Senior Data Scientist Forecasting

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands – Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you’ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
We are looking for an experienced data scientist to join our Analytics & Strategic Finance team.
As a Senior Data Scientist, you will lead our forecasting work while providing in-depth analyses of business trends that empower our senior leadership to make strong business decisions. Do you find joy in developing statistical models and conducting exploratory analysis? If so this could be the perfect match.
This is a full-time position, reporting to the Director of Marketing Analytics & Strategic Finance. This person will be located (eventually) in Brooklyn. We are considering remote candidates based in the US for this position. Etsy offers three different work modes to meet the variety of needs and preferences of our team: Flex mode for candidates who are comfortable traveling to an office location 2+ times per week, Remote mode, and Office-based mode. Learn more about our flexible work modes and vaccination policy here.
About the Role
In this role you will:
Build company-wide forecasts for sales and other key metricsConduct exploratory analysis to reveal insights about our business and buyer behaviorDevelop statistical models (e.g. linear, logistic, time series) to decompose and predict business trendsCollaborate with Strategic Finance peers to produce monthly and quarterly financial reviews for the Executive Team and Board of DirectorsArm business leaders with the data and insights they need to make informed decisions
Qualifications
About You
Ideally, you’ll bring:
4+ years as a data scientist or data analyst with significant forecasting experienceMastery of SQL and proficiency with either R or Python; experience with Looker or other visualization software is a plusStrong financial and statistical modeling skillsAbility to distill complex insights into compelling narratives for senior executives, both verbally and visuallyA passion for fast-paced problem solving in a dynamic work environmentA desire to continue developing your skill set while sharing new analytical approaches with your peersA trust in and commitment to Etsy’s vision, mission and values
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover
letter and resume telling us why you'd be right for the position. As you've
hopefully seen already, Etsy is a place that values individuality and
variety. We don't want you to be like everyone else -- we want you to be
like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes
us a more relevant, more competitive, and more resilient company. We
encourage people from all backgrounds, ages, abilities, and experiences to
apply. Etsy is an equal opportunity employer. We do not discriminate on the
basis of race, color, ancestry, religion, national origin, sexual
orientation, age, citizenship, marital or family status, disability,
gender, gender identity or expression, pregnancy or caregiver status,
veteran status, or any other legally protected status. We will ensure that
individuals with disabilities are provided reasonable accommodations to
participate in the job application and interview process, to perform
essential job functions, and to receive other benefits and privileges of
employment. While Etsy supports visa sponsorship, sponsorship opportunities
may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit thislink for information related to Colorado's Equal Pay for Equal Work Act.


Senior Data Scientist Growth Personalization

Minimum qualifications
• A degree in Math, Statistics, Computer Science, Engineering or other quantitative discipline

• A minimum of three years experience as a data scientist using data mining, machine learning, statistical modeling algorithms

• Strong analytical skills and creative problem-solving ability

• Ability to answer complex business questions with data, with the curiosity to dive deep and keep asking good questions

• Proven ability to communicate complex technical ideas to a non-technical audience

• Experience in Pandas, Python & R or other large scale data prep and analysis tools

• Experience with SQL databases

Preferred qualifications
• Experience with recommender systems

• Experience with streaming event processing

• Proficiency with Unix/Linux environments

• Experience collaborating with engineers and machine learning engineers in production data science deployment environments

• Ability to design, create, execute and measure consumer-facing experiments

• Experience with business reporting tools such as Tableau, Amplitude

• Able to provide thought leadership on personalization

About the Job
We’re looking for a motivated data scientist and data wrangler to help us make the Hopper app more engaging and personalized for our users, in order to increase engagement frequency, retention, conversion and ultimately the lifetime value of our customers.

You might be a great fit for our team if you’re a self-starter who thrives on uncertainty, and who’s passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver value to our customers.  To succeed at Hopper you need the talent, drive, and experience to thrive in a fast-moving, high-performing company.

We collect large volumes of user tracking data along with pricing information for air, hotels, cars and more.  We need to create better ways of leveraging this data to personalize the experience users have with us.  Our goal is for the Hopper app to feel like your trusted travel advisor: we remember your preferences, we give you relevant recommendations and helpful advice, and make you feel smarter about buying travel.

We need to develop better systems to aggregate, share and wield the user behavior data we already collect across Hopper, as well as creating new mechanisms to capture user intent throughout the purchase journey.  Specific challenges include making personalized product recommendations in app; orchestrating more personalized conversations through push notifications, email and SMS; and experimenting with incentives to drive re-engagement.

Responsibilities

Ship impactful data-driven product features that increase user lifetime value
Use machine learning and big data tools on large and complex data sets to enhance our data-driven, personalized travel advice
Have ownership of the full data science lifecycle, including partnering with product, engineering and business teams to deliver customer focused products.
Conduct ad hoc exploratory analysis and rapid prototyping to refine product refinements
Create appropriate dashboards for product experiment tracking and business unit performance analysis using Amplitude, Tableau and BigQuery/Google sheets
Collaborate effectively with a multidisciplinary team

Benefits

Well-funded and proven startup with large ambitions, competitive salary and stock options
Unlimited PTO
WeWork All Access Pass OR Work-from-home stipend
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership
Small, dynamic teams = massive impact
100% employer paid medical, dental, vision, disability and life insurance plans
Access to a 401k (US) or Retirement Savings Plan (Canada)

Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has seen its valuation more than double since early 2020, reflecting the strength of our mobile-only marketplace and the value customers are deriving from our proprietary suite of fintech offerings.

Here are just a few stats that demonstrate our recent growth:

- Hopper’s valuation is now over $3.5B, reflecting the strength of its mobile-only marketplace and value customers are deriving from the company’s proprietary suite of fintech offerings.

- Based on its current run rate, Hopper is pacing towards 330% revenue growth compared to last year, and it has already surpassed its pre-pandemic revenue peak from Q1 2020 by over 100%.

- Hopper has over 60 million downloads, consistently ranks as one of the most downloaded travel apps, and now has a larger air travel market share in North America than it did before the pandemic (source: MIDT).

- The company is on track to surpass $1.5 billion in travel sales this year, with 40% coming from the hotel and car rental categories.

- Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent 50% of its revenue.

- Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel fintech.

The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually.

All this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!


Senior Data Scientist International Growth

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We are looking for a results-oriented and strategically minded Senior Data Scientist, Product Analytics to work with our International Growth team as Reddit expands its user base to emerging markets. This is a truly zero-to-one role where you will be able to work with Product, Engineering and Design to uncover greenfield and white space opportunities on how to grow Reddit’s presence in emerging markets.
How You’ll Have Impact:
Today the majority of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we’ll be making a major push to expand our audience internationally. We’ve identified emerging markets as a key opportunity and need you to be a key player in exploring and understanding the key levers to drive growth.
What You’ll Learn:
As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how emerging market users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for emerging market users, as well as uncovering opportunities for new experiences that are optimized for lower bandwidth internet connections.
You will work side by side with a world-class org of Engineering, Machine Learning, Search, Community Operations, Product Management 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, machine learning, and exploratory analysis.
What You’ll Do:

Partner cross functionally with Eng and Product leads to help define and execute international growth’s emerging market roadmap and initiatives as well as play a key role in Reddit’s first emerging markets playbook
Become the expert at understanding user behavior and long-term trends in emerging markets
Generate data-driven insights that propose next steps in the strategic roadmap including opportunity sizing new initiatives such as alternative onboarding and leveraging new technologies localized to emerging markets
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards

Who You Might Be:

6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with emerging market preferred


Senior Data Scientist

Our Mission:
In the age of large marketplaces like Amazon, we expect products delivered to our doorsteps in one or two days at no extra cost. Millions of sellers on other marketplaces fall short, unable to afford fast product delivery to their customers. Our mission is to build an intelligent, asset-lite network that enables any seller to offer ultra-fast, low-cost fulfillment -- transforming the $8 - $12 trillion per year fragmented and outdated logistics industry.
Our Team:
Our backgrounds span journalism, academia, consulting, entrepreneurship, and more. We’re united by our curiosity, bias for action, and entrepreneurial ownership. We're looking for intelligent and ambitious people to join us in the early stages of building our vision -- backed by leading firms in logistics and venture capital.
Sr. Data Scientist - ML/ Operations/ Experimentation: The Data Science team is responsible for Deliverr's predictions, optimizations, and analytics. As a Data Scientist, you will power Deliverr’s decisions by owning and developing a specialized domain of Deliverr’s models.
What you'll do:
This role will specialize in at least one of the following domains:

Machine learning: develop models forecasting various phenomena. Examples include:

How is product X’s future demand distributed across geography and time?
What is carrier X’s speed between points A and B?
How likely are service failures in warehouse / carrier networks?

Operations research: develop optimization models. Examples include:

What is the best way to distribute a product's inventory across a warehouse network?
What is the best way to fulfill an order?
How do we do the above in the face of warehouse capacity constraints, changing transportation network performance, dynamic demand forecasts, etc.?

Experimentation: design and implement experimentation initiatives. Examples include:

How do sellers behave given different features / pricing models?
How do products' demand profiles change as a result of changing fulfillment options?
How do we optimize our marketing budget?

What we’re looking for:

4+ years of experience in a relevant role.
Academic background in a relevant field.
Proficiency in SQL and Python (or similar language)
Ability to work, prioritize, and adapt in a rapid-growth startup.
Knowing the difference between sophisticated and effective.


Data Scientist

Working at RippleMatch:
At RippleMatch, we build technology to make early-career hiring more effective while increasing access to opportunity. Figuring out where to begin your career is a difficult and overwhelming decision. Traditional career services and job boards with millions of postings aren't very helpful. It's also not a fair contest. For many students, opportunity is limited based on where they attend school and their personal networks. RippleMatch is changing this. Our platform is a two-sided marketplace — on one side, we help early-career candidates from around the country discover job opportunities that match their skills and interests without effort. On the other side, RippleMatch helps hundreds of employers like Amazon, eBay, and Teach for America hire top talent virtually and build diverse teams.
Our product leverages automation and intelligent workflows to make finding your dream job or hiring the right candidate easier, faster, and more equitable than ever before. Since launching RippleMatch from a college dorm room in 2016, we've raised $34 million in venture funding, helped tens of thousands of users find jobs, expanded to 1,300+ colleges & universities, and brought on hundreds of leading employers as customers. Our tight-knit team of 80+ (& growing!) talented people work hard, celebrate wins, and care deeply about changing the way finding a job works.
The Role:
We are looking for a Data Scientist to join our highly collaborative research and development team. We are looking for someone who is mission-driven, can wear many hats, and is excited about leading our data science efforts. In addition to working closely with the product, you will work closely with engineers, teaching and learning from each other as much as possible. You will also work closely with QA and Product Management to participate in and shape our Agile processes.
Our team is composed of empathetic and hard-working individuals that care deeply about our mission and building the highest quality product we can build. The team enjoys and excels at mentoring and learning from each other. In general, we value collaboration, communication, and a “no job too small" attitude.
We encourage our team members to pair frequently. We host weekly guilds around various technical topics to share knowledge across the team where all members are encouraged to propose and lead workshops whenever possible! We are a remote first team, but have plenty of team events - from wine tastings, magic shows, and chess club we work hard and have fun.
Tech stack:
Python, Pandas, SciKit, PostgreSQL, SqlAlchemy, AWS, Kubernetes, Docker, DataDog, Sentry, TypeScript, VueJs, Github Actions, Selenium, Jest, Pytest, and more!
Who you are:

You can communicate complex ideas in a clear and actionable way
You can visualize data in a way that is effective and easy to understand
You have a “no job is too big, and no job is too small” attitude
You own your mistakes, and share your successes
You are highly collaborative, and love working with others
You come up with creative solutions to complex problems
You are curious, and proactively fill gaps in your knowledge
You care deeply about the mission of RippleMatch

What we are looking for:

Deep intellectual curiosity and passion for data science
Python (Pandas and SciKit) experience
Experience with Machine Learning and AI
Experience with relational databases (PostgreSQL)
Highly collaborative working style
Excellence at trade-off analysis
Strong proficiency in statistical analysis
Quick learner
Strong emotional intelligence and communication skills
Attention to detail

Preferred Qualifications:

4+ years of Data Science experience
Experience with assessing the trade-offs of different machine learning models
Experience working closely with engineering team to drive technical decisions
Experience working at a start-up
Experience working directly with management

Culture & Perks:
At RippleMatch, we understand that our success stems from the people we have on board, which is why we invest heavily in our team’s well-being and growth. We offer a full slate of perks including equity, paid vacation, a pre-tax commuter program, discounted Citi Bike and Class Pass memberships, and — our favorite thing — comprehensive FREE healthcare benefits. We work hard to foster a culture of constant self-improvement, true ownership, and positivity. At our core, we are a tight-knit team that works hard, celebrates wins, and cares deeply about changing the way finding a job works. We are going to fundamentally transform the hiring landscape and won’t settle for anything less.
RippleMatch is a remote-first company. We believe in helping to shape the future of work and creating accessibility to a great working environment for all, regardless of location. This means that all of our openings can be worked remotely. Our physical office is conveniently located near Union Square in New York City and all employees keep Eastern hours regardless of where they are based. All RippleMatch employees are encouraged to work remotely or come into the office as much as they want or not at all. To ensure the health and safety of our team, RippleMatch does require proof of vaccination for all employees.
We believe in maintaining a culture that can cut across distance to suit our employees who choose to be remote as well as those who prefer to come in office. We host monthly virtual events as well as monthly in-person events, team-wide virtual activities every month like Wellness Challenges, and a time to hear from our founders regularly regardless of location. Creating strong bonds between RippleMatch team members means a lot to us and, while we know that this can be done remotely, we also invest heavily in creating opportunities to make sure remote employees get plenty of in-person time. We offer in-person onboarding, travel benefits and virtual team building activities like the ones above!
RippleMatch is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.


Lead Applied Research Scientist Us

In any healthcare system, decisions are made that affect people's lives; from predicting risk and understanding symptom presentations to deciding the most appropriate clinical and lifestyle interventions for a patient. Artificial intelligence algorithms represent a leap forward in the quality and accessibility of healthcare through automated, personalised clinical decision making. At  Babylon, our goal is to build the next generation of algorithms that will operate through digital healthcare platforms to deliver the highest standard of care for millions of our members globally.

We are looking for a highly motivated, technically adept Staff/Lead AI Research Scientist to help us build the next generation of algorithms for clinical decision making and population health management. You will have a strong interest in developing and applying state of the art machine learning methods to clinical decision making, and ideally have a strong understanding in a relevant area including but not limited to AI in medicine, causal inference & graphical models, time series forecasting, reinforcement learning, and decision support systems. As a senior member of the Applied Sciences team, you will report directly to the Chief Scientific Officer, and will pursue collaborative applied research projects within a multidisciplinary team of researchers including: machine learning researchers, statisticians, epidemiologists and clinicians, who are working together to build a platform for healthcare delivery that will directly impact and improve the lives of millions globally. Enter job/role specific opening

WHAT YOU’LL WORK ON

Lead the development of state-of-the-art algorithms to:
Identify optimal treatment effects/interventions from observational data
Risk stratify populations for effective population health management.
Advise and collaborate on ongoing research projects
Provide technical guidance and mentorship to junior researchers
Defining experimentation and data collection strategy
Design and implement state-of-the-art ML approaches for risk prediction and causal simulation
Provide thought leadership by publishing research papers at leading conferences and in top tier journals, as well as communicating research through media and outreach
Presenting findings from research to senior stakeholders across the business, to inform strategic decisions

WHAT WE’RE LOOKING FOR

Proven track record leading applied AI research projects, ideally in risk prediction, individual treatment effect estimation, medical time series forecasting, or clinical decision making
Comfortable working with researchers and non-research stakeholders in an applied science environment
Comfortable working with large aggregated datasets, and ideally with healthcare data
Ability to construct productionisable prototypes in a collaborative codebase
Understanding of core concepts in population health, primary healthcare or epidemiology is a plus

WHO YOU ARE

Strongly motivated by Babylon’s mission to provide accessible and affordable healthcare to everyone, and have a strong interest and knowledge of causal inference and machine learning techniques.
Comfortable working in a research setting, and should have applied industry experience.
High degree of individual initiative, and an ability to engage stakeholders and other teams within Babylon.

WORKING AT BABYLON
Whether you work in one of our amazing offices or a distributed team, Babylon is highly collaborative and fun! You’ll have a chance to work in a fast-paced environment with experienced industry leaders. We have a learning environment where you can make an impact.

WHO WE ARE
We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant. To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available.

At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us. We serve millions, but we choose our people one at a time…

DIVERSITY AT BABYLON
We believe that difference inspires a better, healthier world. That’s why it’s at the heart of everything we do. From our people to our products, difference enriches every part of our business and creates a culture based on equality of opportunity, and in which all Babylonians can progress their careers. We’re committed to creating an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, colour, religion, sex, pregnancy status, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by applicable law.


Senior Research Scientist

In any healthcare system, analyses are performed and decisions are made that affect people’s lives; from predicting risk and understanding symptom presentations to determining the most appropriate clinical and lifestyle interventions for a patient. Artificial intelligence algorithms represent a leap forward in the quality and accessibility of healthcare by assisting and co-driving more personalized, technology-powered clinical decision making/support and population health management. At Babylon, our goal is to build the next generation of AI / machine learning algorithms and systems that will operate through digital healthcare platforms and products to deliver the highest standard of care
for millions of our members globally.

To achieve that goal, in collaboration with other members of the Applied Sciences team, Research Engineers at Babylon, apply, support and contribute to cutting-edge research, leveraging data collected through our digital health platform and from subject-matter experts, as well as publicly available third-party data. This research contributes to the development and improvement of existing and future digital health products and services to support the health of our members globally.

We are looking for a highly motivated, technically adept Senior Research Engineer to join the Applied Sciences team, a multi-disciplinary team of AI research scientists & engineers, data scientists, epidemiologists & health economists, working in close collaboration with clinical, product and engineering teams to deliver healthcare products to improve the lives of millions globally.

WHAT YOU’LL WORK ON

Strong mathematical ability to deeply understand state-of-the-art work
Expert in Python, or/and other similar language(s)
Ability to optimize research code (e.g. implementing vectorization or low-memory techniques)
Knowledge of developments in experimental platforms and frameworks from across the field.
Good organizational skills (including time and task management, and working efficiently as part of a team)
Good communication skills. Able to explain and articulate technical and scientific ideas in written and verbal formats (including presentations)

WHO YOU ARE

The ideal candidate:
is compassionate and caring towards others. They respect the views and ideas of  others;
works in a straight-forward, collaborative and inclusive way and is non-political;
is tenacious, in the pursuit to delight our users. They strive for excellence in all they do and always look to improve our service and product;
regularly seeks to turn ideas into action and injects creativity into every touch point. They question common practice to challenge the norm;
frequently has a can-do attitude and a positive viewpoint;
takes ownership and always delivers against what is agreed.

REQUIRED SKILLS AND EXPERIENCE

Masters degree (or equivalent knowledge and experience) in technical discipline, e.g. computer science, physics, maths, and 3+ years of engineering experience.
Relevant scientific research experience.
Experience with data science / ML libraries & frameworks (e.g., PyTorch, TensorFlow, PyMC3, Pyro, Stan, scikit-learn, etc.)
Expertise with relevant skills for programming, including: use of version control systems; use of a ticket/project management system like JIRA; writing and use of tests.
Excellent knowledge of computer science and software engineering overall.
Broad knowledge of AI / ML, in particular of relevant AI/ML techniques and frameworks.
Able to communicate the impact of engineering, research and scientific concepts to non-technical audiences.

NICE TO HAVE

Experience with development and deployment of production software.
Experience of front-end / full-stack development (including for prototypes and demos).
Expertise in one or several areas of ML/AI
Relevant publications in ML / AI / computer science, including conferences (such as NeurIPS, ICML and ICLR), journals and workshops.
Experience with some of these areas
computer science subject e.g. programming language theory or/and software verification
medicine/healthcare, in particular experience of applying AI/ML in healthcare settings
probabilistic programming
causality
counterfactual inference
Bayesian modelling and inference

WHAT WE OFFER

Competitive salary package including annual bonus scheme
25 days holiday + bank holidays
Flexible working hours and remote working.
Private health care including physio and wellbeing for you, your partner and children
Life insurance cover of 4x salary
Unlimited drinks, fruit and a great selection breakfast options
Weekly yoga sessions
Pension contribution matched up to 5%
The Babylon App! Gain access to unlimited free consultations for you and your nearest and dearest.

WORKING AT BABYLON
Whether you work in one of our amazing offices or a distributed team, Babylon is highly collaborative and fun! You’ll have a chance to work in a fast-paced environment with experienced industry leaders. We have a learning environment where you can make an impact.

WHO WE ARE
We are a team on a mission, to put accessible and affordable healthcare in the hands of every person on earth. Our mission is bold and ambitious, and it’s one that’s shared by our team who shares our values, to dream big, build fast and be brilliant. To achieve this, we’ve brought together one of the largest teams of scientists, clinicians, mathematicians and engineers to focus on combining the ever-growing computing power of machines, with the best medical expertise of humans, to create a comprehensive, immediate and personalized health service and make it universally available.

At Babylon our people aren’t just part of a team, they’re part of something bigger. We’re a vibrant community of creative thinkers and doers, forging the way for a new generation of healthcare. We’re only as good as our people. So, finding the best people is everything to us. We serve millions, but we choose our people one at a time…

DIVERSITY AT BABYLON
We believe that difference inspires a better, healthier world. That’s why it’s at the heart of everything we do. From our people to our products, difference enriches every part of our business and creates a culture based on equality of opportunity, and in which all Babylonians can progress their careers. We’re committed to creating an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, colour, religion, sex, pregnancy status, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, and any other characteristic protected by applicable law.


Senior Data Scientist Analytics Messaging Experience

What you'll be doing
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!)
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
3+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Data Scientist

About the Opportunity
Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that.
We are seeking a thoughtful, hands-on, and output-oriented data scientist with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with the Engineering and Product teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models.
Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry.

Key Responsibilities

Design, build, test and integrate your predictive models into our product. Think anomaly detection for key risk indicators and Bayesian forecasting models for patient enrollment modeling.
Develop tools to enable scalable practices across the growing Data Science team. Think model and query optimization, re-usable internal libraries, and process improvements.
Perform exploratory data analysis and produce easy-to-understand visualizations highlighting key insights.
Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process.
Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy.
Mentor and be mentored by data scientists of varied experience levels and subject matter areas.

Minimum Requirements

3+ years of relevant experience in an analytical role involving data science and statistical modeling
High proficiency in Python and SQL. Bonus points for R, or other scripting languages.
Experience applying advanced statistical models to real world business problems.
Bonus points for experience building data models, and a solid understanding of the “modern data stack”.
Bonus points for experience with Looker, Tableau or other BI visualization tools.
Exceptional written and verbal communication skills.
Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills.
Ability to work as part of a collaborative cross-functional team in a fast-paced environment.
Bachelor’s or Master’s degree with strong academic performance in Statistics, Mathematics, Computer Science, Economics, or equivalent field.

Preferred (Nice-to-have) Qualifications

Experience in the life sciences industry
Experience with healthcare data, ideally clinical/operational clinical trial data
Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.)
Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)


Data Scientist

Data scientists at LeapYear solve problems at the cutting edge of data privacy and sophisticated analytics for the largest names in finance, healthcare, and technology. We apply LeapYear software to enable our customers to unlock the full potential of their most sensitive data while ensuring the confidentiality of the individuals or entities in that data. In a world where privacy is at the forefront of data practice and policy, our data scientists are trailblazers for a near future where confidentiality is always respected and maintained even as data is shared and leveraged as never before possible.

Our technology ensures differential privacy, a widely recognized standard of data privacy that enables all data - including sensitive information - to be utilized for analytics and modeling while maintaining mathematically-proven privacy protection.

The intersection of analytics and privacy creates unique opportunities for LeapYear data scientists. In this role you’ll develop a world-class understanding of how to apply privacy technology to solve real problems, a skill that will put you at the forefront of data science for years to come. Note that prior experience with applying differential privacy is highly beneficial but not required for those with a strong aptitude for applied statistics and data science.

Responsibilities

Become an expert user of the LeapYear platform with its breadth of analytic and machine learning capabilities that maintain the mathematical standard of differential privacy
Work with data at scale, leveraging the LeapYear platform’s Spark compute engine to support fast, distributed processing of massive datasets
Interact with customers to understand and solve their problems and deliver high performance solutions across an exciting range of industries
Influence the direction and development of LeapYear software by pushing the limits of current capabilities and collaborating with product and engineering teams to blaze new trails

Requirements

MS or PhD in a quantitative discipline, e.g., Sciences, Mathematics, Engineering, Economics
Strong mathematical fundamentals, particularly statistics and linear algebra
2+ years of professional experience as a data scientist or comparable role
Applied experience and theoretical understanding of basic machine learning methods of regression and classification (supervised and unsupervised), such as linear models and tree-based methods. Familiarity with more advanced methods is beneficial
Programming: advanced Python, familiarity at least 2 other common languages (e.g., SQL, R, SAS, MATLAB); ability to translate and communicate code across languages
Creative problem solver with the ability to drive a project and work both independently and in a team
Outcome oriented, motivated by high impact opportunities
Excellent verbal and written communication

Preferred

Professional experience in consulting or similar customer-centric environment
Graduate-level studies or equivalent experience with differential privacy or other cryptographic privacy techniques
A portfolio of projects (GitHub, papers, etc.) is a plus
Experience in financial services

A Few of the Perks

Culture of teaching and learning
Competitive compensation package of salary and equity
Catered lunch every day
Company outings
Build your ideal work station
Generous health insurance plan
Relocation support and visa sponsorship


Senior Data Scientist

GoodRx is America’s healthcare marketplace. Each month, millions people visit goodrx.com to find reliable health information and discounts for their healthcare — and we’ve helped people save $30 billion since 2011. We provide prescription discounts that are accepted at more than 70,000 pharmacies in the U.S., as well as telehealth services including doctor visits and lab tests. Our services have been positively reviewed by Good Morning America, The New York Times, NBC News, AARP, and many others.

Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.

We’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.

With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch - we’d love to connect and see if you could be good for the role!

About the Role
GoodRx is looking for self-driven and motivated Data Scientists who bring diversity and add new perspectives to our growing team. We are seeking someone with the curiosity to discover questions and subsequently answer them. This individual will have a deep understanding of statistical modeling, a solid mathematical foundation, and strong communication skills. If you join us, you will be a lead technical contributor on advanced projects across product and marketing in areas such as customer retention, engagement, recommendation systems, and pricing.

Responsibilities:

Lead projects and architect modeling solutions around pricing, growth, and marketing
Provide mentorship to peers and advise stakeholders looking to ensure rigor in analyses
Build state-of-the-art forecasting, prediction, and recommendation systems that generate insights around user behavior, product utilization, and audience segmentation
Help define the technical roadmap and introduce new technical capabilities that help the team level up

Skills & Qualifications:

6+ years of work experience in data science with significant business value contributed through end-to-end model deployment; ecommerce/healthcare experience preferred
Deep understanding and proven track record of using data science within career field; open source contributions, publications, intellectual property/patents, etc. preferred
Master’s degree in a quantitative field; advanced degree with relevance to data science, machine learning, or operations research preferred
Experience deploying production-level realtime models at scale
Strong first principles understanding of common machine learning algorithms (e.g., clustering, tree/forest techniques, OLS, linear/non-linear optimization, etc.)
Fluency in Python and relevant libraries (pandas, numpy, etc.),
Enterprise experience with RedShift/BigQuery, Spark, and Amazon Web Services (AWS)

GoodRx is America's healthcare marketplace. The company offers the most comprehensive and accurate resource for affordable prescription medications in the U.S., gathering pricing information from thousands of pharmacies coast to coast, as well as a telehealth marketplace for online doctor visits and lab tests. Since 2011, Americans with and without health insurance have saved $30 billion using GoodRx and million consumers visit goodrx.com each month to find discounts and information related to their healthcare. GoodRx is the #1 most downloaded medical app on the iOS and Android app stores. For more information, visit www.goodrx.com.


Senior Full Stack Data Scientist Returnly

At Affirm/Returnly, we value you as a whole person. We care about the skillset you bring to the table, but more importantly, we care about the kind of person you are, and the culture and attitude you bring to the table. As a Senior Full Stack Data Scientist, you will build data products that will affect thousands of customers with the objective to improve user experience, drive revenue and optimize processes. You will find success in this role if you are a seasoned data scientist who enjoys to design, build and implement statistical models, covering the whole process end-to-end from idea to production.
What you'll do

Solve new and challenging problems around eCommerce payments, credit issuance and settlement, fraud detection, SaaS integration, model serving
Work cross-functionally with some of the best people in different disciplines like data science, analytics, finance, product management, marketing & sales, design
Break down business problems into statistical and machine learning problem formulations
Explore, identify, query and correlate data from several different state-of-the-art data sources (Snowflake, Databricks Delta, Redis, etc.)
Use advanced statistical methods to identify meaningful patterns, producing insights from data
Develop robust classification, function approximation and anomaly detection models based on relational, text, image and time series data
Use feature engineering to extract the best signals for a problem and apply suitable regularization techniques
Develop and write production grade code in Python for our back-end microservices and REST APIs that serve our machine learning applications
Drive quality by writing unit, integration, and performance tests in a continuous delivery environment

What we look for

6+ years industry experience
Very good understanding of applied statistics, such as distributions, hypothesis testing, regression, classification, etc.
Excellent understanding of machine learning techniques and algorithms, such as k-means, k-NN, naive Bayes, SVM, tree-based models, HMM, neural nets, deep learning etc.
Thorough, expert level knowledge of data structures, algorithms, object oriented programming and design patterns in Python
Deep understanding and experience of various technologies, frameworks and libraries in the Python ecosystem
Strong familiarity with *nix environment including bash and command-line tools
Experience with Git version-control system
Strong experience with relational and non relational databases, including SQL
Familiarity of web service technologies and REST best-practices
Basic understanding of distributed systems in a cloud environment, and event-driven architecture
Bachelors or Masters degree in Computer Science, a related field or equivalent experience
Strong interpersonal and communication skills are required
Excellent command of the English language, both written and spoken is a must for communicating with a global team
Proven track record of shipping models in a delivery-focused environment
Exposure to Amazon Web Services
Prior startup experience a big plus

Location - Remote Spain
#LI-Remote


Data Scientist

Outdoorsy is looking for a Data Scientist to join our Data team! If you’re passionate about the outdoors and would like to work in a fast-paced environment, then we want you! Fun fact: Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.Job SummaryAs a Data Scientist at Outdoorsy, you will be instrumental in leading the charge of how we leverage data in powering our products to optimize solutions and experiences. You will own a wide variety of responsibilities from initiating and scoping potential opportunities, using data to discover insights and diagnose problems, and building data solutions to solve key business challenges. Responsibilities Design and implement machine learning algorithms for various business initiatives such as automated risk analysis, dual-sided marketplace pricing, and recommended rentals to drive key business metrics such as user retention and booking conversions Analyze large-scale structured and unstructured data to derive analysis and insights to identify ML opportunities for optimizations in the business Run experiments to test hypotheses to iterate on features and optimize user experiences Implement ETL and data pipelines of data cleaning and aggregation for analytical and modeling purposes Partner with product, engineering, and analytics team to initiate, lead, and drive to completion complex strategic projects to optimize business KPIs Drive company-wide impact by leveraging data to identify opportunities and trends through data-centric presentations to influence our business strategy and strategic goals Qualifications A degree in a quantitative discipline (e.g. Mathematics, Applied Mathematics, Operations Research, Physics, Statistics, Economics, etc) or equivalent quantitative experience 5+ years of relevant work experience (preferred in one of the fields: dynamic pricing, search and recommendation, online experimentations) Strong skills in SQL and highly proficient in Python and ML packages; experience working with AWS and GCS preferred Solid understanding of ETL and data pipelines; experience with Apache Airflow is preferred Experience with structured and unstructured data for data mining and analysis Proven record of building, designing, and managing production machine learning models Strong understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, clustering, optimization, neural network and natural language processing Hands on experience with statistical analysis techniques, including hypothesis testing, model evaluation, and feature tuning Strong data presentation and communication skills with the ability to simplify and explain complex problems in compelling narratives across technical and non-technical audiences  Benefits & Perks Opportunity to help build a company from an early stage Competitive salary Equity in one of the world's fastest growing companies Comprehensive health and welfare benefits 401(k) Match Unlimited PTO 2 paid RV rentals per year-- we believe in balance and taking the time to nourish mind, body, and soul. About usOutdoorsy is the most trusted RV rental and outdoor experiences marketplace on the planet. We have grown from a lofty white-board idea in 2015 to over $1B in total transactions. Outdoorsy’s mission is making memorable outdoor experiences accessible to everyone. We are creating jobs and helping individuals, couples, and families realize financially life-changing freedom. With offices worldwide in the US, Canada, Australia, Europe and the UK, we’re mobilizing the 56+ million idle RVs and campervans around the world to ensure everyone has the access, choice, and opportunity to safely spend more time outside.We're passionate about our customers, collaborative consumption, community, and entrepreneurship. We’ve been motivated by our values from day one: we always put the customer ahead of ourselves. We like winning. We make long-term progress in the world and repay our gratitude in every community interaction.Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.


Data Science

About the Data Science Team
In the Data Science Team, we are using state-of-the-art machine learning to build applications that help  enterprises to take advantage of new capabilities with a focus on knowledge graphs. Examples of applications that are usually focused on knowledge graphs include, but are not limited to, search, recommendation, natural language understanding, and computer vision.
The Opportunity (aka role description)
Instructions: As a Data Scientist you will help our product and our customers to build machine learning applications that will solve significant real-world problems. You will have the opportunity to work with our top-talent team, on real-world data where your work will have a direct business impact.
What You Will Do (aka responsibilities)

Translate business problems to machine learning applications
Stay up-to-date with state-of-the-art machine learning models relative to the area of your work
Push the boundaries of current approaches
Design and implement state-of-the art machine learning models
Day-to-day collaboration with the members of our data science team

Who You Are & What You Bring (aka qualifications)
Required

Bachelor's degree in Computer Science, Statistics, Economics, Information Technology or related field  with a specialization in machine learning
Experience in designing scalable machine learning models
A good portfolio of machine learning projects
Natural curiosity, problem solving skills, communication skills
Proficiency in Python

Nice to have

Masters or PhD degree in Computer Science, Statistics, Economics, Information Technology or related field with a specialization in machine learning
Experience with Tensorflow, PyTorch, or other related machine learning technologies
Familiarity with deep learning models

Hiring Process
Qualified candidates can expect the following hiring process:

One 45 minutes screening meeting with our Head of Data Science
A 45-60 minutes meeting with one of our senior Data Scientists on technical communication skills
A 45-60 minutes meeting with one of our senior Data Scientists on machine learning expertise
A 45-60 minutes meeting with one of our senior Data Scientists on coding

All calls will be conducted using zoom with video.


Data Science Manager Help Journey

About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 200,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
Gusto is looking for an experienced data science leader to head our Employer Help Journey Data Science team, a critical component of how we build a software product and service organization to delight our customers. The Employer Help Journey team focuses on ensuring our customer base is successful at engaging with Gusto’s full suite of offerings, and can access the assistance and service they need when they need it. In this role you will lead a team of data scientists conducting experiments, advanced analytics and building machine learning solutions to support and augment Gusto’s Product and Service organizations. You will also partner closely with our extended Employer team - including engineers, product managers, designers, customer service providers and more.
The Data Science team leverages Gusto’s data to deliver data-informed insights for our customers and guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers.
Here’s what you’ll do day-to-day

Lead Gusto’s Help Journey Data Science team - recruit, hire, empower and coach a team of data scientists working to support Gusto’s customer base through a software solution and service that our customers love.
Partner with Product, Customer Service, and Operations teams to drive data efforts for all Help Journey workstreams, using all of the tools in our data science toolkit - making the product more intuitive and delightful, helping customers find the answers to their own questions themselves and helping our customer service team provide the right answer quickly when a customer needs us.
Work with our engineering, Salesforce and Customer Service counterparts to develop and deploy critical technology for tracking, parsing and addressing customer needs.
Identify new opportunities to leverage data to improve Gusto’s products and help our business
Present and communicate results to stakeholders across the company

Here’s what we're looking for:

8+ years of data science experience, with 3+ years leading a growing data science team
Very strong communication and cross-functional partnership skills
Able to lead both analytical and machine learning/algorithmic data scientists and work streams - we have both on this team!
Experience optimizing or analyzing service organization challenges at consumer or SMB technology companies a plus
Strong programming skills - comfortable with coaching and reviewing all phases of the data science development process, from initial analysis and model development all the way through to deployment
Experience applying advanced statistical and modeling techniques to solve business problems
Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion

At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings please view our Total Rewards Approach page.
Our cash compensation range for this role is $147,000 - $206,000 in Denver & most remote locations, and $178,000-$243,000 in San Francisco & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@gusto.com.


Senior Data Scientist Product Analytics

About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 200,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
About the Role

Gusto is looking for an ambitious mid- or early-career product analyst with a solid grounding in statistics and data science and at least a few years experience applying this knowledge in a business environment. In this role you will work closely with other members of our Data Science team, as well as our Engineering, Product and Design teams to define and track product metrics, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver insights.
Gusto’s Data Science team leverages Gusto’s data to deliver data-informed insights for our customers and guide product direction and decision-making. We operate full-stack, working closely with product managers to apply data insights to strategy and product decisions, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers.
Here’s what you’ll do day-to-day:

Work closely with product groups to define, measure and report on core product and feature metrics, and to define standards and practices for how product groups work with data
Perform in-depth analyses of our Payroll, Benefits and HR product data to inform and guide product direction and strategy
Design and analyze customer-facing experiments
Work with our business intelligence teams to turn your insights and analyses into clean and consistent reporting
Be a strong voice for a data-informed point of view within our engineering, product and design organization
Collaborate with UX research to design surveys and provide quantitative insights on customer experience

Here’s what we're looking for:

At least 5-10 years experience in a similar role, ideally at a product-focused software company
Strong SQL skills, and comfortable in at least one scripting or statistical programming language (ideally Python and/or R)
Strong knowledge of statistics and experiment design and ability to apply these to conducting and interpreting analyses, data visualization, presentation and recommendations
Excellent communicator - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
Passionate about teaching and evangelizing a data-informed approach to product development to product managers, designers and engineers
MS or PhD in a quantitative field + at least 1-2 years experience in a business environment, or BS or Data Science Bootcamp graduate + equivalent experience in a business setting considered

Our cash compensation amount for this role is targeted at $127,000-$206,000/year in Denver & most remote locations, and $154,000-$243,000/year for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@gusto.com.
#LI-Remote


Senior Data Scientist For Risk

We're looking for a top-tier Senior Data Scientist to help us extract, manipulate, analyze, and interpret data. You’ll play a key role in growing a business through your insights, and you’ll help shape the way a revolutionary new technology is introduced to and adopted by new audiences.

Every one of us shares a common vision: to create the future we want to live in. We need the right people to help us realize that vision.

What we'll accomplish together:

Explore, learn and grow Dapper Lab's capacity to mitigate risk in the exciting new world of blockchain and NFTs.
Develop effective data approaches that improve user experience across all areas of our product, including customer onboarding, risk, and deliver insights to stakeholders.
Analyze customer behaviors, rule effectiveness, risk strategies, fraud and money laundering patterns with the goal of building and refining automated risk rules.
Able to identify red flags, suspicious activity, investigate patterns / typologies and work on appropriate solutions from our 'big data' warehouse and disparate external data sources.
Work in a cross-functional team that overlaps product, marketing, engineering and Trust & Safety.
Establish and maintain effective communication with internal and external stakeholders.
Comfortable building relationships across organizations and articulating facts to a diverse audience.

A little about you:

Bachelor's degree OR Master's degree in a technical discipline with 5+ year track record of relevant experience.
Professional experience leveraging heuristic methods and data science approaches (eg., predictive modeling) to solve problems.
Crafty data wrangler with experience working with data engineers and cloud technology (GCP, AWS, Azure, or similar).
Data storyteller with ability to present a compelling narrative surrounding data insights to non-technical stakeholders.
Strong interpersonal and collaboration skills, advisory and communication experience.
Proficiency in Python or R with solid coding skills + top notch mastery with SQL.
Any blockchain, crypto, financial institution or payment industry experience would be an asset.

More about Dapper Labs:

Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet, the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use.

Our mission at Dapper Labs is to make the world a more open, empowering, and enjoyable place through consumer adoption of decentralized technologies. We have raised over $600M from leading VCs including Fred Wilson (USV) and Chris Dixon as well as Venrock, Samsung, Google Ventures, Coatue, NBA players, and global artists, among others. Dapper Labs partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others.

Visit our website to learn even more about Dapper Labs, including information about benefits and perks.


Data Science Co Op Summer

Work Term Length: 4 monthsAnticipated Start Date: May 2, 2022
Clearco is the world’s largest e-commerce investor. Our equity-free capital products are here to help entrepreneurs scale their businesses while maintaining 100% ownership and control. Clearco is growing, and we’ve already been able to fund 5500+ businesses in 7 countries. By using a bias free approach in our products, we’ve been able to fund 8x more female founders than traditional Venture Capital firms and we are removing barriers for underserved entrepreneurs.
The Clearco vision is simple: remove the obstacles between brilliant ideas and brilliant businesses. Ready to join our mission? Apply below!
What your day-to-day will look like:

Assisting in conducting reproducible research and iterate over machine learning pipelines to improve our business metrics while being constrained by tight deadlines
Working with a team of data scientists to help transform complex data into meaningful conclusions in a digestible format
Presenting data using data visualization techniques
Using Statistics and Data Science to provide data-driven solutions across the organization
Collaborating with cross-functional teams

You will thrive if you:

Are an upper year student with a few co-op terms under your belt

Are comfortable with SQL and can use Python, including pandas

Have exposure to analyzing data and conducting analyses
Are familiar with common regression and classification algorithms
Are familiar with the notions of variance and statistical significance
Are comfortable with software engineering including cloud and code versioning

*Please note that you have to be currently enrolled in a recognized post-secondary program. Be sure to check your inbox after submitting your application for details on next steps.
Here’s what you can expect from Clearco:
Meaningful work, impact, and autonomy
This isn’t your regular co-op job (forget fetching coffee and effortless tasks). We pride ourselves on ensuring our students are doing the most meaningful work they’ve ever done. You’ll own projects from start to finish, just as our full-time employees do. You’ll learn more here than you would anywhere else.
Mission driven, passionate teams, and an inclusive culture
We understand that with autonomy comes trust and respect. We pride ourselves on our inclusive environment and team culture. You’ll join a mission driven team made up of other students and entrepreneurs that are so excited about what we do here.

Clearco is an equal opportunity employer. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. At Clearco, we’re committed to developing and upholding an inclusive, transparent, and comfortable environment for all. We create a space where every voice, perspective, and idea is heard and acknowledged. We embrace differences, and know that our diverse team is our strength and what drives our innovation.
Clearco is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please let us know at accommodations@clear.co and we’ll work with you to meet your accessibility needs.


Data Scientist

Our Levvel family is growing! Our engineering capability is looking for a Data Scientist Consultant to join our team. As an engineer at Levvel you must be flexible and willing to work challenging, complex problems in order to generate strong solutions. Excellent communication skills are key, and you must be able to ask penetrating questions to uncover the root causes of challenges being presented. Our engineers are strong consultants, who are just as comfortable talking through solutions with clients as they are at coding. As an engineer at Levvel, you must value collaboration and working cross functionally to make the greatest impact for our clients and fellow team members.

In this role, you will work closely with technical leads, fellow developers, our client solutions team, and client stakeholders. You will be part of agile/scrum ceremonies and will work as a contributor within these ceremonies.

Within three months, you will have ingrained yourself with your project and its goals, while developing strong relationships within and outside of your team.

Within one year, you will have worked across various client and internal Levvel teams to build solutions, whether those be for clients or for internal initiatives. As a seasoned engineer at Levvel, you will have engaged internally to foster and develop your skill sets and invested time in honing new ones. At Levvel, being a part of the engineering capability means continuing to help us live our core values and culture, as well as drive growth through quality and consistent work and interactions.

At Levvel we value career growth and expansion. You will have various opportunities to grow into the career you desire. We offer mentorship programs and multiple career tracks to help you achieve your personal and professional goals.

Required Qualifications

Strong working knowledge of machine learning algorithms and metaheuristics including bin packing, linear programming, classifiers, clustering algorithms, and anomaly detection
Strong programming skills in Javascript, Java, Python, or similar language
Experience working with SQL, Spark, Hive, or equivalent
Excellent social, written, and verbal communication skills
Confidence working independently and making key decisions on projects
Industry experience in warehousing, supply chain, or logistics preferred
Strong ability to review existing codebases and refactor for improvement vs starting over

Who We Are

We are not your typical consultancy that promises high level strategies, only to provide bloated project delivery teams. We are technologists that work with our customers to solve real business and technical problems using the right solution, not the one that happens to be convenient, familiar, or easy.

We believe that the world needs technology to improve lives and deal with this century’s biggest challenges. We are passionate about helping our clients be part of that transformation.

At Levvel, you'll work alongside other hardworking Consultants on a variety of projects. Our clients range from Fortune 500 companies to the earliest startups. We help companies deliver features into production at a faster pace by using modern techniques and technologies. We are looking for people who want to build incredible technical skills while also being exposed to all aspects of business.

Levvel is committed to diversity, equity, and inclusion. We seek to recruit and develop diverse talent at varying levels of experience, from early career to experienced specialists. We engage and retain talent through an inclusive culture that values the perspectives and contributions of all team members.

We also provide great benefits, including:

Competitive salary
401k with a company match program
4 weeks vacation
10 Paid Holidays
Health, dental, vision


Director Of Data Science And Business Analytics

We are Yay Lunch, a new business concept with the mission to provide healthy food for kids away from home, beginning with school lunches. Our mission is simple: deliver delicious, healthy lunches made by local vendors to kids at school in an easy, reliable, cost-effective way for parents. How do we do it? We curate menus with local vendors in each market, families order online, and we deliver fresh lunches daily to kids at school. Easy!
Since launching a pilot in the 2017 / 18 school year, we have expanded rapidly.. We have aggressive growth plans backed by experienced venture capital partners, and we are excited about our prospects!
We’re a startup which means we are agile, outgoing, quick on our feet, and eternally positive. Our business is exploding into new cities up and down the east coast, which means we’re also pretty excited!
To enable this work, we are hiring a passionate problem-solver who will help take our analytics platform to the next level. Do you have great ideas and the enthusiasm to build them? Join our team! Together, we will brainstorm, collaborate, design and deliver solutions that get great kids great food, right when they need it most.
About the team:
We take our work seriously while recognizing that work is just one part of being a real human. We rise and fall as a team.
If you have strong skills, seriously enjoy a variety of work both tactical and strategic and don’t mind getting your hands dirty, can both teach and learn from others, and can own both your successes and your mistakes, this may be a good spot for you. We have a “no stupid questions” policy and encourage egoless collaboration.
(If you like a lot of politics and hierarchy and meetings, process for process sake, or building and managing empires of direct reports, this is probably the wrong place.)
In this role, we would expect there to be minimal travel, but expect to get your chance to periodically ride along with a driver, visit a food vendor, and help to deliver to a school near you to stay in close contact with how our business works.
We firmly believe that talent comes in a great variety of forms from a wide variety of backgrounds, experiences, perspectives, and lifestyles.
About the Role:
The Director of Data Science and Business Analytics will play an integral part in positioning Yay Lunch for continued success in the future. In this role, you will be responsible for building, owning and evolving the overall analytical reporting team and environments for the Yay Lunch business.  You’ll help drive actionable insights for the executive team that provide not only transparency into existing business performance, but that also help to model our possible futures, and you’ll help lead the creation of a robust and scalable analytics platform.
The ideal candidate will be able to thrive in ambiguity, own and execute multiple concurrent deliverables (both hands-on as an individual contributor and by mentoring and guiding the team) while working effectively with executive leaders and stakeholders across the company. You’ll ensure all stakeholder reporting needs are met in a repeatable and scalable way, while planning, delivering, and evolving our data management and reporting environment to meet the needs of our rapidly growing business and driving actionable insights that make a real impact on our business.
Key objectives:
Partner with executive leadership and business stakeholders to develop analytics and standardized reports to support business performance reviews and to answer key business questions with a focus on scalable, actionable insightsOwn the overall design and support of the analytical reporting ecosystem, including collaborating with engineering and functional business leads on data acquisition, data management, technical architecture, data warehousing and report delivery solutions. Evaluate existing tools and maximize their use and/or identify new solutions appropriate for a scrappy, budget-conscious startupHelp create predictive models that influence future business success, Personally drive top level business analytics that deliver transparency into how we are performing against our plans. Develop self-service reporting capabilities for the business stakeholders and mentor local teams in their use, with a target of most operational requests for data being fulfilled via self-service in 2022.Help guide the executive team in establishing, implementing and maintaining data governance practices & policies, and develop reporting to drive alignmentHelp shape future technology work to both deliver data needed for future analysis, and to leverage the right data and algorithms for future automation and A/B testing Manage team priorities, workflows and staffing
Minimum Qualifications:
5-10 years of data science, business intelligence, business data governance, and/or analytics experience, with 3 years as a director or senior manager preferred, with some experience in fast-moving start-up environments and some in larger companies.  Consulting experience is welcome. Experience creating and leading a data science/business intelligence function. Experience and comfort generating actionable insights from complex datasets, and the creation and management of large scale data modeling. Experience creating predictive models of success based on past business performanceComfortable presenting both high level and detailed concepts to a broad variety of audiences, including executive leadershipStrong experience with SQL, R, Python, and other data languages, cloud warehouses, data transformation and reporting tools (Snowflake, Mode, Looker, Tableau, PowerBI, Github, dbt.)Prior exposure to evaluating and managing vendors for various components of the data ecosystem (consultants, contractors, systems, etc.)Strong project and program management skills.Experience coaching, mentoring, and directing a team of direct reportsA strong sense of personal humility. Flexibility, curiosity, adaptability. Comfort with ambiguity and with creating tools and processes to build a path to success for the department. Readiness for change. Ability to be effective in an organization whose staff all work remotelyBachelor's degree in a relevant field or equivalent experience


Senior Data Scientist For Risk

Senior Data Scientist for Risk
Full-time | Dapper Labs | Remote | Data
We're looking for a top-tier Senior Data Scientist to help us extract, manipulate, analyze, and interpret data. You’ll play a key role in growing a business through your insights, and you’ll help shape the way a revolutionary new technology is introduced to and adopted by new audiences.
Every one of us shares a common vision: to create the future we want to live in. We need the right people to help us realize that vision.
What we'll accomplish together:
Explore, learn and grow Dapper Lab's capacity to mitigate risk in the exciting new world of blockchain and NFTs.Develop effective data approaches that improve user experience across all areas of our product, including customer onboarding, risk, and deliver insights to stakeholders.Analyze customer behaviors, rule effectiveness, risk strategies, fraud and money laundering patterns with the goal of building and refining automated risk rules.Able to identify red flags, suspicious activity, investigate patterns / typologies and work on appropriate solutions from our 'big data' warehouse and disparate external data sources.Work in a cross-functional team that overlaps product, marketing, engineering and Trust & Safety.Establish and maintain effective communication with internal and external stakeholders.Comfortable building relationships across organizations and articulating facts to a diverse audience.
A little about you:
Bachelor's degree OR Master's degree in a technical discipline with 5+ year track record of relevant experience.Professional experience leveraging heuristic methods and data science approaches (eg., predictive modeling) to solve problems.Crafty data wrangler with experience working with data engineers and cloud technology (GCP, AWS, Azure, or similar).Data storyteller with ability to present a compelling narrative surrounding data insights to non-technical stakeholders.Strong interpersonal and collaboration skills, advisory and communication experience.Proficiency in Python or R with solid coding skills + top notch mastery with SQL.Any blockchain, crypto, financial institution or payment industry experience would be an asset.
More about Dapper Labs:
Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet, the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use.
Our mission at Dapper Labs is to make the world a more open, empowering, and enjoyable place through consumer adoption of decentralized technologies. We have raised over $600M from leading VCs including Fred Wilson (USV) and Chris Dixon as well as Venrock, Samsung, Google Ventures, Coatue, NBA players, and global artists, among others. Dapper Labs partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others.
Visit our website to learn even more about Dapper Labs, includinginformation about benefits and perks.
Apply Now


Data Scientist Bot Management

About the Department
Cloudflare’s Engineering Team builds and runs the software that handles requests on the Internet today. We also build and run the internal tools that builds and runs our software. The Engineering Team is split into two groups: one handles product development and the other handles operations. Product development covers both new features and functionality and scaling our existing software to meet the challenges of a massively growing customer base. The operations team handles one of the world’s largest networks with data centers in 102 cities worldwide.
About the Team
Our team is responsible for building security products and solutions that help our customers filter out unwanted internet traffic. We do so by leveraging the enormous amount of internet traffic we have in deriving deep and meaningful data insights, and by designing and leveraging machine learning models and other techniques that can operate on high volume and velocity of data with high precision, performance and scalability.
We are looking for a strong data scientist to come join Cloudflare and help us drive predictive analytic insights and best practices at scale from the ground up. This is a high visibility role and success in this role comes from marrying a strong data & modeling background with security acumen especially in fraud and malicious activity detection.
What we look for: Predictive Modeling techniques, Machine Learning, Model creation and deployment, Storytelling and Visualization, Cross-functional Collaboration, Creative Problem solving, Agile
About your Role

 Partner with product managers, data engineers, machine learning engineers and other key stakeholders in understanding the need for data insights and predictive analytics in the area of security and fraud detection in a globally distributed environment.
 Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineers and machine learning engineers to improve the data collection and quality.
Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
 Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
 Define, implement, and train statistical, machine learning, and deep learning models.
Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
 Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.

Qualifications

 M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative field.
Strong experience in scientific computing using Python or Scala.
 Experience with SQL.
 Experience working with and processing structured, unstructured, and semi-structured data.
Work closely with data engineering team to ensure robust data pipelines and model deployment.
Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale, globally distributed teams).
 Strong communication and presentation skills catered to different audience within the company.
Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
 Strong data analytical skills, taking initiative in deriving data insights and thread intelligence, and proposing models and solutions that can lead to quick and effective proof-of-concept (POC).

Preferred

 Experience in cyber security, fraud detection, internet & networking protocols
Experience in productionizing machine learning models
 Familiarity writing and optimizing advanced SQL queries in Clickhouse
 Good Linux/UNIX systems knowledge


Senior Data Scientist Product Analytics

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

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

What we are looking for:

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

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


Operational Data Scientist

At Ripjar, we are making the world more secure using technology. Our platform enables organisations and governments to prevent financial crime and other illegal activities.This is a great time to join a growing group of highly talented technologists and data scientists who are designing products that solve real world issues and are changing the way criminal activities are detected and prevented.Team mission:Our team enables the delivery of high-quality software to a variety of environments through technical skills, process implementation and software management, anchored in a continuous innovation culture.What you’ll be doing:As an Operational Data Scientist, you will be responsible for working directly with our customers, in a consultative manner, to deploy and optimise Ripjar's analytical solutions and machine learning capabilities to solve their specific problems. You will become an expert in the inner workings of our analytics and be able to advise our customers on how the software can be used appropriately and effectively to meet their needs. Using your creativity and problem-solving skills you will work closely with our customers, supported by your colleagues across Ripjar, to provide solutions to their biggest challenges.When you are not working directly with our customers you will be exploring and experimenting with new and interesting techniques, building capabilities that showcase our latest tech, supporting our partners, and improving our core products. You will be actively involved in understanding, sourcing, integrating, and deriving value from new and relevant data sources.Ripjar is a company with analytics right at the heart of what it does. The technology you will be using on a daily basis to help our customers detect financial crime and other risks will include: Knowledge Graphs, Entity Resolution, Natural Language Processing (NLP) techniques, Neural Networks and Visual Analytics. You will therefore need to be able to pick up new ideas and concepts quickly and be adaptable as our technology stack evolves and improves.Key tasks Research and select relevant technologies, approaches and implementations to solve a given business problem Implement machine learning techniques into engineered solutions that can be integrated into Ripjar’s core technology offering Optimise the performance of our data analytics to maximise their performance for our customer's operational deployments Communicate the design of our data science and machine learning capabilities and how they work to our customers, analysts and fellow engineers The successful candidate should have these skills:We recognise that demonstrable skills in all these technologies is not easy to find. Don’t let that stop you from applying! We can work in partnership to identify your strengths and provide you with the training necessary to fill any gaps Strong software engineering experience in at least one programming language (Python preferred) Working knowledge of machine learning and other algorithms Excellent communicator and able to confidently represent Ripjar to current and prospective customers Understand the nuances of dealing with structured and unstructured data Experience with Linux Experience with Spark (Pyspark), Hadoop or other Big data technologies would be beneficial Why we think you’ll love it here Base Salary of up to £75,000 per year DOE 25 days annual leave, rising to 30 days after 5 years of service Fully remote working option for employees Company Share Scheme Private Family Healthcare Employee Assistance Programme Company contributions to your pension Enhanced maternity/paternity pay The latest tech including a top of the range MacBook Pro Offices in Cheltenham, London and Bristol For those working remotely, financial assistance will be available to help set up your home office There is a well-stocked pantry with food, snacks and drinks when in the office