Senior Principal Data Scientist

About Splunk:
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As part of Splunk’s R&D organization, the Data Science Team is passionate about providing quantitative analytics and evidence to inform business decisions. We focus on developing deep, quantitative understanding of how customers buy, use and adopt Splunk products and services. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Rigorous data science research and analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are seeking a Senior Principal Data Scientist who is passionate about framing and solving practical business questions with rigorous, quantitative data science approaches.
Role:
As a Senior Principal Data Scientist, you will partner with Splunk leaders to articulate crisp business questions and develop the architecture and methodologies needed to execute quantitative assessments and analytics that provide context and evidence to answer these questions. This will encompass creating a collaborative environment with other scientists and engineers to use rigorous quantitative research methods and data presentation to uncover the factors that drive business solutions. You will help architect and build the analytical experiments, models, reports, and dashboards and translate quantitative assessments into actionable insights.
Responsibilities:
Serve as a go-to technical resource for other data scientists. Structure and build analytical experiments, models, reports, and dashboards using statistical and other quantitative analytical methods.Model technical excellence across the end-to-end data science life cycle. Lead technical reviews and set the bar for excellence in data science projects across the organization.Model and mentor others in structuring business questions, developing work statements, and documenting and delivering analysis plans in tangible, practical, and clear prose & presentation forms.Lead investigator in analysis projects. Serve as the technical guide and direct the work of other data scientists and analysts. Deliver results in clear prose & presentation forms.Ensure rigor in underlying methods to retrieve, condition, validate, synthesize, and manipulate data.Create order from chaos - provide structured solutions for ambiguous problems Translate metrics and analytics into digestible products that inform business decisionsIterate, document, and communicate throughout problem lifecycle. Serve as a model resource for excellence in data science delivery.
Requirements:
Passion for framing and solving practical data-driven business questionsSelf-starter with a demonstrated track record of critical thinking translated into concrete products.Demonstrated ability to work across executive-level business stakeholders.Demonstrated track record of transforming ill-defined requirements into structured data science problems, serving as a technical leader for selecting and structuring scientifically rigorous methods, and breaking down large and complex problems that engage other engineers & scientists.Agility manipulating, synthesizing, and interpreting large and diverse datasets.Deep software engineering skills in an interpreted language. Ability to lead technical data science method and code reviews. Deep experience with statistical methods and software packages.MS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience12+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.) including project leadership.Demonstrated written and verbal communication, collaboration, and mentoring skills.Strong analytic storytelling skills.
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.


Principal Data Scientist

About Splunk:
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As part of Splunk’s R&D team, we are passionate about providing quantitative analytics and evidence to inform business decisions. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are seeking a Principal Data Scientist/Engineer who is passionate about framing and solving practical business questions with data-driven analytics.
Role:
As a Principal Data Scientist, you will partner with Splunk leaders to articulate crisp business questions and develop the architecture and methodologies needed to execute quantitative assessments and analytics that provide context and evidence to answer these questions. This will encompass creating a collaborative environment with other scientists and engineers to use quantitative analysis and data presentation to uncover the factors that drive business solutions. You will help architect and build the analytical experiments, models, reports, and dashboards and translate quantitative assessments into actionable insights.
Responsibilities:
Structure business questions and develop analysis plansLead analysis projects and guide other analysts/engineersEnsure production quality methods to retrieve, condition, validate, synthesize, and manipulate dataStructure and build analytical experiments, models, reports, and dashboards using statistical and other quantitative analytical methodsCreate order from chaos - provide structured solutions for ambiguous problems Translate metrics and analytics into digestible products that inform business decisionsIterate, document, and communicate throughout problem lifecycle
Requirements:
Passion for framing and solving practical data-driven business questionsSelf-starter with a demonstrated track record of critical thinking translated into concrete productsDemonstrated ability to work across business stakeholders, structure data science problems, independently execute analysis, and also mentor other engineers/scientistsMS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience 8+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.) including project leadershipDeep software engineering skills in an interpreted languageAgility manipulating, synthesizing, and interpreting large and diverse datasetsDeep experience with statistical methods and software packagesExcellent communication, collaboration, and mentoring skillsStrong analytic storytelling skills
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.


Senior Data Scientist

About Splunk:
Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!
As part of Splunk’s R&D team, we are passionate about providing quantitative analytics and evidence to inform business decisions. We partner with cross-functional business stakeholders to identify and address critical business questions and use data, analytical methods, and modeling to translate quantitative assessments into actionable insights. Analyses inform business challenges such as guiding product roadmaps, streamlining engineering development lifecycles, and accelerating customer adoption and utilization trends. We are hiring Data Scientists and Engineers who are passionate about solving practical business questions with data-driven analytics.
Role:
As a Data Scientist/Engineer, you will execute quantitative assessments and analytics that provide context and data-driven evidence to answer business questions. This will encompass identifying and parsing data, conducting exploratory analysis, identifying and visualizing trends, building and validating models, and translating quantitative assessments into actionable insights.
Responsibilities:
Develop and execute analysis plansIdentify and build systematic data pipelinesDevelop and maintain methods to retrieve, condition, validate, synthesize, and manipulate dataConduct exploratory analysisIdentify and visualizing trendsBuild and validate modelsIterate, document, and communicate throughout problem lifecycle
Requirements:
Passion for solving practical data-driven business questionsSelf-starter with a demonstrated track record of critical thinking translated into concrete productsMS or PhD in Computer Science, Statistics, Applied Math, Physics, Engineering or other technical field preferred or equivalent practical experience5+ years of professional experience in quantitative analysis, research, data science or engineering (statistics, applied math, inference, predictive methods, uncertainty quantification, design of experiments, etc.)Strong software engineering skills in an interpreted languageExperience manipulating and interpreting large and diverse datasetsStrong understanding of statistical methods and software packagesExcellent communication and collaboration skills
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.


Senior Data Scientist

All Signifyd Jobs
Senior Data Scientist
Apply now
Austin (Remote) • Chicago (Remote) • New York City • United States (Remote)
Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business.
We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.
Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.
Data Science at Signifyd
The Data Science team builds production machine learning models 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, individual contributors as well as team leads.  The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.
Here you’ll have the opportunity to:
Build production machine learning models that stop fraud rings
Think creatively to engineer new features 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
Work collaboratively with other teams across the company on strategies to tackle entirely new e-commerce verticals, geographical regions, and product offerings
Mentor other team members and help to foster a psychologically-safe environment that allows everyone on the team to leverage their full creativity and grow professionally
Past experience you’ll need:
A degree in computer science or a comparable quantitative field
At least 5 years of post-undergrad work experience
Building production machine learning models (they don’t need to have been related to fraud)
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Familiarity with the Linux command line
Bonus points if you have:
Previous work in fraud, payments, or e-commerce
A Master's Degree or PhD
#LI-Remote
Benefits in the USA:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace 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
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Data Scientist

All Signifyd Jobs
Data Scientist
Apply now
Austin (Remote) • Chicago (Remote) • New York City • Orlando (Remote) • United States (Remote)
Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business.
We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.
Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.
The Data Science team builds production machine learning models 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 team at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads. The challenges of working remotely aren't new to us and we have a track record of iterative improvements to our remote culture.
How you’ll have an impact:
Researching real-time emerging fraud patterns with our Risk Intelligence team
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Communicating complex ideas effectively to a variety of audiences
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Past experience you’ll need:
A degree in computer science or a comparable analytical field
At least 2-3 years of post-undergrad work experience required
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line
Bonus points if you have:
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD
#LI-Remote
Benefits in the USA:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace 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
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Senior Data Science Manager

All Signifyd Jobs
Senior Data Science Manager
Apply now
Austin (Remote) • Boston (Remote) • Chicago (Remote) • New York City (Remote) • Orlando (Remote) • United States (Remote)
Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business.
We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.
Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.
How you’ll have an impact:
Leading a team of Data Scientists and helping them set goals, collaborate, and scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines
Past experience you’ll need:
A degree in computer science or a comparable analytical field
2+ years of experience in people management with experience building teams and growing talent
At least 4 years of post-undergrad work experience required
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line
Experience we love to see:
Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
#LI-Remote
Benefits in our US offices:
4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace 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
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Senior Data Scientist

About komoot
Komoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!
Today, with over 25 million users and 200,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.
Join our fully remote team and change the way people explore!
About the role
We are now experiencing an accelerated growth and we're looking for an experienced Data Scientist dedicated to improving the product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 23 million users.
We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot's success.
Ready for your next adventure?

What you will do
Work on a wide range of data science projects: Examples include improving the ranking and composition of our feed, bringing our follower recommendations to the next level and helping us keep users engaged.Turn your ideas into data products ready for our production systems.Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers).Work with the Python Data Science Stack and a modern AWS infrastructure.Identify how to best leverage our data to improve our platform.Discuss product improvements, technical possibilities and road maps.

Why you will love it
You will deal with a diverse set of data (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...).You will go beyond prototyping and ship your code to productionYou will contribute to a product with a vision to inspire more people to go outdoors.You will work in a fast-paced startup with strongly motivated and talented co-workers.You will enjoy the freedom to organize yourself the way you want .We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, or anywhere else that lies in any time zone situated between UTC-1 and UTC+3.You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.
You will be successful in this position if you
Have a passion for finding pragmatic and smart solutions to complex problemsHave a solid understanding of math and statisticsHave 3+ years of industry experience in data scienceMaster Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoostBonus: TensorFlow, Keras or PyTorchKnow SQLLove to write clean, maintainable and tested Python codeHave experience productionising your data science solutionsHave strong communication and team skillsHave a hands-on attitude and are highly self-drivenBonus: Know statically typed languages such as Kotlin/Java/C or GoBonus: Have cloud experience (e.g. with AWS)Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)

Sound like you?
We would like to hear from you!
Your CV in English highlighting your most relevant experienceA write-up explaining who you are and why you are interested in working at komootExamples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, your blog or something else
Curious to find out more about our recruitment process?
Find out more info here: https://www.komoot.com/jobs-processAt komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.We have a rolling recruitment process. If this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?
Perks
Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!Get access to generous discounts from leading outdoor and cycling brands and moreFlexible working hours and locations3 all- expenses paid Company gatherings per yearThe latest devices and equipmentAnd more!


Director Of Data Science

Role
As Director of Data Science, you will lead a team of data scientists to inform, influence, support, and execute data-driven strategy and research in order to improve the lives of the people in crisis. You will champion data-informed culture across the organization to maximize the organization’s impact within the mental health industry. You will be promoting the team’s mission and vision, setting appropriate data-driven goals and selecting research methods that ground decision making in evidence. You will grow the data team and support performance, learning, and provide mentorship to advance professional development.
About Our Data
Since Crisis Text Line was founded in 2013, people in crisis have started over 6 million conversations with Crisis Counselors, and exchanged over 200 million text messages with them in the process. Our team of data scientists study this unparalleled dataset to better understand the language of mental health crisis and to inform operational decisions to serve our texters as Crisis Text Line scales over the next few years.
Responsibilities

Manage and mentor data team individual contributors and managers to help them advance in their careers and increase their proficiency with data and research, collaboration, and leadership skills;
Grow our data team, working with our recruiters to hire extraordinary people from varied backgrounds;
Develop and refine data team structures and processes to support our goals, including becoming an inclusive, diverse, and equitable organization;
Guide development of data and research capabilities and tools by providing input on collection, storage, and analysis methods, while promoting data and research best practices
Work closely with engineering, product, and other internal stakeholders to plan data strategy, scope out resource requirements, and craft timelines
Liaise with affiliates to understand problems, manage expectations and resolve issues;
Advise Senior Leadership Team on evidence-based decision making;
Support your team and direct reports by setting clear team and individual goals, providing consistent and actionable feedback, and encouraging professional development;
Actively support team learning on issues of data equity and ethics, and apply understanding through ongoing learning, reflecting and dialogue
Advocate for the data team and surface points of friction and blockers to team effectiveness and work to remove or mitigate as possible

Qualifications

3+ years of relevant leadership experience in managing a team and setting strategy
5+ years of relevant data and/or research experience
Strong people and project management skills
Effective communication skills
Hiring and talent development experience, including building a diverse team across levels and backgrounds
Demonstrated analytical, strategic, and leadership capabilities with the ability to thrive in a fast-paced and constantly evolving environment
Understanding and experience with best practices in critical data, scientific, and research domains including:

Data collection, storage, and analysis
Mixed research methods, including quantitative and qualitative
Metric development, metric-based goals, and applications of data to inform decision-making
Data governance, data equity, and ethics
Data security, privacy, and confidentiality
Machine Learning and Algorithms


Data Scientist

Title: Solstice Initiative Data ScientistTerm: Full-time Compensation: $100,000-120,000/yearLocation: RemotePosition Overview: Solstice Initiative is a nonprofit that empowers traditionally excluded communities towards a just and inclusive clean energy transition. As the fossil fuel industry continues to exacerbate the climate crisis, frontline communities bear the brunt of its effects while spending a disproportionate share of household income on their utility bills. Solstice works at the nexus of clean energy and social justice to provide all households, regardless of race, ethnicity, income, homeownership status or other factors access to clean energy through community-driven projects, research and innovation, clean energy education, and advocacy for inclusive clean energy policies Solstice Initiative is seeking an experienced Data Scientist to join our team and continue the development of our EnergyScore product and assist in Solstice’s research to expand access to clean energy in the United States. EnergyScore, an alternative to traditional credit scores, is a machine learning-based algorithm that improves access to clean energy products for low-to-moderate-income households. By predicting the probability of utility payment delinquency using several consumer datasets, Solstice can ensure better accuracy in consumer underwriting for clean energy while making the industry more inclusive.  The Data Scientist will work with Solstice’s C-Corporation arm, Solstice Power Technologies, to improve and commercialize our EnergyScore, a machine-learning based algorithm used to qualify consumers for residential clean energy products in lieu of FICO scores. In addition to working on our EnergyScore product, the Data Scientist will contribute to data analyses for other research and innovation projects that aim to expand access to clean energy in the U.S.  The Solstice team works with a start-up mentality where everyone equally contributes to our vision and strategy and prioritizes equity and inclusion in our internal and external work above all. The right candidate is passionate about environmental justice and social equity, is comfortable with project management, has an understanding of data science for sociotechnical systems, and at least a basic knowledge of machine learning. To be successful, you will need strong software skills, technical aptitude, communication skills and a collaborative work style. Candidates that may require additional accommodations for this role are welcomed and encouraged to apply.  Responsibilities: Be the primary owner for EnergyScore’s machine learning technology, including all previous work to-date and future improvements to the model Conduct research and analyses as to bias and fairness related to the EnergyScore product, including literature review and experimentation; implement findings to improve EnergyScore Partner with software development team to develop the EnergyScore model as a commercialized software product Develop plan for continuous improvement of EnergyScore model’s accuracy, inclusivity and fairness.  Analyze and report on outcomes and performance of EnergyScore model  Work alongside research team to analyze data sets for federally funded research projects related to equity in the solar energy sector, including multifactor regression analyses Communicate research findings to external audiences including funders and industry thought leaders  Publish papers or attend conferences to disseminate knowledge of Solstice’s research  Qualifications: Strong written and verbal communication skills: Translate complex concepts, findings, and limitations into concise, plain language in briefs and visualizations. Closely tie findings and conclusions into the agency mission, original problem statement and team objectives. Research and design presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling where appropriate Expertise with the core data science languages (such as Python, R, Scala), and familiarity & flexibility with database systems (e.g. SQL, NoSQL) Experience with designing and applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering) Study Design and Data Analysis: Consulting with stakeholders to identify the appropriate data, methodological approach, and design. Conduct analyses to explore/group data, test hypotheses, predict outcomes, estimate causal impacts of policy, and inform decisions. Understanding of or willingness to learn and apply knowledge from the field of fairness in AI and responsible AI practices Hands on experience with software design for scalability, reliability, and performance An M.S., P.H.D., or equivalent experience in a related discipline (Engineering, Mathematics, Physics, or C.S.) Demonstrated experience collaborating across diverse department and teams  Project Management skills Excellent organizational skills and critical thinking  Candidate must have an entrepreneurial and self-starting mentality Intellectual curiosity and a desire to always be learning Passionate about climate change and environmental and/or social justice  Willingness to work within equitable and inclusive frameworks and actively engage in ongoing learning about these frameworks within the mission of Solstice Nice to have: familiarity with javascript As a Data Scientist for Solstice You Will Gain: Ownership over the development of a sustainable, scalable, and replicable project model for inclusive community solar Access to a network of diverse stakeholders, including community advocates, industry leaders, and public officials at the forefront of policy, finance, and project innovation Deep understanding of the rapidly growing community solar and renewable energy space Solstice was founded to advance equity and inclusion in America. We are committed to living those values, not just in the work we do to promote environmental and energy justice, but in how we grow as an organization. We seek always to expand leadership opportunities for traditionally excluded communities in the global transition to clean energy.Solstice is an equal opportunity employer. We hire, train, compensate, and promote without regard to race, religion, gender identity or expression, sexual orientation, disability, age, national origin, genetics, veteran status, or any of the other characteristics that give each of us unique perspectives and capacities. We are committed to removing barriers to employment that are faced by equity-seeking groups and encourage (but do not require) members of these groups to self-identify as such in their application.We’re a team of mission-driven, passionate, and dedicated individuals. Apply today and get to know us!


Data Scientist

TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.

TaskRabbit is a remote-first company with employees distributed across the USA!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020

About the Job
Data and analytics are the lifeblood of TaskRabbit and we are building a data science team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning and Data Engineering.  We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a data scientist focusing on growth, you will work closely with a cross functional team of product managers, marketing managers, designers, and engineers. You will apply various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.  You will assist defining metrics and KPIs, design experiments to validate hypotheses and translate data into insights that would improve product, marketing and operational metrics.
As part of the Data Group, you will collaborate with other Data Scientists, drawing on their technical skills and expertise. Also, you will work with Data Engineers to ensure that the data platform and infrastructure provides you with the data and tools you need to do your job.
Join us in creating a better everyday life for everyday people.

Responsibilities:

Embed into a user group to support the data needs of the team, and enable stakeholders to make data driven solutions through Data Analysis and Statistical Modeling
Partner with the Data Engineering team to help support and build robust data pipelines, deploy ML Models and automate Scripts
Measure the impact of feature deployments through Statistical and Causal Inference
Develop ML Models to solve complex two-sided Marketplace problems

Qualifications:

Advanced degree in Computer Science, Statistics or related field
Minimum 2 years work experience as a Data Scientist or related position
Knowledge and experience with the following:

Data Analysis and Statistical Modeling
SQL (Advanced knowledge)
Python (Pandas, numpy, scipy, scikit-learn)
Dashboarding and Visualization
Measuring Feature Impact (Design of Experiment, A/B Testing, Causal Inference)
Cloud Computing (AWS or GCP)
Building Data Pipelines (Experience with DBT and Airflow a bonus)
Machine Learning
Able to communicate effectively with Stakeholders

About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.

You’ll love working here because:

TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.

Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.

Lead The Future Together. We value entrepreneurship and are inspire by action.

The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.

The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching,  generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office.

Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.


Senior Data Scientist Moderator Experience Analytics

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Reddit is the world’s largest network of communities. It’s a place where millions of people go to find a sense of belonging. Redditors directly create, manage, and grow all of the content & communities that comprise the Reddit experience. From r/askreddit to r/politics, or r/memes to r/parenting; these passionate communities and their moderators are what make Reddit tick.
The Moderators Experience team is seeking a Senior Data Scientist to lead our Data Science efforts on better serving our Moderators. You will use data to uncover insights around Moderator needs and partner with our Product & Engineering team to build tools that better suit their workflows so they can do what they do best: help our communities thrive.
How You’ll Have Impact:
Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. Moderators are some of our most important community members– they are crucial in creating safe, thriving and diverse subreddits  for our users. By understanding and contributing to better tools for our moderators, your work will directly contribute to making Reddit even greater.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world as well as a team of passionate Engineers, Designers, UXR researchers, and Product Managers to deep dive into the ins and outs of our Moderator’s behaviors and needs. You will also have access to one of the coolest data sets in the world: Reddit’s.
What You’ll Do:

Be the main point of contact for data science on the Moderators Experience team, working closely with Product and Engineering on understanding how moderators are interacting on the platform, their needs, and how can we set goals to effectively improve their experience
Lead Moderators Experience data science by being embedded on the Moderators Experience team for the full lifecycle of data analytics: from ideation and exploratory analyses to designing ETLs (extract/transform/load) to support dashboards/reports and A/B testing
Define data-driven KPIs and OKRs to ensure improvements in moderator happiness and efficiency
Proactively socialize & communicate insights, dashboards, and reports with technical & non-technical audiences to make meaningful recommendations and changes to the product roadmap

Who You Might Be:

6+ years of experience in quantitative or data science roles focused on product analytics
4+ years of experience with technical leadership, being the point person for one or more stakeholder groups
Familiar with statistical analysis and programming languages (e.g., R / Python)
Proficient with querying relational databases (e.g., SQL)
Demonstrated experience setting OKRs and KPIs for product functions
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Able to communicate and discuss complex topics with technical and non-technical audiences
Able to tackle ambiguous and undefined problems


Senior Data Scientist Economy Analytics

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
We are looking for a  Senior Data Scientist to work with our Economy team. The Economy team is part of the Special Projects division at Reddit and is among the most innovative and forward-looking teams at the company. Together we’re trying to build an Internet of free, independent communities that are powered by a fun, collaborative economy. Our goal is to find new monetization models that restore the balance of power online, putting it back in the hands of the people.
As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build Reddit’s most exciting products with a best-in-class team and a tight-knit customer community.
How You’ll Have Impact:
You’ll be the expert in ensuring we understand what users are doing on the platform and what they would be willing to pay money for. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).
What You’ll Do:

Partner with Eng and Product to define and execute roadmap and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Communicate findings and co-design strategy with the most senior leaders in our organization
Lead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.

Who You Might Be:

4+ years of experience in Data Science or Analytics function in a tech consumer company
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Ability to tackle ambiguous and undefined problems. Experience with monetizing consumer products or paid digital goods preferred
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences


Data Scientist Bidder

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 90 billion 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.

Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:

Design and test predictive models at large scale that control real money and target specific financial goals
Train, tune, and enhance production models written with Python and Scala
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and data observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business, Product, Data, and Engineering teams to co-own the rollout of new product offerings
Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Statistics, Math, Economics, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Self-starter who wants to own the solutions to problems and drive toward completion of projects
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
Strong experience in improving performance of queries and data jobs and scaling the system for exponential growth in data

Bonus to have:

Knowledge of distributed tools and frameworks, like Spark/Hadoop for quick train/deploy cycles
Background/familiarity with control theory
Experience in the ad tech and/or mobile space

Perks:

The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
The chance to participate in Zynga’s employee stock purchase plan (ESPP)
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.


Senior Data Scientist

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 90 billion 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 Data Scientist to join a new team focused on the development of our real-time bidder, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.
Impact you will make:

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
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
Strong experience in improving performance of queries and data jobs and scaling the system for exponential growth in data

Bonus to have

Knowledge of distributed tools and frameworks, like Spark/Hadoop for quick train/deploy cycles
Experience in the ad tech and/or mobile space

Perks:

The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
The chance to participate in Zynga’s employee stock purchase plan (ESPP)
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.


Applied Machine Learning Scientist

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 90 billion 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.

Impact you will make:

Apply, develop, optimize, benchmark and productionize ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Stay current on technology trends and developments in the relevant ML areas

Who you are:

PhD (or Msc)  in computer science, machine learning or related fields.
Strong practical experience and knowledge of the mathematical concepts behind algorithms in several of the following areas: supervised learning, reinforcement learning, deep learning, multi-armed bandit, multimodal machine learning, online learning.
Proficiency in Python and machine learning frameworks such as Pytorch and Tensorflow.
Experience with distributed training and inference pipelines on large datasets.
A willingness to branch out to learn new domains/ approaches and make progress independently.

Bonus to have:

Experience in the ad tech and/or mobile space.
Hands-on experience in large scale production grade machine learning systems.

Perks:

The opportunity to help continue to build a company with the founding team
Restricted Stock Units (RSUs) - you will have a stake in the future success of Chartboost and Zynga
Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

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.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.


Data Scientist Analytics

Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
The Opportunity
We are looking for talented Data Scientists with a passion for addressing business needs through data modeling and analysis to join our team. As an individual contributor on this team, you will work with senior members of the team and internal partners from across the organization. This position requires strong problem-solving, analytical and communication skills; experience with multitasking and prioritizing in a fast-paced environment; and the tenacity to execute against deliverables in a timely, high-quality fashion. Health data experience is a plus.
Accountabilities:

Derive insights from descriptive analysis using multiple datasets including user activity on the Quartet platform, medical claims, pharmacy claims etc.
Apply statistical techniques to model healthcare utilization patterns and evaluate care outcomes
Support a data-informed process for experimenting with new products or operational workflows to improve patient outcomes
Design and implement metrics, run and interpret experiments, draw causal inferences and create visualizations and dashboards

Minimum Qualifications:

Bachelor's degree in a quantitative field.
Professional experience working at a Healthcare or Health Insurance company
3+ years of experience in a technical Data-focused role (Data Scientist, Data Engineer, Data Analyst, BI Analyst, Actuary)
Knowledge of statistics fundamentals.
Experience with SQL.
Programming proficiency in Python or R
Ability to clearly communicate across disciplines and work collaboratively.

Preferred Qualifications:

Experience (professional or otherwise) working with value-based care or healthcare quality measurement
Graduate degree in a quantitative field or Public Health
Experience building software products
Analytics-related experience (building products, working with dashboarding tools, etc.)

Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, catered lunches, snacks, team events and outings, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental leave, commuter benefits, 401K, stock option grants, gym benefits.

Want to know what Quartet life is like? Click here to meet our team.

Quartet is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.

Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. jsmith@quartethealth.com). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: security@quartethealth.com.

Have someone to refer? Email talent@quartethealth.com to submit their details to us.


Data Scientist

Hi there!
We're looking for Data Scientists to join the Data Insights team at Zapier.
Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.
Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!
If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…
Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier
About You
You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.
You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.
You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.
You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.
You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.
You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.
You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.
Things You Might Do
Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:
Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
Drive proactive analysis/research into high-potential green fields.
Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
Ensure all teams have insight to data and can answer their own first-order questions.
Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R.
As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.
Travel - we come together 2-3 times per year for our employee retreats, typically in North America. You should expect to travel between 5 percent.
The Whole Package
Our flexible, distributed environment lets us work with the best people from around the world. Zapiens live in 40+ countries, including the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more!
Zapier offers:
Competitive salary
Healthcare + dental + vision coverage*
Retirement plan with 4% company match*
Profit-sharing program for 100% of Zapiens
$2,000 annual learning stipend for use on courses, conferences, and more—your choice
Two annual all-company retreats
14 weeks paid leave for new parents of biological or adopted children
Customized Zapiversary rewards on your 1, 3, 5, 7 and 10 year work anniversaries
Leading-edge equipment. We set you up with an Apple laptop and provide an additional budget for you to choose other home office accessories and software you may need.
Time to renew. We encourage Zapiens to take at least 2 weeks off each year. Most of us take 4-5 weeks, in addition to locally recognized holidays.
Opportunity to work with Zapier’s amazing partners network
*While we take care of Zapiens around the world the best we can, healthcare and retirement plans are currently available specifically in the UK, Canada, and United States.
How to Apply
We have a non-standard application process designed to promote inclusion and equity. We first ask a few questions in our application form that would typically be asked at the start of an initial interview. This helps speed up the process and lets us get to know you a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to make sure you never go more than seven days without hearing from us.
Zapier is an equal opportunity employer. We're excited to work with talented and empathetic people, and do not discriminate based on race, color, sex, gender identity or expression, sexual orientation, religion, national origin, physical or mental disability, military or veteran status, genetic information, pregnancy, age, or any other status protected by local law. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.
Zapier is is committed to inclusion. As part of this commitment, Zapier will ensure that people with disabilities are provided reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.


Data Scientist Machine Learning Intern

Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.

Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.

Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.

To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.

With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.

Quizlet offers an exciting 2022 Summer Internship Program from either June 6th - August 12th or June 27th - September 2nd. Our program is a 10-week paid internship that focuses on enabling students to advance their professional preparation through work experience, professional development, and mentorship. We have a fun summer planned for you with several events and workshops. You will work on real projects, features, and updates that will contribute to Quizlet and impact our 50 million+ users.

While Quizlet has offices in San Francisco, CA, Denver CO, and NYC, our internship program will be fully remote.

About the Data Science/ML Team:

Quizlet’s Machine Learning is core to Quizlet’s vision in being an AI tutor for everyone. We inspire, validate, build, and continuously improve ML/AI products to scale learning. Some things we’ve worked on include personalized learning experiences by modeling how students learn, smart assessment, and understanding our vast UGC study content (e.g. with subject classification). We make use of our unique data of billions of study interactions (per week!), learning science, diverse domain expertise, and many kinds of ML algorithms.

In this internship, you will:

Help match students to relevant study content through search and recommendations
Improve our search relevancy and functionality: including using Learning To Rank (LTR) methods, adding new behavioral and school/course signals utilizing our unique data, and building query understanding
Build our understanding of course syllabi and sequencing to help students structure their studying
Implement solutions in production: writing production tables/services or directly improving our production search ranking code in Hacklang

The ideal candidate will have:

Experience writing code in Python and SQL
A solid understanding of various ML models
A compassionate, team-player mentality; you see your growth and success entangled with the growth and success of your peers
Rising Senior or Senior status (preferred)

Bonus points if you have:

A proven track record of delivering impactful, production ML solutions
Experience and fluency in search, recommendations and/or NLP

Compensation:
Colorado candidates: Base pay for this role starts at $40 per hour.  The actual pay may be higher depending on your skills, qualifications, and experience

We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.

Quizlet's Team Culture
We are here to make education better and more accessible. We strive to improve the lives of students and teachers at every stage and in every setting. We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do. We sweat the details and take personal accountability and pride in anything that carries the Quizlet name. We speak up, jump in and work with each other to fix problems, and never say "that's not my job." We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.

Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!


Senior Data Scientist Ads Machine Learning

We are looking for a Machine Learning Data Scientist to work within the Ads Data team. You will work closely with engineers and product owners from our Ads team to optimize ads delivery and auction systems. In addition to strong modeling skills, this person has a solid business acumen and understands what is important to advertisers.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Build optimization algorithms that improve ad yields and efficiencies. Some of the models we developed over the last year are CPC (cost per click), CPI (cost per install), Generalized pCVR (probability of conversion rate), ALO (Ad Level Optimization) and User Lookalikes. You will not only work on improving existing optimization models, but also develop new models from scratch for a variety of upcoming product launches.
Build and improve Machine Learning algorithms that match ads to the most relevant users. Some of the algorithms/techniques used are Logistic Regression, Gradient Boosted Decision Trees, Random Forests, Hyperparameter tuning, Thompson Sampling, Monte Carlo simulations, Semantic Embedding models etc.
Build a platform for rapid model iteration and feature engineering at scale. Some of our optimization models are iterated on and deployed in production every 2 weeks.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data, along with working on ETLs and data aggregations.
Serve as a thought-partner for product managers, engineering managers and leadership in influencing the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Deeply understand ad auctions and how bid densities affect CPMs, CPCs and revenue
Develop familiarity with different types of ads such as managed/reserved, auction, takeover and self-serve; and understand specific interplays amongst those ads.
Work closely with our Sales and Marketing partners so the ads are set up in a way that amplifies the benefits of your optimization models.

What We Can Expect From You:

Bachelor’s degree or above in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
Proficiency in Machine Learning
Proficiency with statistical analysis and programming languages (Python, SQL)
Understanding of experimentation and causal inference analyses
Master’s or PhD degree preferred but not required.
2+ years of experience (for Bachelor’s); 1+ years of experience (for Master’s/Phd) in quantitative/modeling roles, preferably for a consumer-facing service/app
Experience in online advertising is preferred but not required


Data Scientist

The future of fitness lies in data, and we’re looking for a Data Scientist to help usher in the next phase of growth for Fitbod. Data analysis is a core competency at Fitbod, and you will work with a leadership team with broad experience in Data Science and a proven record of turning health and activity data into concrete fitness guidance.

Responsibilities

Measuring and monitoring core business metrics such as active users, customer retention, subscriber acquisition costs, and customer lifetime value.
Identifying North Star metrics for measuring the impact of product, marketing and business features/decisions, using data insights to propose next steps on the company roadmap
Doing deep data dives into workout histories in order to derive insights into user behavior. Leveraging these insights to identify opportunities to optimize algorithm recommendations
Influencing other teams (Product, Engineering, Customer Success, Marketing, etc) through presentations of data-centric reports, communicating the current and projected state of the business
Analyzing results of A/B tests, communicate hypothesis testing’s conclusions to non-technical teams
Building and maintaining dashboards that effectively communicate data insights
Working primarily on GCP, with a data stack that includes: Airflow, Big Query, Python and Tableau
Automating analyses, model predictions/forecasts, and dashboards via our ETL framework using Python and SQL

Minimum Qualifications

Fluency in Python, including libraries such as Pandas and Numpy
Fluency in SQL
Cloud Computing: basic understanding of cloud computing platforms (AWS, GCP), including the ability to ssh into a vm and develop remotely.
Solid understanding of statistical inference (e.g. hypothesis testing, regressions), experimental design, and analysis.
Compose reports that apply statistical and econometric models on large datasets.
1+ years of experience with Python and/or PySpark conducting Supervised Learning, Regression Analysis and Time Series Analysis
1+ years of experience communicating the results of analyses with product and leadership teams to influence the strategy of the product
B.S or higher in Statistics, Computer Science, Business Analytics or related field

Preferred Qualifications

Experience productionizing ML Models
Experience with Spark and PySpark
Experience with Airflow
Experience with Flask
Given that you will work across a variety of domains in this role, the ideal hire will have some experience in product analytics, marketing, and operations analytics.
Fitness-minded, practicing strength-trainer, or possess knowledge about strength-training best practices.

Try our app for free! https://www.fitbod.me/

Positions are remote-only, with the option to work from our SF office when it is safe to do so.

We are looking for full-time teammates! Positions include a full benefits package including: Full Medical, Vision, Dental, Life & Disability Insurance, flexible time-off, Slavic 401(k) with a 4% company match, company-wide days off for wellness & social lunches (via Zoom of course), a stipend for the gym/fitness, and all employees are able to expense up to $2000USD/year for continuing their development while employed with Fitbod!

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 identity, sexual orientation, age, marital status, veteran status, or Fitbod Applicant and Worker Privacy Notice.

By submitting your information, you agree that you have read and agree to the terms in our Fitbod Applicant and Worker Privacy Notice
APPLY FOR THIS JOB

By submitting your information, you agree that you have read and agree to the terms in our Fitbod Applicant and Worker Privacy Notice


Data Scientist Product

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Team:

The mission of the Data team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper-growth start-up.

About the Role:

As a thought partner to our product team, you will work closely with product managers, engineers, and designers to define success metrics, design experiments, build visualizations, discover insights and ultimately shape product and company strategy. You will also have the opportunity to interact with Executives and other cross-functional teams to develop and deliver actionable recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.

What You’ll Do:

Define product success metrics, build/maintain dashboards to monitor the health of our products and understand changes to our KPIs
Partner with Product and Engineering teams to solve problems and identify trends and opportunities by mining massive amounts of data and extracting useful product insights
Design and evaluate experiments
Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

What We’re Looking For:

Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
1+ years of experience in data science and analytics
Excellent data manipulation skills, proficiency in SQL. Experience with Python or R is a plus
Experience visualizing data and building dashboards. (eg. Tableau, Metabase, Looker, etc.)
Strong problem solving skills and ability to translate business requirements into analytical questions
A team player who can collaborate with engineers, product managers, marketers and other cross-functional teams
Effectively communicate insights and recommendations to cross-functional partners; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Gives You an Edge:

Experience and/or knowledge in experimental design and applied statistics (i.e. A/B testing) in an industry setting
Experience with developing statistical frameworks to understand users and their behaviors
Experience in a product-focused role at a technology company
Experience identifying, scoping and driving data science projects with cross-functional partners and high business impact

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.

Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.

Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

#LI-Remote


Data Scientist G M

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Role:

The mission of Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructures, metrics, insights, and models, to empower data-driven thinking, and optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within a hyper growth start-up.

We are now looking for a talented and driven individual to accelerate data science efforts and boost our Growth and Marketing trajectory. This person will work closely with our Marketing executives and operation teams to develop and deliver actionable recommendations to drive better and faster decisions. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact, through creative storytelling and timely actions.

What We’re Looking For:

+ 1 years of experience in data science and analytics
Strong proficiency in SQL and Python (or R) (+1 years of experience)
Proficiency in data visualization (eg. Tableau, R-shiny, Python, Metabase, Looker, Matlab, etc.)Strong skills or experience in applying machine learning and causal inference to business domain
Bachelor or advanced degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
The ability to communicate cross-functionally, derive requirements and deliver insightful analysis and/or models; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives

What Gives You an Edge:

Experience and knowledge in Marketing Attribution modeling and ROI measurement
Experience and/or knowledge in statistical modeling and casual inference
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives
Experience in developing measurement across marketing activities and working with Growth and Marketing domain

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact.

Confluent requires all employees (in office and remote) in the U.S. to be vaccinated for COVID-19. Consistent with federal, state, and local requirements, Confluent will consider requests for reasonable accommodation based on medical conditions/contraindications or sincerely-held religious beliefs where it is able to do so without undue hardship to the company.

Click here to review our California Candidate Privacy Notice, which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

#LI-Remote


Applied Data Scientist

We are Leaf

Leaf is on a mission to upend the way companies buy and sell transportation. Every year, billions of dollars, hundreds of megatons of carbon and millions of person-hours are wasted because the companies who ship goods and the companies who carry them aren’t upfront about their needs and abilities. Our platform finds ways for buyers and sellers to contract binding commitments for plannable and predictable freight and allows those contracts to be traded when needs change. In time, Leaf will become the hub through which the trillion-dollar American freight market is managed.

We are a team of experienced, smart, and mildly disagreeable troublemakers who like taking on unreasonably big challenges; we know how to build things, we’ve lived what’s broken in this industry, and we’re looking for bright, ambitious people to help us drag the transportation world kicking and screaming into the 21st century.

What does an applied data scientist do at Leaf?

We ingest, clean and process large amounts of data from a variety of sources including shippers, carriers, 3PLs and 3rd party data providers.

We are looking for data scientists who will:

●      Run Leaf’s internal engine to process incoming data and turn these into meaningful insights for our internal teams and customers

●    Identify and quantify business value applying a diverse set of supply chain improvement levers
●    Ensure high level of quality of results generated by Leaf’s algorithms

●       Provide feedback to the rest of the data science and engineering team to ensure continuous improvement of the internal data engine

●      Build visualizations to clearly communicate results and customer business value

●      Perform ad-hoc and on-demand analyses for internal stakeholders and customers

●     Prioritize your time and attention to maximize the impact of limited resources

Who makes a good applied data scientist?

You should be curious, relentless about asking questions until you understand something, and unafraid to acknowledge facts that don’t point in the direction you want them to. Be humble in the face of data, but tenacious in asserting the facts you know.

Be willing to work with people you disagree with; be eager for criticism, and constantly searching for ways to do what you do better. Never be content with things the way they are, but don’t let the quest for something perfect prevent you from shipping something good.

Experience in wider supply chain, especially truckload, is useful. You will need to be experienced with Python, and SQL as well as familiarity with the majority of the following:

●     Geospatial analysis

●     Pattern recognition

●     Clustering

●     Time series forecasting

●     Graph-theoretic techniques for network analysis

We’re also a startup, priorities change all the time, something’s always on fire, and there’s twice as much work to do as hands to do it and new challenges surface constantly, and that you will need to be able to manage how you spend your time in the midst of conflicting priorities.

#LI-remote

Compensation

Leaf offers a very comprehensive compensation package including competitive base salary, variable compensation and health benefits.

Leaf Logistics is an equal-opportunity employer and we welcome applicants from all backgrounds. If you’re a passionate team player who wants to have an outsized impact on a diverse and dynamic team, we’d love to hear from you!