Senior Data Scientist Ads Experimentation Analytics

Location: Remote-friendly
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
We are looking for a senior data scientist to be a part of the Ads Data Science team. You will work closely with product managers, engineers, and data scientists to up-level the experimentation capabilities of the ads organization. You have a strong understanding of experimentation, are not afraid to challenge the status quo, and thrive in a cross-functional environment.
Responsibilities:

Elevate the experimentation practice for the Ads org by creating the right processes, templates and tools catered for ads use cases.
Lead an experimentation council that can approve/guide experiment designs for various product launches.
Explore new experiment designs/techniques such as budget split experiments, switchback testing, small sample enhancements, Bayesian approaches, causal inference methodologies, dosage response studies, staggered experiments etc and apply them successfully for complex experiments on the ads side of the business.
Liaise with the centralized experimentation team in building platform features to accelerate ads experimentation.
Guide various ads product teams in understanding network effects and novelty effects when running experiments.
Track and own the experiment calendar for the ads org. Run biweekly experiment review discussions.
Create frameworks for making metric trade-off decisions, especially when they span multiple organizations (e.g. ads vs consumer metric tradeoffs).

Required Qualifications:

Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
2 years of experience with experimentation, preferably for a consumer-facing service/app.
5+ years of experience in quantitative/modeling roles.
Proficiency with statistical analysis and programming languages (Python, SQL).
Understanding of experimentation and causal inference techniques.
Experience with digital advertising is preferred, but not required.

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $183,500 - $275,300.
#LI-Remote #LI-NH1


Senior Data Scientist

Company Overview:
Beam (formerly Edquity) is an anti-poverty technology company that helps institutions and governments administer various cash assistance and benefits programs quickly, equitably, and effectively. Beam simplifies program administration so that everyone — case managers, funders, and applicants — can thrive. Beam works with over 40 postsecondary institutions and multiple local governments and has administered over $200M in funding since 2020.
Beam is a Series A stage, venture-backed company and has received support from many of the leading impact and postsecondary success investors, and has also received non-dilutive support from foundations like the Bill and Melinda Gates Foundation.
Job Overview:
Beam is seeking an experienced Senior Data Scientist who is passionate about enhancing financial stability and social mobility for Americans through innovative technologies and methods.
The data team at Beam is small but mighty. We are seeking our first data scientist to lead our efforts to add value to the cash assistance space. The ideal candidate for this role has experience working on end-to-end machine learning products for prediction and ranking, with a focus on understanding and/or preventing inequitable model outcomes – we work with peoples’ livelihoods, and we do not take that lightly. They should be comfortable working with difficult problems and putting our users first. At Beam, we value stewardship and solutioning, so this candidate should have  a strong sense of ownership and independence. Well-rounded data science knowledge (e.g. exposure to some of: data/analytics engineering, experiments, surveys, research methods, governance, etc.) is a major plus, as our team’s purview is primed to expand with the business.
Our data and analytics infrastructure is built on cloud technologies. Prior experience with AWS and GCP technologies for production data science will come in handy. We are building our data viz out in Glean and we work with Heap for product analytics. Familiarity with similar tools is also preferred.
What you will do:
Serve as an advocate for data science best practices with our analytics team, internal, and within the social safety net communityDesign, develop, and deploy predictive and ranking models for research, partnerships, advocacy, and product use-cases Develop a deep understanding of the social safety net problem space and have compassionate opinions on how best to serve our partners and program applicants Perform rigorous analysis to understand and correct biases in production models Think critically about the needs of beneficiaries and partner organizations and leverage that understanding to build our data science capabilities responsibly Create well-written technical documentationAnalyze program data to develop recommendations for social safety net practitioners on how to use our platform
Ability, Experience, and Skills
Technical Skills - Strong SQL, Python and/or R skills are expected. Experience with cloud data environments, such as AWS or GCP will come in handy. A good candidate will also have experience doing their own feature engineering and working with machine learning frameworks such as PyTorch or TensorFlow. Scikit-learn is sufficient if the candidate is otherwise a holistic fit. Data Science and Statistics -  A background in machine learning and statistics is expected for this role. A/B testing and statistical analyses are a plus. A good candidate will have significant expertise in machine learning and statistics, but is also willing to quickly learn about new methods or approaches. Stewardship - A strong desire to produce responsibly crafted work is a must. A good candidate considers input/output analysis a standard step in creating and maintaining a model. They are comfortable communicating best-practices to non-technical stakeholders, as well as supporting the development of customer-facing language to describe your work. They have developed or worked with data governance frameworks before. They have experience working on a well-documented production model at some point, even if for internal stakeholders. Subject Matter - Experience working in government technology, social impact, or at a progressive organization is preferred, but not required. A good candidate will be excited about our work, either through personal experience, professional experience, or a passion for helping others. Regardless of the connection, they are willing to develop a deep understanding of our problem space and leverage that knowledge in their work.
We recognize that the right candidate may not match 100% of the job qualifications listed above. Importantly, we want you to grow with the company, so we are open to a candidate who can do the core work and is willing to grow some competencies. Therefore, we encourage you to apply if you can demonstrate many, but not all of these skills and competencies and are willing and excited to grow!

Compensation and Benefits:
The salary range for this position has been benchmarked in relation to the scope of the role, market rate, company stage, and internal equity. The base salary for this role will be between $140,000-$170,000 Where a candidate falls within the band is determined by skillset, experience level, and geographic location. Furthermore, this role will come with a total compensation package that includes equity shares and competitive benefits. Some of our benefits include
Fully Paid Health Insurance (Medical/Vision/Dental)Unlimited PTO11 Paid Company HolidaysGenerous Parental Leave Benefits401k matchingProfessional Development StipendPotential for EquityMany others!
Beam (formerly Edquity) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Data Scientist Commercial

The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…

Delivered high-value data analytics projects that our existing data products could not cover
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning

What you bring to Komodo Health:

Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling

Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $102,500 to $186,300 plus a competitive bonus and equity package.
#LI-CT1 #LI-REMOTE


Senior Data Scientist I

The Data Science team builds production machine learning models and fraud mitigation tools that are the core of Signifyd’s product.
We help businesses of all sizes minimize their fraud exposure and grow their sales.  We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they’re solving a hard problem alone.
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, from individual contributors up to the executive level.  The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.
You’ll be on a horizontally-focused team that works on tooling for data scientists in order to help the organization fight fraud attacks and scale. You will be leading and planning data- and algorithmically-driven tools and helping test whether these strategies are effective.
Here you’ll have the opportunity to:

Concept, plan, and develop tools and strategies to stop fraud attacks
Write production and offline code in Python and SQL to analyze and build tools that allow us to scale
Think creatively to engineer new analyses, algorithms, and models that identify fraudulent behavior
Devise algorithmic approaches to payments risk management that evolve the process from one that’s human-driven and heavy on gut feel to one that is quantitatively-rigorous and leverages an ecosystem of in-house tools
Build production machine learning models that stop fraud rings
Research real-time new fraud patterns with our Risk Intelligence team

Past experience you’ll need:

A degree in an analytical field, preferably with a computer science component
4+ years of post-undergrad work experience
Experience leading and technically planning projects
Writing well-tested production-grade code and reviewing others’ in a shared codebase, preferably in Python
Experience with pandas, sklearn, numpy and other core Python data science libraries
Building production machine learning models (they don’t need to have been related to fraud)
Hands-on statistical analysis with a solid fundamental understanding
Practical SQL knowledge
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
Passion for writing well-tested production-grade code
A Master's Degree or PhD

Check out how Data Science is powering the new era of Ecommerce
Check out our Director of Data Science featured in Built In
#LI-Remote

Benefits in our US offices:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
HeadSpace Health Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag


Director Of Data Science Risk

Job DescriptionDirector of Data Science, RiskGlobal Risk Decision Science and Data Capabilities is a key team in Risk & Compliance organization that ensures WEX’s products and processes deliver robust fraud and credit decisions while providing a great customer experience and supporting WEX’s growth. We are a team of data and analytics driven experts with an outstanding ability and sense of mission to find solutions through innovation and collaboration. We are looking for an accomplished leader as Director of Data Science, Risk, who will lead a team of data scientists and will be responsible for developing and managing the fraud and credit machine learning models leading to best-in-class risk decision-making. The successful candidate will have deep knowledge and experience in data science, preferably in commercial and small business payments. The successful candidate will be collaborative and a strong communicator with high EQ to work in a matrixed organization. This position will report directly to the VP of  Global Risk Decision Science and Data Capabilities.Roles and Responsibilities
Lead a team of data scientists and analysts to build machine learning models
Provide thought leadership in analytics for fraud and credit decisioning, and work together with Strategy and Operations teams to define, evaluate, and implement potential solutions
Leverage technology and analytical techniques to optimize decisions while considering implications to customer experience
Evaluate external opportunities (i.e. risk data providers, transaction monitoring solutions) to supplement internal capabilities with a firm understanding for tradeoffs in decisions for internal and external solutions
Define data opportunity roadmaps to improve delivery gains against key performance indicators
Collaborate with key stakeholders and cross-functional partners across WEX including Risk Operations, Technology, Bank, Marketing, Finance, Legal, Risk and Compliance/BSA/AML.
Experience and Abilities
Bachelor’s degree required, advanced degree strongly preferred
10+ years of experience leading an data or analytics team
Evidence of working across analytics and engineering organizations to deliver on collaborative project goals
Experience with analytics and data lifecycle management
Understanding of analytics and engineering data ecosystems

Ability to think critically in order to analyze problems and develop creative, practical and efficient solutions for a multinational company
Strong communications skills that distill complex data and systems issues to both technical and non-technical audiences
Strong people leadership and collaboration skills with enterprise-first mindset
Leadership qualities that motivate collaboration with others, guiding the prioritization of initiatives
Understanding of project management methodologies and the tradeoffs between them
Payments industry experience a plus
Key WordsData Science Management, Director Data Science, Director of Data Science, Director of Analytics, Manager Analytics, Manager Data ScienceThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $156,000.00 - $208,000.00


Senior Data Scientist

Job DescriptionSenior Data Scientist, RiskWho We AreOur Team: We are the Global Risk Decision Science and Data Capabilities team. We are a fast-growing team and key to WEX’s strategic vision to incorporate more machine learning into our decision-making. Our team works on improving decisions, automated and otherwise. As such, you will not only be working with the latest data and machine learning technologies and algorithms, you will be working in a dynamic environment alongside our stakeholders and domain experts to build models and drive better decision-making. We are an informal group that likes to work together. We believe that the best work is driven by purpose and a fun and engaging work environment.Our Company: WEX is a fast-growing multinational payments company based in beautiful Portland, Maine. WEX headquarters is situated in the heart of Portland amongst some of the best restaurants in the country and overlooking the ocean and lighthouses. When you are here, you know you are in Maine. We have generous paid time off and paid volunteering time, not to mention great benefits and a culture that values diversity and inclusion.Who You AreYou are driven to do great work. You love learning new things and solving complex problems with data tools and algorithms. You believe that communication and relationships are key to success alongside your data and machine learning prowess.We are looking for someone really rare and we know it. We understand that in some cases you may not exactly check off one of our boxes, but we are interested in knowing how you think that your experience or skills either cover the items below even if in a non-traditional way.General Experience and Abilities
5+ years of experience as a data scientist, machine learning engineer, applied scientist or analyst with evidence of either thesis work or project work using a computational, model-driven approach to data problems
Thesis or dissertation work in a quantitative field (computer science, econometrics, applied mathematics, physics, etc.) or evidence of quantitative approach to qualitative research
Knowledge of project management methodologies
Experience being an effective member in a mixed team of technical and non-technical colleagues
Evidence of communication with business stakeholders to drive impactful data solutions
Understanding of empirical research methods
Evidence of creative problem solving
Tools and Techniques
Strong command of analytics-based scripting tools and libraries such as Python (pandas, numpy, sklearn, tensorflow, etc.), R, Julia
Expert knowledge of SQL
Understanding of statistical tests and which to apply when
Command of probability concepts: distributions, Bayesian inference, maximum likelihood estimation, etc.
Familiarity with various machine learning algorithms
Understanding of data splitting techniques and generalization
Familiarity with MLOps techniques and pipelines
Exposure to various forms of data and familiarity with how to wrangle it: structured RDBMS, csv;  semi-structured JSON, XML, graphs; unstructured text, audio, etc.
Key WordsPython, Pandas, Data Science, Machine Learning, Statistical Learning, Applied MathematicsThe base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $104,000.00 - $139,000.00


Director Data Science And Business Intelligence

Smartsheet is looking for an experienced Director of Data Science and Business Intelligence to help guide our growth. With thousands of subscribing organizations and millions of users you will have a great opportunity to make a meaningful impact across Smartsheet's business.
You will report to our VP of Data Science and Business Intelligence located in our Bellevue, WA office. You also have the option to work remotely from any Smartsheet registered location within the U.S.
You will:
Lead teams of BI analysts and data scientists to enable data-driven discovery, data self-serve and data insights for Product/ Engineering and data science function. In particular, this role will drive product-led growth (PLG) analytics, drive experimentation and product embedded data science initiatives. This person will collaborate and scale best practices for data science work including ML ops.
Understand Smartsheet's business model, identify strategic insights, inform leadership, and recommend execution plans against analytical insights
Ensure continued development of business intelligence foundation, including including standardized tools, report standardization, automation and decision-support capabilities
Work at the intersection of business and with the data platform team to ensure support for all Machine Learning initiatives across the lifecycle, from inception, conception to development and production
Develop cross-team relationships with senior stakeholders to ensure we are meeting existing analytics needs and prepared to meet the needs of the future
Lead strategic analytics initiatives and present insights to key stakeholders to drive actions and impact
Influence investment decisions by supporting the ongoing strategic planning process
Hire, develop and coach a team of talented data, BI and analytics professionals
Understanding and experience in product analytics tools (e.g., Amplitude)
Support other duties as needed
You have:
10+ years of prior experience architecting Business Intelligence and Machine Learning analytics Solutions. Senior level candidates are encouraged to apply and adjustments to role/level will be made as appropriate
7+ years of people management/management consulting experience or similar relevant industry experience including leading an analytics shop
Critical thinking with analytical & financial skills; strong sense for business success
Excellent problem structuring, identification and resolution; Ability to synthesize complex issues into easy to understand concepts
Experience structuring executive presentations with the appropriate level of storytelling, visuals and data analysis
Hands-on experience in statistics, machine learning languages (e.g., Python and R) and BI tools (e.g., Tableau)
Demonstrated ability to work in ambiguous situations and across organizational boundaries
MBA or equivalent experience
Perks & Benefits:
HSA, 100% employer-paid premiums, or buy-up medical/vision and dental coverage options for full-time employees
Equity - Restricted Stock Units (RSUs) with all offers
Lucrative Employee Stock Purchase Program (15% discount)
401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
Monthly stipend to support your work and productivity
Flexible Time Away Program, plus Incidental Sick Leave
Up to 24 weeks of Parental Leave
Personal paid Volunteer Day to support our community
Opportunities for professional growth and development including access to LinkedIn Learning online courses
Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
Teleworking options from any registered location in the U.S. (role specific)
US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
US employees receive 12 paid holidays per year
Smartsheet provides a reasonable range of compensation for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive bonus and RSU stock grant upon accepted offer. California & New York: $205,200 to $280,800 | All other US States: $190,000 to $260,000
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity Employer committed to fostering an inclusive environment with the best employees. We provide employment opportunities without regard to any legally protected status in accordance with applicable laws in the US, UK, Australia, Costa Rica, and Germany. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
At Smartsheet, we strive to build an inclusive environment that encourages, supports, and celebrates the diverse voices of our team members who also represent the diverse needs of our customers. We’re looking for people who are driven, authentic, supportive, effective, and honest. You’re encouraged to apply even if your experience doesn’t precisely match our job description—if your career path has been nontraditional, that will set you apart. At Smartsheet, we welcome diverse perspectives and people who aren’t afraid to be innovative—join us!
Our Candidate Privacy Notice describes how Smartsheet may process your personal data, including the use of a third party provider for application submissions.
Apply Now


Decision Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers!
Job Description
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for:
Customer Support - This team’s mission is to create better-than-human Customer Support Experiences. Cash App holds people’s money, and building customers’ trust is absolutely essential to our brand. Cash App’s mission is to serve the unbanked as well as disrupt traditional financial institutions. Providing fast and reliable help whenever the customer needs it is a major component of building trust and pursuing this mission. Our massive scale and deep trove of Support transcript data create an endless number of opportunities to leverage statistical models and machine learning in the analysis to better understand our customers and offer better experiences. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.
Ads & Incentives - This team is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders. This team drives monetization throughout the Cash App ecosystem and drives consumer engagement in delivering growth.
As a Decision Scientist, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization and directly impact business strategy setting outcomes. There is a high expectation of proactively identifying, investigating, and resolving problems; designing and establishing key metrics; and the effective usage of various techniques such as statistical modeling, A/B experimentation and machine learning to drive the best decisions.
Qualifications
Technologies we use (and teach):
Python (NumPy, Pandas, sklearn, xgboost, etc.)MySQL, Snowflake, GCP/AWS, Tableau, Looker
You have:
Advanced degree in Mathematics, Statistics, Computer Science, Economics or other quantitative field3+ years of experience in a data-driven decision making role in a domain that leverages applied ML regularly such as recommendation, ads and NLPSolid experience with data analysis and scripting in Python and proficient in SQLFamiliarity with ML techniques, applications and best practices in solving real world problemsProficient at defining, utilizing and communicating performance metrics with Product, Design and Engineering, etc.Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Quantitative Risk Analyst Model Risk Management

Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
The Model Risk Management Team is dedicated to ensuring regulatory compliance, supporting the reduction of potential errors or bias, and promoting appropriate utilization for models created and maintained by Block. The team achieves this by establishing and implementing robust model governance frameworks, validating and monitoring model performance, and providing guidance on best practices for model development and risk management.  This is a foundational team within compliance, which means it will support and collaborate with all key functional areas of Block regardless of the product or market.
We are looking for a Senior Quantitative Risk Analyst with model validation experience to join our team and support our model risk management activities. Your responsibilities will include validating machine learning models as applied to regulatory compliance such as anti-money laundering (AML), Know Your Customer (KYC), and sanctions screening. You will also provide analytical support and insights to improve our model development, and documentation standards.
In this role, you should have strong quantitative skills, attention to detail and knowledge of relevant regulations and industry best practices. You should also have excellent communication skills and the ability to work independently or as part of a team.
Responsibilities:
Validate machine learning models using data analysis, testing procedures and quality assurance methodsEvaluate and improve model validation activities, processes, and metricsAssess and advise on model governance frameworks, and development practicesIdentify and communicate model risks, issues, and gaps to managementProvide analytical support and insights to improve model development, validation, and documentation standardsStay updated on emerging trends, developments and best practices in machine learning and compliance risk managementMaintain validation documentation in accordance with internal policies and standardsDevelop continuous monitoring dashboards for ongoing model performance monitoring (e.g. model drift)Coordinate with cross-functional teams, particularly Data Science, Product, Engineering & TechnologyDevelop effective stakeholder relationships and have a strong understanding of the businesses
Qualifications
Required:
Bachelors degree in the physics, economics, statistics, or a similar STEM field with 5+ years of related work experience; Graduate degree w/ 3+ years of relevant working experience; or 9+ years of relevant working experienceKnowledge of data science modeling techniques, methodologies (e.g. familiarity with deep learning, boosted trees, and unsupervised learning)Experience with scripting and data analysis programming languages, such as Python (preferable) or RAdvanced proficiency with SQL and data visualization tools (e.g. Tableau)Strong quantitative skills with the ability to interpret complex data setsExcellent communication skills with the ability to present technical information clearly and concisely High ethical standards with a commitment to integrity and professionalism
Preferred:
Experience in validating machine learning models related to compliance regulations such as AML, KYC, sanctions screening, or fraud detection Prior experience in compliance risk management Knowledge of regulatory frameworks such as SR 11-7
Additional Information
Why join us?
At Block, we value diversity of perspectives because they fuel creativity. We offer competitive compensation packages, benefits, and perks. We also provide opportunities for career growth. and professional development. As a Senior Quantitative Risk Analyst at Block, you will be part of a team that is committed to providing reliable and accurate decision-making support while minimizing risk, and delivering long-term value to the organization and its stakeholders.
You will have the opportunity to work on challenging and rewarding projects that involve cutting-edge technologies such as machine learning. You will also collaborate with cross-functional teams such as Data Science, Product, Engineering & Technology.
If you are passionate about using your quantitative skills, to make an impact on economic empowerment, join us at Block!
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $138,200 - USD $169,000
Zone B: USD $128,500 - USD $157,100
Zone C: USD $121,700 - USD $148,700
Zone D: USD $110,600 - USD $135,200
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Science Intern

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Description
At Johnson & Johnson, we use technology and the power of teamwork to discover new ways to prevent and overcome the world’s the most significant healthcare challenges. Our Corporate, Consumer Health, Medical Devices, and Pharmaceutical teams leverage data, real-world insights, and creative minds to make life-changing healthcare products and medicines. We're disrupting outdated healthcare ecosystems and infusing them with transformative ideas to help people thrive throughout every stage of their lives. With a reach of more than a billion people every day, there’s no limit to the impact you can make here. Are you ready to reimagine healthcare?
Here, your career breakthroughs will change the future of health, in all the best ways. And you’ll change, too. You’ll be inspired, and you’ll inspire people across the world to change how they care for themselves and those they love. Amplify your impact. Join us!
Qualifications
Johnson & Johnson is recruiting for a Data Science Intern at Digital & Data Science Group - JJSC located in listed locations or Remote.
Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We adopt research and science -- bringing innovative ideas, products and services to advance the health and well-being of people.
The Machine Learning (ML) organization at J&J Supply Chain D&DS are hiring 4-6 student interns enrolled in advanced degrees in STEM areas. We are recruiting the interns for Summer 2023 or one school semester/quarter and expect the interns to conduct a research study for a given topic, explore data analysis followed innovative modeling and write a conference paper, white paper or blog post based on J&J publication policy.
The topics of projects are yet to define; however, the ML organization seek areas of interests based on the D&DS business scope, strategy, and current customer pipeline. The interns will be supervised and mentored by at least one Sr data scientist with relevant background.
We consider applicants with the following background as preferred candidates:
 Natural language processing (NLP), understanding (NLU), and generation (NLG)
 Forecasting and Time-series analysis (preferably with supply chain experience)
 Computer vision (CV) (preferably with defect detection or inspection projects experience)
 Graph analysis, reinforcement learning (RL), classical ML, and Internet of Things (IoT)
 Education:
 Currently enrolled in degree program (MS or Ph.D.) in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in ML, NLP, Deep Learning, Computer vision, data science or related fields.
 Experience and Skills:
 Strong understanding of programming languages such as Python and ML libraries and frameworks such as NumPy, SciPy, PyTorch and TensorFlow.
 Practical ML experience
 Familiarity working with cloud computing environment such as Azure, AWS, GCP, or Databricks
 Preferred Qualifications
 Research experience related to ML, deep learning (DL), NLP, CV and general DS
 Published and/or presented papers at any recognized conferences or journals
 GPA 3.7/4 or higher
 PhD students in STEM
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


Senior Data Scientist

Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies. Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products: https://www.youtube.com/watch?v=ifM9_jPQCv8
About the role:

We are currently looking for Senior Data Scientists to join our Client Analysis team to be based anywhere remotely in the USA.
In this unique role as Data Scientist, you will leverage your experience developing algorithms and analyzing massive data sets to tell data stories while also working in partnership with the go-to-market team to drive revenue generation for Socure by ensuring that potential and existing customers can understand - through deep analysis - the benefit and value of Socure’s products throughout the pre and post sales cycle.
This is an excellent opportunity for a Data Scientist who thrives when they're able to communicate a data story to an audience (tech and non-tech), and who is not satisfied only working behind the scenes. Data Scientists on the Client Analysis team are compensated for their part in driving new business with a generous incentive bonus opportunity on top of competitive base salary.

Responsibilities:

Analyze massive customer data sets, come up with actionable insights, explain how our models perform and how we can help our customers build optimal risk management policies.
Act as Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product
Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis
Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
Build ML models when it is advantageous to explore different approaches over the established models in production

Qualifications:

You have a degree in a quantitative field, or equivalent work experience - advanced degree is preferred.
You have 5+ years experience in data science, data analysis, or analytics engineering
You have extensive theoretical and practical understanding of state-of-the-art supervised and unsupervised machine learning methods
You know how to write clean, performant code in Python and/or R, and have 2+ years experience working with massive real-life datasets
You have experience querying relational databases with SQL
You have experience working with cloud tools and technologies in AWS, Azure or GCP
You know how to tell stories with data (dashboarding, building interactive data stories and actionable presentations)
You are able to explain very complex algorithms, models, analyses to non-technical audiences
You are an excellent verbal and written communicator and are comfortable delivering presentations with clear, complete messages
You thrive in a remote work environment and are excellent at setting clear goals and holding yourself accountable
You have experience and/or interest in identity verification and fraud prevention (preferred)

Technologies we use

The client analysis team makes extensive use of the following tools, an ideal candidate will have experience with at least some of these tools and be excited to learn to use the other ones.

RStudio teams (Workbench, Connect and Package manager)
R language and ecosystem (The tidyverse family of R packages, Rmarkdown Shiny)
Python ecosystem (H2O, SHAP, Seaborn, Jupyter, etc)
Apache Arrow
Airflow
Redshift, Snowflake, S3
Apache Spark
Amazon EMR
Git and Gitlab

Salary Disclosure:
Base Salary range: $155,000 - $165,000
This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity,  comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus. This position is eligible for a generous sales incentive bonus.

Socure is all about encouraging people to push the boundaries of what’s possible through top-tier performance, innovation, ownership, and shared expertise.We empower excellence by providing great perks and benefits to both our fully remote employees in North America and our hybrid teams in India.To learn more, check out Socure’s Career Page: https://www.socure.com/company/careersSocure is an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.To learn more about how our work is changing the world, check out these articles and videos:
Socure is Forbes' 2022 Best Startup Employer: bit.ly/3fbNw8S
Socure Accelerates Onboarding for 50+ Crypto, Neobanks, and More: https://bit.ly/3dwN2K7
Socure's Impact on Financial Inclusion: https://www.youtube.com/watch?v=Y6nBc6s1wsU
Socure's Impact on Fraud Prevention: https://www.youtube.com/watch?v=M46UG8QyKe4
Archives & Press Releases: https://learn.socure.com/about/press-release


Data Scientist Iii

THIS IS A REMOTE WORK FROM HOME BASED POSITION (USA ONLY)
Myriad Genetics is a healthcare technology company that leverages genetic information to empower doctors and patients to make informed medical decisions. Our software engineers and data scientists work on a variety of projects to enable providers to work more efficiently to achieve better outcomes for their patients.
Our Health intelligence Platform team is developing infrastructure to share data with health care providers in new ways which will streamline healthcare delivery and enhance the operability of genomic data. This is a hands-on role which will require extensive code development in python, SQL, and other technologies TBD. This is not an entry-level role.
What you will do:
Help us create the infrastructure to deliver better insights which can improve patient care and drive better treatment options
Support the development of our Health Intelligence Platform by developing new tools and improving existing ones
Work within our AWS and DNANexus data platform to ensure uptime, reliability, efficiency, and ease of use through automation, industry-standard best practices, and new and bleeding edge solutions, keeping security top of mind
Take ownership of developing our architecture and strive every day to make it more reliable, scalable and extensible
Work with our Bioinformatic tools, Computational pipelines and Data curation teams to extend and share this infrastructure and drive efficiencies across the R&D Platform group
Understand and contribute to our complex data ecosystem, promote solutions to other teams, and communicate changes to stakeholders
What we believe in:
Prioritize Impact
Hone Your Craft
Own It and Make it Happen
Scale Each Other
Commit to Diversity
Keep it Simple
We look for data scientists who:
Possess a strong background in genomics, cancer biology, pharmacology, or another related biological science. Advanced degree strongly preferred.
Are strong individual contributors and self-starters that want to work towards larger goals with 3+ years of software engineering in industry or academia under your belt as demonstrated by prior experience, GitHub account or personal web page
Have strong communication skills with 1 – 2 year’s experience leading new development or maintaining ongoing development projects as part of a collaborative team
Have expertise in quickly learning and understanding how best to use legacy infrastructure and legacy codebases as well as how to work effectively with other developers to come up to speed quickly on their usage
Have an extensive understanding of Cloud and internal server network applications and design principles
Have a proven track record of improving systems in secure, reliable, and reproducible ways
Have mastery of at least one coding language (e.g. Python, Java)
Are lifelong learners, always pushing themselves, their teammates, and their systems to be the best they can be.
Nice to haves:
Proven experience deploying and managing Docker containers, Lambdas and Pipelines
Proven experience working in collaborative environments using Agile and Scrum based methodologies
Experience with developing in a regulated environment
Strong SQL and Snowflake experience
Experience architecting distributed systems with infrastructure automation, monitoring, logging, and alerting
Experience with Linux systems (e.g. Ubuntu, Amazon Linux) and Bash
Experience with developing tools to analyze biological data in a regulated environment
Experience with CI/CD pipelines (e.g. Jenkins, GitHub, GoCD)
Experience working with DNA Nexus or Looker
Prior experience with building or developing data warehouses
Hands-on experience working with biological datasets, bioinformatics tools and data standards, pipelines, and their supporting infrastructure
#LI-REMOTE
#LI-AP1


Solutions Consultant Data Science

Build the future of data. Join the Snowflake team.
We are looking for people who have a strong background in data science and cloud architecture to join our Workload Services team focusing on the Data Science workload to create exciting new offerings and capabilities for our customers! This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be highly technical and hands-on, where you will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators.
AS A SOLUTIONS CONSULTANT - DATA SCIENCE AT SNOWFLAKE, YOU WILL:
Be a technical expert on all aspects of Snowflake in relation to the Data Science workload.
Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements.
Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology.
Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
Maintain deep understanding of competitive and complementary technologies and vendors within the ML space, and how to position Snowflake in relation to them
Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments.
Communicate to Customer audiences with presentations or working demos.
Provide guidance on how to resolve customer-specific technical challenges.
Support other members of the Professional Services team develop their expertise.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
OUR IDEAL SOLUTION CONSULTANT - DATA SCIENCE WILL HAVE:
4-6 years experience working with customers in a pre-sales or post-sales technical role.
Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
Experience and understanding of at least one public cloud platform (AWS, Azure or  GCP)
Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks,
Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
Experience with libraries such as Pandas, XGBoost, TensorFlow, SciKit-Learn or similar.
Experience working with Jupyter notebooks.
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
BONUS POINTS FOR HAVING:
Experience with Databricks/Apache Spark
Experience implementing data pipelines using ETL tools
Experience working in a Data Science role
Proven success at enterprise software
Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.
The following represents the expected range of compensation for this role:
 The estimated base salary range for this role is $110,000 - $162,100.Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?


Senior Data Scientist

AT A GLANCE
We are looking to hire a Senior Data Scientist to join our team at RVO Health. We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. We are a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world. We're developing applications that will impact how we produce media, personalize our site experience, scale our teammates' reach, and provide our services to every consumer. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers. We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.
What You'll Do

Research the state of the art of machine learning, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.
Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.
Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. Collaborate with stakeholders to drive decisions.
Act as an effective technical liaison to the business leaders. Work effectively across business, creative, and engineering groups to build a positive culture.
Mentor and/or manage junior members on the team and internally serve as a subject matter expert. Contribute to the cross-organization technology strategy and roadmap for data science.
Help create and promote an inclusive environment where team members feel comfortable and empowered.

What We Are Looking For

4+ yrs of professional experience in a data science role
Our core problems to solve are:

Website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
Text and image generation - leveraging recent advances of large language models and their derivatives to scale what our creative functions can do.
Recommender systems - represent a large user and item space in a way to efficiently retrieve and rank personalized recommendations to our users.

Candidates with specific expertise in any of these areas will be highly preferred.
Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business with a proven track record of advancing research ideas into production.
Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience leveraging technical expertise to identify the feasibility of potential machine learning projects, ensuring the team is delivering value on feasible projects.

Pursuant to various state Fair Pay Acts, below is a summary of compensation elements for this role at the company. The following benefits are provided by RVO Health, subject to eligibility requirements.

Starting Salary: $100,000-$175,000

*Note actual salary is based on geographic location, qualifications and experience

Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

Who We Are:
Founded in 2022, RVO Health is a new healthcare platform of digital media brands, services and technologies focused on building relationships with people throughout their health & wellness journey. We meet people where they are in their personal health journeys and connect them with both the information and the care they need. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health. Together we’re focused on delivering on our vision of a stronger and healthier world.
RVO Health is comprised of Healthline Media (Healthline, Medical News Today, Psych Central, Greatist and Bezzy), Healthgrades, FindCare and PlateJoy; Optum Perks, Optum Store and the virtual coaching platforms Real Appeal, Wellness Coaching, and QuitForLife.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
RVO Health is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at RVO Health is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodations@rvohealth.com.


Director Of Data Science Operations

📍London/Anywhere (UK)
About us:
We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.
We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.
We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.
About our Data Discipline:
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data practitioner is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Finance Analysts etc.
What you’ll be working on:
Our data team in operations supports the areas that Monzo is probably most known for: providing a delightful customer experience. You’ll be in charge of leading the team responsible for optimising operations - from ensuring we can accurately forecast and schedule our customer support agents, to supporting a culture of experiment led outcomes among our product squads. You’ll lead a full stack data team including Analytics Engineers, Analysts, Data Scientists, Machine Learning Engineers, working alongside your partners in Product, Engineering and Operations to produce market leading customer service cost effectively.
Your day-to-day

Establish yourself as a trusted partner to the operations leadership team with a reputation for getting things done
Work closely with operations leadership to define data’s priorities and support our operations strategy
Help develop and retain a data team of 20 top tier data analysts, data scientists, data managers and machine learning engineers
Promote a culture of proactive, high quality data insights that can impact the direction of Monzo

You should apply if:
What we’re doing here at Monzo excites you!

You’ve gathered significant experience in customer operations

You have multiple years of experience in a hands on data role and have now been leading data science teams in operations / large scale support functions

You consider yourself an empathetic leader and have experience managing multiple data individual contributors and data managers and you really enjoy that part of the job
You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
You have experience working together and collaborating with senior business stakeholders and operations teams
You have experience leading a full stack data team, including Analysts, Data Scientists, Analytics Engineers and Machine Learning Engineers
You have experience managing data managers

The Interview Process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

30 minute recruiter call
45 minute call with the VP of Data
3 x 1-hour video calls with various team members, including the general manager for Operations
A meet and greet with a Monzo ExCo member

Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com
What’s in it for you:
✈ We can help you relocate to the UK
✅ We can sponsor visas
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
📚Learning budget of £1,000 a year for books, training courses and conferences
➕And much more, see our full list of benefits here
Equal Opportunity Statement
We are actively creating an equitable environment for every Monzonaut to thrive.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2021 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
#LI-CS #LI-REMOTE


Observability Data Scientist

At Elastic, we see endless possibilities in a world of data, and we use the power of search to help people and organizations turn that possibility into results. Elastic is the leading platform for search-powered solutions. With solutions in Enterprise Search, Observability, and Security, we help improve customer and employee search experiences, keep critical applications running smoothly, and protect against cyber threats. Elastic enables organizations worldwide to use the power of Elastic, including Netflix, Uber, BBC, Microsoft, and thousands of others.
Elastic was built on a foundation of being free and open, which trickles down to how we work. We’re a distributed organization and have been from the beginning. Being distributed isn’t just a way of doing business—it’s a mentality that is at the core of our culture.
Engineering philosophy
We believe that engineering complex, pluggable software for the web that is built to last the test of time is both tricky and exciting. Doing so requires a team of diverse individuals, with sharp minds and the ability to empathize with our users, working together with mutual respect and a common mission.
We care deeply about giving you full ownership of what you're working on. Our company fundamentally believes great minds achieve greatness when they are set free and are surrounded and challenged by their peers, which is clearly visible throughout our organization. At Elastic, hierarchy does not determine how decisions get made. We feel that anyone needs to be in the position to comment on anything, regardless of their role within the company.
The Role
The Observability team is in charge of developing solutions that focus on application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, and application traces, supporting the three pillars of observability.
Faced with an ever-increasing volume, variety and velocity of data generated by applications and infrastructure, Ops teams need to leverage big data and machine learning techniques to manage their applications and infrastructure. AIOps (Artificial Intelligence for IT operations) enhances a broad range of IT operations processes including anomaly detection, event correlation, and root cause analysis to improve monitoring, service management, remediation assistance, and automation tasks.
The team is looking for a Data Scientist who will be working in a team of developers and in collaboration with other data scientists to evolve our Observability product, leveraging AI on Logs, Metrics, APM, Synthetic Monitoring and other data to ensure the delivery a comprehensive solution that will help our users to reduce their mean time to detect (MTTD) and to repair (MTTR).
You will collaborate with the broader Elastic Observability and Platform teams, a diverse set of software and machine learning engineers, experts in all the pillars of observability who lend domain expertise to work with you to creatively solve Observability problems.
The team is diverse and distributed across the world, and collaborates on a daily basis over GitHub, Zoom, and Slack. Thus, the ability to work within a distributed team is critical.
What you will be doing

Joining the Actionable Observability team
Collecting and analyzing observability data to design and improve your models
Designing and developing models to solve observability problems
Collaborating with product managers and designers to leverage AIOps for Elastic Observability
Working with other engineers to get your data solutions implemented as features into the Observability product
Participating in collaborative efforts to improve our ML jobs with the ML teams
Promoting long-term vision for leveraging AI/ML techniques to creatively surface and solve Observability problems (senior position)

What you will bring along

Experience developing statistical and machine learning models
Solid understanding of supervised and unsupervised machine learning for classification, regression, clustering, anomaly detection, and NLP
Proficient programming skills and experience using any of the most popular ML frameworks, e.g. Scikit-Learn, SpaCy, PyTorch, Keras, or TensorFlow
Experience working within engineering teams and being able to apply engineering solutions to data science problems
Ability to work in a fully remote and highly autonomous environment
Experience working with large volumes of time serie and unstructured data

What Would Be A Great Addition

Experience with observability, monitoring, and/or AIOps solutions
Experience using the Elastic Stack
Proficiency with Javascript and/or C++


Lead Data Scientist

Looma Background
Looma exists to bring transparency, humanity, and responsibility to advertising and commerce. We do so by connecting shoppers to the people and stories behind their favorite brands and informing their purchasing decisions.
Our first product, Loop™, is a network of in-store screens that play short videos focused on storytelling and education. The content for this network is powered by our second product, Relay™, a marketplace of filmmakers who specialize in point-of-decision video in food & bev.
Position Summary
Looma’s small and mighty Data Science team builds out scalable data products, delivers critical business insights, and develops sophisticated machine learning models. We’re looking for our team’s next addition to take our machine learning and insights to the next level. You’ll work on projects such as:
Modeling customer behavior using our rich retailer transaction log dataDiscovering what makes films effective using computer vision dataBuilding on top of the existing inferential sales lift modeling and ML Ops
At Looma you’ll be supported by a robust set of data and analytics. If you thrive on building machine learning models and ML ops, please don’t hesitate to apply.
Tech Stack:
Data Science work relies heavily on the R ecosystem, including the tidyverse, Shiny, Plumber APIs, and Posit Connect.Data pipelines use dbt and Fivetran.Data warehouse is in Google BigQuery.Internal data is available via GraphQL API.External data is extracted and loaded using GC Functions and Storage.The broader technical stack is GCP-centric and relies on Golang and Typescript.
The responsibilities for this role can be split into three primary categories:
Statistical modeling and advanced analytics: 60%Machine learning ops development and management: 30%Consulting on other Data Science projects: 10%
Attributes
Applied experience with scalable machine learning in a business contextPreferably in a CPG, retail, or retail media contextPreferably with customer-centric models (ex: value, journey, retention)Experience using or building ML ops management solutionsRespect for the practices that make for robust analytics (cross-validation, version control, testing, package development, commenting, etc.)Ability to thrive in a dynamic startup environment with a wide variety of analytics projectsSoft skills to match the rest of the team: enthusiasm, curiosity, and empathyAbility to translate data needs to an analytics engineering teamExperience programming with R and the Posit ecosystem is a bonus but not a requirement
Structure & Compensation
Looma will provide a competitive compensation package consisting of base salary and stock options. All Looma compensation packages include cash / equity flexibility (i.e. you can opt for more equity and less cash or vice-versa).
Benefits
Employee coverage for health, dental, and vision (gold plan)Unlimited PTO (3-week minimum)Up to 12 weeks parental leave401(k) planFlexible office setting (office, flex, or WFH, with associated stipends)$100/month craftsmanship stipend
Looma’s Hiring Philosophy
Looma believes culture is one of the strongest predictors of success for a startup. Strong contributors to Looma’s culture will exhibit the following characteristics:
HumilityIntegrityWisdomEmotional IntelligenceGritJoyfulnessFun
Diversity & Nondiscrimination
Looma believes diversity is a fundamental good, and we are committed to promoting diversity both in our workplace and through the stories we tell. We do not discriminate on the basis of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status, class or caste status, or any other protected class. Our global nondiscrimination policy covers these protected classes in every market in which we do business.


Data Science Manager Iap Roas Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Manager of Data Science to join a team focused on the development of IAP ROAS (Return On Advertising Spend) Machine Learning models that power our real-time bidder, one of the most exciting and important products within Chartboost. These models help predict the propensity for a user to spend money within a mobile game, one of the key KPIs our advertising partners measure for the success of their User Acquisition strategies. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges.
Impact you will make:

Build and manage a team of Data Scientists that has a focus on maximizing the IAP ROAS for our customers
Mentor team members and help guide them in their career development
Design and test predictive models at large scale that control real money
Find new and creative ways to utilize the massive piles of data we have using both supervised and unsupervised methods
Generate insightful and actionable information driving ranking and revenue performance by using rigorous scientific and statistical methods
Train and tune learning models offline, provide clear guidelines for A/B testing and production launch
Analyze millions of structured and unstructured data points and identify meaningful features/signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role
2+ years of experience managing a Data Science team
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
You have a sound understanding of Data Science and Machine Learning principles

The following experience would be a plus:

Ad tech and/or Mobile space

Perks:

Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely
Private health insurance
Life insurance
Optical complement for glasses or contact lenses
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Manager Growth Marketing Analytics

Remote or Hybrid
The Manager, Growth Marketing Analytics is responsible for growing our core performance media channels (Display, Social and Video) by owning both the strategy and end-to-end execution of marketing campaigns. You’ll leverage your bar-raising data analysis skills to diagnose channel performance and prioritize opportunities, and you’ll leverage your creativity and understanding of user psychology to design + run experiments that optimize creatives and site experiences. You’ll be the resident expert in performance media and continue to bring the latest best practices to our portfolio of channels and campaigns.
This role is for you if you love data analysis and user psychology, if you’re energized by seeing immediate financial results of your work, and if you’re committed to operational excellence and continuous improvement.
This role is not for you if you’re not comfortable working in a fast paced environment, getting “in the weeds” of campaign management, or uncomfortable with P&L ownership.
This is an individual contributor role with the potential to build a team around the growth of our performance media program!
You Have:

Experience running performance media channels (Display, Social, Video), ideally in a B2C setting
Experience with creative production and testing
Exceptional analytical skills – a degree in Statistics, Mathematics, Economics, Finance, Computer Science, related field OR demonstrated analytical and technical ability (working professional history as a Data Analyst )
A proven track record of turning business problems into solutions using data, creativity, and empathy.
Understanding of core statistical concepts - including hypothesis testing, confidence intervals, and regression analysisFamiliarity with web analytics tools and marketing technologies (e.g Google Analytics, pixel/tag management, BI platforms, etc)
Stellar communication and presentation skills
Strong Excel skills and working knowledge of SQL
A deep curiosity about consumer needs and behavior in the insurance space!

The base compensation range for this role is $115,000-$130,000 plus equity (RSUs). We also have an Open PTO policy, employer retirement match with generous vesting, plus more!
We get it. Requirements can sometimes hold people back from applying to a job, but don’t let that be the case here. If you believe you have the skills it takes to elevate this role, team, and company, we encourage you to apply for this role.
About Us:
EverQuote (Nasdaq: EVER) operates the largest online marketplace for insurance shopping in the United States. We make insurance shopping easy, efficient and personal, saving consumers and providers time and money. Our goal is to reshape the way consumers shop and improve the way insurance providers attract and connect with customers as insurance shopping continues to shift online.
EverQuote is committed to building an equitable, diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or veteran status.


Data Scientist

About Betterworks
Betterworks provides enterprise software to easily manage strategic plans, collaborative goals (OKR’s) and ongoing performance conversations.  Betterworks software helps high-performing companies get aligned, and execute more effectively.
Betterworks closes the loop between people, strategy, and results, enabling organizations to align even their most sprawling, dynamic teams. Industry leaders such as Intuit, Freddie Mac, Asurion, Udemy, Vertiv, HCSC, and the University of Phoenix rely on Betterworks to accelerate strategic growth by supporting transparent goal-setting, enabling continuous performance, and gleaning real-time employee engagement insights.
Betterworks is backed by Kleiner Perkins and Emergence Capital. John Doerr, iconic investor, OKR pioneer, and author of New York Times Best Seller "Measure What Matters," is a board member, and Josh Bersin, global HR thought leader, serves as an advisor.
What You’ll Be Doing

 Work with stakeholders to identify opportunities for leveraging company dataset to drive business solutions including new product features.
 Discover actionable insights from data sources and develop novel algorithms and models through the use of statistical, machine learning or deep learning methodologies.
 Optimize and improve performance of the algorithms and models to meet product and business strategies requirements.
 Assess the effectiveness and accuracy of data sources and data gathering techniques.

What’ll Help You Be Successful

 Degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Computer Science, or related STEM discipline.
 5+ years of relevant experience.
 Knowledge and experience in advanced statistical techniques and concepts (regression, properties of distribution, statistical tests, etc.) and experience with applications.
 Knowledge and Experience in a variety of machine learning and deep learning techniques, e.g. NLP and its real-world application.
 Proven ability to develop and deliver data science projects to production with large scale dataset.
 Experience in Pytorch, Tensorflow, Pandas, Numpy, scikit-learn, Matplotlib.
 Experience querying and analyzing data from various data sources: Postgres, MongoDB, etc.
 Experience in at least one programming language (Python etc.).
 Experience visualizing data for stakeholders.
 A drive to learn and master new technologies and techniques.

Why Betterworks
At betterworks, we prioritize our people. In that spirit, we’ve put together a great benefits program to support our employees’ health and wellness that includes the the following:

Work closely with a cross functional team of highly motivated and intelligent folks with a unique range of startup and enterprise experience.
Balanced Work / Life with unlimited vacation and second Friday off every month.
Vibrant company culture with frequent team building events.
Competitive salary with stock options.
Company sponsored health and personal accident insurance benefits.
Remote first work culture that allows you to work from anywhere in India and travel to meet as a team when possible.
Weekly In-house Happy Hours.
$235 one-time reimbursement for work from home office set up.
$95 monthly stipend for internet.

Betterworks is backed by Emergence Capital (Series B), Kleiner Perkins Caufield & Byers and 8VC.  Betterworks has an experienced team from innovative companies like Amazon, Box, Google, LinkedIn, Palantir, Salesforce and Yammer.
About Betterworks
Betterworks® aligns, develops and activates your workforce for business growth. Through our easy-to-use, integrated software solutions and expertise, we help organizations replace outdated annual review processes with powerful Continuous Performance Management® programs that help managers be better at the conversations, coaching and development necessary to inspire and motivate the entire workforce to meet today's goals and be ready for tomorrow's challenges. Our solution supports truly global workforces, and is used daily by workers from more than 100 countries with localization support in more than 20 languages.
Follow Betterworks on Twitter or connect with us on LinkedIn
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse betterworks. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global betterworks Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.


Data Science Summer Intern

About Prism Data

Prism Data is leading the future of cash flow underwriting, which directly addresses the problems faced by millions of Americans who cannot access fairly priced, mainstream credit products through legacy (credit report-based) underwriting. Prism’s infrastructure and API platform analyzes and risk-scores consumers based upon their banking transactional data -  enabling banks, fintech lenders, insurers, and others to have a more holistic, real-time view in how consumers earn, save, and spend - so they can serve more customers, build better products, and make smarter risk-based decisions.

Prism was launched in 2021 by Petal, which pioneered the use of automated cash flow underwriting in consumer credit over 6 years ago, as a means of providing consumers, especially those underserved by the mainstream financial system, access to safe and affordable credit.

Prism has emerged from its successful 2021 private beta. We're building out our first "core team" to commercialize the solution and expand access to businesses broadly.

We're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. We welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.

The Data Science, Intern role

Prism is working on helping to turn consumer banking history into financial insights. Achieving this objective requires best in class models that are continuously being improved, making the data science function critical for this mission. In this role, you will aid in the development of models and conduct research to support the Data Science team.

Key responsibilities:

Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
Explore and test new data sources to improve our risk and marketing models.
Research new models, algorithms, and enhanced model features to improve our credit scoring and risk models.
Partner with data engineers to validate and deploy solutions in an efficient, sustainable and usable manner.

Characteristics of a successful candidate:

Progress towards a degree in a STEM Major (Science, Technology, Engineering, or Math)
Strong knowledge of statistical and/or machine learning techniques OR strong knowledge of Python (strong SQL is a plus!)

Nice to haves:
Strong preference to rising Seniors or candidates working toward MA/MS/PhD

We are an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.

Petal provides standard ranges in order to be compliant with local legislation as well as to provide greater transparency to candidates. The compensation information provided here is based on a good faith estimate at the time of this job posting.

This role has a rate of $7,000 per month. Ranges are based on function, level, and office location, and are benchmarked against similar stage companies. Exact compensation amounts are determined by multiple factors including but not limited to skill set, level of experience, and office location, and may vary above or below from the amounts listed above.

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