Principal Data Scientist

At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, and technology. We want to throw the long ball with people we love for a cause we believe in.  Life is short.  Join us.Job DescriptionWhy 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 Principal Data Scientist will serve as a crucial partner to our member focused teams, using data to answer important questions about the effectiveness of these teams and the impact of their communication on members. This individual will build robust data pipelines that underpin our products and operations; and foster a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency. This individual 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.In this role, you will power the insights that enable several business teams to intelligently engage with our members, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to our members’ experience and  drive key initiatives. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as forecasting and experimental design.Healthcare experience or previous experience driving Data Science initiatives is a PLUS.Responsibilities will include:
Working closely with key business stakeholders to meet 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 the speed and accuracy of our processes
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
3+ years of working on Data Science initiatives for a member focused team
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; such as predictive modeling and experimental design to influence the business
 #LI-BC1#LI-RemoteDevoted 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.


Senior Data Scientist Ml Engineer

Job Title:
Senior Data Scientist/ ML Engineer - Remote
Role Overview:
We are looking for a Senior Data Scientist (ML Modeling & ML Engineering) who will be part of a critical and highly visible role to join our team of Data Scientists. Are you looking to make an impact in Data Science and Analytics? Come be a part of the change as we move into a new era here at McAfee. Mission driven, both at company and functional level, we share a passion for customers at the core.
You will report to the Senior Manager of Data Science, Machine Learning. Machine Learning is starting to empower McAfee's customer experience and personalization, paving for a huge opportunity to drive innovation and growth - it is a great time to jump in!
This is a remote position based in the United States. We will only consider candidates in the United States, and we are not offering relocation assistance at this time.
About the Role
Develop, implement, and deploy machine learning models that leverage our unique combination of threat data, user behavior and subscription data to improve consumer value from our products.Deliver data based intelligent personalization in all our touch points consumer including marketing, product, and customer service. Mine, analyze and build predictive and descriptive machine learning models on structured and unstructured data sources.Utilize code (Python, R, Scala, etc.) for analyzing data and building statistical models to solve business problems.Apply or design highly innovative models for predictive learning, forecasting, recommendations, content ranking, and anomaly detection.Use machine learning to help us anticipate and cater to consumer's personalized needs for threat protection.Use data and machine learning to create differentiated and personalized experiences for consumers across multiple touch points with McAfee.Create algorithms for optimizing consumer journey and increasing conversion and monetization.Perform statistical analysis on the outputs of these machine learning models to help update, re-train, and then deploy new ML models.Contribute to the creation, deployment, and scaling of machine learning and predictive algorithms in a production environment.Help identify new opportunities for applying machine learning and statistics-based models for improved customer and business outcomes.
About you
You will have 6+ years of experience in one or more of the following areas: machine learning (including deep learning), recommendation systems, pattern recognition, data mining or artificial intelligence.M.S. or PhD in Computer Science or Machine Learning related degree; or equivalent work experience in the field.Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.You will be proficient with designing, analyzing, and troubleshooting controlled experiments (Causal A/B tests, Multivariate tests).Knowledge mentoring team members in the use of data science tools such as R, Python, SQL, MapReduce, Hadoop, Hive and Big Data technologies.Experience with applied machine learning (like scikit-learn) and deep learning frameworks (like Kera’s, tensorflow or PyTorch).Experience in optimization mathematics (linear programming, nonlinear optimization)You will work with large amounts of structured and unstructured data in a consumer facing online business.You will have algorithmic problem-solving skills and practical experience with machine learning.You will work with natural language processing (NLP), text mining, statistical modeling, and hypothesis testing.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program401k Retirement PlanMedical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability CoveragePaid Parental LeaveSupport for Community Involvement14 Paid Company HolidaysUnlimited Paid Time Off for Exempt Employees96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
The starting pay range for this position is $90,500.00-$149,000.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.


Data Scientist

Job Title:
Data Scientist- Remote
Role Overview:
As a Product Data Scientist at McAfee, you will be developing analyses and insights to support product decision-making via A/B testing and advanced analytics. You will analyze feature adoption, product engagement, retention, product funnel plus other pertinent aspects of product launch and operation.
This is a remote position in United States.  We will only consider candidatescurrently in United States and are not offering relocation assistance at thistime.
About the Role:
Conduct data analysis and ML modeling to extract insights and improve customer experience.Analyze user journey and product funnel to optimize user experience with McAfee products.Assists business with casual inferences & observations with finding patterns relationships in data.Work with experimentation data scientists to design and execute A/B testing.Isolate, identify and communicate data issues and own data quality for the analyses and reports produced.Monitor and analyze data reports/dashboards/pipelines and do RCA & troubleshooting of issues that arise.
About you:
3+ years of industry experience in data science and analytics.Self-motivated, responsible, collaborative, and accountable.Experience with causal inference methods, such as difference in difference, matching, regression discontinuity designs, instrumental variables, including an understanding of different treatment effects.Experience with the design and analysis of A/B testing.Experience applying ML in product use cases.Ability to develop confidently in SQL and Python.Previous product analytics experience where telemetry data was used to understand how customers interacted with a product or service, which features were most used, and what experiences led to customer friction or trouble.
#LI-Remote
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program401k Retirement PlanMedical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability CoveragePaid Parental LeaveSupport for Community Involvement14 Paid Company HolidaysUnlimited Paid Time Off for Exempt Employees96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
The starting pay range for this position is $79,000.00-$129,625.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.


Senior Data Scientist

Want to help us, help others? We’re hiring!
GoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes—for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $25 billion since 2010. Our vision is to become the most helpful place in the world.
Join us! The GoFundMe team is searching for our next Senior Data Scientist to help our Data Insights team to work primarily with the product development and management teams.
The Job…

Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations
Proatively identify gaps and opportunities for marketing teams to optimize existing and create new marketing experiences/campaigns
Develop creative yet statistically sound methods of measuring the performance and incremental impact of marketing campaigns
Advise on the design of AB tests and analyze/present results
Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, etc end to end through scoping, researching, prototyping, and productionizing
Create and monitor KPIs
Mentor more junior team members
Develop dashboards and perform ad hoc analysis
Perform light ETLs as needed for the role

You…

5+ years of experience building impactful data analytics and science projects
Experience with marketing measurement tools such as media mix modeling and multi-touch attribution
Advanced ability to perform data segmentation and manipulation directly using SQL and Python or R
Experienced in working with large granular enterprise datasets, web clickstream and marketing/media dataset experience preferred
Strong familiarity with statistics and ML packages and using those to derive business insights
Able to organize, prioritize and assist with business requests with adequate scoping and stakeholder expectation setting
Data visualization skills and experience with BI tools (Tableau/Looker)
Strong presentation skills, being able to author and present insights to the leadership team, and influence decision makers
Knowledge of data tracking, database architecture, ETL/data preparation tools, APIs a plus
Experience collaborating with data engineering teams to design scalable and future-proof instrumentation
Master's degree in a quantitative field (Mathematics, Physics, Economics, Engineering or related areas)

Why you’ll love it here...

Market competitive pay
Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions.
401(k) retirement plan with company matching
Hybrid workplace with fully remote flexibility for many roles
Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses

A variety of  mental and wellness programs to support employees

Generous paid parental leave and family planning stipend
Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
Learning & development and recognition programs
Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
Employee resource groups
Your work has a real purpose and will help change lives on a global scale.
You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together.
We live by our core values: consider everything, do the right thing, spread empathy, delight the customer, and give back.
We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
The total annual salary for this full-time position is $125,000 - $170,000 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range based on your location during the hiring process.
Learn more about GoFundMe:
GoFundMe 2022 | Year in Help
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality


Data Scientist

The Company

Descartes Labs Government (DLG) is a dual-use data intelligence company.  Through our patented SaaS technology stack, we rapidly prototype data-as-a-service and insights-as-a-service solutions for government customers.  By leveraging our AI/ML, data fusion, data analytics, and data science expertise with our patented foundational GEOINT technology, DLG creates solutions that give operational advantage to a variety of mission use cases.
DLG is proud to be a remote-first, distributed organization that recognizes that people have different needs and motivations for building a life and career that matters and works for them. While embracing a deliberately distributed, 100 percent remote workforce, candidates for this position must reside in the Washington, DC area which will provide them better access to our customers and technology necessary to source for business opportunities.  We focus on helping our employees produce positive outcomes and we recognize that the path to getting there will look different for everyone.

The Role:

DLG is on the path to empowering our customer organizations with predictive intelligence and data-driven decisions. We are looking for an experienced Data Scientist to join our team. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with customers to improve outcomes.

Top Secret Clearance is preferred.

Your Impact:

Mine and analyze data from public sources, derived analytics, or customer provided databases to drive optimization and improvement of product development and customer mission.
Carry out and provide support to scientists designing data collection, data analysis, and interpretation of complex datasets to enable our data-driven services and solutions.
Develop custom data models and algorithms to apply to data sets.
Collaborate with other scientists and engineers in developing models to characterize, diagnose and/or predict patterns related to mission problem sets.
Actively participate as a member of a cross-disciplinary team, openly communicating your ideas, insights, and feedback and helping to continuously improve processes.

What You Bring:

Demonstrable experience with AWS services like S3, Lambda, Fargate, Batch, SageMaker, API Gateway, Athena, RDS, DynamoDBExperience writing clean, efficient Python code involving ETL processes, data manipulation, and standard data science packages (e.g., PyTorch, matplotlib/plotly, shapely, NumPy, Pandas, SKlearn, TensorFlow).
Experience in creating, optimizing, and managing SQL and NoSQL databases
Real-life experience with leading and executing data science projects, from problem formation, data engineering, modeling, and finally deployment.
Experience with areas such as time series analysis, predictive models, developing, training, and evaluating deep learning and machine learning models and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
They must have a proven ability to drive business results with their data-based insights.
Ability to communicate and visualize complex data in a simple actionable way.

Bonus Skills/Experience

5-7 years of experience manipulating data sets and building statistical models, has a master’s or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
Experience with agile development practice, code repositories (i.e., Git), open-source scientific computation, computer vision, modeling, or machine learning tools.

Our Tech Stack

AWS
CDK
Linux
Python
Docker
Kubernetes
AWS
Git
Bazel
ArgoCD

Who You Are

Curious. You are always exploring and experimenting, interested in why and how, seeking not only to understand but to make work and the world better. You enthusiastically share your learning with others and actively seek information and knowledge.
Conscientious. You are determined, always keep your promises, and are forward thinking. Principled and integrous, you take your commitments seriously.
Humble. Unpretentious and self-aware, you cultivate compassion for others and take responsibility for your mistakes. Egoes are barriers to doing the best work and always learning.
Open and Inclusive. You are receptive and interested in new ideas and perspectives, even when those perspectives don’t agree with your views. You value and respect difference and create ways for all people to contribute to the organization.
Collaborative. You know it takes a team to get anything accomplished and you actively and inclusively work across the organization. You listen intently and openly and are always focused first on creating the best results.
Adaptable. You are able to navigate changing circumstances and environments with ease and approach uncertainty with enthusiasm, while inspiring others towards effective goal setting and accomplishment.

Pay
The base salary range for this position is $134,000-$180,000. Please note the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level & competencies as well as security clearance.

Top Reasons to Work at Descartes Labs Government

We pride collaboration over ownership, iteration over perfection, principles over rules, and discussion over directives
We’re using the world’s top technology to solve the governments largest problems. We look at DLG as a work environment where people are included, treat their colleagues with professional regard and respect, and thrive as a resultWe’re a highly collaborative company that constantly promotes success through teamwork
We strongly encourage and enjoy a flexible work environment
DLG offers a generous compensation package including competitive salary; choice of medical plan; dental, life, and disability insurance; a 401K plan; paid holidays and paid time off.

You belong here! If your experience and interests match with some of the above, we want you to apply.


Decision Scientist Marketing Analytics

Are you looking to play an integral role in building something bigger? Ibotta is seeking a Decision Scientist, Marketing Analytics to join our analytics team and this opportunity will provide just that. You will help the Marketing team make data-driven decisions to drive new customers to the app and provide a personalized, compelling experience.  Additionally, you will help measure and evolve the performance of Ibotta’s B2B marketing efforts.
As a Decision Scientist, Marketing Analytics, you will be responsible for using the latest developments in statistics, modeling, and testing methodologies to understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our marketing plans.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States
Here is what you will be doing:
Work cross-functionally with the marketing team in analyzing customer segments and uncovering key, actionable insights about Ibotta users and behaviorsProvide thought leadership and insight on B2B performance metrics and attribution methodologiesRun statistical analysis and create predictive models based on past user purchases and behaviorDevelop algorithms and segmentation for user targeting and personalizationDesign, implement and measure controlled experiments to determine the impact of new approachesReport and understand business performance in detail, and identify ideas for improvement
Here is what we are looking for:
2+ years of practical work experience in Analytics, preferably in a B2B Marketing environmentBachelor’s degree in analytics/mathematics/statistics/data science/engineering or equivalent experience preferredAn understanding of the key concepts of B2B client and consumer behaviorProven expertise with data handling, processing, statistical and analytical skillsAbility to think creatively and provide thoughtful, agile insightsAbility to develop, maintain, automate, visualize, analyze, and communicate reporting to managementIn-depth experience with SQL requiredExperience using modern data analysis tools (such as R, Python, Hive/Presto) requiredExperience with A/B testing and control group conceptsAbility to work collaboratively throughout the organization to drive towards common goals
About Us:
Built in Denver, CO, Ibotta ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target, and Uber, we’ve delivered over $1B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
Learn more about Ibotta here: https://liferewarded.ibotta.com/press-and-media/
To see what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, and equity. Candidates must live in the United States.Base compensation range: $80,000 to $100,000.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basisFor the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-REMOTE
#LI-REMOTE
Ibotta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Associate Decision Scientist Marketing Analytics

Ibotta is seeking an Associate Decision Scientist  to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Are you looking to play an integral role in building something bigger? This role on our Marketing Analytics team at Ibotta will provide just that. You will help the Marketing team make data-driven decisions to drive customers to Ibotta and retain them through innovative, personalized incentives and communication strategies.  You will also be on the forefront of development of B2B attribution and performance measurement tools and methodologies
As an Associate Decision Scientist, you will be responsible for using the latest developments in statistics, customer segmentation, and A/B testing methodologies to understand the business in-depth, support strategic options, build state-of-the-art tools, and improve our future marketing interactions with customers.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Working cross-functionally with the Marketing team to analyze personalization and incentives, in order to uncover key, actionable insights about Ibotta users behavior and iteratively improve marketing performanceRunning statistical analysis and create models based on user characteristics and behaviorDesigning and measuring controlled experiments to determine the potential impact of new approachesUnderstanding and reporting business performance in detail and identifying opportunities for improving the targeted and personalized approach to marketing to Ibotta’s user base.Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & Advocate for Savers
What we are looking for:
1+ year of relevant work experienceBachelor’s degree in analytics/mathematics/statistics/data science/computer science/economics, engineering or equivalent experience is requiredAn understanding of the key concepts of consumer behavior and/or B2B clientStrong SQL knowledge, data wrangling, and analytical skillsExperience using Python for data analysis (particularly pandas, numpy, and sklearn)Ability to think creatively and provide thoughtful insightsAbility to develop, automate, visualize, analyze, and communicate learningsAbility to work collaboratively throughout an organization to drive towards common goals
What we are looking for (preferred):
Experience using other modern data analysis tools and packages (Spark, tensorflow)Superior knowledge of advanced statistical methods, machine learning, A/B experiment design, forecasting, and causal inferencePractical work experience in marketing analytics in a consumer-facing or B2B industry
About Us:
Built in Denver, CO, Ibotta ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target, and Uber, we’ve delivered over $1B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
To see what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, profit sharing and equity. Candidates must live in the United States.Base compensation range: $$60,000 to $80,000.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basisFor the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-Remote#LI-Remote


Data Scientist

Overview
Are you looking for a career that makes a positive difference in your life and in the lives of learners and educators across the globe?
We are looking for a Statistical or Psychometric Data Scientist to help us evaluate evidence for student proficiency from data collected by various McGraw Hill products. Join a team of experts within our K–12 School division at McGraw Hill working on initiatives that place the student at the center of an ongoing journey across multiple programs and classes. A longitudinal student record based on data from various McGraw Hill products will serve as the basis for recommendations and insights provided to teachers, students, and families and could improve millions of lives.
Could your creative thinking build the future? Our Data Scientists at McGraw Hill make a difference for learners and educators across the world. Our team needs individuals with new ideas who connect with people in innovative ways.
** Only considering candidates who do not require immigration sponsorship at this time**
What you will be doing:
Clean, process, and explore student interaction data from various educational products
Develop models and algorithms to measure student proficiency, draw insights from student behavior, and provide useful recommendations to teachers, students, and families
Work with learning scientists, product managers, UI/UX researchers, and curriculum designers to create visualizations, reports, and dashboards that help teachers, students, and families understand a student’s learning journey
Work with data engineers to deploy production-quality code into products used by millions of users
What you will bring to the role:
A Ph.D. in a relevant field (psychometrics, educational measurement, statistics, math, computer science, or equivalent)
Knowledge of R, Python, and SQL
Expertise in statistical modeling or psychometrics, e.g., Bayesian
Experience analyzing behavioral or social science related data
Strong affinity with education and student learning
Ability to balance scientific rigor and creativity with fast-paced development and practical solutions
Experience creating scalable and efficient production-level code, or interest in acquiring these skills
Our preference would be for someone with one or more of the following:
A background in Bayesian modeling or computational psychometrics
3 – 5 years' experience training and deploying data science models in production
Experience with language and reading assessments or NGSS science assessments
Experience building/maintaining data pipelines
Experience with object-oriented programming
Are you ready for a new challenge? Apply for a career at McGraw Hill and together, we’ll impact the world.
As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you contribute and grow in a collaborative environment, where everyone shares a passion for our craft, and how it can support the success of students and teachers.
The pay range for this position is between $100K - $120K annually, however, base pay offered may vary depending on job-related knowledge, skills, experience and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered.
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Data Scientist

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
Job Description Summary:
A Data Scientist within the Fraud Defense Cyber Center will support incidents and investigations by extracting unique fingerprints, which can be operationalized to mitigate fraud and abuse.
Job Description:
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
The Fraud Defense Cyber Center (FDCC) is a diverse team of cybersecurity, fraud, and risk experts who work with partners across PayPal to spearhead collaborations that achieve durable and holistic solutions to complex types of fraud.  To support this goal, the FDCC has teams which support incidents and investigations by analyzing account information, network logs, and big data datasets. This analysis is critical in fingerprinting activity to assist with mitigations and driving solutions.
We are looking for a passionate, highly talented, and self-driven Data Scientist to join our team. You should be eager to learn and able to analyze information and data with the goal of supporting fraud mitigation solutions.
Your way to impact
Support Fraud Defense Cyber Center Incident Management teams to identify features and data points which can be leveraged to mitigate fraud and prevent future abuseSupport Risk and Information Security teams by operationalizing data produced in incident reviews that is accurate and well vettedLead analytical driven projects which quantify fraud and abuse risk, while staying organized, setting clear goals, and providing clear updates to progress
Your day to day
Take leads from incidents, ad-hoc escalations, and identified emerging trends and produce data driven analysis to develop fraud stories and key indicators of abuse within the dataExtract fingerprints from data to effectively identify abuse and develop methodologies to ensure accuracyEffectively visualize the information to communicate insights to others and help create dashboards to support incidents and/or investigationsOperationalize the fingerprints and data driven insights with teams and/or tools to detect, challenge, and mitigate abusive traffic in support of an end-to-end holistic approach to risk and securityInteract with multiple teams and engage with both technical and non-technical teams to drive resolution to incidents and investigations
What you need to bring
College degree, preferably in a quantitative field (Math, Analytics, Computer Science, etc.), or equivalent work experience/industry certificationsProficient in working with large datasets and conducting detailed analysis to drive decisionsFamiliarity with financial fraud and abuse methodologies specific to fintechExperience with any or multiple of the following: Splunk (or similar SIEM tool), SQL, Python, R, Jupyter Notebooks, Teradata, HadoopExperience creating data visualizations, including dashboards and visuals to highlight important insightsBasic knowledge of computer networking and ability to understand network log dataAbility to follow change management processes and governanceWe know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.


Staff Data Scientist

Honor exists to expand the world’s capacity to care.
We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale.
Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest home care network with the most advanced care platform. Our August 2021 acquisition of Home Instead has created a global company that’s revolutionizing how society cares for older adults, their families, and Care Professionals.
The Honor Care Platform combines local care and the most advanced technology to bring the highest quality care to more aging adults.
Grow at Honor as part of a united team where everyone shows up authentically, shares ideas bravely, and solves complex problems!
About the Work:
We’re looking for data scientists to join our team. You'll develop statistical and machine learning models to improve our operations platform and help us provide a better service to our clients. We're looking for generalist data scientists who are excited to jump into new problems and write production-quality code.
Leverage data to solve meaningful problems with appropriate complexity
Collaborate with a diverse team across engineering, PM, and care operations to define a strategy and execute against it
Research operational/logistical problems and proactively identify potential solutions.
Lead the design, implementation, and evaluation of descriptive and predictive models.
Integrate machine learning into user-facing applications.
Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.
About you:
Excellent communication skills with both technical and non-technical peers.
Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
Wide-ranging professional experience solving complex business problems and shipping Python in a production environment.
5+ years of industry experience.
Expertise with numerical software packages such as NumPy, scikit-learn, or Keras.
Able to manage product ambiguity, seeking clarity when possible.
Are accountable end-to-end for your own projects, through planning, deployment, maintenance, and monitoring. You spot and address potential issues early.
Bonus points if you have professional experience with:
Designing systems to optimize portfolio allocation in a two-sided marketplace (E.g., ideal matches of people needing and providing care, automated financial incentives to staff remaining shifts, etc.)
Using survival analysis and related methods to evaluate risk of employee churn and to predict future high-performers
Collaborating with designers to develop effective methods of collecting data in order to quantify highly qualitative attributes, such as personality, taste preferences and perceived quality
Using NLP methods to build data products from a variety of unstructured data sources, including phone calls and website forms
Applying spatial statistics to incorporate geographic and regional differences in a variety of problem contexts
What’s next?
Honor is remote friendly! We're hiring across the U.S., with an entirely virtual interview and onboarding process. Most of our positions are remote/work from home and do not require permanent relocation. As conditions allow, we have office space for in-person collaboration in our San Francisco Bay Area, CA and Austin, TX hubs. If you're looking for a great job that offers you the opportunity to work from home, we'd love to talk to you.
Want to know more about why Honor is a great place to work? Check out our perks!We value people! These four people-centric values guide the ways we work and decisions we make every day.
This role doesn’t sound quite right? Send this application to a friend who may be a fit and check out our other available roles!
#LI-Remote
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.


Principal Data Scientist

Honor exists to expand the world’s capacity to care.
We’re combining high tech with high-touch to deliver better home care for aging adults, better jobs for Care Professionals, and entirely new offerings to support the aging journey, at scale.
Founded in 2014, and now a Series E funded “Unicorn” valued at over $1B, Honor leads the world’s largest home care network with the most advanced care platform. Our August 2021 acquisition of Home Instead has created a global company that’s revolutionizing how society cares for older adults, their families, and Care Professionals.
The Honor Care Platform combines local care and the most advanced technology to bring the highest quality care to more aging adults.
Grow at Honor as part of a united team where everyone shows up authentically, shares ideas bravely, and solves complex problems!
About the Work:
We’re looking for data scientists to join our team. You'll develop statistical and machine learning models to improve our operations platform and help us provide a better service to our clients. We're looking for generalist data scientists who are excited to jump into new problems and write production-quality code.
About the work:
Leverage data to solve meaningful problems with appropriate complexity
Collaborate with a diverse team across engineering, PM, and care operations to define a strategy and execute against it
Research operational/logistical problems and proactively identify potential solutions.
Lead the design, implementation, and evaluation of descriptive and predictive models.
Integrate machine learning into user-facing applications.
Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.
About you:
Excellent communication skills with both technical and non-technical peers.
Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
Wide-ranging professional experience solving complex business problems and shipping/maintaining Python in a production environment.
7+ years of industry experience.
Expertise with numerical software packages such as NumPy, scikit-learn, or Keras.
Expertise in managing product ambiguity, seeking clarity when possible
Foster an environment of end-to-end accountability for team projects, through planning, deployment, maintenance, and monitoring. You level up the team to spot and address potential issues early.
Bonus points if you have professional experience with:
Designing systems to optimize portfolio allocation in a two-sided marketplace (E.g., ideal matches of people needing and providing care, automated financial incentives to staff remaining shifts, etc.)
Using survival analysis and related methods to evaluate risk of employee churn and to predict future high-performers
Collaborating with designers to develop effective methods of collecting data in order to quantify highly qualitative attributes, such as personality, taste preferences and perceived quality
Using NLP methods to build data products from a variety of unstructured data sources, including phone calls and website forms
Applying spatial statistics to incorporate geographic and regional differences in a variety of problem contexts
What’s next?
Honor is remote friendly! We're hiring across the U.S., with an entirely virtual interview and onboarding process. Most of our positions are remote/work from home and do not require permanent relocation. As conditions allow, we have office space for in-person collaboration in our San Francisco Bay Area, CA and Austin, TX hubs. If you're looking for a great job that offers you the opportunity to work from home, we'd love to talk to you.
Want to know more about why Honor is a great place to work? Check out our perks!We value people! These four people-centric values guide the ways we work and decisions we make every day.
This role doesn’t sound quite right? Send this application to a friend who may be a fit and check out our other available roles!
#LI-Remote
Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.


Data Scientist Analytics Growth

About Quizlet:

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

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

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

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

About the Team:

The Data Science, Analytics team at Quizlet is at the forefront of product research. We leverage our rich data set to represent the voice of our students and teachers at scale. Our team outcomes focus on delivering insights that drive product strategy using the data science toolkit. We serve in a pivotal strategic role, identifying as well as driving inquiry on behalf of leaders at the company. The team is supported by Machine Learning and Data Engineering teams that partners with data scientists to make sure we are building a data-driven culture.

About the Role:

As the Growth Data Scientist, you will partner closely with Product, Engineering, Design, and Data Science to build amazing products that will drive users to Quizlet. You will bring together insights across our vast user growth data, enabling you to identify new high-value opportunities, analyze A/B test experiments, recommend data-driven product decisions, define key business metrics, set company wide goals, and present quantitative product research. We are open to the role being fully remote or located near one of our US offices.

In this role, you will:

Be focused on driving business insights through data
Develop analytical frameworks and foundations to enable actions and next steps in the business
Be embedded in a specific product pod and partner with the Product Manager and Engineering Lead to go deep into one part of Quizlet’s business
Help develop A/B testing through the entire experimentation life cycle, including inception, creation, measurement, and recommendations
Explore, develop, and present insights to the whole company that inform product roadmap and strategy, using one of the world’s largest learning science databases
Drive maturity and excellence in the way we measure success of our business

What you bring to the table:

Must have experience running A/B tests and using statistical techniques for modeling and predicting user behavior
2+ years of experience in data science at a consumer internet company
Proven experience in driving product strategy recommendations with insights and modeling
Proven experience with creating and owning resilient ETLs that power business metrics
Advanced SQL skills, window functions, sub-queries, etc
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others

Bonus points if you have:

Experience working with growth product teams
Experience with dbt
Degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative fields

Compensation, Benefits & Perks:

Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $107,000 - $148,000, depending on location and experience, as well as company stock options
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!)
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting, that gives  a comprehensive view of who we are!

In Closing:

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

We have a bias for action, take initiative, and take pride in delivering results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.

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

To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.


Junior Data Scientist Research Network

Reporting to: Senior data scientist
Location: Remote - we welcome candidates based in any country
Working Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. Global Fishing Watch works across different time zones and weekend work may be required on occasion. The post holder may be required to undertake periodic domestic and international travel. No overtime is payable.
Compensation: Commensurate with experience. Global Fishing Watch offers pension/retirement, health and other benefits commensurate with similar level Global Fishing Watch employees in the country of employment.
Equal Opportunities: GFW is an equal opportunities employer. We hire and promote qualified professionals without regard to actual or perceived race, color, religion, sex, sexual orientation, gender, national origin, age, disability, or any other characteristic protected by applicable law. We believe that our mission is best advanced when welcoming the contributions of people of diverse backgrounds, beliefs and cultures. We are committed to providing an inclusive and welcoming environment for all employees of GFW and our partners, vendors, suppliers and contractors.
Background: Global Fishing Watch is an international, non-profit organization committed to advancing ocean governance through increased transparency. We create and publicly share knowledge about human activity at sea to enable fair and sustainable use of our ocean. Founded in 2015 through a collaboration between Oceana, SkyTruth, and Google, GFW became an independent non-profit organization in June 2017. Using cutting-edge technology, we create and publicly share map visualizations, data and analysis tools to enable scientific research and drive a transformation in how we manage our ocean. Our major focus is on commercial fishing because it is the most widespread human activity at sea, the most impactful on ocean health, and the most crucial for global livelihoods and food security. By 2030, we aim to monitor and visualize the impact of ocean-going vessels, both industrial and small-scale, that are responsible for the vast majority of the global seafood catch. We believe human activity at sea should be common knowledge in order to safeguard the global ocean commons for the common good of all.
The Position: The Research and Innovation team at Global Fishing Watch connects data science and machine learning experts with leaders in the scientific community to produce new datasets, publish impactful research, and empower others to use our data. This work aims to harness the potential of satellite technology, machine learning, and big data to shed light on some of the most pressing issues facing the ocean.
The Junior Data Scientist will play a key role on the Research and Innovation team by coordinating the team’s engagement with the research community. In this capacity, they will organize workshops, webinars, brainstorming sessions, and other engagements that foster collaboration between GFW and leading experts on critical ocean issues. Outside of these responsibilities, they will provide general data science support for our portfolio of research projects. Examples of this work include integrating complex data from multiple sources to expand GFW’s dataset of vessel identity, correlating vessel GPS locations with vessel detections from satellite imagery, and generating and publishing gridded products of vessel activity for fishing and non-fishing vessels.
The incumbent will gain experience working with leading researchers and will interface daily with GFW’s team of data scientists and machine learning experts. They will develop diverse technical skills in programming, big data, and cloud computing while working for a globally diverse, fully distributed, and growing organization. The successful candidate will be highly organized and excited to help Global Fishing Watch develop strong partnerships and cutting-edge science. They should also have demonstrated experience working with complex datasets, analytical research, and communication.

Principal Duties and Responsibilities
Research network engagement

Coordinate engagement with GFW research partners by managing communications, organizing workshops, and tracking projects and impacts.
Outreach designed to assist partners and the public with accessing and understanding GFW data, including developing webinars, tutorials, and code libraries.
Provide data science capacity, such as developing queries, models, and visualizations that support novel research projects for publication in peer-reviewed journals.

Internal research support

Provide technical support for the development, advancement, and publication of GFW datasets.
Analyze large amounts of data from various sources, such as vessel activity, identity, and satellite imagery to identify trends, anomalies, and insights.
Assist with data labelling to expand and improve training datasets.

Quality assurance of key data pipelines and research tables and coordinating their effective use by internal teams and external partners.

Candidate Description
Skills you should have

Bachelor's degree in computer science, ecology, or a related field
Highly organized, analytical, detail-oriented and self-motivated
Experience engaging with academic researchers
Demonstrated experience and data science skills with Python or R
Ability to work with large datasets and visualize data effectively
Experience with version control software and collaboration tools such as git and GitHub
Ability to work efficiently to a very high standard of detail while managing multiple priorities
Willingness to take ownership of projects and effectively communicate updates in a transparent and proactive manner

Also great

Graduate degree and experience with the peer-review process
Familiarity with issues of marine ecology or policy
Some experience with database query languages such as SQL
Experience in geospatial analysis of remotely sensed data
An understanding of the complexities and collaboration required to work effectively for a globally remote organization

If you don't think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you!
Hiring Process: If selected for consideration, the hiring process for this position will include a 30 minute administrative screening by an Human Resources manager followed by a formal 45 minute interview with 2-3 staff. Candidates advancing beyond this round will be asked to take a technical assessment and/or submit a representative code sample. Lastly, an informal 30 minute call with 3-4 members of the Research and Innovation team will be held with finalists.

Please apply by Friday, 17 February


Lead Data Scientist

 At Modernizing Medicine, we look for passionate, innovative, creative Rock Stars!

South Florida Business Journal, Business of the Year 2022
BIG Awards for Business, Company of the Year 2021
Best in Biz Award (Silver), Fastest-Growing Company of the Year 2021
South Florida Business Journal, Best Places to Work 2021
Inc. Magazine Best Workplaces of 2020

Modernizing Medicine is delivering truly disruptive and transformative products and services that will impact the healthcare industry.  The work we do makes a difference.

Our web and mobile applications are transforming healthcare information technology to increase practice efficiency and improve patient outcomes.  We offer end-to-end specialty-specific solutions from practice management, through EMR to Revenue Cycle Management (RCM) that maximize office interactions, patient visits, collections and reimbursements.

ModMed is looking for an outstanding Lead Data Scientist to join our advanced development team. You will work on highly-visible, highly-impactful problems, positively impacting medical providers and their patients. In this role, you will influence the product roadmap and business decisions, collaborating closely with medical providers, business leaders, data engineers, software engineers, and other scientists.
Your Role:

Lead our data science projects by setting the best practices for delivering high-quality data science projects, establishing best practices, and providing guidance to more junior data scientists.
Formulate and define science problems based on business needs and requirements.
Translate business problems into an analytical framework and form testing hypotheses that can be answered with available data using scientific methods or identify additional data needed in the master datasets to fill any gaps.
Create large-scale data science products that leverage data transformation and machine learning models.
Utilize advanced expertise when designing and developing algorithms and models against large datasets.
Collaborate with cross-functional teams with medical providers, business leaders, data engineers, software engineers, and other scientists.
Ability to take abstract ideas to proof of concepts into commercially viable solutions with partnership from product and executive leadership.

Skills & Requirements:

Real-world experience solving complex, statistical, and machine learning projects.
Familiarity with state-of-the-art statistical and machine learning methods, understanding the entire life-cycle of machine learning projects
Experience building end-to-end solutions.
Experience working on multiple projects at once.
Strong understanding of machine learning theory and familiarity with deep learning and computer vision.
Advanced coding experience in Python and SQL.
Exposure to, or knowledge of, one or more data warehouses and data lake tools such as Databricks, Snowflake, Amazon Redshift, etc.
Minimum of 7 years of relevant experience focusing on advanced analytics and predictive modeling.
Bachelor's degree in Data Science, Computer Science, or related field, with a preference towards a Master's or Ph.D. degree.
Healthcare experience is a plus.

Modernizing Medicine Benefit Highlights:

Health Insurance, 401(k), Vacation, Employee Assistance Program, Flexible Spending Accounts
Employee Resource Groups

Professional development opportunities including tuition reimbursement programs and unlimited access to LinkedIn Learning
Weekly catered breakfast and lunch, treadmill workstations, quarterly onsite massages, onsite dry cleaning, onsite car wash and many more!

#LI-KM1
#LI-REMOTE


Advanced Analytics Ai Ml Data Science Technical Manager

West Monroe is seeking an experienced Data Science Manager. This is an excellent opportunity to join our growing Analytics practice that leverages advanced analytics, data science, and machine learning / artificial intelligence (ML / AI) to create impact for clients.  Responsibilities

Manage end-to-end data science workflow from data ingest and wrangling to analysis and presentation, including writing code, performing code and deliverable review, and people and project management, on due diligence and value creation engagements across various sectors, including Private Equity, Financial Services, Technology, and Consumer & Industrial Products
Develop and test key investment hypotheses by asking the right questions and using appropriate data science approaches to derive data-driven answers
Deploy analytics and machine learning models on large datasets using West Monroe’s proprietary data science platform Intellio® Predict to inform investment and operational decisions
Devise creative methods to enhance our team’s capabilities in delivering analytics strategies and associated work, including presenting at internal skills-building seminars and contributing to data science-related product, asset, and offering vision and development
Assist in business development by understanding business needs and requirements to create work plans, pricing estimates, detailed proposals, and Statements of Work
Build the Next Generation of analytic Leaders through formal and informal mentoring of teammates within the Analytics practice and developing collaborative relationships across the rest of the firm

Qualifications

Depth and breadth in statistics, machine learning, and R/RStudio
Basic knowledge in SQL and github is required
Experiences with econometrics, cloud databases, Spark, AWS, and Python are pluses
Strong interest in data science applications in business, management, and investing
Experience with managing 2-5 teammates on data science projects
Demonstrated experience with individual contribution to code, code review, and building deliverables for presentation, as well as leading technical engagements including proposal development, estimation, and day-to-day project management experience
Desire to lead and mentor other data scientists while leading projects and acting as client liaison
Excellent leadership, organizational, verbal, and written communication skills
A commitment to inclusion and diversity, and openness to new ideas and perspectives

#LI-REMOTE
Based on pay transparency guidelines, the salary range for this role can vary based on your proximity to one of our West Monroe offices (see table below). Information on our competitive total rewards package, including our bonus structure and benefits is here.  Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.
Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Ten weeks of paid parental leave will also be available for use after successful completion of one year of employment.


Staff Data Scientist

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

Research the state of the art of machine learning, statistical modeling and optimization technologies, and their applications in digital marketing, digital media and e-commerce.

Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.

Initiate and lead the execution of data science research and product development often with cross-functional, multidisciplinary teams. Collaborate with stakeholders to drive decisions.

Act as an effective technical liaison to the business leaders. Work effectively across business, creative, and engineering groups to build a positive culture.

Mentor and/or manage junior members on the team and internally serve as a subject matter expert. Contribute to the cross-organization technology strategy and roadmap for data science.

Help create and promote an inclusive environment where team members feel comfortable and empowered.

What We Are Looking For

6+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.

Our core problems to solve are:

website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.

text and image generation - leveraging recent advances of large language models and their derivatives to scale what our creative functions can do.

recommender systems - represent a large user and item space in a way to efficiently retrieve and rank personalized recommendations to our users.

Candidates with specific expertise in any of these areas will be highly preferred.

Expert knowledge of deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.

Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.

Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business with a proven track record of advancing research ideas into production.

Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.

Experience leveraging technical expertise to identify the feasibility of potential machine learning projects, ensuring the team is delivering value on feasible projects.

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

Starting Salary: $150,000 - $210,000*Note actual salary is based on geographic location, qualifications and experience
Health Insurance Coverage (medical, dental, and vision)
Life Insurance
Short and Long-Term Disability Insurance
Flexible Spending Accounts
Paid Time Off
Holiday Pay
401(k) with match
Employee Assistance Program
Paid Parental Bonding Benefit Program

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

#LI-SM2
#LI-Remote


Manager Of Consumer Analytics

We are looking to hire a Manager of Consumer Analytics to join RVO Health.
We are building an industry leading healthcare platform that will integrate the consumer health journey and help consumers access the right information, care, products, and services at the right time, bringing differentiated value to the lives of millions of people. RVO Health is a new joint venture formed via a partnership between Red Ventures, one of the world’s premier digital and consumer analytics companies, and UnitedHealth Group, one of the largest healthcare providers in the world.
This exciting new role on the Membership & Retention Team will focus on business analytics and data science activities that deliver data-driven, actionable insights to better understand our Consumers and how to market to them. This role will support all LoBs and divisions with an initial focus on our Optum Store business.
What You'll Do:

Build creative data science and analytical solutions to solve complex business problems
Create data models for marketing and the business that drive customer lifetime value, increase purchase frequency and revenue, and facilitate a deeper understanding of our customers and their behaviors
Lead propensity model and persona development and implementations to help in acquisition Marketing efforts
Be the consumer data expert, understanding the data sources and touch points across a customer’s journey to support the business as we grow and add solutions, products, and services
Use data and analytics to tell compelling stories about our customers and our services using modern BI tools and concise, accurate, timely reporting
Be a data-literacy advocate, accelerating data knowledge and utilization across our colleagues and customers
Be a team player and advocate, and help create a inclusive, comfortable environment
Partner and work effectively with all levels of the organization and stakeholder

What We're Looking For:

3+ yrs of professional experience in a data science and analytics role, working with consumer, retail, and marketing data
Domain experience in areas such as consumer analytics, customer acquisition and retention, marketing analytics, and forecasting is highly desirable
Proven track record of building models and solutions that generate consumer insights, find patterns, predicts behaviors, and solve business challenges
Experience building dashboards and reports, and presenting complex results effectively to all levels of the organization
Some level of experience and understand of healthcare data is a plusSome level of experience and understand of healthcare data is a plus

Candidates with specific expertise in any of these areas will be highly preferred:

Strong analytical skills and background, and highly skilled data wrangling and modeling skills
Proficiency in SQL and languages like Python/R/Scala
Proficiency building various AI/ML models, such as segmentation, clustering, propensity, persona, and forecasting
Good understanding of data visualization with experience building dashboards in modern BI tools such a Domo/Tableau/Power BI
Some experience with marketing analytics and campaign tools such as Adobe, Google, UnicaSome experience with marketing analytics and campaign tools such as Adobe, Google, Unica
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Entrepreneur mindset with strong business acumen and capability of coming up with creative ideas to generate value for consumers and business

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

Starting Salary: $97,000 - $153,000 *Note actual salary is based on geographic location, qualifications and experience

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

Who We Are:

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

RVO Health Privacy Policy: https://rvohealth.com/legal/privacy


Director Of Research And Evalution

THE ORGANIZATION
The Charter School Growth Fund (CSGF) is a leading nonprofit venture philanthropy fund dedicated to identifying the nation’s best public charter schools, investing in their expansion, and helping to increase their impact. Our “portfolio” includes 150+ charter school networks that operate 1,200+ schools and serve more than 550,000 students. We are committed to expanding the impact of schools that are closing achievement and opportunity gaps. CSGF operates with the same strategies, discipline, and focus as a venture capital firm by awarding multi-year grants and loans to talented education entrepreneurs building networks of high-quality charter schools that enroll traditionally underserved students. Ultimately, we think the portfolio can grow to serve ~1,000,000 students within a decade.
This is an exciting time to join the Charter School Growth Fund. We recently launched a new philanthropic fund, building on our 15-year track record of success. CSGF’s new five-year “Fund IV” is larger in size and scope than previous funds, with a goal to continue to fuel charter sector growth, accelerate innovation, and strengthen long-term outcomes for students, particularly students of color and those from low-income backgrounds. Our new fund will continue to prioritize investments in leaders of color as our current portfolio is led by more than 50% leaders of color and more than 50% female leaders. We believe it is vital for the networks we support to be proximate to the lived experiences of the students and communities they serve.
THE OPPORTUNITY
About Our Team
With the launch of the next philanthropic fund, the Analytics team is expanding and evolving to meet the growing needs of an ever increasingly data driven organization. The Analytics team sits at the intersection of our investment, impact, innovation, policy, finance, and talent teams which all have data needs to drive their goals. The Analytics team also serves the need to progress monitor CSGF’s key performance indicators that measure our impact across the network. These insights are shared internally as well as with our many funders. In addition, we seek to expand the role of analytics to provide direct analysis support to our growing portfolio of charter school networks. To accomplish this, we leverage nationally collected data sets from a variety of sources and provide flexible and timely analysis to our many stakeholders and partners.
The team is made up of three core functions: engineering, data products, and research & evaluation. This full-time permanent role will lead the Research & Evaluation function within the larger team. This role reports to the VP of Analytics.
Our Analytics Stack

Google Cloud (backbone architecture)
BigQuery (data warehouse)
dbt Cloud (data modeling/monitoring)
Tableau (data visualization)
Python (data modeling & engineering)

About This Role
The Director of Research & Evaluation will lead the research, data science, and analytics capacity needed to provide insights to inform organizational strategy and ultimately CSGF portfolio performance. In addition, they will also lead the implementation and continual refinement of CSGF’s approach to school evaluation. This individual will work closely with the other members of the Analytics Team and the Portfolio Team to drive ongoing data-driven decisions throughout the organization and in support of the CSGF portfolio.
KEY RESPONSIBILITIES
Below is a general outline of responsibilities. CSGF is a fast-moving organization, roles and responsibilities may change to meet the needs of the organization and the charter networks we support.
It is not expected that every candidate will meet all of the desired qualifications; above all else, we are seeking candidates with an eagerness and ability to learn new skills and solve interesting problems in an environment that encourages creative thinking, quick feedback loops, and opportunities for professional development.
Leadership

Establish the vision and strategy for the Research & Evaluation department within the larger Analytics team
Develop and successfully execute an annual research and insights agenda
Manage, coach and develop the Evaluation and Insights Analyst

Research and Insights Analytics

Select and utilize appropriate research methods and tools of data science to mine the wealth of data collected on the schools and networks in the CSGF portfolio to produce high-quality, reliable insights and metrics that will inform CSGF strategy and decision-making.
Package and disseminate insights and tell data stories on a regular basis and through a variety of different channels and mediums, including blogs, presentations, products, written reports, etc.
Work with CSGF team members organization-wide to develop quality research questions and testable hypotheses.
Codify and implement a consistent methodological framework to guide all analytics done by the Analytics team.
Help inform portfolio and public data collection needs and priorities annually with an eye to generate improved measures of evaluation and insights.
Propose and lead self-directed large-scale research projects that have strategic value for CSGF, and serve as an advisor on research projects led by other teams, making connections among research projects across the organization.
Help CSGF develop and refine perspectives on key academic and post-secondary outcome-related questions and measurements.
Build relationships and provide thought-partnership on methodology and insights with other national education data leaders and CSGF funders.

Evaluation

Use research and data science to implement an organization-wide school evaluation framework for CSGF’s new applicant processes, proposed investments and for the annual review of current investments.
Continually monitor, strengthen, align, and build on CSGF’s evaluation framework to ensure an equitable and common approach to evaluating academic and school performance, including bringing a DEI lens and ensuring nuance in evaluation based on various factors.
Build trust and strong partnerships with internal CSGF team members to ensure alignment and understanding of CSGF’s metrics, while obtaining feedback and seeking to understand team member use cases, values, and decision-making around data.
Collaborate with external partners, researchers, and funders to ensure continuous learning and improvement on approaches to school performance evaluation.
Improve the due diligence student outcomes analysis process, including streamlining the development of the standard scorecard and custom analyses, and creating a process to ensure that all stakeholders obtain a deep understanding of the evaluation analysis.

REQUIRED QUALIFICATIONS
Expected Skills and Characteristics

Exceptional quantitative and qualitative analysis skills with demonstrated ability to analyze data to derive actionable insights.
Outstanding written and verbal communication skills and storytelling ability.
Experience using the tools of data science to derive insights from large, messy datasets
Experience conducting data analysis using Python, R or other statistical software.
Experience creating data visualizations.
Experience querying data using SQL is a plus.
Experience managing complex, cross-functional projects from beginning to end.
Strong attention to detail and balance of accuracy and urgency.
Capacity to quickly learn new skills, seek honest feedback from peers and mentors, and know when to ask for help.

Professional Experience

At least five years of full-time professional experience in research, data analytics, data science, education, and/or similar fields
Experience leading and executing a research agenda within an organization
Experience in public education preferred

WORKING AT CSGF
We are focused on hiring and developing great people and believe that building diverse perspectives across our team makes us more effective in expanding our impact. (This is reflected in Our Commitment to Diversity Statement.) Our core values are:

Results. We work relentlessly to create efficient, measurable, and sustainable results. We strive for excellence and pursue our mission tenaciously. Ideally, you thrive working in a self-directed manner in a fluid environment where flexibility and tenacity are required.

Entrepreneurship. We embrace calculated risks and new approaches. We have an entrepreneurial spirit that welcomes innovation, diversity of ideas, and risk. We rely on you to question conventional wisdom and think independently.

Integrity. We are truthful, fair, and trustworthy in all aspects of our work. We hold ourselves and our partners to the highest ethical standards. We trust you will too.

Respect. We appreciate the challenges faced by education entrepreneurs and recognize the limits of our own knowledge. We understand that our ultimate success depends on that of our partners. Your humility will be key to building trusted and authentic relationships.

Teamwork. We value each of our team members as individuals but believe that we achieve the best results by working together. We willingly sacrifice individual interests and recognition for greater collective impact. We hope having fun at work is important to you and that you are a team player.

COMPENSATION
Compensation is commensurate with experience and education. The target salary range for this role is $100,000 - $125,000 annually. CSGF offers a very competitive compensation package.
START DATE
CSGF is seeking candidates who can start as soon as possible.
COVID-19 VACCINATION POLICY
Unless prohibited by state or local law, CSGF requires that all staff be fully vaccinated with an FDA or WHO authorized vaccine (or approved for an exemption as a reasonable accommodation due to a medical reason or sincerely held religious belief). CSGF abides by each state’s requirements and acknowledges those may change over time. If moved forward to the phone screen stage, you have the chance to ask the talent team any questions you may have about this requirement.
Charter School Growth Fund provides equal employment opportunity for all applicants and employees.