap in a quickly growing product organization. The ideal candidate is excited to adapt to the evolving priorities of a growing startup – which may mean writing production-level code for our receipt-to-transaction matching infrastructure one day, while collaborating with data analysts or analytics engineers on key business analytics priorities the next.
What you’ll do
Build and maintain end-to-end modeling pipelines and infrastructure, in partnership with analytics and engineering teamsConduct model experiments and feature engineering to transform raw receipt, merchant, and transaction data into useful, high quality data for modelingDeliver actionable guidance and recommendations to internal product and business stakeholders to help understand nuances of the models built and tactics for improvingBecome the subject matter expert on Banyan’s data matching process, working closely with internal business partners to help customers better understand their dataCollaborate with our data platform team to identify valuable third-party data sources to augment our models
What you bring
4+ years of experience in data science, preferably in a tech company or startupProficient in Python, and the ability to design, develop, and test customized pipeline and predictive modeling toolsExperience developing and owning production-level models using real-world dataProficient in SQL, relational databases, and the modern data stack Experience with applied statistics and predictive modeling, with a structured framework for selecting the right modeling approach, tuning, evaluating model performance, and debugging modeling issuesGood communication skills (written and verbal)Attention to detail and desire for end-to-end ownership of deliverablesSelf-motivated, proactive, and fairly autonomous; comfortable working in a fast-paced environmentCollaborative with a positive attitude, interest in learning, and strong sense of empathy
Bonus points for
Experience or familiarity with entity resolution / record matching, or natural language processingExperience with ETL pipelines, batch/real-time data processing, and dbt or similar toolingFamiliarity with retail media, CPG, or financial transaction data
We recognize that many great applicants will come with differing levels of experience and backgrounds (or may not have worked with the specific tools in our stack), so if you are interested in the role and passionate about our company vision and mission, but feel discouraged because you don’t match all the items, please apply anyway – there’s a good chance you also have important skills we haven’t stated.
Benefits
Competitive salary and equityMedical, dental, and vision insurance plansFlexible vacation policyPaid parental leaveWork-from-home remotely, w/ occasional travel (job-dependent)Option to work semi-regularly in office if located near Chicago, IL or Holmdel, NJ officesLearning and development initiatives & assistance
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BANYAN is an equal opportunity employer and committed to providing employees with a work environment free of discrimination and harassment. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.


Epidemiologist Data Scientist

Kinsa is looking for an Epidemiologist/Data Scientist with a background in public health surveillance, research methods, and health communication to join our data team. This is an exciting and highly visible role, working with the data science team to develop meaningful illness signals and alerting mechanisms, with our product team to share epidemiology subject matter expertise with health plans and directly to users, and with external collaborators to build Kinsa’s research agenda. The right candidate will have deep technical and statistical skills, as well as experience communicating complex topics and results to both general and scientific audiences.

The ideal candidate will be comfortable working cross-functionally with internal and external stakeholders. You thrive working in a scrappy startup environment and know how to balance competing priorities. Most importantly, you’ll have a genuine passion for Kinsa’s mission, and act as a force multiplier as we continue to grow our organization.

Kinsa was founded with a mission to stop infectious illness from spreading by knowing where and when it starts. Our mission has never been more important or more relevant than it is right now. Our real-time map of illness has been featured in the New York Times, on Rachel Maddow, CNBC, FOX News, The Economist, and The Daily Show with Trevor Noah. We are making headlines bringing our Data to the fight. We’ve done this by successfully transforming the first device you grab when sickness strikes - the thermometer - into a sensor to detect when and where illness is rising, and communicate with those who have just fallen ill.

These are a few examples of projects you will likely tackle in this role:

Use statistically robust methods to analyze Kinsa and external data to answer research questions to better understand user population, illness trends, and transmission patterns. Communicate results internally (reports, presentations) and externally (conferences, peer-reviewed journals).
Research and develop illness signals and outbreak detection capabilities using epidemiological methods and principles (ex. applying population weighting techniques to better represent incidence at the population level).
Collaborate with external partners who are conducting research on Kinsa’s data.
Write user-facing blog posts to explain public health concepts and empower users to make informed decisions about their health.
Serve as an infectious disease, statistical, and epidemiological subject matter expert across the organization to ensure accuracy of external communication across verticals.

About you/Core Skills:

MPH/MS in Epidemiology or Biostatistics or equivalent
2+ years of work experience in a setting analyzing population-level health data
Experience conducting research in academic settings, and disseminating research in peer-reviewed publications
Experience performing statistical analyses, such as sample size calculations, mixed model regression, and geospatial analysis.
Strong programming skills in SQL, R and/or Python.
Exceptional science communicator with written and oral skills, with ability to explain complex concepts to a variety of internal and external stakeholders (academic partners, general public, customers)
Track record of solving ambiguous problems and thinking under pressure, both individually and in a multifunctional team environment
Looking for an opportunity to come into a cutting-edge public health company and helping us shape our product offerings.
Experience adapting to a fast-paced environment, juggling multiple priorities and stakeholders

You might also have:

Experience deploying code in a production environment
Experience in health communication, education, or promotion
Prior work focusing on infectious epidemiology in the public sector, healthcare industry and/or early stage company
Experience building forecasting models

About Us:

There are four key characteristics of our team that we hope are traits you have as well:

Be Passionate: The Kinsa team is driven towards a goal that is bigger than themselves, they have a real passion in working toward a solution for a widespread social issue. Our work is stimulating, meaningful and has purpose.

Be Committed: We are committed to our mission. We have a tremendous opportunity in front of us: to change the face of public health and save hundreds of thousands of lives in the process. We are committed to working hard, working smart, working together, and doing what it takes to make a difference. Our time is now.

Be Efficient: We are a startup, and we are proud of our work so far but there is a lot more work to be done. Moving fast is the result of good planning, decision making, and execution.

Be Inclusive: Solving one of the most important public health problems of our time requires a mix of perspectives and approaches, which is why diversity of age, gender identity, race, sexual orientation, physical ability, religious belief and ethnicity are all welcome and greatly valued at Kinsa. We are as proud of our differences as we are of our shared passion for stopping the spread of infectious illness, and are always looking for people with varied viewpoints, skill sets, backgrounds and experiences to realize our mission.


Senior Data Scientist

Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.

Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.

Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!

We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.

Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.

The role
Using data science we are developing a platform to help building owners and managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients.

We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset.

In the Data Science Team We:

Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud
Collaborate with other domains of the business such as DevOps, front- and backend-development teams, sales, and product development
Experiment with new technologies to harness an unparalleled dataset through innovative ideation
Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability

We Look For:

A strong academic background grounded in mathematics and statistics, or equivalent work experience
A fluent level in Python
A self-directing attitude and a growth mindset
Experience innovating new machine-learning products for real-time event-driven applications is desired
Always a preference for the 80% solution in production over the perfect solution on a laptop
A keen interest in product development and awareness of commercial factors
Experience deploying machine learning models in production environments is required

We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but:

❤ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.
🤸 We’re flexible: We encourage remote working and offer flexible working hours before COVID and we’ll keep that flexibility afterward.
📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here
🌟 Improve yourself: We give everyone a day per month to focus on personal development
🧑🏽🤝🧑🏽 Make friends: Everyone here is lovely
🏠 Added bonus: We give everyone options in the company.
🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.

And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.


Data Scientist

Infogrid is helping protect the planet and improve the lives of billions of people by making every building a smart building.

Our goal is to be the global provider for connected devices in smart buildings. We already handle millions of events every day from tens of thousands of sensors and we’d like you to help us scale that by an order of magnitude over the coming months.

Sustainability is at our heart; buildings account for 39% of global carbon emissions and we’re creating real solutions to impact this!

We are still early in our journey but have already achieved a lot; we raised a successful series A funding round, grew 5x in employee numbers within 12 months, and voted one of the top 10 most flexible places to work.

Want to know more about how we'd building Infogrid? Our CTO wrote a blog post about this.

The role
Using data science we are developing a platform to help building owners and managers increase the comfort for occupants of their buildings whilst decreasing their costs and environmental impact. Through both direct sensor readings and inferred, machine learning-based outputs we surface previously unknown or unmeasurable information to offer a holistic picture of buildings and their use. As a result we can offer insights, recommended actions, and predictions to aid planning in a real-time fashion never before possible or practical for reasons both of hardware availability as well as data storage and processing. We innovate at the edge of what can be done in the new era of IoT, and data science is central to the company’s goal of offering ever-more useful insights to our clients.

We maintain strong software development practices at all times and, above all, a mindset focussed on deployment. It is through this culture the data science team ensures its effectiveness and ability to quickly deliver value to our clients. In this way the data science team remains central to all stages of product development from innovation, development and testing, deployment, iteration and ongoing maintenance. We seek those with a strong focus on product development and driving customer value alongside robust software development best practice, mathematical and machine learning focus, management of machine learning deployment, and a growth mindset.

In the Data Science Team We:

Design novel software applications based on sensor inputs and machine learning models from concept through physical experimentation with sensors, to development of software products, to production deployment in the cloud
Collaborate with other domains of the business such as DevOps, front- and backend-development teams, sales, and product development
Experiment with new technologies to harness an unparalleled dataset through innovative ideation
Retain robust software engineering practices at all times with an eye always on long-term maintainability, readability, reliability

We Look For:

A strong academic background grounded in mathematics and statistics, or equivalent work experience
A fluent level in Python
A self-directing attitude and a growth mindset
An interest in innovating new machine-learning products for real-time event-driven applications
Always a preference for the 80% solution in production over the perfect solution on a laptop
A keen interest in product development and awareness of commercial factors
Experience deploying machine learning models in production environments is desired, and an interest in this is essential

We think Infogrid is a great place to work - we’re a recently funded and rapidly growing startup so it’s not perfect but:

❤ Feel good about your work: Infogrid is actively helping big companies reduce their environmental footprint. We also offset everyone’s carbon footprint.
🤸 We’re flexible: We encourage remote working and offer flexible working hours before COVID and we’ll keep that flexibility afterward.
📚 Learn and get promoted: Join us at the start of our journey - we’re growing quickly and believe in promoting from within. You can learn and grow your career here
🌟 Improve yourself: We give everyone a day per month to focus on personal development
🧑🏽🤝🧑🏽 Make friends: Everyone here is lovely
🏠 Added bonus: We give everyone options in the company.
🚀 Join a legitimately secure tech start-up: $15.5M funding round is great of course but more importantly we have real paying customers and a good, growing revenue stream.

And we'll do everything we can to support you during your application. If you need us to make any adjustments to your recruitment process, speak to our recruitment team who will be happy to support you.


Data Scientist

Our mission
The trucking and logistics industry provides the backbone of the economy. But the payments infrastructure on which it runs is broken. For the hard-working men and women of this sector, the existing suite of payment tools is outdated, difficult to use, prone to fraud, and saddled with shady fee structures. The incumbent players in this space often overlook the economic and practical needs of this user base.

We're changing that. AtoB is building Stripe for Transportation — modernizing the payments infrastructure for trucking and logistics. Supply chains rely on the timely movement of capital to function efficiently. Our end game is a world in which that capital movement occurs fairly, smoothly, and without delay. As we pursue that end game, we aim to center our customers in every way — offering them world-class customer experience and building products that work with and around the unique constraints of their daily lives. We build for fleet managers in the office and drivers on the road. We strive for products that are efficient, satisfying, and useful. Our customers enable our modern economy — they deserve it.

Our history and background
Our founding team has backgrounds working on autonomous vehicles at Cruise Automation, leading ops and growth for Uber, engineering at Amazon, building apps that were featured on the Apple app store, working on small business credit at Square & Goldman Sachs, and completing other great projects.

We have raised over $100 million in venture capital from investors such as General Catalyst, Bloomberg Beta, Y Combinator; founders and CEOs of companies like Google (Eric Schmidt), Salesforce (Marc Benioff), Coinbase, DoorDash, Instacart, Mozilla, Wealthfront, Segment, Gusto, Figma; CxOs and founding team members of Uber, PayPal and Stripe; angels like Elad Gil, Naval Ravikant, Gokul Rajaram; and other funds such as Climate Capital, Contrary Capital, Collaborative Fund, Designer Fund, Human Capital, Leadout, XYZ Capital, among others.
We are excited to open up more seats in this rocket ship!

Learn more about our mission, culture, and background on our Careers Page.

About the Role:

We are looking for a customer-centric staff level Data Scientist to join our team.

You will help solve some of AtoB's most challenging business goals, through high-profile work and inspiring thought leadership. You'll get to flex your statistical and machine learning models skills to tackle problems like risk estimation and optimization, anomaly detection, and experimentation design and analysis for new algorithm/feature/product launches. You'll work with leadership and multi-functional partners to solve broader data science problems, create data science vision, and guide the team's direction through data-driven insights and algorithmic thinking.

In this role, you will:

Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
Work closely with multi-functional leads to develop technical vision and drive the team direction.
Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
Provide technical mentorship for engineers and junior data scientists within and outside your team.
Communicate with senior management and multi-functional teams.

About you:

M.S. or Ph.D. degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. Alternatively, a BS with 2 or more years of experience in relevant fields.
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Experience in experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
Experience in algorithm development and prototyping.
Experience in ML tooling such as Airflow, Spark, etc.
Coding proficiency, and ability to develop statistical analysis and prototype algorithms in Python.
Proficiency in SQL, Python, Spark.
Preferred: Experience with productionizing algorithms for real-time systems
Preferred: Deep understanding of Bayesian modeling

Offer Details:

Bay Area compensation offered for all US and Canadian based employees.
We are a remote-first company, though we are open to US and Canada work visa sponsorship.
We offer competitive and comprehensive benefits along with unlimited PTO and 401(K) match.


Senior Data Scientist Risk Operations

About Kraken

As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.

About the role

As a Data Scientist in Risk Operations, you will analyse data related to our clients and their
transactions to determine which signals are indicative of a wide range of fraudulent and risky activities,
including Payment Fraud, Scams, Account Takeover, Account Abuse, First Party Fraud, Phishing and
other threats to the trust and safety of Kraken and our clients. Using the results of this data analysis, you
will drive the development, deployment and monitoring of models that control transactions and other risky
activity on Kraken.com and our mobile apps.

In addition to working with currently available data, you will also identify and recommend additional data
and data sources that enhance the quality of decisions. You will work with the Risk Product Team and
Operations to drive integration of this data into Kraken Risk Systems. You will apply innovative,
entrepreneurial curiosity with technical knowledge, adept problem-solving skills, client insights and
operational insights to develop best in class decision capability to protect clients and stakeholders from
abuse across multiple different products and services. On this team, you're a resourceful, strategic team-
player with a passion for protecting the reputation of our brand.

●Model Development: Develop, deploy and monitor models that drive fraud related decisions
●Champion/Challenger testing: Validate data and model performance against output from
existing models and rules.
●R&D: Test new data, calculations and data sources for improved risk decisions.
●Platform Optimization: Work with Risk Product Management to optimize decision platforms and
related systems.
●Operations Optimization: Work with Client Engagement Team to determine the best scale
outcomes and actions driven by data, rules and model output.
●Business Intelligence & Communication: Devising and build Business Intelligence insights into
data, model and operations performance. Produce and deliver summaries of performance, issues
and gaps to wide range of audiences, including Executives, Product Management, Operations
and Compliance.

Requirements
●Degree in Math, Statistics or Operations Research (advanced degree preferred but relevant work
experience may suffice)
●Proven track record using advanced quantitative and statistical methods and tools to drive high
volume complex decisions at scale.
●Experience in financial services and payments, preferably in quantitative risk analytics with
evolving FinTech or similar environments.
●Experience with and working knowledge of SQL, SAS, R, Mathlab, Python and Machine Learning
tools and techniques.
●Ability to parse and analyze data from large structured and unstructured data sets
●Experience with BI platforms used to monitor and communicate data, model, rule, operations and
business results to a diverse audience.
●Experience working with Product Management and Engineering, preferably in an Agile
environment
●Advanced logical, analytical and critical thinking skills
●Strong attention to detail with a drive to solve problems, investigate issues, and creatively
optimize quantitative, operational and business results.

Nice to Have
●Advanced Degree in quantitative discipline
●Working knowledge of Crypto and related products and service
●Proven high quality communication and persuasive skills
●Experience managing teams responsible for analysis & modelling

We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background.

As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Stay in the know

Follow us on Twitter
Catch up on our blog
Follow us on LinkedIn


Sr Machine Learning Scientist Nlp Expert

Olo is a leading on-demand commerce platform powering the restaurant industry’s digital transformation and personalizing the guest experience to maximize customer lifetime value. Olo customers can build digital experiences with the largest and most flexible restaurant commerce ecosystem on the market.

The machine learning scientist & natural language processing expert we are seeking will be able to build and scale machine learning models to solve the many business problems emerging from Olo’s digital platform and ecosystem, with a focus on the NLP domain. You will maintain Olo’s existing ML applications and work closely with product managers/engineers to develop new features & new algorithm product to transform the restaurant industry.

You can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC on the 82nd floor of One World Trade Center.

What You’ll Be Doing

Work closely with the product team, understand product objectives, translate ambiguous business problems to ML or other advanced analytical solutions
Maintain Olo’s existing NLP applications and develop new features
Stay up to date with new technologies in the field
Own the entire process from data acquisition, feature engineering/selection to model building, training, testing & monitoring
Work with and guide the engineering team to deploy the model
Communicate solutions in a simple, actionable way with a non-technical audience
Support communication with data visualizations

What We’ll Expect From You

MS/PhD degree in Math, Statistics, Computer Science, Operations Research or any other quantitative discipline
5+ years of real-world predictive modeling experience and 2+ years of hands-on experience in designing and developing enterprise-scale NLP solutions
Experience in setting up NLP models including data cleansing, feature extraction, model selection & ensemble methods, performance metrics & visualization
Hands on experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN)
Proficient understanding of the complexity of developing and productizing real-world AI/ML applications such as prediction, recommendation, sentiment analysis, etc.
Deep knowledge of popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2O etc
Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Stanford CoreNLP
Strong programming skills, preferably in Python
Ability to work independently in a fast-paced work environment
Communication skills with the ability to convey the message in business terms, highlight the business impact and opportunity, and correctly call out the right call to action
US citizen or Permanent Resident

Nice to Have

Providing active hands-on architectural guidance and leadership through the entire lifecycle of development projects
Experience in building modern ML platforms a big plus
Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Kubernetes etc)

About Olo

Olo powers digital ordering and delivery programs that connect restaurant brands to the on-demand world, placing orders directly into the restaurant through all order origination points – from a brand’s own website or app, third party marketplaces, social media platforms, smart speakers, and home assistants. Olo serves as the on-demand ordering and delivery platform for over 300 brands, such as Applebee’s, Checkers & Rally’s, Cheesecake Factory, Chili’s, Dairy Queen, Denny’s, Five Guys Burgers & Fries, Jamba Juice, Noodles & Company, Portillo’s Hot Dogs, Shake Shack, sweetgreen, Wingstop, and more. Learn more at www.olo.com.

Olo is located on the 82nd floor of One World Trade Center.  We offer great benefits, such as 20 days of Paid Time Off, fully paid health, dental and vision care premiums, stock options, a generous parental leave plan, and perks like FitBits, rotating craft beers on tap in our kitchen, and food events featuring our clients' menu items (now you know why we give out FitBits!). Check out our culture map:https://www.olo.com/images/culture.jpg.

We encourage you to apply!

Olo is an equal opportunity employer and diversity is highly valued at our company. All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.

If you like what you read, hear, and/or know about Olo, and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you!


Full Stack Data Scientist

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

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

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

What You Will Do

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

Experience We Want To See

You should have at least a few years of demonstrated paid, professional experience building and shipping data models for commercial software products.
You should have deep database skills including querying data and data structure manipulation.
Strong data analytics skills including adjusting data for bias, understanding various statistical modeling techniques and performing research/asking probing questions.
You know how to write code that is ready for production (Python and Ruby preferred)
You’ve owned projects from start to finish and know how to work cross functionally to produce rough timelines and project deliverables.
Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets

About Sensor Tower

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

Why Sensor Tower?

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

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

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

#LI-Remote


Senior Data Scientist Product Analytics Marketing Loyalty

Pizza is at the heart of our communities. From birthday parties to gameday potlucks, life’s special moments are bettered by the craftsmanship and tradition found behind local pizzerias’ counters. We’re here to make sure these iconic small businesses serve our communities for generations to come by giving them the digital tools and services commonly found at big chains. Can you imagine what a small mom and pop pizza shop could achieve with the resources of Domino’s?
The Role
Data at Slice is a centralized group reporting directly to our CEO and founder.
As we scale and grow our organization and capabilities, we are looking for a very strategic, result-driven Senior Product Analyst/Data Scientist who can provide data-driven insights to our leadership and executive team.
You will work on data science and product analytics projects to inform and influence the company’s strategic direction by performing original analyses and consolidating existing analyses into a cohesive story.
What you'll do:

Work closely with the Marketing and Business teams to build and execute a data-driven product roadmap
Define metrics and success criteria for new and existing company initiatives
Work cross functionally with the Finance, Go To Market, and Product teams to drive roadmaps and inform key strategic decisions
Define metrics and utilize dashboards to measure the health of our initiatives
Identify and clearly communicate actionable insights for cross functional stakeholders
Advocate for data-informed decision making and continue to build an insights-driven culture at Slice
Collaborate with Data Engineering to design and develop reliable data pipelines that help answer business questions

What we are looking for:

MSc in a technical or quantitative subject (Computer Science, Engineering, Statistics, etc.)
3+ years of total experience in a highly quantitative role
2+ years of experience as a data scientist
Working experience in statistics, experiment design and evaluation
Experience in the modern data analysis stack, including Python and SQL (R knowledge optional)
Impeccable communication skills and ability to share complex, uncertain results to an executive audience

It will be a bonus if you:

Have analytics experience working on loyalty, customer retention or marketing initiatives

About Slice:
Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.
Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 700+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC
Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.


Data Scientist

HOW TO APPLY
Attach your RESUME/ Linkedin URL AND the TASK in the 'Apply for this Job' section below and then click 'Submit Application'.
(BOTH submissions are required for application to be complete.)
TASK: SQL: Calculate Retention Metrics

ABOUT THE ROLE
Khan Academy is looking for an experienced data scientist to join our growing team. This role will partner with our India schools team to drive engagement with our product and improve student outcomes. We are looking for curious, passionate individuals who can apply their strong technical skills to mine for insights across our rich datasets, and work collaboratively across the organisation to drive critical strategic decisions. This role will report to our Principal Data Scientist.
In this role you will:

Identify and measure success of our school team’s initiatives through goal setting, forecasting, monitoring and ongoing analysis of core outcome metrics.
Perform advanced exploratory analyses on large sets of data to extract insights about our teacher & learner behaviour and guide our decisions around investments and initiatives.
Work with our engineering teams to improve the tools and datasets and work self-sufficiently with data pipelines (e.g. ETLs) on an as-needed basis.
Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of various programs and interventions.
Contribute to development of analytics tools and data applications to enhance data access for the schools success team.
Collaborate with efficacy researchers to provide curated datasets and/or dashboards for measuring learner outcomes

ABOUT YOU
You are someone with:

A passion for education and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
3+ years experience in data science or analytics
Strong SQL foundations & ability to manipulate data using Python (preferred) or R. We are SQL and spreadsheets heavy
Strong data storytelling, visualization and communication abilities; prior experience developing BI tools is a plus
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Prior experience with the end-to-end analytics chain is a nice to have (e.g. data modeling & ETL, BI tool development)
Flexibility to travel to New Delhi

ABOUT KHAN ACADEMY
Khan Academy is a fast-paced, nonprofit startup on a mission to provide a free, world-class education for anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of world-class instructional and practice resources that empowers learners. Whether they’re studying matrices, mitosis, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.
ABOUT KHAN ACADEMY INDIA
Khan Academy India aims to deliver a world class user experience that is locally relevant to learners in India and is enabled by a strong on-the-ground team and operations. Our learning system is mastery based, which allows students to master key concepts at a pace that is right for them before moving on to more challenging content. From serving under 500,000 learners in 2016, we are now serving almost 4 million learners a month across our websites, apps and youtube channels. These learners include both independent learners accessing us at home and teacher directed learners in schools. Our focus is to reach the underserved by making our content  accessible in local languages and by working with large public school systems. Khan Academy is available in Hindi, Hinglish, Kannada, Gujarati, Bangla, Tamil and Punjabi.

PERKS AND BENEFITS
We may be a non-profit, but we reward our talented team like a for-profit.

Competitive salaries
Remote-friendly workplace, i.e. option to work from home; Flexible schedules
Health and wellness benefits
Professional development focus
Paid time off and parental leave

Fun virtual events

LEARN MORE

Sal’s TED talk from 2011
Sal’s TED talk from 2015

A glimpse of our team:  http://www.khanacademy.org/about/the-team

A glimpse of our content created: https://www.youtube.com/watch?v=ED8P8vchQJM

Our Hinglish content in action: http://bit.ly/khanacademyyoutube

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.


Data Science Intern Product Analytics Search Browse

About thredUP

thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

About Our Internship Program

As a thredUP summer intern, you will be given a firsthand glimpse at what it’s like to work at the world’s largest fashion resale platform. During the 10 week program, you will tackle projects alongside our world-class team, with the opportunity to make a real impact on thredUP’s business.

Our paid internships are ideal for ambitious students or recent grads who thrive in ambiguity, like a good challenge, and want a jump start on their career development. Oh, and who want to help inspire a new generation of consumers to think secondhand first!

About The Internship

As a data science intern on the search & browse teams you will influence the product roadmap for search and browse, help to create superior UX for online thrifters, and learn about challenges in optimizing inventory discovery on the e-commerce platform. You will work cross-functionally with product managers, software engineers, and data engineers to derive insights from the data describing users’ online behavior; design, monitor, report, and help make decisions for A/B tests focused on product improvements; and run exploratory data analysis under the guidance of members of the data science team.

What We're Looking For

An ideal candidate is a good communicator, curious about e-commerce and interested in deriving unique insights about users’ online experience using ambiguous data. Knowledge of statistics, SQL and Python will help the candidate achieve success in this role. We are looking for someone who is currently enrolled as an undergraduate or graduate student or is a recent grad from an academic program or data science bootcamp. We are looking for candidates interested in doing a remote internship and living in EST timezone to have overlapping working hours with thredUP international data science team in Europe.

What We Offer
At thredUP, we value infinite learning. As an intern you’ll have the opportunity to learn about our forward-thinking business and collaborate with our talented team.

We also believe that each person should help drive the business. As an intern, you’ll be encouraged to speakUP, think big, ask questions and seek the truth, and help influence outcomes for our business and customers.

You’ll have the opportunity to work with passionate and supportive team members who encourage new ideas, feedback and collaboration.

We have a talented leadership team that encourages transparency and they will support you in maximizing your internship experience.

We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.


Data Science Intern Inventory Optimization

About thredUP

thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

About Our Internship Program

As a thredUP summer intern, you will be given a firsthand glimpse at what it’s like to work at the world’s largest fashion resale platform. During the 10 week program, you will tackle projects alongside our world-class team, with the opportunity to make a real impact on thredUP’s business.

Our paid internships are ideal for ambitious students or recent grads who thrive in ambiguity, like a good challenge, and want a jump start on their career development. Oh, and who want to help inspire a new generation of consumers to think secondhand first!

About The Internship

As a Data Science intern on the Inventory Optimization team, you will work on challenging problems related to pricing assortment,  inventory flow, and play a role in managing our complex, multi-sided marketplace. You will work cross-functionally with data scientists, product managers, ML engineers, and other business stakeholders to derive insights from complex data, create data visualizations, and model inventory dynamics. If you get excited about data-driven decision making and want to contribute to thrift culture, we’d love to hear from you.

What We're Looking For

An ideal candidate is a good communicator, curious about e-commerce, and comfortable working with messy data. Knowledge of fundamental statistics and prior experience working with SQL and Python will definitely help you in this role. We are looking for someone who is currently enrolled as an undergraduate or graduate student or is a recent grad from an academic program or data science bootcamp. You will have the option to do the internship in a hybrid fashion (part remote/part in-office at our Oakland HQ), or fully remote.

What We Offer
At thredUP, we value infinite learning. As an intern you’ll have the opportunity to learn about our forward-thinking business and collaborate with our talented team.

We also believe that each person should help drive the business. As an intern, you’ll be encouraged to speakUP, think big, ask questions and seek the truth, and help influence outcomes for our business and customers.

You’ll have the opportunity to work with passionate and supportive team members who encourage new ideas, feedback and collaboration.

We have a talented leadership team that encourages transparency and they will support you in maximizing your internship experience.

We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.


Data Science Intern Product Analytics

About thredUP

thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

About Our Internship Program

As a thredUP summer intern, you will be given a firsthand glimpse at what it’s like to work at the world’s largest fashion resale platform. During the 10 week program, you will tackle projects alongside our world-class team, with the opportunity to make a real impact on thredUP’s business.

Our paid internships are ideal for ambitious students or recent grads who thrive in ambiguity, like a good challenge, and want a jump start on their career development. Oh, and who want to help inspire a new generation of consumers to think secondhand first!

About The Internship

As a Data Science intern in the Product Analytics space, you will add value to thredUP’s Product org and influence the Product roadmap. Our Product org is made up of teams working on exciting problems such as, “How do we knock the new customer experience out of the park?” and “How do we make it simple for customers to browse our best deals?” to name just a couple. You will work cross-functionally with Product Managers and other business stakeholders to derive insights from complex data, create data visualizations and dashboards, help design and analyze A/B tests, build models, and work on special projects under the guidance of members of the Data Science team.

What We're Looking For

An ideal candidate is curious about the many different facets of product analytics, isn’t afraid of messy data or ambiguity, and is a good communicator. You will thrive in this role if you have some previous experience with SQL and Python and have a solid background in statistics. We are looking for someone who is currently enrolled as an undergraduate or graduate student or is a recent grad from an academic program or data science bootcamp. You will have the option todo the internship in a hybrid fashion (part remote / part in-office at our Oakland HQ), or fully remote.

What We Offer
At thredUP, we value infinite learning. As an intern you’ll have the opportunity to learn about our forward-thinking business and collaborate with our talented team.

We also believe that each person should help drive the business. As an intern, you’ll be encouraged to speakUP, think big, ask questions and seek the truth, and help influence outcomes for our business and customers.

You’ll have the opportunity to work with passionate and supportive team members who encourage new ideas, feedback and collaboration.

We have a talented leadership team that encourages transparency and they will support you in maximizing your internship experience.

We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.


Data Scientist

About thredUP:

thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.

How you will make an impact

At thredUP, our mission is to inspire a new generation to think secondhand first, and data is critical to our success. We are seeking a curious and creative data scientist to join our team to drive critical business decisions company-wide. You will be working with a highly interdisciplinary team of data scientists, software engineers, product managers, and marketers. This role will involve building and refining the algorithms that drive our growth, deriving insights from our wealth of customer and inventory data, and partnering with our business and product teams to evolve and grow the thredUP marketplace.

In This Role You'll Get To:

Implement end-to-end algorithmic solutions to drive marketing and product decisions
Advance our retention efforts by providing customer-first insights
Design, configure, and analyze experiments that drive business growth
Uncover insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings
Participate in our knowledge-sharing culture by spreading best practices and learnings from prior experiences, helping the entire team level up
Improve our data systems and tooling to continually increase our analysis efficiency and data access across the company
Work with other engineers and data scientists to design, code, and deploy data science and machine learning solutions across the product and business landscape

What We're Looking For:

3 or more years of demonstrated ability as part of a data science, product analytics, machine learning, or software development team
Ability to effectively work with business and product leads; strong cross-functional communication skills that help push projects forward and encourage the development of new collaborations
Innate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truth
Well-rounded skill set in statistics, machine learning, software development, and project management
Advanced knowledge of SQL and Python, and experience writing code in a collaborative environment
Prior experience working with marketplaces and/or a relevant background in economics or operations research is a plus

What We Offer:
- 4-day work week with Fridays off
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- Paid Sabbatical after 3 years of full time employment
- Generous paid parental leave for new mothers and fathers
- Medical, dental, vision, 401k, life and disability insurance offered
- We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
- Voted “50 Most Innovative Companies of 2020”
- RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021
- 2021 FORTUNE Change the World Finalist

We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.


Senior Data Analyst Scientist

At Domestika we are hiring a Senior Data Analyst/Scientist - Remote - Time Zone GMT, GMT +1 and GMT +2.
Would you like to join the team that keeps improving the learning experience and engagement in our creative Community?
At Domestika, we are creating an environment where data analysis is a driving force for our decisions and strategies. In our organization, our Analysts work closely with decision-makers to create and measure real impact.
Where will you land?
You will join our newly created Product Data team and collaborate on adapting your workplace and toolset. As a Senior Data Analyst/Scientist, you will work with Data every day, finding ways to interpret it so that it makes sense for our users.
What do we expect from you:
We are looking for people that can explain the insights and communicate them effectively.  We believe in a Senior Analyst/Scientist as somebody that has good technical skills to work with SQL queries and Python notebooks.
Either during or after performing those technical tasks, the Senior Analyst/Scientist will expose its findings to second opinions and peer review and will humbly accept all the ideas that can drive to a better understanding and impact.
After this is done we want you to translate those results into insights and answers (even if there’s none) to whoever asked him, iterate on further questions, propose further research and improvements on the data we’re gathering, the processes we follow or anything you think it can help improve our efforts.
Who will you be working with:
You’ll not be alone, there’s an amazing team of Data Engineers that have built a great data stack and will help you in finding, extracting and cleaning the data you need. Whenever you need to automate or move something outside of the data laboratory, they can help you.
On the other side, you will drive impact by virtually sitting next to our business users and helping them to understand anything they need.
For your day-to-day life, a Lead Data Analyst will help you on connecting the dots: who to talk with, what are the top priorities, your duties as part of the Product Data team, and whatever it takes you to work at your best.
What can help you to reach those goals:
We are particularly interested in profiles with proven experience in the following areas/topics:
A/B testing (experimentation) and/or causal inference applicable to product management.E-learning environments and communities of practice/interest.E-commerce sites.
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses.It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other.Inspired by their thriving community, Domestika widened its reach by producing online courses for anyone interested in unleashing their creative potential and connecting with like-minded creatives from around the world.Domestika carefully curates the teacher roster and produces all the courses in-house, to ensure a high-quality online learning experience for everyone. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Responsibilities:
To wrap up all mentioned above:
Conduct and communicate Data Analysis for product stakeholders (Product Owners, Directors).Help define performance measurements such as metrics, KPIs or OKRs.Define event tracking (telemetry) following guidelines and good practices.Monitor the key metrics to spot any anomaly that could be affecting our service.Help define, design, estimate and monitor A/B tests for your assigned product teams.Create charts and dashboards that synthesize.Share with your peers all the relevant learnings, tools and hard skills you’ve got.Keep up-to-date data documentation that can be used by your stakeholders.Establish and promote the Data Analysis peer-review process.Promote and expand whenever possible the data culture.Explain, train and empower the business stakeholders to make data-driven decisions.Efficiently communicate with stakeholders to deliver impactful insights.Co-own analytical tools such as Periscope, Amplitude, Google Analytics.Proactively improve team delivery.
Requirements:
6+ years of experience as a Data Analyst preferably in a digital company, consumer apps.Track record of leading analytical projects.Ability to read and write complex SQL.Ability to write Python code in order to handle data analyses (pandas, numpy, matplotlib, seaborn, plotly, scikit-learn, XGBoost or similar), but the more the better.Strong organizational skills, attention to detail, and ability to effectively manage projects supporting multiple business partners.Preferably, a Math/Statistics/Physics/Comp SCI degree or equivalent.Based within the European time zone.English required at Full professional proficiency.
Would be a plus:
Familiarity with Analytics and Business Intelligence platforms - Periscope, Amplitude, Mixpanel, Google Analytics, etc.Experience in defining tracking events and tagging for Analytics.Ability to work independently, take the initiative, and have a high level of ownership.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.


Senior Data Analyst Data Scientist Ua

At Domestika we are hiring a Senior Data Analyst/Scientist to work closely with the UA team!
Domestika is the fastest-growing creative community where the best creative experts share their knowledge and skills through professionally produced online courses. It all started as an online forum and a small but dynamic showcase of creative professionals, designed to help them connect and learn from each other. Today, the online community is home to over 6 million people from around the world who are curious and passionate about learning new creative skills.
Team
Data:
The data team partners with all parts of the business to aid decision-making and define measurement frameworks across Domestika. This position is part of Growth Analytics, reporting to the Director of Growth Analytics. You will also work closely with others in the data group such Product Analytics & Data Engineering.
UA:
The UA / Performance Marketing team is responsible for setting & optimizing the acquisition strategy on all Domestika products. It is part of the larger Growth group reporting to the CMO.
Projects
All Analysts in Domestika have their feet in two worlds. On the one hand they must be technical leaders who have the skills to extract, analyze, and visualize data. On the other hand they are partners for their functional teams to measure, support and challenge decision making and strategy.
For this position, some of the specific projects and areas for exploration will include:
- How can we automate and optimize our marketing activities?
- How can we predict the profitability of our campaigns?
- How can we measure the incremental value of other channels like SEO, Social Media?
- How can we model and measure the interaction effects of multi-channel marketing?Requirements
High level of SQL. You are comfortable navigating raw data and creating aggregate tables. You are comfortable doing this autonomously, but asking for help on occasion from your peers is more than ok. Basic select queries are something you can do with your eyes closed once you are comfortable with the data. You have used window functions to do more complex analyses, but if not, are happy to learn.
Prediction & Attribution Knowledge. You have worked on problems that involve prediction or attribution problems. You can comfortably use Python/R to build a basic prediction or forecasting model, and also understand how to build optimization algorithms in a marketing context. You understand the fundamentals of attribution within marketing and the challenges around indirect measurement, and have some ideas on how to handle this.
Visualization of analysis, reporting, & models. You have used one or more of the popular visualization tools, like Tableau, Looker, or others. In any case, you are able & motivated to pick up new tools, and understand what makes a useful visualization. You have no issue creating quick charts in Excel / Google Sheets to share quick analysis, but at the same time understand the consultation process that comes with building longer lasting dashboards. You much prefer to build something that people will use for a long time, than something that will only be used for a specific analysis.
Measurement & Testing Analysis. You understand well the principles of measurement, statistics, and typical user behavior related to pricing & marketing. With all of these, you are equipped to consult on how best to measure the effect of changes, or strategies, and in turn how to improve them. AB testing digital products, in general, is something you have some experience with, but you are also aware of measurement frameworks that don’t necessarily involve formal testing, like attribution, causal impact, or regression.
Curiosity & Creativity. Data at Domestika is not a service function. We are creative partners who solve problems and consult on all areas of the business. You should be ready to challenge, to analyze, to improve, to optimize, and to recommend. At the same time, you are humble, collaborative, and driven ultimately by the motivation to make Domestika an amazing experience for our users, and an amazing place to work for your friends and colleagues.
Ownership & Product / Project Management. Seniority at Domestika is not about years of experience, it is about autonomy and impact. In this position, you will need to demonstrate ownership and leadership in your area. This means identifying opportunities, scoping and defining projects, prioritizing them, and ultimately managing and being responsible for their success.
Bonus Skills:
You have experience and/or passion for education technology,  learning platforms, or digital-first consumer industries like mobile apps, gaming.You are fascinated by human behavior, with some expertise in fields like behavioral psychology, microeconomics, or neuroscience.More advanced skills in machine learning & programming, working with APIs, or data modeling & engineering experience.
What do we offer?
Working in one of the leading companies in the creative industry.A fun, creative, collaborative, and multicultural team.Domestika pro-account to have access to all of our courses for free.Possibility to work remotely.Private health insurance.A salary according to your experience and profile.