Principal Data Scientist

Best Egg is a consumer financial technology platform that aims to help people feel more confident about their everyday finances through a suite of products and resources. Our digital financial platform offers simple, accessible, and personalized financial solutions including personal loans, credit cards, and a financial health resource center.

Our culture and values are one of the core reasons why our customers keep returning to Best Egg. We are committed to championing a culture of inclusiveness and diversity of thought, and we focus on providing a safe, flexible, and collaborative work environment. Our associates are encouraged to engage in creative problem solving, and we promote opportunities for growth and enrichment across the organization.

If you are inspired by inspiring others, Best Egg is the place for you.

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

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

Be a part of a growing team with a collaborative group of skilled Data Scientists and MLOps Engineers working at the cutting edge within our industry and constantly advancing our AI/ML practices for on/off line production-grade tools. Our Data Science team is dedicated to power the business with projects across credit risk, financial health, KYC/fraud, marketing, operations, servicing and many more! We have a direct engagement model between data scientists and business stakeholders.

Duties& Responsibilities

Responsible for leading AI innovations/tools to create values through Deep Learning, NLP, Graphs and more supporting business functions.
Set vision, educate and evangelize use cases of advanced analytics and data science application.
Access a deep set of application, bureau, web, and alternative data to gain insights and convert these insights into actionable strategies and tools.
Play with end-to-end AI/ML pipelines including data extraction, feature engineering, model building, performance evaluation and implementation.
Liaise with MLOps and technology teams to build capabilities and infrastructure.
Liaise with data team to identify opportunities in new and/or alternative data sources.
Take ownership of a rich library of AI/ML tools and enjoy authority to continue to research efficient and effective strategies.
Stay  concurrent with the cutting edge and bleeding edge of NLP/ML/DL algorithms, methodologies in the open source community and vendor solutions.

Requirements

You should have a Master or PhD in quantitative fields, preferably Math, Physics, Statistics, Engineering, Computer Science or Data Science.
You should have a solid foundational understanding and hands-on experience of the technical aspects of Data Science – statistics,      experimental designs, AI/ML techniques, and big data query/manipulation (structured and un-structured).
Fluency in Python, SQL, Git. Proficiency in deep learning frameworks like Tensorflow and Keras.
Must have hands-on experience in NLP, recommender system, network graph, marketing mix/attribution, computational advertising, or computer vision/voice processing
Experience with adaptive models is a plus.
Experience with design, implementation and governance with Artificial Intelligence, Natural Language Processing or Machine      Learning Architecture is a plus
You should have deep understanding of the business dynamics; and proactively lead/conduct exploratory data analyses and      experimental designs.
You should have strong communication and influential skills necessary to ensure high synergy and alignment with other business      functions.
You should be a team- and result-oriented, and self-driven superstar with minimal supervision, as well as open-minded and strategic thinker.

Our Brand:

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

Employee Benefits
Best Egg offers many additional benefits for our employees, including (but not limited to):
·       Pre-tax and post-tax retirement savings plans with a competitive company matching
         program
·       Generous paid time-off plans including vacation, personal/sick time, paid short--
        term and long-term disability leaves, paid parental leave, and paid company
        holidays
·       Multiple health care plans to choose from, including dental and vision options
·       Flexible Spending Plans for Health Care, Dependent Care, and Health
        Reimbursement Accounts
·       Company-paid benefits such as life insurance, wellness platforms, employee
        assistance programs, and Health Advocate programs
·       Other great discounted benefits include identity theft protection, pet insurance,
         fitness center reimbursements, and many more!


Full Stack Data Scientist

About Veho

Veho is a technology-driven shipping company that enables personalized next-day package delivery, extending partner brand value. Veho brand partners have seen a 20% increase in customer repurchase, 40% increase in customer lifetime value, and 8% rise in net promoter score.

Veho gives package recipients greater insight and control, letting them know when they will receive their package, when drivers are en route, and enables real-time rescheduling, address changes, and personal delivery instructions. Veho's technology matches demand for package delivery with a network of qualified crowdsourced driver partners, ensuring every package is delivered on time and correctly.

The concept for Veho started as a school project while co-founder Itamar Zur attended Harvard Business School. Zur constantly experienced issues receiving packages - from getting the dreaded “we missed you” note, to stolen packages. He set out to fix the problem so many customers and brands face.

Today, Veho’s robust technology platform provides customers and e-commerce brands with an unparalleled shipping experience, an industry record 99.9% average on-time performance for next-day delivery and an average 4.9-star customer rating. With teammates in 30 U.S. states, Veho will be in 50 markets by the end of 2022.

As a Full-Stack Data Scientist, you’ll be directly embedded in a team of talented software engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.

Responsibilities Include:

Understanding business context and gathering requirements
Building and iterating on models to meet requirements using Python or some other language
Building and iterating on data pipelines to feed analysis and productized models
Integrating models into production systems using MLOps best practices
Ensuring data quality and data integrity through best practices in data integration
Analyzing impact and effectiveness of models in production systems

What You Bring:

Bachelor’s Degree plus 5 years of experience in data science or data engineering, or Master’s Degree plus 3 years in data science or data engineering
Basic understanding of statistical techniques like k-means clustering, regression, or decision trees
At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 1 year of experience working with AWS and its data engineering and data science tools
Experience with vehicle routing problems or logistics is nice to have, but not required

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.  Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.


Data Scientist Marketplace

OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. OpenSea is an open, inclusive web3 platform, where individuals can come to explore NFTs and connect with each other to purchase and sell NFTs. At OpenSea, we're excited about building a platform that supports a brand new economy based on true digital ownership and are proud to be recognized as  Y Combinator's #4 ranked top private company.

When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. To help facilitate this, we support remote, hybrid or onsite work at either New York City, San Francisco or the Silicon Valley for the majority of our opportunities.

OpenSea is looking for entrepreneurial Data Scientists to be founding members of our Marketplace Analytics team. They will work closely with the Marketplace Product & Engineering team to build a best-in-class system to optimize orders, match them, and offer them in a way that helps our buyers, creators, and sellers all achieve their goals while maintaining strong customer outcomes.

The ideal candidate will be deeply passionate about data & crypto and have a desire to deploy pioneering solutions against large scale problems. We are seeking candidates who are excited about wearing multiple hats and working closely with engineering and product to bring real solutions to market on fast timeframes, rapidly iterating from imperfect MVP through experimentation and development.

What You'll Do

Develop a deep understanding of OpenSea’s business and the larger NFT marketplace and leverage your experience to align our problems with the industry’s best solutions
Build and improve the optimization engines and predictive models that balance supply and demand in our marketplace, across all verticals and chains
Own these algorithms’ performance in production and continually evolve these services to deliver better outcomes over time
Model and forecast demand and supply to help us focus our efforts at building the most efficient, trusted NFT marketplace
Be able to forecast these for different consumer segments and verticals so we can have the most performant view of the market
Help increase the speed and confidence at which OpenSea can make and execute on data-driven decisions through the development of simulation, experimentation, and testing environments
Work with Business teams to continuously refine and improve the systems to cater to ever-changing OpenSea needs

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Desired Skills

5+ years of experience in data science, with a strong quantitative background and specific experience in: modeling programmatic buying exchanges; and/or forecasting for traditional marketplaces; and/or consumer product classification; and/or personalization and recommendation systems
Experience in SQL, Python, Airflow, Mode, and Spark
Experience communicating effectively up, down, and sideways across the company, with thoughtfulness around optimizing asynchronous communication and tailoring communication to different preferred styles
Strong cross-functional skills and ability to operate under ambiguous and fast moving problem spaces
Humility, humor, curiosity, resourcefulness and a relentless drive to grow and learn

Nice to Have

Experience with Dune Analytics, Nansen or other web3 analytics tools like Nansen
Web3 experience, a love for the community, and/or a degen portfolio


Staff Data Scientist

We didn’t create Bold Penguin because commercial insurance is broken. It isn’t. But as the world has gotten more connected and digitized, commercial insurance lags — creating a fragmented landscape where businesses, agents, and insurance companies struggle to interact in a smooth and easy way. That’s why we’ve built a highly efficient exchange that cuts the friction out of commercial insurance by connecting everyone to the right quote in record time.

Powering the world of insurance is no small feat, so we’ve built a team that's incredibly talented and passionate about our potential to upgrade the entire industry. As more and more companies, big and small, depend on our technology to operate in the commercial insurance space, we’ll need the best talent all around to support our growth. That’s why we’re looking at you (yes, you!) to make a bold move and join our adventure.

YOUR ROLE Bold Penguin is seeking a Staff Data Scientist who will be responsible for the end-to-end development of models using various modeling approaches ranging from statistical techniques, to machine learning and deep learning. This includes taking high-level business challenges, translating them into a concrete quantitative framework, and shepherding solutions from R&D into production.

WHAT YOU'LL DO

Work with Data Analysts to understand business problems and break them into components suitable for data science.
Identify and design training data with Data Analyst and present the benchmarks of models for the Staff Data Scientist to review.
Work with data science tools, e.g. SageMaker, ML Flow, Tensorflow, Python, Spark, SQL, etc. to build data models to quickly iterate on research ideas.
Identify areas of improvement in models, methods and data and continually iterate and improve them.
Work with Data Analysts and Data Engineers to get models into production at light speed!

SKILLS AND QUALIFICATIONS

Hands on experience building and validating statistical and machine learning methods to real world problems.
Strong programming skills with experience using modern packages in Python, and platforms like SageMaker, TensorFlow & MLFlow.
Must have hands on experience in “best in class” Natural Language Processing libraries (BERT, Ulmfit, Spacy etc).
Must have a graduate degree in Mathematics, Science or Computer Science/Engineering.

Bonus Qualifications
Bonus points for Insurtech background or commercial insurance experience!Must have at least 6 years experience working as a data scientist  working in a super fast, highly iterative and highly collaborative team

2022 BOLD BENEFITS include, but are not limited to:
Medical, Dental, and Vision
Disability and Life Benefits
401K with a company match
Employee Assistance Program (EAP with 9 free sessions)
Parental Leave
Unlimited Vacation for Applicable Roles & Paid Time Off for all

Expanded Holiday Schedule - All Bold Penguin employees will have 9 paid holidays going forward.

Gatherings on the Glacier: A social hour for fun only.

Zoom-Free Zones: Bold Penguin is providing you time to focus and not be on calls.

Bold Weekends: You have "Optional Fridays" on identified dates communicated between Memorial and Labor Day weekends.

Remote Culture. Moving to Columbus is not an option? No problem. We're happy to discuss remote work options. Here at Bold Penguin our remote employees are top of mind, and we have created an inclusive, engaging remote environment.

Choose-your-own gear. Whether you prefer Mac, PC, or Linux, one screen or three, we’ll set you up for success.

Stay connected to the Glacier. We slack. A lot. We also like to video conference regularly. We even have all- hands "Waddles" held Tuesday & Thursday 12:00 PM ET.

Penguin bling. Like swag themed after a certain Antarctic bird? Just. You. Wait.

Bold Penguin believes in inclusion. That’s why we’re proud to be an equal opportunity employer that considers all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, beak size, or inability to fly.

To learn more about our results-focused culture and employee-focused perks, read more on our careers page.


Senior Data Scientist

Who are we?
Postclick is the world's leading solution for digital advertising conversions. We blend personalization, optimization, machine learning, and human insight to guarantee marketers higher conversions.
We are innovators reshaping the digital marketing space. We champion big ideas, embrace cross-functional collaboration, and invite bold thinkers from all over the world to be a part of our teams. We bring passion to our roles, cultivate diverse perspectives, and never stop striving for powerful results. Informed by a decade of conversion data, our advertising conversion cloud creates personalized connections between brands and their customers. Like us, our technology is always in pursuit of better ways.
If you are excited to be part of this vision, read on!
About you
You thrive in your work and you want to be a part of an extraordinary team. You believe in having a diverse and inclusive culture that thinks big, moves fast, and cares about disrupting.
Primary areas of responsibility

You will work alongside talented engineers, product managers, scrum masters, and visual designers across several countries, on a young codebase, built with modern technology stacks and best practices
Day to day you will work in a Machine Learning team with a tech lead (and team manager), data engineers, peer data scientists and a product manager
Actively and constructively give and receive feedback to drive team success; you communicate where people stand honestly and sensitively
Support project completion amidst adversity with a positive attitude; able to shift in a quickly changing environment
Be a technical expert and your teammates and stakeholders learn from you
Participate in the strategy, planning, and execution of your team’s technology roadmap & OKR’s
Ensure technology standards and best practices are met
Translate status, needs and gaps upward to Software and Technology leadership to drive productivity and departmental goal achievement
Work with leadership to ensure a unified culture

Requirements

Graduate degree or equivalent experience
6+ years of working in Data Science, Analytics or Software Development
4+ years writing robust code in Python, Scala or an equivalent modern programming language
2+ years working in Data Science and Machine Learning teams
You have expert knowledge of statistics and AI/ML fundamentals
Prior experience with SQL/NoSQL databases and using SQL language
You have good knowledge of Python and its major data science libraries Experience working in a rapidly moving environment
Passionate about building efficient solutions to complex business problems, you step forward to lead and tackle challenging assignments
Able to break high-level business requirements into technical requirements in order to align with your product identities long term vision and alter the vision as needed as business needs evolve

Industry-leading benefits:

15 Days standard PTO
10 Paid U.S. holidays
12 Mental health PTO days
Generous monthly WFH Stipend and office set up allowance
Full health benefits (medical, dental, vision, sick leave) and 401(K)
Flexible work hours and a hybrid WFO/WFH/Remote culture
Top-of-the-line technology
Professional growth/continuing education

Next Steps
We are an equal opportunity employer searching for exceptional talent of diverse backgrounds, experiences, abilities, and perspectives. We are here to support every candidate and provide reasonable accommodations to help you apply, if needed.
If you’ve made it this far, we hope you’re as excited as we are about finding out if we’re a good fit for each other, let’s talk.


Senior Data Scientist Ads Marketplace Analytics

We are looking for a Senior level Data Scientist to work with our Ads product team. You will partner closely with cross functional team leaders such as GPMs, EMs and leadership in utilizing data to drive decision making.  In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Marketplace strategy in a data driven manner.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a data scientist on the ads data science team, you’ll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Reddit sits in a unique place, where there are still a lot of low hanging fruit that will immediately impact millions of users and thousands of advertisers.
What You’ll Learn:

You will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company.  You’ll play a key role in developing Ads product strategy and experiments. You’ll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Reddit’s ads ecosystem.
In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

What You’ll Do:

Develop insights into Reddit advertising to help the company increase ads revenue while simultaneously improving end user experience and advertiser ROAS (Return on Ad Spend).
Conduct in-depth analyses across multiple dimensions to assess the health of the Reddit Ads marketplace and to help shape the strategic direction of Reddit Ads.
Collaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, and Data Warehouse Engineers, to take ownership of ads metrics and to drive experimentation rigor.
Design and develop dashboards and ETL processes to support the activities described above.
Contribute actively to build up the knowledge base both within the Ads organization and the wider Data organization.

Who You Might Be:

5+ years of experience in data analytics or related quantitative role.
2+ years of experience in an advertising platform such as (but not limited to) Google Ads, Facebook Ads, Twitter Ads, or Pinterest Ads.
Understanding of experimentation and A/B testing principles.
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit.
Strong ability to communicate and discuss complex topics with technical & non-technical audiences.
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python).
Proficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker).


Lead Data Scientist

Who We Are
Babylist is the leading destination for baby commerce, where 8 million people each year buy what they need to welcome a new baby. We serve parents and the community of grandparents, friends and relatives around each baby - connecting everyone who helps plan, prepare and shop for the new arrival. From the “add anything from anywhere” registry for new parents, to the expert advice and product ideas for gift givers, there is no more trusted, go-to solution for growing families.
Our Ways of Working
We’re a remote-first company with team members located across the United States spanning multiple time zones. This means we put in extra effort to make sure we connect and collaborate in ways that make sense for us. We know how valuable the flexibility of remote work is for our employees so people can get the work done in the way that suits them best. After all, many parents call Babylist their professional home, and sometimes, you just have to jump off that Zoom meeting to clean up that banana that’s getting stomped on by your 2 year old.
We know that personal connection is the foundation for the great work we do together. In order to quickly build those relationships, we offer the opportunity to meet with coworkers in person two times a year at a full company offsite and a departmental offsite. These are great opportunities to meet the people you work with every day and to do some of the work that is much more difficult to do virtually. Most of our roles are fully remote, but these opportunities to meet in person will involve limited amounts of travel. For some leaders, there might be more opportunities to get together in person that would require about 10% travel to Oakland, CA or elsewhere.
What the Role Is
As a Lead Data Scientist at Babylist, you’ll redefine how millions of users search and discover the products they will love as they prepare for one of life’s biggest events. You will partner with other Data Scientists, Product Managers and Engineers to understand users needs and improve the experience of building registries and shopping at Babylist.
Who You Are

You have a BS, MS or Ph.D. in computer science, engineering, mathematics, machine learning, (computational) physics or statistics.
You have strong mathematical, statistical methods and analytical skills.
You are fluent in Python, SQL, and with ML frameworks like TensorFlow, PyTorch, Scikit-learn, Spark ML, Torch, or RankFM.
You have at least 5+ years of professional experience working in a product-driven environment, 3+ years of which you are in one or more of the following: recommendation systems, search, natural language processing, or similar.
You have experience with training systems based on large scale implicit user behavior including handling feedback loops.
You deeply care about agile software processes, data-driven development, reliability, and responsible experimentation.
You have a track record of mentoring and growing collaborative teams.

Your Core Competencies Might Include:

Plans and Aligns
Cultivates Innovation
Collaborates
Manages Complexity
Drives Results

How You Will Make an Impact

You will be responsible for building and owning the next generation of personalization and product/content recommendation systems that will make the experience for our millions of Babylist users unique to them.
Facilitate collaboration with other engineers, product managers, and designers to build best-in-class ML powered search, ranking, and recommender systems.
You have process and past experience in a multitude of recommendation technologies, empowering you to understand the challenges of making discovery better continuously by hypothesis, modeling, and experimentation.
Be a data leader within Babylist.
Mentor and collaborate closely with other engineers and become a valued member of a diverse and autonomous team.
Continuously improve our product by innovating on the service through the usage of A/B tests.

Why You Will Love Working At Babylist

We are a remote first company and we invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
We build products that have a positive impact on millions of people’s lives
We work at a sustainable pace which means work/life balance is a real thing here
We believe technology and data can solve hard problems
We believe in exceptional management
We are an antiracist organization and doing the work to support differences of all kinds
We offer competitive pay and meaningful opportunities for career advancement
We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning

If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply.

#bi-remote


Data Scientist

Hi, we're Oscar. We’re hiring Data Scientists to join our team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 40+ researchers, data scientists, and analysts to leverage our efforts!
About the roles:
We are looking for several new data team members across multiple roles and teams. A specific role and manager will be determined during the hiring process based on the highest priority need.
You will report into a data science leader (Associate Director or above). This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Connecticut, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, or Washington. Note, this list of states is subject to change. #LI-Remote
Responsibilities:
As a Data Scientist at Oscar you will:
Create strong partnerships with internal teams at Oscar to build out and leverage key data science insights that directly impact our members
Discover, understand, and organize disparate data sources and structure them into clean data models that unlock self-service analytics for internal teams
Work with stakeholders to evaluate existing programs and drive improvements through data-driven methods, as well as support the development of data-driven hypotheses
Use statistics and machine learning to explain and predict key aspects of our business
Your specific responsibilities will be determined by the particular role.
Requirements:
You have 2+ years of relevant work experience or a Master’s degree in a quantitative field; we encourage you to apply if you have more experience as well as we are hiring for multiple levels of Data Scientists within the team
You use data science tools like SQL and Python
You’re excited about being (or becoming) a decision-maker, not just an analyst
You know when to look outside the data to solve problems
Bonus points:
Knowledge of or previous work experience in health care, health economics, or health insurance
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
Life at Oscar:
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
We aim to make health care affordable and accessible for all, and apply this same vision to our perks and benefits, including: medical benefits, generous paid-time off, paid parental leave, retirement plans, company social events, stocked kitchens, wellness programs, and volunteer opportunities.
Pay Transparency Policy:
Oscar ensures that you won't be discharged or discriminated against based on whether you've inquired about, discussed, or disclosed your pay. Read the full policy here.
Reasonable Accommodation:
Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
To protect the health and safety of our employees, we require any employee conducting in-person work* to be fully vaccinated against COVID-19 by their start date. If you are unable to be vaccinated due to medical or protected religious reasons, please reach out to our Benefits team at accommodations@hioscar.com to submit an accommodations request.
*Note: In-person work includes: employees required to work from our offices, employees conducting sales work in the field and employees conducting at-home or in-person visits with members.


Senior Data Scientist

Why you? You are a mission driven, customer obsessed, natural problem solver. You dig balanced startup life and can wrestle challenges and change with composure. You are a fearless and collaborative communicator, with the ability to make quick decisions while always in learning mode. You love big, interesting problems and bringing solutions to the masses while making sure it feels personal, authentic and connected. If this sounds like you, we'd like to talk.
Why us?
The Mom Project is a pioneering, remote-first venture-backed startup with roots in Chicago. We are backed by some of the best investors in the world and are lucky to be surrounded by an incredible team of advisors, including Serena Williams.
The Mom Project is a platform and community leading a cultural movement that matches companies with diverse talent. To date, our platform has unlocked over $300M in earning potential by connecting our 650,000+ moms, dads and allies with opportunities at world class brands like Apple, Accenture, Etsy and Nike… and we are just getting started!
Our team is growing as we push to rewrite the narrative for working women at every stage of life. We believe women should be able to choose both a successful family life AND career aspirations without sacrificing one over the other.
TMP Diversity Statement
We move forward when we all move together.
At The Mom Project, we understand the Moms we serve are not all the same and neither are the employees that support her. We are inspired by people who come from all walks of life.
Equality and inclusion at TMP is recognizing and honoring the uniqueness of each person who works to bring our mission to life, valuing all dimensions of diversity as our greatest asset.
We are committed to being a safe, respectful, fair, and inclusive culture for all.
About the Role:
We’re looking for a Senior Data Scientist to join our team! Our newest team member will lead the development, evaluation, and deployment of our resume-job match engine
Our data science team is full-stack, meaning we own the DS process end-to-end from training models to API deployment. We code in Python, and we use technologies like Docker, Redshift and PyTorch. We work in two-week sprints with daily scrums, bi-weekly planning, demos, and retros.
This role requires machine learning and natural language processing skills, experience using Elasticsearch, and fluent Python.
 What you’ll do: Collaborate with data scientists, data engineers, product managers, and other TMP personnel to build new ML/AI features into our hiring and career management platform Lead the development of our NLP-based resume-job description match engine Work with product managers, data engineers, and solutions architects to scope out requirements for a project Undertake one-off ad hoc exploratory analyses to inform plans for delivering new AI/ML-based features Contribute to team’s knowledge and help us come up with the best processes for our team Advocate for best data practices including thinking about what data we should be collecting Develop tools to monitor our models and ensure their performance doesn’t degrade Write production-quality Python code for training, evaluating, deploying, and monitoring machine learning models  Research how best to address particular business requirements using ML/AI techniques, making sure to keep in mind available time and resources

About you:
 You have 5-10 years experience in software engineering, data engineering, or full-stack data science, ideally using Python You have solid SQL skills and an ability to gather and prepare the data you need to build match and other machine learning models You have, or can quickly develop, the capabilities to work as a full-stack data scientist, with an ability to write production-ready Python code, build and evaluate models from scratch, and run exploratory analyses of data You have an understanding of machine learning approaches including supervised and unsupervised modeling, collaborative filtering, deep learning, and natural language processing You apply industry best practices for data science projects You have experience writing production Python code that follows best software engineering practices including writing unit tests and Dockerizing projects You have a willingness to take on whatever work needed to get our AI/ML capabilities into production  You are humble, curious, and hard-working

Why you’ll love working for TMP:
Compensation & Benefits:
Base Compensation Full medical, dental, vision  Short and Long Term Disability Generous Paid Parental Leave  Family planning benefits through Progyny Generous PTO (that people actually use!) 401K match Career Pathing Flexibility/Autonomy Talkspace
Let me see those Perks, Perks, Perks!
An incredible remote team that will support and champion your work Casual Culture: because work should be a place you want to be Health and Wellness stipend Learning and Development stipend  Work From Home Stipend
We're just getting started. Join us in building the future of work.


Lead Data Scientist Search And Personalization North America

Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.

Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.

Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Lead Data Scientist, Search and Personalization - United States or Canada (Remote)

Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:
We are looking for a Senior Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!

Your Next Challenge:

Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process

What You'll Need:

Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

Mental and Physical Demands:

A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Data Scientist Us Or Canada

Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.

Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.

Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Data Scientist - United States or Canada (Remote)

Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:

Getty Images is looking for individuals that enjoy applying new and traditional Machine Learning methods to bring forward outstanding insights to our customers. This role is an outstanding opportunity to help craft how we measure, perceive and share imagery needs across the globe!
In this role, you help develop Machine Learning pipelines to measure content consumption trends. Your work will help users to understand their growing and evolving needs for imagery. You will support the entire product development lifecycle from product conceptualization to opportunity sizing; from measurement design to experimentation; from causal analysis to post-launch learning; and iteration into the next development cycle. This role will sit at the intersection of Content, Engineering, Marketing, Product and Leadership to advise and influence on key decisions. We value learning and development, and you will be given every opportunity to work on projects that excite you!
In addition to possessing a strong technical background, you are comfortable explaining sophisticated analytical and statistical methods to both Business and Engineering teams, and can provide concrete recommendations on how to deploy your work into production. You will have end-to-end autonomy and ownership of your projects and partner cross-functionally with other business units to uncover new opportunities for business growth.

Your Next Challenge:

You will join a growing team of highly-collaborative and curious Data Scientists and Data Engineers. As a member of the team, you will play a key role in driving (and improving) Getty Images’ editorial and content-based pivotal initiatives, working closely with creative specialists and product leads to help drive increased customer experience.
Your primary responsibility will be to help understand how customers connect with Getty Images’ collection of 300+ Million assets. You will apply that understanding to build both internal and external data products. You will communicate discoveries across the team, business partners, and leadership. You will collaborate with engineers to craft reliable data pipelines. You will write code and work with all of Getty Images' technology stack to build and maintain a production-level data ecosystem.

What You’ll Need:

A curiosity about how imagery is used in different regions around the world, and are excited to help Getty Images deepen and broaden its understanding of content trends.
Validated experience of having worked hands-on as a Data Scientist, preferably in a content or people-focused organization.
Proficiency in Machine Learning, statistical modeling and/or data mining, and understanding of the real-world advantages and drawbacks of various Machine Learning techniques.
A Ph.D. or MS in Computer Science, Statistics, Economics/Finance, Sociology, Natural Sciences or any other equivalent quantitative project is helpful. If you are self-taught or have meaningful work experience, we would love to hear from you as well.
Proven understanding of Python (preferred) or R, along with experience working within the AWS ecosystem and standard tools such as Git, bash and SQL.
Knowledge of Spark, NLP, time series analysis, and outlier detection is a plus.
Excellent communication skills (both written and orally), and a proven track record to comfortably produce written reports and present findings to partners.
Ability to independently carry through a project, from conceptualization to delivery. You can pro-actively interact with other engineers at Getty Images to access vital resources.

Mental and Physical Demands:

Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Senior Data Scientist

GitHub helps companies, organizations, and groups of individuals succeed by allowing them to build better software, together.
The Engineering organization is looking for a Senior Data Scientist to join the Data Science group and closely partner with our Product organization on building data products and tools to support our broader company strategy and individual product area needs.
You will be able to leverage GitHub’s large, complex data sets to build models and processes that solve difficult, non-routine problems both for our users, and within GitHub.
This is an individual contributor position with significant growth potential.
Responsibilities:

Collaborate effectively with Product, Engineering, and other members of the Data team on building reusable, scalable, and maintainable technical solutions that can be deployed to production
Identify, design and execute on opportunities for machine learning products to have a high impact on the product and business strategy of the organization
Increase automation, evaluation and stability of the operational footprint for existing machine learning models in production

Minimum Qualifications:

5+ years prior relevant experience
Strong experience building scalable machine learning models in Python (or equivalent)
Experience in using SQL to query and manipulate large data sets for analysis
Experience being an effective contributor in cross-functional teams
Demonstrated leadership and self-direction
Demonstrated effective written and verbal communication skills.

Preferred Qualifications:

Experience with one or more of the following areas: Recommendation Systems, Classifiers, Natural Language Processing models
Experience deploying and maintaining machine learning models in a cloud environment (Azure, AWS, or GCP)
Demonstrated understanding of modern data pipelines and ETL tools, and ability to advise on the impact of different implementations on the data products

Ability to meet GitHub, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  Microsoft Cloud Background Check: This position will be required to pass the Microsoft, GitHub’s parent company, Cloud Screen upon hire/transfer and every two years thereafter.
#LI-RP


Associate Data Scientist

As an Associate Data Scientist for Product at CircleCI, you will:

Use data to improve CI/CD practices
Build and deploy models supporting product features that help 100,000+ developers ship code faster
Help build company-wide practices to enable model discovery, deployment, monitoring, and governance

About Product’s Data Science and Analytics team at CircleCI
You will be a member of CircleCI's 10-member Analytics and Data Science team. Reporting to the Director of Data & Analytics, you will focus on improving our product experience, enabling data-driven product management, and improving company-wide data practices. You will collaborate with Product Management, Data Engineering, Analytics Engineering, Design, and others.
What you’ll do:
Discover models that address CI/CD's hardest problems: Work with product managers to quantitatively identify customers’ CI/CD problems, like slow builds, flaky tests, and dependency hell, and to help make product decisions. Work with engineering leads to identify platform optimizations, like capacity allocation and demand forecasting.
Prioritize problems. Engage in exploratory data analysis. Evaluate available data and define requirements for needed data. Select modeling strategies, tools, and approaches
Build features and tune models. Present to collaborators and executives.
Mentor analysts and help establish team practices: Be an effective coach. Improve teammates’ analytics skills across a variety of problems. Help groom business questions, evaluate data sources, identify analytical techniques, and create visualizations. Help build processes to help the team scale. Improve the team’s use of statistics, hypothesis testing, and experimental design. Keep the team up-to-date on the state of the art.
Build data practices: Help Leads define a process for the discovery of data products.
Work alongside data engineering and business intelligence on ingesting data, pipelining appropriate features, and rolling models into production. Contribute to our growing data architecture, governance, documentation, and security practices. Work through organizational, people, and process challenges of breaking new ground. Celebrate incremental wins.
What we're looking for:

Data science experience: Two or more years in data science, analytics, or comparable roles.
At least one year focused on models and algorithms.
Experience with model selection. Creativity in adapting tools and techniques.
Instinct for product discovery: Experience with product management and the discovery of data products. Effective data-product prototyping. Able to uncover insights in data sources. Effective juggler of scope, time, and value. Able to build multi-functional partnerships.

Big-data, cloud-based toolkit:
Worked with billion-row datasets. Experienced with distributed data processing technology (e.g., Spark).
Hands-on experience with AWS’s data warehousing and ML products and Snowflake. Fluent in Python for analytics/ML use cases as well as SQL.
Right soft skills: Passion for data, discovery, and problem-solving. Curious; confident; and open to questioning assumptions and being questioned. Effective communicator across technical and business audiences; able to lead customer expectations; and able to collaborate with hands-on executives. Adventurous; fast-moving; able to balance vision with execution; and not easily discouraged. Has an instinct for value; and focused on the incremental, not gold plating.
Bonus for knowledge of our domain—software delivery: Emotional intelligence around the challenges developers face with productivity and time to market. Ideally, experience developing code, debugging, testing, committing with distributed VCS and modern CI/CD.
About CircleCI
CircleCI is the world’s largest shared continuous integration and continuous delivery (CI/CD) platform, and the central hub where code moves from idea to delivery. As one of the most-used DevOps tools that processes more than 1 million builds a day, CircleCI has unique access to data on how engineering teams work, and how their code runs. Companies like Spotify, Coinbase, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster.
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit and Harrison Metal Capital.
CircleCI is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Colorado Salary Range: $106,000 - $124,500/year
#LI-BB1


Senior Data Analyst Scientist Marketing

OVERVIEW
Khan Academy is a nonprofit on a mission to provide a free, world-class education to anyone, anywhere. We already reach millions of students every month and are growing rapidly. We’re building a library of high-quality instructional and practice resources that empowers learners and the teachers who support them. Whether they’re studying metaphors, mitosis, Marbury v. Madison, or multivariable calculus, we want to offer students the resources to realize that they can learn anything.
Khan Academy is looking for an experienced data analyst/ scientist to join our growing team. This role will provide analytical support for our global marketing team to ensure our effectiveness in reaching our target learners. 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 organization to drive critical strategic decisions.
About the role

Identify and measure success of marketing initiatives through goal setting, forecasting, value quantification, and monitoring/analysis of core metrics
Perform advanced exploratory analyses on large sets of data to extract insights that will guide our global marketing investments and initiatives
Use your expertise in experimentation (i.e. AB testing, causal inference) to measure the impact of email campaigns and suggest improvements to marketers
Contribute to development of self-service analytics tools to enhance data access for the marketing team
Work with our engineering teams to improve the tools and datasets we have for marketing operations

You may be a good fit if you have

A passion for Khan Academy’s vision and a desire to change the world
Background in applied math, statistics, economics, or a related technical field
3-5 years of experience in data science or analytics
Knowledge of statistical (i.e. multiple regression, hypothesis testing) and machine learning techniques (i.e. clustering, decision tree learning, etc.) for real-world applications
Knowledge about experiment design and causal inference
Strong SQL foundations & ability to manipulate data using R or Python
Strong data storytelling and visualization, with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgement, with a knack for asking the right questions
Prior experience working with marketing/sales functions
Prior experience developing marketing data products is a plus (e.g. user segmentation, ESP integration)

About our benefits
We may be a non-profit, but we reward our talented team extremely well!

Highly competitive salaries and annual bonuses

Ample paid time off as needed – we are about getting things done, not face time

Generous parental leave

Flexible work and time-off schedules to encourage work-family balance and holidays

A fun, high-caliber team that trusts you and gives you the freedom to be brilliant

The ability to improve real lives and the opportunity to work on high-impact software and programs that are already defining the future of education

Affinity groups where parents, black and hispanic/latino, women and gender minorities, and LGBTQIA+ identified folks come together

And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life

Want to know more about us?

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

Our team:  http://www.khanacademy.org/about/the-team

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


Principal Data Scientist

Company Description
Amwell is a leading telehealth platform in the United States and globally, connecting and enabling providers, insurers, patients, and innovators to deliver greater access to more affordable, higher quality care. Amwell believes that digital care delivery will transform healthcare. We offer a single, comprehensive platform to support all telehealth needs from urgent to acute and post-acute care, as well as chronic care management and healthy living. With over a decade of experience, Amwell powers telehealth solutions for over 140 health systems comprised of 2,000 hospitals and 55 health plan partners with over 36,000 employers, covering over 80 million lives.
Brief Overview:
The Principal Data Scientist is an expert-level statistician who provides leadership on the analyses and statistical forecasts of telemedicine activity on Amwell, including managing relationships with internal business partners. The candidate is a self-starter with insatiable curiosity, a polished communicator, relationship builder, and teacher. S/he has the wisdom and technical expertise to understand the limitations of statistical and machine learning methods as well the ability to explain his/her approach and results.
Core Responsibilities:

Independently lead relationships with internal stakeholders as a trusted expert
Identify, lead and develop analyses and statistical forecasts of telemedicine demand and supply on Amwell (and drivers of demand and supply)
Identify and lead development of scalable and automated analytic processes and workflows
Identify and lead development of novel data assets (e.g. data enrichment and integration) and metrics (e.g. feature engineering and data reduction) that deepen insight into drivers of telemedicine activity, improves model accuracy, and broadens industry knowledge.
Translate analytic needs into plans and guides the development of statistical modeling ideas across the department
Analyze data and deliverables for anomalies and errors
Build intuitive and modern analytic products, including incorporating data visualization best practices
Exercising considerable creativity, foresight, and judgement in conceiving, planning, and delivering initiatives
Document programming scripts, processes, and deliverables
Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work
Stay abreast of analytic technologies (e.g. Data storage and analytics on/with Google Cloud, AWS, R, Python, Tableau, etc.)

Qualifications:

Meticulous attention to detail
Masters or higher in a quantitative field (e.g., Statistics, Economics, Operations Research, Computational Sciences)
Expert knowledge of mathematical statistics
Expert data visualization skills
Exceptional degree of technical expertise, creativity, and resourcefulness
Able to apply expert judgement to devise solutions that consider multiple and future perspectives, often for unclearly defined problems
10+ years of experience as a data scientist/applied statistician (e.g., building advanced statistical and machine learning models), working with both “big” and sparse data
8+ years of SQL, including complex queries from multiple data sources
8+ years of developing scalable and automated analytic processes/workflows
Expert level proficiency with R, Python, Stata, or other high level data analytic programming languages
Basic to intermediate proficiency with general purpose programming languages (e.g., JavaScript, PHP, C++)
Knowledge of BI tools (e.g., Tableau, Looker, PowerBI, Domo) is a plus
Capable of working on multiple projects and context shift quickly in a fast-paced environment
Ability to translate incomplete or immature objectives into well- defined requirements
Excellent verbal and written communication
5+ years of experience in the SaaS industry is a plus
Familiarity with the health care industry is a plus

Working at Amwell:
Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic.
Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.
Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community.
Amwell is a "virtual first" workplace, which means you can work from anywhere, coming together physically for ideation, collaboration and client meetings. We enable our employees with the tools, resources and opportunities to do their jobs effectively wherever they are!  Amwell has collaboration spaces in Boston, Tysons Corner, Portland, Woodland Hills, and Seattle.

Unlimited Personal Time Off (Vacation time)
401K match
Competitive healthcare, dental and vision insurance plans


R D Director Machine Learning Ai

About Us
Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than a million people gain access to affordable credit with over $19 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, home equity lines of credit (HELOC) and the upcoming launch of our first credit card product. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.

We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!

Our Values
Accountability at all levels drives results
Collaboration creates better solutions
Excellence leads to longevity
Diversity fuels our innovation
Simplicity guides our user experience
Integrity defines all our relationships

www.prosper.com
Our Story & Team  //   Our Blog

The Role
Prosper’s lending strategies have been powered by ML (machine learning)/AI (Artificial Intelligence) models since 2015 and have continued to advance into new areas with proven performance and scalability. The Director role is newly created to build next-gen machine learning/AI research capabilities. You will initiate and build critical ML/AI capabilities by working closely with data scientists, credit strategy analysts and third-party solution providers. In this role you will work with a fast-paced and talented team that values innovation and teamwork.

Problems You Will Solve

Build cutting-edge and creative challenger models to improve decisioning quality and efficiency
Assess new data sources and prototype new methods to increase conversion and engagement to better serve a broad spectrum of consumers
Collaborate with scientists/engineers to deploy the challenger models into production environment
Evaluate third party solutions with strong business acumen to deliver results with high ROI
Lead by example to show passion and enthusiasm towards new challenges and never cease to challenge the status quo

All About You

Possess 7+ years of experience in consumer lending industry or related consulting services with broad exposure to ML/AI solutions
Have a strong background in applying cutting edge ML/AI techniques to solve business problems
A passionate leader and thinker with an entrepreneurial mindset
Ability to formulate business problems and roll-the-sleeves to prototype new solutions
Solid statistical and data mining background
Advance degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics or related technical field
Outstanding communication skills – ability to effectively communicate complex concepts in plain English, and comfortable with technical details to communicate with cross-functional stakeholders
Exceptional interpersonal skills – collaborate with people internally and externally to build strong relationship
Ability to think within regulatory guidelines with a mindset toward reproducible research

What We Offer

The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
The opportunity to work in a fast-paced environment with experienced industry leaders
Flexible time off, comprehensive health coverage, competitive salary, 401(k) employer match, paid parental leave
Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot
The ability to work remotely in the United States

#LI-DN1
#LI-Remote

Prosper is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. Our philosophy as a business is to approach the COVID-19 situation with empathy and urgency. Prosper’s top priority is the health and safety of our employees and of the communities we serve, including our customers, partners, prospects, and candidates. In accordance with this priority, along with our legal responsibility to provide and maintain a workplace that is safe and free of known hazards, we have adopted a COVID-19 Vaccination Policy which requires all of our employees to receive vaccinations, unless they have an approved accommodation.

Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)

California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA: https://www.prosper.com/plp/legal/privacy-notice-for-applicants/

At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.

Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.


Senior Data Scientist

We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud

Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position.

Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.

The experience you will bring

5-7+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Parental Leave (12 weeks paid with transition back to work in part-time capacity)
18 paid Company Holidays for 2021

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at people@karat.com.