Data Science Manager Product Platform

Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.

Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.

We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us!  Read our Culture Manual and learn more about how we work.

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.

About the team

The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by:

Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions

About the role

We are looking for a Data Science Manager who has strong foundations in data modelling, statistics and product analytics to work with the Product Platform team. As Wealthsimple continues to scale, our ability to enable customers to transfer assets seamlessly, understand financial data, and protect against fraud is critical. The platform organization is responsible for building the services that power all of the Wealthsimple products. These core services are shared across the platform with the goal of improving the speed at which we scale and launch new products and continue to improve our current offerings.

As the Data Science Manager of Product Platform, you will manage and grow a team of Data Scientists and partner with the platform team to help build the best core services. This role requires partnership and collaboration across various internal teams (especially finance, operations and risk), a deep understanding of our customers, and the ability to deliver financial products and streamline complex business flows via a fantastic user experience. The perfect candidate will be scrappy, focused on results and have a demonstrated track record of driving data-informed decisions.

In this role, you will have the opportunity to:

Own the data science strategy for metrics and data models for the Product Platform team
Build and maintain new data models that are accurate and reliable
Design, define, and implement metrics and dimensions to enable analysis and predictive modelling
Partner with Product and Engineering teams to solve impactful problems
Think outside the box and design experiments to test hypotheses
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Help build and lead a great data science team to deliver world-class products
Get the best out of the team by leveraging their diverse educational backgrounds.
Teach and learn from their teammates. We value making others successful.

Skills we are looking for:

Excellent Python & SQL skills.
Strong understanding of statistics: both frequentist and Bayesian approaches.
Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting.
Strong understanding of fundamental machine-learning algorithms: regression and decision trees.
First hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
Excellent communicator who is able to present results and analysis to senior leadership
Experience in managing team members in a formal or informal capacity
It’s a bonus if you have hands-on experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau.


Data Science Manager Cash

Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.

Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.

We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us!  Read our Culture Manual and learn more about how we work.

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.

About the team

The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by:

Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions

About the role

We are looking for a Data Science Manager who has strong foundations in data modelling, statistics and product analytics to work on Wealthsimple Cash. Wealthsimple Cash is a mobile-first peer-to-peer payments product that allows anyone to instantly send money to friends and family for free. But that’s just the beginning. We’re on a mission to create the most human everyday banking platform in Canada: a simple, beautiful, and no-cost option that makes sending, saving, and spending money fast, fun, and rewarding.

As the Data Science Manager of Cash, you will manage and grow a team of Data Scientists and collaborate with product managers, engineers, and designers to unlock unique growth opportunities for the Cash product. This includes, but is not limited to, finding innovate ways to utilize peer-to-peer network data, design experiments to test hypotheses and perform statistical analysis to inform business and product decisions. The perfect candidate will be scrappy, focused on results and have a demonstrated track record of driving data-informed decisions.

In this role, you will have the opportunity to:

Own the data science strategy for metrics and data models for the Wealthsimple Cash team
Build and maintain new data models that are accurate and reliable
Design, define, and implement metrics and dimensions to enable analysis and predictive modelling
Partner with Product and Engineering teams to solve impactful problems
Think outside the box and design experiments to test hypotheses
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Help build and lead a great data science team to deliver world-class products
Get the best out of the team by leveraging their diverse educational backgrounds
Teach and learn from their teammates. We value making others successful

Skills we are looking for:

Excellent Python & SQL skills
Strong understanding of statistics: both frequentist and Bayesian approaches
Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
Strong understanding of fundamental machine-learning algorithms: regression and decision trees
First hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
Excellent communicator who is able to present results and analysis to senior leadership
Experience in managing team members in a formal or informal capacity
It’s a bonus if you have hands-on experience with Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau


Senior Data Scientist Trust Safety

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

About the Role:

A Senior Data Scientist focusing on trust and safety will own the future of intelligence that protects the physical security of Opendoor’s – totaling billions of dollars – housing assets. This individual will partner with Product, Engineering, and Operation teams to drive the business forward with data. They will build machine learning/optimization models to help Opendoor detect and prevent malicious activities, while ensuring safe visits for our customers and agents when occupying our homes. This individual will play a critical role in continuing to develop Opendoor's brand recognition as a safe and trustworthy platform that fulfills residential real estate needs.

As a Senior Data Scientist, you will:

Define the data strategy and design the next generation intelligent systems to improve our home security and operations practices
Propose optimal detection sensor mixes and human-machine interacted risk prevention strategies
Build models and policies to detect risky patterns from various data sources
Become a domain expert in real estate and home operations

We’re looking for teammates who have:

Expertise in statistical inference and machine learning modeling
Proficiency in working with complex and fast-evolving data sets
Strong written and verbal communication skills to influence non-technical audiences with analytical insights
5+ years of industry experience post academia, with advanced degree in a quantitative field
Proficiency in SQL or any other database languages and numeric programming in Python, R or other languages

We’d love if you have any of the following skillsets:

Fraud detection or risk management
Working with hardware or sensor data
Optimization of resource allocations
Algorithm assisted human decision systems
Practical industry experience in data science in physical security space

More About Us:

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

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

Opendoor Values Openness:

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


Senior Data Scientist Marketing

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

About the Role:
A Senior Data Scientist focusing on marketing optimization will partner with Marketing, Product, Engineering, and Operation teams to drive the business forward with data. They will set up data and measurement strategies to understand the effectiveness of our marketing strategies. They will also understand marketing effectiveness through experimentation and causal inference, while building machine learning/optimization models to optimize our channel mix and targeting strategies.

As a Senior Data Scientist, you will:

Design the next generation intelligent systems to improve our marketing strategies for real estate customers
Build models and policies to help marketing operations and marketing technology teams to achieve their business objectives
Design experiments and conduct causal inference to determine the effects of our marketing investment decisions
Become a domain expert in real estate

We’re looking for teammates who have:

Expertise in statistical inference and machine learning modeling
Proficiency in working with complex and fast-evolving data sets
Experience in experimental design and strong product sense
Strong written and verbal communication skills to influence non-technical audiences with analytical insights
5+ years of industry experience post academia with an advanced degree in a quantitative field
Proficiency in SQL or any other database languages and numeric programming in Python, R, or other languages

We’d love if you have any of the following skillsets:

Familiarity with state-of-art marketing optimization solutions
Knowledge of vendors in the marketing science space
Optimization under uncertainty and risk management

More About Us:

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

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

Opendoor Values Openness:

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


Data Scientist

Who We Are:Lirio is the leader in behavior change AI, combining behavioral science with artificial intelligence to move people to better health. Through Precision Nudging™, our intelligent behavior change journeys assemble and deliver tailored, behavioral interventions to overcome unique barriers to engaging with and acting on health recommendations. By scaling personalized interventions, our clients deliver patient and member-focused experiences that initiate and drive sustained behaviors across their entire population, optimizing engagement, closing gaps in care, lowering costs, and measurably improving health outcomes.
Who You Are:You’re passionate about transforming people’s health through technology. You’re looking to be part of a dynamic organization that moves quickly, where you can learn and grow and work alongside colleagues to develop and improve our solutions. You have a growth mindset and seek progress over perfection.
What You'll Be Doing:The Data Scientist is responsible for the development and technical implementation of approaches to data analysis and visualization across Lirio’s Behavior Change AI Platform. This role will involve working closely with behavioral scientists, computer scientists, machine learning engineers and data engineers to design methods, systems and visual analytics that will enable the derivation of insights into the efficacy of Lirio behavior change programs, platform operations and machine learning workflows. Tasking for this position will include exploratory data analysis, analytics code development, visual analytics design and development, and contributions to the Lirio Analytics and Reporting Roadmap. Additionally, this role will embrace Lirio’s culture of cross-team collaboration and work closely with Lirio leadership in shaping our data science strategy. The role requires a forward-thinker who is curious about technology and will help Lirio adapt and evolve as technology and customer needs constantly change.
Analytics Development (60%)• Develop and implement analytic insights into the engagement efficacy of the behavioral science libraries and machine learning workflows in the Lirio AI Behavior Change Platform.• Design and implement interactive visual analytics that allow internal and external users to evaluated and analyze the Lirio Platform and its engagement performance. • Contribute to the design, implementation and analysis of Randomized Control Trials (RCTs) for evaluation of engagement performance.• Contribute to the Lirio customer reports and marketing materials using developed analytic approaches.• Adheres to the company’s overall software quality, cadence and delivery lifecycle through automation and CI/CD pipelines using DevSecOps methodologies.
Applied Data Analytics Research (10%)• Research/develop approaches to analysis and visualization of health care engagement data, relating demographics and behavioral science factors to client/program outcomes.• Contribute to Lirio technology roadmaps.
Analytics Operations (30%)• Support new clients/programs onboarding processes by translating client requirements into technical executable processes.
Required Qualifications:• Bachelor’s degree (Master’s preferred) in Computer Science, Engineering,Mathematics, or a related field.• 3+ years of experience developing software, competency with python preferred.• 3+ years of experience developing analytics for insight into complex data.• 3+ years experience developing visual analytics in javascript/D3• Experience developing with data science and machine-learning software libraries preferred, such as pandas, Tensorflow, R, or PyTorch.• Experience with application development frameworks, Angular preferred.• Experience with database technologies, data warehousing, and hands-on experience writing SQL queries.• Experience using build tools with continuous integration or continuous delivery. • Strong understanding of the agile software development process. • Experience with cloud service technologies, specifically AWS.
Perks• Competitive compensation• Developmental opportunities to grow your career• Comprehensive benefit package• 401K matching (immediately vested)• Flexible/Unlimited PTO• 10 Paid Holidays• Strong emphasis on work-life balance


Senior Data Scientist

A bit about us:

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.

Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.

A bit about this role:

The Senior Data Scientist will serve as a liaison to our Operational teams to answer important and timely questions about the health of the business; build robust data pipelines that underpin data-driven products and operations; and drive a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency.  You will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.

We are looking to fill two roles.  One that is focused on Risk and another that is focused on Clinical.

The Risk Data Scientist will help lead the organization in understanding member clinical acuity as defined by CMS RAF score. This person will become an expert in all things related to Risk, including RAF, Clinical Suspecting logic, Predictive Modeling, and CMS Funding. This is a high profile role working to improve a function which is core to Devoted's success.

The Clinical Data Scientist will help lead the organization in understanding how well our clinical programs are working, which patients we should target for which programs, and help identify our members who are most at risk. This role will interface close with our CMO and other clinical leaders to help answer questions related to our members well-being.

Responsibilities will include:

Working closely with key business stakeholders to understand the analytical needs of the business and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help Operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve our tools and processes so we can deliver results more quickly and accurately
Communicating results to an audience of mixed technical backgrounds

Required skills and experience:

Ability to work in a fast-paced startup environment
5+ years of individual technical contributor experience
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis to influence the business

#LI-BC1
#LI-Remote

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.


Sr Data Scientist

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

Helping to design, build, document, evaluate, and maintain statistical models and related data pipelines
Working on a cross-functional team with other data scientists, engineers, a product manager, and a designer  to develop data science products
Following best practices with respect to engineering standards, including data privacy and security

Minimum Qualifications

A Master’s/Ph.D. in a quantitative field, or equivalent work experience in data science, statistics, or machine learning

Work experience related to data science, statistics, or machine learning. This could include research work in a PhD program.
Familiarity and willingness to work with the Python and R programming languages
US work authorization

Preferred Qualifications

Extensive experience with any of the following:

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

Extensive experience developing software in Python and R

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

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

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

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

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data analytics, data science, data engineering and infrastructure. This position is within our data science practice which focuses on delivering solutions via machine learning and statistical modelling.
What you will do
As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Data Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle – from problem definition to model automation and deployment.  A Principal Data Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company.
Who we are looking for
We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems.  You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end machine learning pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.
Expert in descriptive statistics and statistical methods with applications in machine learning (e.g., correlation, regression, clustering) Highly proficient with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and NLP. (Optimization and simulation experience preferred) Practical programming experience in Python, R, MATLAB, Spark/PySpark, SQL, and/or other related programming languages Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results 5+ years of practical data science experience 5+ years of consulting experience (preferred) MSc/PhD in a STEM-related field Self-starter with excellent communication skills, able to work independently, and lead projects, initiatives, and/or people Experience in automation and deployment of models using Sagemaker or AWS, or a relevant alternative
Comfortable with learning networks using tensorflow or pytorch  Familiar with data visualization platforms such as PowerBI and Tableau Willingness to travel
We are actively considering applicants that are fully remote within the US.


Chief Data Scientist

About Moonshot Brands
We are Moonshot Brands, a Y-combinator-backed company (W21) with $160M in debt and equity funding from leading Silicon Valley VC firms, including Victory Park Capital, Liquid 2 Ventures (Joe Montana), and Garage Capital. Among our founding team of MIT Sloan and Wharton graduates, we have operated and sold five businesses and have come together as Moonshot Brands to acquire, operate, and grow profitable e-commerce brands.
From our experience, we want to build the acquisition process that we wish we could have had and to provide the post-acquisition resources to grow your business to the fullest potential. As entrepreneurs ourselves, we believe in empowering our founders, giving them a stake in Moonshot’s continued success, and collaborating with an all-star team to change the e-commerce landscape. We connect our portfolio to growth capital, data, and expertise in operations, marketing, supply chain management, and product development to provide owner-operators with infrastructure to grow and compete at scale. At the same time, we believe in our entrepreneurs and want to keep them engaged in the shared success of Moonshot Brands by offering meaningful equity tied to Moonshot’s mission. Moonshot is building a technology-centric ecosystem to provide our portfolio with cutting-edge tools and data-driven insights to succeed in global marketplaces. From inventory forecasting to performance marketing and automations, we are building the technology that allows brands to achieve peak performance and win in their markets.
If you’d like to be part of this Moonshot which will be a fun fast-paced rocketship that will drive the future of e-commerce brands and you think you add significant value to our mission we’d love to hear from you.
About The Role
Moonshot Brands is seeking a high-performing Data Scientist to support both our internal and portfolio company operations. In this role you will work to uncover patterns and generate insights by building and deploying predictive machine learning models that assist with our sourcing and optimization of portfolio company sales, marketing and operations. The candidate will have exposure across all of Moonshot’s portfolio companies and create broad top-down strategies as well as brand specific solutions based on analytical rigor. The Data Scientist will also provide perspective on Moonshot’s collection of data that will be analyzed to inform future business decisions. This role requires a high level of autonomy.
Responsibilities include:
Setting strategies for data collection, maintenance, analysis and utility of insightsIdentifying business problems to solve with data-driven approachesOverseeing machine learning, AI and algorithmic development that automates various aspects of our deal operations and portfolio operations workflowsAnalyzing sales, marketing, logistics and other operational data to generate insights on opportunities for improvementDesign and implement algorithms to tackle a wide variety of datasets using open source libraries, third party API’s and in house developed algorithmsAnalyzing marketplace data to identify potential opportunities for acquisitionReporting on patterns and insights to cross-functional teams of M&A professionals, operators, and e-commerce brand foundersEstablish partnerships with technology and data vendors that aid in accomplishing Moonshot’s analytics strategyIdentify opportunities for continuous improvement to processes and propose solutions to be implementedFoster effective dialogue with cross-functional teams to facilitate processes. Anticipate needs and challenges and provide seamless solutionsEnsure all activities are in compliance with applicable rules, regulations, policies and proceduresAdditional responsibilities as requested
Qualifications
5+ years of proven experience as a Data Scientist, similar role or career progression.Experience working as a data scientist in CPG/Retail/e-Commerce companiesDeep knowledge in statistics, Machine Learning and Time Series Forecasting/AnalysisKnowledge of data management, data engineering and visualization techniquesExperience in writing complex SQL queries and working in a multi-database environmentRelevant scientific academic background - ability to read and implement insights from academic papersKnowledge in building production-ready code (Object Oriented, Design Patterns etc.) - a plusExperience with Big Data technologies such as Spark, Hadoop, Hive - a plusExperience in building NLP models incl. relationship extraction, entity extraction, topic modelling etc. - a plus
Bachelor’s Degree in Computer Science, Engineering, or related field requiredDetail-oriented with strong analytical abilitiesExcellent mathematical, writing, verbal and computer skillsAbility to adapt to new tasks with little noticeEffective leadership and coaching skillsStrong desire to winSound judgementDeep, sophisticated understanding of accounting and financeCommitment to satisfying internal and external customers
Moonshot Brands welcomes all and is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or other applicable legally protected characteristics.


Lead Data Scientist

Company
Doorstead is on a mission to revolutionize the property management industry with modern technology and data-driven pricing.
The Team
The Data Team at Doorstead works with the Product and Engineering teams to design, experiment, and deploy machine learning products to provide industry-leading service to our owners and tenants.
The Role
We’re seeking a mid-level Data Scientist to join our small but growing Data Team. You should be able to be a project lead, making key decisions through all phases of a project, including exploratory analyses, prototyping, testing, and presenting your solution to business stakeholders. The ideal candidate will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—while keeping an understanding of the business case in mind. You should be a problem solver and a fast learner. Since we are a small company in the rapid-growth stage you should also have a keen sense of when to sacrifice predictive accuracy for a more rapid and simple solution.
Responsibilities
Leading projects from start to finishWorking with our Engineering team to ensure Data Science team is getting the proper supportSelecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company's data with third-party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner
Skills and Qualifications
Required
Bachelor's degree and 3-5 years of professional experienceGreat communication skillsExperience with data visualization tools, such as Plotly, Seaborn, matplotlib, ggplot2Proficiency in using query languages such as SQLExcellent scripting skills (preferably with Python and Pandas toolkit)Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.Data-oriented personality
Nice-to-have
Excellent understanding of machine learning techniques and algorithmsFamiliarity with Airflow, MLFlow, CatboostFamiliarity with object-oriented programming in Python (classes, inheritance, etc.)


Data Scientist Associate Level

Company
Doorstead is on a mission to revolutionize the property management industry with modern technology and data-driven pricing.
The Team
The Data Team at Doorstead works with the Product and Engineering teams to design, experiment, and deploy machine learning products to provide industry-leading service to our owners and tenants.
The Role
We’re seeking an Associate Data Scientist to join our small but growing Data Team. The ideal candidate will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—while keeping an understanding of the business case in mind. You should be a problem solver and a fast learner. Since we are a small company in the rapid-growth stage you should also have a keen sense of when to sacrifice predictive accuracy for a more rapid and simple solution.
Responsibilities
Selecting features, building and optimizing classifiers using machine learning techniquesData mining using state-of-the-art methodsExtending company's data with third-party sources of information when neededEnhancing data collection procedures to include information that is relevant for building analytic systemsProcessing, cleansing, and verifying the integrity of data used for analysisDoing ad-hoc analysis and presenting results in a clear manner
Skills and Qualifications
Required
Bachelor's degree and 2-3 years of professional experienceGreat communication skillsExperience with data visualization tools, such as Plotly, Seaborn, matplotlib, ggplot2Proficiency in using query languages such as SQLFamiliarity with Python and PandasGood applied statistics skills, such as distributions, statistical testing, regression, etc.Data-oriented personality
Nice-to-have
Excellent understanding of machine learning techniques and algorithmsFamiliarity with Airflow, MLFlow, Catboost


Senior Data Scientist Product

At Cameo, we make impossible connections possible. Our global platform allows fans to get personalized messages from their favorite stars and creators and through our Cameo for Business platform, all companies can now leverage the power of celebrity at scale. The key to our success? Our outstanding Cameo Fameo. The people behind the scenes, spreading joy to our talent and their fans - as well as their fellow colleagues - each and every day.
From product marketers to talent relations managers, software engineers and recruiters, the Cameo team is made up of the brightest minds in the biz. As we grow, our core values and startup mentality remain; we value creativity, hard work, collaboration, direct dialogue and feedback, and the continued development of our people. We are a fully distributed, highly connected company (TL;DR no company offices < plenty of company gatherings). For more information, please visit careers.cameo.com.
Our team is guided by four core values, and we like to share them early on to set the stage!

Roll out the Red Carpet - Do you welcome everyone just as they are?

Make it Memorable - When was the last time you said, "wow, that sh!t was cool!"

Run Through Walls - How do you create purpose from challenge?

Fight for Simplicity - Get comfortable with saying no and intentional when saying yes.

A few more things to consider:
👋 Our employees are called the Cameo Fameo, and our team means everything to us. Join smart, curious, humble individuals from all over the world and experience what it’s like to love where you work.
🏆 Humble brag - we’re honored to be named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes, the #1 Most Innovative Social Media Company by Fast Company, and recently raised a $100M Series C.
🌎 Trade those commute hours for more time to do what makes YOU happy. We're a Work From Anywhere in the U.S company, with an entirely distributed team, so as long as you’ve got WiFi, you’re perfect to us. Don’t worry, we find ample time throughout the year to come together and celebrate our wins IRL!
🎁 The goods - competitive salaries, equity, health insurance, 401(k), wellness perks, unlimited PTO, Heads Down Hump Days 🐪 (aka no recurring meetings), and an annual talent show that will have you LOL-ing - just to name a few. Oh, and did we mention Cameo works with noteworthy actors, athletes, musicians, your favorite creators, global superstars, famous furry friends and more!?
About the role:
Come join us in our mission to create the most personalized and authentic fan connections on earth.
We are looking for an experienced Senior Data Scientist to partner with our Algorithms product team building the data products that power our search, ranking, and pricing algorithms. This role will report into the Director of Product Data Science and will work closely and be a core thought-partner to the cross-functional team including product managers, technical engineering leads, and data scientists across our organization.
This person will be responsible for surfacing critical insights to support product development and iteration. In addition, they will also own setting success measures, designing and evaluating A/B tests, and helping implement analytical infrastructure to support the needs of the business.
The ideal candidate will have strong technical, analytical and problem solving skills. This person will apply a hypothesis based approach and apply strong business intuition in their day-to-day work. They would have eagerness to work cross-functionally, curiosity to learn more every day, and patience to work through difficult problems to ultimately inform and influence product decisions.
What you’ll be doing:

Drive insight and innovation as a part of our Algorithms cross-functional team, working with product managers, engineers, and data scientists; Use the analytical perspective to inform the road-map of the cross-functional team, and help drive a ruthless focus on the most impactful ideas.

Help the cross-functional product team define and measure success; Own defining metrics and KPIs, socializing them across the organization; Help the team understand whether what it is doing is moving the needle on its success metric

Partner with Data Platform to implement / construct, but serve as the expert for the success metrics by understanding how data collection is instrumented in the product, how it flows through our ETL pipeline and is aggregated, and how metrics are defined in our analytics platform. Design (and construct as needed) the core dashboards, visualizations and analyses to help stakeholders monitor product health and make better decisions

Proactively explore data, and alternatively for incoming requests, navigate ambiguity and formulate hypotheses; Conduct quantitative analysis of user behavior to uncover issues or opportunities to improve the business and user impact of our search, ranking, and pricing algorithms to inform specific, near-term actionable experiment designs or product decisions or longer term product strategy; Partner with Product and produce analysis to inform estimated feature success.

Own the design, execution, and analysis of experiments to enable data-driven decision making; Design rigorous experiments based on hypotheses from strategic analyses; Analyze the results of experiments to determine what should launch or not. Learn from and iterate on those experiments by identifying additional opportunities to drive growth.

Communicate insights to stakeholders distilling complex analysis into accessible learnings, with a data-driven point of view and plan for action. Deliver effective presentations to influence multiple levels of stakeholders.

Be a driving influencer on the use and application of analysis; deliver what’s needed, and show what’s possible; Be an advocate for analytics by educating and advocating for data driven decision making

What you bring to the table:

5+ years experience working in the product analytics space
Strong experience designing and assessing the impact of A/B experiments in a product development cycle
Ability to write performant, complex SQL queries combining multiple sources of data
Confidence using a variety of analytical and statistical techniques
Knowledge of analytical tools such as Amplitude, Tableau, Looker, Git , DBT, or similar; Bonus points for strength with R / Python
Practical experience in a business environment influencing decision making with data
Excellent communication, storytelling, and collaboration skills
Enough laziness to find a faster way to do your least favorite tasks
Humility and compassion; Sense of humor and a strong work ethic

Above and beyond qualifications:

Passionate about the role of data in helping solve complex questions
Demonstrated passion for building products that delight customers and drive their success
Experience working at, or strong understanding of, a 2-sided marketplace business
‘What’s right for the business’ mindset, ‘hypothesis first’ approach to defining and solving problems
History of proven success (progressive career, promotions, etc), and ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
Passion for Cameo; Ability to adapt to a culture of an ever-growing rocketship company that embraces and commits to change

Cameo is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment for every person who walks through our doors. All employment is decided on the basis of qualifications, merit, and business need. Cameo celebrates and embraces diversity.
Please consult the Notice to California Residents contained in Cameo's Privacy Policy available at https://www.cameo.com/privacy for information regarding your rights under the California Consumer Privacy Act if you are a California resident.
We are working on becoming compliant with Colorado regulations.  Until then, this role can not be performed in Colorado.


Senior Data Scientist

Why TrueAccord?

TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process.

With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries.

The Opportunity:

TrueAccord is looking for a Senior Data Scientist to join its growing Data Science team.

You will join a team dedicated to creating a data-driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collection process for our consumers, lead automation initiatives in the company, and help create insights to better understand our product and performance.

As a team member, you will build machine learning models that optimize and elevate our automated debt collection strategy. You will work closely with engineers and product team partners to identify and prioritize machine learning-based projects destined to have the highest impact on external and internal customer experience.

We’re looking for a driven, self-sufficient, seasoned data scientist who can run with a project from conceptualization to production. You should have an excellent grasp on core machine learning techniques and a product focused mindset. You should be passionate about using data to create positive customer experiences and determined to have a huge impact at TrueAccord.

What You’ll Do:

Develop and maintain machine learning algorithms
Apply data and algorithmic thinking to address business and domain problems
Work cross-functionally to identify high impact business needs and translate them into technical requirements
Manipulate and curate data sets for analysis and model training

What We’re Looking For:

Minimum 3 years of data science experience, with focus in machine learning
Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, Keras, etc)
Great foundational skills: Python, pandas, SQL
Advanced degree in statistics, applied mathematics, computer science or equivalent
Ability and desire to educate the rest of the company in data science concepts and techniques

Bonus Points:

Excellent cross-functional communication skills with technical and non-technical partners
Solid understanding of experiment design
Experience with natural language processing techniques
FinTech background

Benefits, Perks, and Culture

- Everything you need to work remotely
- Work with talented and motivated people in a fast-paced, mission-driven environment
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, flexible work from home
- Unlimited PTO
- Transportation benefits
- Paid time off to do volunteer work in your community!

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.

Our Dedication to Diversity & Inclusion

TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist

Why TrueAccord?

TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process.

With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries.

Your Role:

TrueAccord is looking for a data scientist to join its growing Data Science team.

You will join a team dedicated to creating a data-driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance.

As a team member, you will build machine learning models that optimize and elevate our automated debt collection strategy. You will work closely with engineers and product team partners to identify and prioritize machine learning-based projects destined to have the highest impact on external and internal customer experience.

We’re looking for a driven, self-sufficient data scientist who can run with a project from conceptualization to production. You should have an excellent grasp of core machine learning techniques and a product-focused mindset. You should be passionate about using data to create positive customer experiences and determined to have a huge impact at TrueAccord.

What you'll do:

Develop and maintain machine learning algorithms
Apply data and algorithmic thinking to address business and domain problems
Work cross-functionally to identify high impact business needs and translate them into technical requirements
Manipulate and curate data sets for analysis and model training

You have:

Advanced degree in statistics, applied mathematics, computer science, or equivalent
Minimum 1-3 years of data science experience, with focus in machine learning
Strong foundational skills: Python, pandas, SQL
Hands-on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
Ability and desire to educate the rest of the company in data science concepts and techniques

You might also have:

Strong cross-functional communication skills with technical and non-technical partners
Solid understanding of experiment design
Experience with natural language processing techniques
FinTech background

Benefits, Perks, and Culture

- Everything you need to work remotely
- Work with talented and motivated people in a fast-paced, mission-driven environment
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, flexible work from home
- Unlimited PTO
- Transportation benefits
- Paid time off to do volunteer work in your community!

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.

Our Dedication to Diversity & Inclusion

TrueAccord is an equal opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist Decisions

Role
As a Data Scientist, you will partner closely with a cross-disciplinary group of staff, including a mix of engineering, product, data, coaching, and clinical staff, to collect, analyze, and share evidence that will inform critical business operations decisions and organizational storytelling. In particular, you’ll work on 6 high-level stages that will help move your stakeholder groups toward evidence-informed actions: data collection, availability, methodology of analysis, access, analysis, and interpretation. Through this work, you’ll help to create a culture of evidence-based decision-making that will increase our organization’s impact on our mission of supporting people in crisis.
Responsibilities

In partnership with stakeholders, identify and implement new metrics and improve old metrics to reveal or monitor organizational challenges or opportunities;

 Develop and maintain dashboards and other visualizations that track performance metrics and show where we can improve our service;

Use a mix of research methods, including regression analysis, survey design, qualitative research, literature reviews, and A/B testing to generate evidence and insights;

Be a strategic partner and work with stakeholders to connect analysis to key decisions that affect the organization. Our team’s output is analysis, but our outcome is impact;

Evaluate new products and programs alongside stakeholders (eg, a new volunteer communication strategy);

Clarify what conclusions the team can draw from what may be imperfect data, and maximize team learnings;

Provide peer-reviews that ensure we are producing valid, reliable, and interpretable analyses;

Consider ethics, equity, security, privacy, and confidentiality, in all work;

Spread knowledge, provide mentorship, and promote research best practices;

Learn from your colleagues, stretch yourself, and grow as a scientist and teammate;

Manage your time successfully by focusing on priorities, and delivering on deadlines.

Qualifications

 2+ years of relevant experience

Proficiency in SQL and experience with at least one of the following statistical tools:
Python, R, SPSS, STATA, or SAS

Experience using mixed research methodologies, including two or more of the following:
survey design, qualitative research, A/B testing, statistical methods, machine learning.

Experience building charts in visualization tools like Sisense, Looker, and/or Tableau.

Understanding of essential scientific and research principles and how to apply them, e.g.,
the scientific method and hypothesis testing, forms of research bias, experimental design, types of variables, privacy and confidentiality, ethical research.


Data Scientist

We are seeking a talented Data Scientist who has a passion for solving business problems by providing data insights through data modeling and analysis. You’ll partner directly with senior leadership and data/technology teams to understand and solve complex business problems by developing data models and various techniques to analyze the health populations.
How will you contribute;
Derive insights from data analysis and modeling using multiple datasets, derived from the company platform, data provided by our customers, etc.Develop a comprehensive profile of the patient/member using the data available.Apply statistical techniques to understand health data and analyze outcomes.Apply data science algorithms and techniques to understand the member profile and prepare the data such that these insights help the care management team in addressing the needs of our customers and members.Be part of the data team, collaborate with product and engineering teams in developing the data required to support the functionality and new features of our platforms.Must be self-driven and a quick learner.Requires strong problem-solving, analytical, and communication skills.Healthcare data experience (claims, groupers) is a plus.
Technologies:
Data science: Analysis/Machine learning/AI algorithms and modelingData Platforms: Spark, Python/ScalaStrong SQL experienceDatabases: Postgres, Microsoft SQL ServerHosting: Microsoft AzureTools: Github, CircleCI, CodeClimate
What will make you successful;
Minimum 3 years of experience in professional healthcare data science experience
Mission-Obsessed Teammates:
It all starts with a team of humble colleagues who care passionately about our clients, our mission, and each other.
We approach our work as an act toward a revolution in healthcare. From clinicians to data scientists to engineers, everyone at Mindoula plays a critical role in leading members through a journey of healing and transformation.
What we offer:
Insurance: Medical, dental, and vision insurance for you and dependentsPaid Time Off, Holiday, Sick, and VacationWellbeing: Employee Assistance Program and Wellness programs available to you and dependentsCulture: We work with and for each otherFreedom: Design your own workday - we’ve been remote-first from our foundingResponsibility: You get what you need to excel (MacBook, iPhone, remote technologies)
Who We Are:
We launched Mindoula because each of us has had personal experience with mental illness, either directly or through a loved one. We realized that the behavioral health system was broken and decided to take it upon ourselves to fix it by focusing on the people we serve, not their diagnoses or symptom sets. Each of us, and everyone we serve, is a person first, and a set of challenges second.
What We Do:
We address the full range of behavioral health challenges. We deploy tech-enabled teams of case managers, care managers, community health workers, peer support specialists, and psychiatrists to provide 24/7 support to even the most complex and underserved behavioral health populations. Our member engagement and predictive analytics technology platform has made the company a market leader in hospital re-admissions reduction, collaborative care, care coordination for the seriously mentally ill, and measurement-based psychiatry.
Our Commitment to You:
Our Talent Team is committed to the fair and timely assessment of every candidate.
Mindoula Health is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, gender identity, pregnancy (including childbirth, lactation, and related medical conditions), marital status, sexual orientation, gender identity, credit history, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status, or any other status protected by federal, state, or local laws.
Come be part of the solution!
#ZR ITDS04


Senior Data Scientist

Location: Remote
Steady is seeking sharp, highly-motivated data scientists who are excited to play a major role in building high-impact data-backed products and intelligence-powered engines. We are looking for product-focused, results-oriented data scientists who thrive in a collaborative, team-focused culture. You will work closely with data engineers, data operations professionals, analysts, product managers, business stakeholders, and your team to help define, implement, and ship meaningful automated data intelligence that powers Steady’s mission-driven products.
Responsibilities of a Senior Data Scientist
Design, develop, and deliver creative, insightful, high-quality, well-tested, documented, and sensible data science solutions to address high-impact technical challengesCreate, maintain, evolve, and improve Steady’s data augmentation and intelligence capabilities, in batch mode, microservices, and real-time data processing pipelinesEngage in all relevant phases of the agile software development lifecycle in a cross-functional team setting, while building our impactful data capabilitiesPartner with data engineers, data operations professionals, and senior leadership to define and refine our data science technology and quality monitoring choicesCollaborate with data engineers, data annotators, and analysts to define and build complex data sets that can be used to solve difficult problemsCollaborate with the growth team to analyze market-based tests and other challengesHelp define, implement, and reinforce data science best practices and processesContribute to Steady’s technical and scientific vision
Skills & Requirements
Significant data science experience (3+ years with PhD, 5+ years with MS or equivalent)Experience with a broad range of data science tools, including data analysis, machine learning, statistical modeling, and data visualizationDemonstrated proficiency developing prototype software in Python, R, or Java, with a strong understanding and command of common libraries in a common data science stackExperience working with a variety of data formats and types, preferably at scaleDemonstrated proficiency with SQL and NoSQL databases, plus data warehousing conceptsAbility to thrive in a fast-paced and dynamic environmentAbility to work well in teams of all sizes with representatives from a diverse set of technical backgroundsPreferred: Experience in a data science development environment such as Sagemaker or Databricks, including tools like MLflow and Spark-based development, or equivalentNice to have: Experience with graph-based machine learning and/or NLPNice to have: Experience developing scalable production software in Python or Java, including experience with microservices and test-driven developmentRelevant advanced degree in a quantitative field, including Computer Science, Physical Sciences, Mathematics, Statistics, and Operations Research, or equivalent
Benefits
We value our Steady Team Members and are committed to their success. We offer competitive compensation packages and a 100% company-paid benefits package including medical, dental, and vision. Steady is a relaxed, casual work environment with flexible hours and there is a weekly meal stipend. We also offer a generous PTO plan, 401K match, and future growth opportunities within the company. We strive to maintain a positive and fun environment for our employees where people can learn and grow with the company.
About Steady
Steady is a mission-driven business that helps people earn more. Through the free Steady app users can build & track income, and increase buying power – allowing them to augment retirement savings, work around childcare responsibilities, pay down debt, save for purchases, and supplement their income from primary employers, while limiting their income volatility and better positioning themselves for access to a sustainable financial services ecosystem. Every Steady member will build something different. We celebrate those who take the initiative to create a path that works for them. Whatever that looks like, Steady is there to support it, providing a stable foundation that allows people to build financial success over a lifetime.
About Steady Income Passport
Income Passport is a new Steady product designed to facilitate income verification for 1099 and mixed-income earners for government assistance programs like unemployment, Medicaid, Disaster Relief, and SNAP (to name a few). With countless applications beyond the government sector, from tax preparation to proof of employment, Income Passport aims to be the go-to source for all income verification needs. Through automation and a proprietary process, Income Passport compiles users’ income and payroll data into a single digital document that can be easily sent or shared as needed. With Income Passport, Steady is bringing income verification into the future.
Mission: Steady turns the tables by putting workers back in charge of their financial future with an income-building platform that creates financial stability and helps its users to take charge of their future.
For more information, visit us at www.steadyapp.com or on Twitter @TheSteadyApp.
Steady, Platform Inc. (Steady) is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Statement to ALL Third-Party Agencies and Similar Organizations: Steady accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Steady employees, Steady hiring manager, or send to any Steady facility. Steady is not responsible for any fees or charges associated with unsolicited resumes.


Product Data Scientist Senior And Staff Levels

At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques.  You have strong interest in honing your technical skills further on real-world data.  You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:
You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set.  Experience comes in all forms and personal projects count.  We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R.  You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE


Inference Data Scientist Staff Level

Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We collect terabytes of data every day from millions of users to guide our decision-making processes. We need your help to enable the future of Mozilla in a way that makes us proud!
As a Data Scientist within the Data Org, you will work as part of a cross-functional team that is responsible for understanding and empowering the future of Mozilla.
The Role
The Data Science team sits at the intersection of finance, business, operations, product, engineering, and leadership. We collaborate closely with these partners to provide meaningful insights.
As a Data Scientist at Mozilla you will:
Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue
Build key data sets to empower operational and exploratory analysis
Define, evaluate and report on key business metrics
Generate data-informed insights and communicate these data stories to colleagues to influence decision making across Mozilla
Contribute to the team through mentorship, technical methods, improvements in how we work
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 2+ years of experience applying these skills in an industry setting.
You have experience in SQL or SQL-like environments, as well as scripting languages such as Python or R and desire to gain further technical experience on the job.
You have owned complex projects from inception to completion and your work has  influenced entire organizations. You’ve contributed to and executed against data science roadmaps in collaboration with others.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
Experience synthesizing product and revenue data is a plus!
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as  (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
#LI-REMOTE


Data Scientist

This position is also available for employment in these areas:Draper UT, Remote - USAJob Description:At Pluralsight, we are an established team of collaborative data scientists supporting decision makers across the company. We work closely with operational teams to gain a broad understanding of the company’s data science needs. We ask an ambitious question: how can data science optimize key results? The sophisticated challenges require a variety of data science methodologies to address them. This is an exciting role! Our work has a measurable impact on improving business outcomes.WHO YOU’RE COMMITTED TO BEING:-  Strategic problem solver who understands how data science solves business problems -  Interpreter who finds trends and patterns in disparate data-  Creator of models, analyses, and visualizations-  Communicator able to translate technical details into business insights-  Partner to internal customers who share high-value business objectivesWHAT YOU’LL OWN:-  Discovery of opportunities for applying data science-  Cross-functional project collaboration on data science results-  Development and implementation of analyses and predictive models-  Continuous testing and improvement of deployed solutions-  Distillation of algorithms to business leaders, eliminating “black box” distrust-  Presentation of results to company leadersEXPERIENCE YOU’LL NEED:-  1-2 years of professional data science experience-  Coding with scientific languages (Python, R)-  Using SQL and relational databases as well as big data platforms (Spark, Hive)-  Producing effective and interactive data visualizations (Tableau, Shiny, D3)Be yourself! Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-TC1#LI-Remote


Data Scientist Skills Product Platform

Job Description:At Pluralsight, you will be part of an established team of collaborative data scientists supporting our Skills product platform. You will work closely with multiple teams to identify and implement improvements to our Skills platform powered by data science. This role is a good fit for hands-on data scientists who enjoy experimenting with new ideas and working with cloud computing technologies. That’s you, right? Who you’re committed to being:
Critical problem solver who understands how data science can solve business problems
Interpreter who finds trends and patterns in disparate data
Independent creator of models, analyses, and visualizations
Communicator able to translate technical details into business insights
Partner to internal stakeholders who share high-value business objectives
 What you’ll own:
Applying data science to content search and discovery challenges
Cross-functional project collaboration on data science deliverables
Development and implementation of analyses and predictive models
Continuous testing and improvement of deployed solutions
Explanation of algorithms to business partners, eliminating “black box” distrust
Presentation of results to business partners and company leaders
 Experience you’ll need:
Applying statistics and data science theories and techniques
Working with popular data science languages and tools (Python, R, Jupyter Notebooks, scikit-learn, pandas, tensorflow, pytorch)
Using SQL and relational databases as well as big data platforms (Snowflake, Kafka)
Producing effective and interactive data visualizations (Tableau, Shiny, Dash)
Preferred but not required: Familiarity with cloud computing (AWS), Airflow, NLP, and recommender systems
 Working at PluralsightFounded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to innovate faster and create progress for the world. At Pluralsight, we believe everyone should have the opportunity to create progress through technology. That everyone should have access to the skills of tomorrow. That technology can make the world a better place. Through the work we do every day, we empower the people who power our world. And we don’t let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us and our values are at the helm of how we work together. It’s our commitment to practicing them day in, day out that enables our performance. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one.  Be yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-KC


Data Scientist

The future of work is now and it's human-centered. Aware empowers employees and organizations with behavior-driven, real-time signals from the workplace. The revolutionary platform is the leading force for digital collaboration insights, giving companies a better understanding of their workforce and the ability to manage the risks associated with digital conversations and remote collaboration. Aware enables enterprises to overcome common legal and compliance barriers to collaboration adoption, address growing data risks and insider threat concerns, and empower employees by creating more empathetic, flexible, and human-centric workplaces.

The Behavioral Intelligence team at Aware is tasked with developing novel predictive and analytic data solutions for the Aware platform, the industry's only purpose-built platform for understanding unstructured collaboration data.

Aware is looking for a Data Scientist to join our Behavioral Intelligence team. As a member of the team, you will leverage modern techniques of natural language processing, machine learning, and statistics to derive insight into the patterns and character of communications in corporate collaboration networks (such as Microsoft Teams, Slack, Workplace from Facebook, and Zoom).

We are looking for team members who

- Are interested in working in cross-functional teams of product managers, engineers, and designers to understand and fulfill the needs of our customers
- Embrace experimentation with new tools and approaches to building models capable of processing millions of messages and images and thousands of hours of audio and video each day
- Have the ability to effectively communicate and collaborate with non-technical business partners, including the Product, Marketing, and Finance teams
- Are self-motivated and comfortable working in a fast-changing environment

Responsibilities:
As a Data Scientist at Aware you will embrace the role of "full-stack" data scientist, which will often require you to acquire and clean raw data, engage internal and external partners to obtain labels for that data, develop machine learning and statistical models, deploy models to production, and monitor the models for performance. To meet these, you will need to:

- Collaborate with diverse teams from Product, Engineering, Marketing, Customer Success, and Sales to develop customer-facing predictive models to be deployed on the Aware platform
- Develop, train, and maintain statistical and machine learning models to analyzing unstructured, natural language data; images, audio, and video; as well as structured business metrics and statistics
- Design and implement end-to-end data pipelines capable of feeding real time data products. This will include interacting with a variety of data tools to source, clean, and feature engineer raw data; productionize and deploy machine learning models; and monitor those models for performance
- Communicate with Product, Customer Success, Marketing, and Sales to craft layman descriptions of the ML methods used, so that customers can understand how their data are being analyzed, mapping these to their business needs

Requirements:
- Ph.D. or Masters degree in a quantitative field (statistics, biostatistics, economics, quantitative behavioral sciences) *or* 2-4 years of experience applying advanced quantitative modeling techniques to problems in industry
- Deep theoretical knowledge of topics such as statistical inference and machine learning, including a working knowledge of forecasting and time series analysis, hypothesis testing, anomaly detection, classification, and regression
- Experience developing natural language processing (NLP); computer vision; or predictive statistical models on large datasets
- Demonstrable expertise developing machine learning and statistical models in Python (experience with R or Julia a plus), including experience with frameworks such as Pytorch, Tensorflow, Spacy, NLTK, OpenCV, and Tesseract.
- Strong SQL skills and working knowledge of Git and Docker
- Experience with open source data visualization tools, such as Shiny, ggplot2, Lattice, plotly, and matplotlib
- Some familiarity with Amazon Sagemaker, Jupyter Lab, Apache Airflow or other ETL/data orchestration platforms a plus

Aware serves some of the largest enterprises in the world, in doing so we can provide them insights into their diversity and inclusion efforts. Because of this, Aware strives to cultivate its own diverse culture so we can better understand those we serve. If you share our values and enthusiasm for making companies better, you’ll find a home at Aware.

Disclaimer: The duties and responsibilities described are not a comprehensive list and that additional tasks may be assigned to the employee from time to time.

A FEW PERKS OF WORKING FOR AWARE

•      Company Equity

•      100% paid monthly health insurance for you and your family

•      401K match

•      Tuition Reimbursement

•      Open vacation policy

•      Fully stocked kitchen with drinks, goodies and balanced snacks at HQ

•      Flexible/Remote working options

•      Cross-functional, open learning environment


Data Scientist Us

The Data Science team at Degreed works with large structured and unstructured datasets to understand how people develop the skills that they need to advance their careers.  To do this, we use a diverse set of tools and approaches, including feature engineering, clustering, classification and recommendation models, word embeddings, and  neural networks. Degreed is looking for a capable, qualified and versatile Data Scientist to help with the development and delivery of high-quality, data-driven, machine learning and predictive modeling solutions.
Day in the Life

Own end to end Machine Learning projects
Discover and translate business challenges to data problems, data-pipelines and model framework
Mine structured and unstructured data (company internal data and public data)
Engineer features, build models, and evaluate model performance
Collaborate with product and engineering teams to deploy models to support production
Deliver fast while continually adjusting models according to real-time feedback
Communicate about data science with a diverse set of stakeholders and development partners
This description reflects management's assignment of essential functions; it does not prescribe or restrict other tasks as assigned and is subject to change at any time

Who You Are

2+ years of industry work experience developing knowledge graphs
Hands-on experience in one of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation systems, market-facing machine learning production software
Strong coding skills in Python, or R
Advanced skills in database querying (SQL, noSQL) and search techniques
Experience building prototypes and experiments to validate technical ideas
Familiarity in developing cloud-based solutions using micro-services architecture, docker containers and Kubernetes
Ability to work in different coding environments (local, notebooks, containers) and familiar with software engineering workflows (testing, code management/Git)
Ability to blend together diverse data sources to create training data for specific problems
Excellent written and verbal communication skills. We’re a distributed team and rely on good communication to perform at a high level
Experience working remotely - It takes a self-motivated individual to thrive on a distributed team

What Sets You Apart

Experience working with graph data models (RDF, Property), graph query languages (Gremlin, SPARQL, Cypher), or graph databases (Amazon Neptune, Neo4J, TigerGraph)
Experience in Natural Language Processing techniques for entity resolution, disambiguation, and linking
Experience with tools and platforms like ElasticSearch, AWS, Microsoft Azure, Databricks, BERT, GPT, Word2Vec (w2v)
A proven track record as central contributor to successful applied data science projects
You are a lifelong learner and passionate about learning new things and taking on new challenges

Educational Preferred Qualifications

Master or PhD degree in a quantitative field like Computer Science, Math, Physics, Data Science, Analytics, etc

Total Rewards at Degreed
We believe your best work happens when you have a complete life balance, and Degreed gives you the support and flexibility to make that happen. Degreed is committed to delivering a comprehensive benefits program that provides the support you need. At the time of this posting, this role is eligible to participate in the following benefits:

Comprehensive health insurance for you and your family (both PPO and HDHP plans available)
Dental and vision plans for you and your family
Employer-paid life insurance, AD&D, short-term disability, and long-term disability
Company equity
401(k) Retirement Savings Plan with up to 4% match
Company funded HSA and dependent care FSA (pending eligibility)
Generous Parental Leave
Unlimited Paid Time Off and 5 sick days per year
Education benefit: Up to $1,200 per year for anything you want to learn (and we mean anything)!
One-time Home Office Stipend to make your workspace more comfortable
Monthly internet and phone stipend
Monthly wellness stipend through Twic

*Degreed reserves the right to modify these benefits at any time, for any reason in accordance with applicable law. Please note the offerings vary based on location.