Lead Data Scientist Growth Cx

Facet is a fully remote FinTech company with a mission to empower people to live more enriched lives by delivering a new standard of financial advice that elevates expectations across consumers and the industry.
We believe that unbiased, personalized financial advice that integrates into every facet of life is essential to living well. People’s financial lives are dynamic and ever-evolving, so we cover everything money touches–from starting a business to buying real estate to your investments and much more. Facet believes financial advice should be delivered with a fresh, human-plus-tech approach, that includes a CFP® professional–the highest certification possible.
The Role:
As a Lead Data Scientist, Growth & CX at Facet, you will push the limits of our analytics capabilities through research, experimentation, and cutting edge data modeling techniques. You will join the new Growth & Client Experience (CX) Analytics team within Facet tasked with modeling and understanding the financial services market, end-to-end Facet client experience, and the performance of Facet’s marketing campaigns. You will be a highly visible and leading figure at Facet by promoting the benefits of data science across all parts of the company, building a foundation of highly standardized data requirements and models, evaluating new tools and resources necessary to perform diagnostic and predictive analysis, and using your analytics and communication abilities to drive evidence-based change in Facet’s strategy.
Day-To-Day Responsibilities:
Drive improvement in Facet’s business. As a Lead Data Scientist, you will be responsible for leveraging advanced research and analytics techniques to discover ways to improve Facet’s business. You will proactively identify opportunities and prioritize your work to help Facet achieve its business priorities.Promote the value of data science. As a new function at Facet, you will educate the team on the value and capabilities of modern data science techniques. You will inspire your teammates to ask better questions and teach them to view their work through an experimental lens. You will proactively communicate the importance of measurable processes and controlled experiments to run these programs at peak efficiency, allowing us to get from implementation to analysis quickly while curating clean, properly structured data.Lead research and experimentation. You will partner with Marketing, Sales, CX, and Product teams to plan research and experiments, work with Business Operations and Engineering teams to ensure we collect and replicate all necessary measurements in our data warehouse, model and analyze data, then present results and build self-service reporting to drive improvement in Facet’s Growth and CX programs.Develop and maintain models. You will lead the development of diagnostic and predictive models which estimate the drivers of change in core growth metrics and estimate the impact of future strategic changes. You will leverage advanced techniques to make sense of large, sometimes unstructured, datasets so that Facet teams can proactively identify the needs of our clients at all times and at different stages of the customer journey.Govern the end-to-end analytics pipeline. You will lead prioritization discussions and contribute to documentation from measurement engineering, to replication and modeling, to research and analysis, to insight dissemination and activation.Collaborate on analytics engineering projects. You will contribute to our shared analytics capabilities by partnering with Facet’s Business Operations and Financial Planning & Analysis data teams to develop common, core data models in dbt and leverage shared analysis tools.
Basic Qualification:
6+ years of experience in a data science or analytics role, with at least 3 years of experience as a Data Scientist.Strong understanding of core growth and CX metrics including LTV, retention, CAC, ARR, ARPC, usage, and engagement.Strong understanding of market, CX, and UX research processes.Experience working with behavioral data from website and email tracking tools such as Google Analytics, Segment, and Iterable.Experience developing evidence-driven customer segments and models based on demographic, psychographic, and behavioral data, customer journey stage, propensity to buy, product engagement, and sentiment.Proven ability to analyze customer behaviors to identify common pathways, describe usage of website and product features, and identify promotions that impact a customer’s experience.Understanding of warehouse-driven customer data platform concepts, including the development of identity resolution models - creating common identifiers to join customer data across many data sources and produce a single source-of-truth record of a customer’s history and current state.Proficiency with statistical techniques including regression, classification, clustering, dimensionality reduction, and experiment design.A master of SQL.Proficient with Python or R.Experience working with an enterprise data warehouse and dbt.Experience developing and maintaining self-service reports and maintaining dashboards in Looker, Tableau, Google Data Studio, or similar tools.Exceptional organization and documentation abilities.Outstanding communication, data visualization, and presentation skills.
Preferred Qualifications:
Experience building weighted multi-touch attribution models and researching significant drivers of sales performance.Familiarity with natural language processing (NLP) tools and techniques to analyze call transcripts, chat logs, and survey response data.Experience with diagnostic analytics tools like Sisu.Experience working with campaign, lead, contact, opportunity, contract, task, event, and case data from Salesforce.Experience working with engagement, ad performance, and billing data from Google Ads, Facebook Ads, and LinkedIn Ads.Experience working with survey response data from Qualtrics or Iterate.Experience working with customer data from third-party data providers.
Perks & Benefits:
$130,000 - $160,000 annual salary + bonus determined by the experience, knowledge, skills, and abilities of the applicant - Please note, our salary ranges are based on current market data. Should you feel strongly that we are not in line, we highly recommend you to reach out and let us know. We are always looking to improve on building the best place for employees.Equity Unlimited PTOAll the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leaveCertification reimbursement program Work from anywhere in the US
Equal Opportunity Employer
We’ve consciously built an equitable and inclusive culture where everyone is welcome to bring their authentic selves to work. At Facet Wealth, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our clients and employees.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Staff Data Scientist

About Us:
Cityblock Health is the first tech-driven provider for communities with complex needs—bringing better care to where it’s needed most, block by block. Founded in 2017 on the premise that “health is local” and based in Brooklyn, we are backed by Alphabet’s Sidewalk Labs along with some of the top healthcare investors in the country.
Our mission is to improve the health of underserved communities. Importantly, our solutions are designed specifically for Medicaid and lower-income Medicare beneficiaries, and we meet our members where they are, bringing care into the home and neighborhoods through our community-based care teams and Virtual Care offerings.
In close collaboration with community-based organizations, local providers, and leading health plans, we are reorganizing the health system to focus on what matters to our members. Equipped with world-class, custom care delivery technology, we deliver personalized primary care, behavioral health, and social services to deliver a radically better experience of care for every member and community we serve.
Over the next year, we’ll grow quickly to bring better care to many more members and their communities. To do this, we need people who, like us, believe that everyone should have good care for what matters to them, in their community.
Our work is grounded in a belief in the power of a diverse community. To close gaps in care and advance equity in the communities we serve, we have to start with making our own team diverse and inclusive. Our ways of working are characterized by creativity, collaboration, and mutual learning that comes from bringing together a community from diverse backgrounds and perspectives. We strive to ensure that every person on the Cityblock team, and every Cityblock member, feels supported and included as a part of our community.
Our Values:

Aim for Understanding
Be All In
Bring Your Whole Self
Lean Into Discomfort
Put Members First

For information about the Cityblock Tech team, please visit our blog: https://technology.cityblock.com/

About the Role:
Cityblock Health is looking for a Data Scientist to help us conduct deep analysis and build machine learning models. You will work with stakeholders across the organization to develop your own predictive modeling and machine learning intelligence on Cityblock data, and to build innovative, scalable solutions that address key business, operational, clinical, and product use cases.
Your work may inform decisions across our Growth, Market Operations, and Clinical teams or you might develop data-powered solutions for Commons, our digital care management platform. Commons enables our clinical teams to engage with patients, collect data about medical, behavioral and social needs, and develop personalized care plans that drive good health. Your solutions may be deployed as part of product features in Commons or help guide product development for machine intelligence-driven scale.
We are looking for a curiosity-driven and solution-oriented team player with a keen interest in people to develop solutions to problems that matter. You are eager to take on the entire model development workflow. You get and prepare data, you build and deploy models. You assess the performance of your solutions and you work with users and stakeholders to ensure that your solutions meet business and product objectives.
We value experimentation and a question-oriented and hypothesis-driven approach to data. We look for an ability to make pragmatic decisions about trade offs as we build reliable and scalable machine learning  solutions (e.g., what to develop now vs. save for a future iteration). We believe that clear communication is key to success, you will contribute to evangelizing the meaningful use of data science and machine learning across the organization.
If you’re inspired by such a challenge and are an amazing teammate, we’d love to hear from you!

Requirements for the Role:

You have a PhD in a technical or scientific field and at least 1 year of industry experience OR you have 3+ years of experience in a data science or machine learning role
You have put models into production
You have worked with big-ish data and you are an advanced user of SQL, Python (preferred) or R, and associated packages for data processing and model development
You can flexibly choose the right approach, model, and tool for a given challenge
You have strong analytical and problem-solving skills. You take a critical approach to data and are mindful of the responsibilities that come with technologies that drive scale
You are curious and playful with an ability to handle ambiguity. You enjoy identifying, scoping, and developing solutions with limited guidance, you have good product sense
You enjoy explaining complex concepts to technical and non-technical audiences, and you are excellent at it
You have a passion for doing mission-oriented work. You value solutions and people over technology

What We’d Like From You:

A resume and/or LinkedIn profile
A short cover letter, please!

Cityblock values diversity as a core tenet of the work we do and the populations we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
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We do not accept unsolicited resumes from outside recruiters/placement agencies. Cityblock will not pay fees associated with resumes presented through unsolicited means.


Data Scientist

Based on the evolving situation with Covid–19 we are mostly remote, this includes the hiring process. We are in the process of moving to a hybrid of onsite and remote with some positions remaining 100% remote.

Why This Role Is Important To Arcadia

Arcadia’s Office of Data Science supports Arcadia and our customers through development of new and powerful tools based on advanced and predictive analytics. These tools are intended to provide novel approaches to solving problems that are too complex or too onerous to manage through existing technology, but too important to leave inadequately addressed.

Our objective is not just to create tools but to also offer direction on how predictive analytics can and should be used, in a way that both supports our customers’ business objectives and directly promotes the health and dignity of the patients whose data are in our care.

As a Data Scientist, you are central the success of the mission of the Data Science team. Our Data Scientists have a broad range of responsibilities that both support the continuing growth of our team’s portfolio as well as their own growth as scientists and as professionals. Our expanding set of programs require thoughtful individuals who not only embrace the critical value of effective data analytics but also the value of scientific rigour around their development.

What Success Looks Like
In 3 months
You’ve been with Arcadia for three months and the “firehose” is starting to let up a bit. Fortunately, you’ve had some time to familiarize yourself with Arcadia’s data tools and capabilities. You’ve developed an understanding of the Arcadia’s standard data model and can now generate data extracts for your own experiments and testing. That involved a number of different directed efforts, many of which had unexpected results. By reviewing those results with your colleagues on the Data Science Team, your understanding of the data relationships has improved, and you’ve also become more comfortable and adapt to communicating and collaborating with the Data Science Team. Under the direction of the team lead, and by applying appropriate literature review and modeling techniques, you’ve developed an initial product prototype ready for validation by and review with the Data Science Team.

In 6 months
You’ve been with Arcadia for six months and have become much more familiar with the various teams and structures at Arcadia, allowing you far more independence in seeking advice and consulting on projects. You’ve assisted your colleagues on the Data Science team with a couple analyses and have been asked for your thoughts on some new ideas in development. You have also advanced one of your own initial designs to the stage where it should be ready for high-level review with the Product Team. You’ve been preparing a presentation and talking points with your colleagues in anticipation of that review. You’ve also become more familiar with Arcadia’s complete product and tool suite, which helps you prepare to place you work in the context of the full product suite and has allowed you to have substantive conversations with your team about how your expertise can improve on Arcadia offerings, products, and operations.

In 12 months
You’ve been with Arcadia for twelve months and have become far more confident in self-driven research and development. Under the direction of the team lead, you are taking on projects ranging from small updates to complete start-to-finish development. You productively collaborate with Arcadians in new development and responding to existing issues. You are beginning to take on relationships with customers who make use of Data Science products/offerings, with the ability to respond both to requests for support as well as refinement of enhancements to existing products. You are also in the midst of the release process for an offering that you substantially developed yourself, including working with your colleagues to develop user and technical documentation, sales and marketing materials, and internal implementation guidelines, and are having strategic discussions with the Product leadership about what you would like to create in the next twelve months.

What You'll Be Doing

Building and testing new predictive tools
Performing exploratory data analysis on extremely rich health care datasets
Evaluating opportunities for new products; Creating effective documents and visuals to share your knowledge and insights with others - Both within Arcadia, among our customers, and to the general public
Begin building your own portfolio of tools and programs as a cohesive body of work that will help you grow the team and your own career over time

What You'll Bring

Familiarity with Python in the context of a complex application, such as statistics, machine learning, or application design
Experience using machine learning tools, such as TensorFlow and scikit-learn, and other data science toolkits like pandas and stats
At least three years experience in the sciences as a researcher, with personal experience in experimental design, statistical testing, and exploratory data analysis. This can include:  Recent (or near completion of) graduate program requiring substantive research in a field requiring quantitative/statistical analysis; Researcher or data scientist with at least three years experience in a program or organization focusing on quantitative/statistical analysis
Solid communication skills, including the ability to document and effectively describe work for multiple audiences and generate descriptive figures
Desire to think concretely about new fields and unusual ideas
The ability to move fast and slow… To take the time to confirm understanding, to consider options, to communicate process, to test results. And the ability to do so and act on those considerations in a limited and defined timespan
Familiarity with Excel as a data exploration tool or comfort with an equivalent option
Knowledge of professional productivity tools, such as Word, Excel, Powerpoint, etc.

Would Love for You to Have

Experience and/or knowledge in a field of health care, such as healthcare IT, medical research, or epidemiology
Strong capabilities in SQL, Python, AWS tools and git
Experience using statistical programming tools such as Python and R
Experience in solving optimization problems: both convex and nonconvex
Experience in building a product and taking ownership
Proven coordination between colleagues and consultation with peers when diving into a project

What You'll Get

Freedom to leverage the vast array of data science tools on one of the biggest healthcare databases to enhance the healthcare experience
Work closely with fellow data scientists and product managers to develop your career
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development
Be a member of the Arcadian and Barkadian Community

About Arcadia
Arcadia.io helps innovative healthcare systems and health plans around the country transform healthcare to reduce cost while improving patient health.   We do this by aggregating massive amounts of clinical and claims data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time.  We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as the market leader in the highly competitive population health management software and value-based care services markets, and we have been recognized by industry analysts KLAS, IDC, Forrester and Chilmark for our leadership. For a better sense of our brand and products, please explore our website, our online resources, and our interactive Data Gallery.

This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.


Senior Data Scientist

The Team and Role
Our Applied Data Science team is tackling challenges such as homeowner-contractor matching, forecasting key business metrics, and using predictive models to optimize consumer experience. This role will give you the opportunity to use state-of-the-art machine learning techniques and open-source big data processing tools.
As a Senior Data Scientist, you will be responsible for:

Creating mathematical and data driven solutions for difficult problems at scale
Developing, maintaining, and monitoring the performance of production quality code
Becoming the domain expert for one business segment in the Angi organization
Communicating project results and insights with stakeholders across Angi

Team members in this role are successful when they have a Master’s degree or PhD in Statistics, Applied Mathematics or similar quantitative field and/or 3+ years of experience in:

Performing quantitative analysis, predictive analytics, mathematical modeling and/or machine learning
Demonstrating creative problem solving skills to inform decisions, improve outcomes, and deliver transformation through data
Developing predictive models and analysis using R and/or Python
Interacting with data using SQL
Deep knowledge of machine learning and data mining algorithms
Bonus points if you’ve worked with ML frameworks like Tensorflow and have familiarity with Git, Docker or AWS

Compensation & Benefits:

The salary band for this position ranges commensurate with experience and performance. Compensation may vary based on factors such as cost of living
This position will be eligible for a competitive year end performance bonus & equity package.
Full medical, dental, vision package to fit your needs
Flexible vacation policy; work hard and take time when you need it
Pet discount plans & retirement plan with company match (401K)
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

#LI-Remote#BI-Remote


Research Scientist

About the Role:
As a Research Scientist, you will join a team of researchers developing and iterating on core products and features.  We work closely with Product Management, Engineering, and Design to ideate, execute, and iterate on product functionality to support personalized and accelerated learning.  The ideal candidate has foundational research experience to make meaning out of large-scale, raw data; has an understanding and ability to apply a breadth of methodological tools (ML a plus) to solutionize product needs; and has a nimbleness in working across a variety of research needs to support product development.
What You’ll Be Doing:

Research projects will support a range of company goals, including developing new product features, understanding impacts associated with changes or enhancements to the product, and evaluation of outcomes associated with external student proficiency.
Independently design and implement formative and summative research on assessment and growth of mathematical proficiency.
Collaborate on the design and analysis of experiments (i.e. A/B testing or randomized controlled trials) to evaluate the impact of new product features and learning pathways.
Conduct analyses of existing data from our extensive data warehouse in collaboration with others on the Research team in support of critical product development initiatives.

About You:

Master’s Degree (PhD preferred) in Statistics, Data Science, Psychology, Education, or related quantitative field or 2-3+ years of relevant experience
Familiarity with Psychometric Techniques or Techniques Associated with Other Relevant Areas of Expertise
Strong knowledge of SQL, Python/R, and data warehouse technologies required
Strong communication skills of conveying technical information to non-technical audiences
A willingness to explore new alternatives or options to solve data issues, and utilize a combination of research best practices, methodological innovations and your experience to get the job done
Experience with Tableau or other data visualization tool a plus
Experience in education or product research beneficial but not required
Must be legally authorized to work in the United States

#BI-Remote #LI-Remote


Senior Ml Nlp Data Scientist

Paper is looking for a Senior Data Scientist - NLP to join the growing R&D team. You will be responsible for performing research and applying techniques in natural language processing, machine learning and information retrieval.
In this role, you will be responsible for designing and implementing algorithms to solve technical problems and you are expected to adopt a scientific approach when conducting R&D experiments. you will spend a significant amount of time planning, building, and deploying NLP custom and off-the-shelf solutions while working closely with our engineers. You should be self-directed and comfortable conducting applied research in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:

Design, develop, evaluate and deploy ML / NLP techniques.
Mine and analyze data from the company databases to create standardized datasets.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data collection techniques.
Use predictive modelling to improve service delivery, customer experience, and other business outcomes.
Develop custom data models and algorithms.
Coordinate with different functional teams to implement models and monitor outcomes.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Qualifications:

+4 years of hands-on experience building neural networks, statistical models and machine learning techniques, with a Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field.
Extensive experience with Python and common data science libraries (Numpy, Scipy, Pandas, Matplotlib, Seaborn).
Thorough familiarity with machine learning libraries (Scikit-learn, TensorFlow, Pytorch) and NLP libraries (NLTK, spaCy, CoreNLP, Gensim, TextBlob).
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, regression, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience with putting Machine Learning models into production.
Comprehensive knowledge of GCP cloud computing services.
Experience with visualizing/presenting data for business stakeholders.
Strong problem-solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Experience using other statistical computer languages (R, MatLab, etc.) to manipulate data and draw insights from large data sets is a plus.
Experience using graph learning is a plus.

Job perks:

Work with a dynamic team that provides support whenever you get stuck.
Remote first environment.
Annual company-wide meetup.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.
Stipend to help support the growth of your home office.
24/7 access to Paper for family members K-12.

#LI-Remote #LI-ST01


Lead Data Scientist

Paper is looking for a Lead Data Scientist to join the growing R&D and Data Science team. In this role, you will be responsible for managing technical aspects of data science projects to ensure the success of delivered solutions. You will spend a significant amount of time designing, planning and executing technical solutions. You will work closely with our applied research scientists and engineers across the organization. You must be self-directed and comfortable providing guidance on applied research projects in Analytics and Machine Learning domains. You are eager to collaborate with a wide range of stakeholders and functional teams. The ideal candidate will have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:

Identify strategic technical objectives and lead data science technical roadmaps from ideation to implementation.
Improve the technical quality of the codebase via developing quality standards, leading training sessions, and enforcing code review processes.
Work with stakeholders throughout the organization to identify roadblocks and execute to unblock technical hurdles.
Mentor and coach data scientists on the team by providing direct feedback or comments in code reviews as well as leading pair sessions.
Lead rituals such as planning and retrospective meetings and backlog grooming to ensure consistent velocity.
Manage the team’s workload by controlling technical debt.
Collaborate with different functional teams and communicate technical and non-technical decisions.

Qualifications:

5-7 years of experience in data analytics and building statistical models, with a Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field.
+2 years of experience leading highly technical and analytical teams.
Proficiency in Python and Data science libraries including Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Pytorch, MatplotLib and Seaborn (R and Matlab are a plus).
Experience manipulating data and drawing insights from large data sets.
Solid knowledge of production infrastructure and pipelines for Data science solutions.
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience working with and creating data architectures.
Knowledge of GCP cloud services.
Experience visualizing/presenting data for business stakeholders.
Strong problem-solving skills with an emphasis on product development.
A drive to learn and master new technologies and techniques.
Excellent written and verbal communication skills for coordinating across teams.

Job perks:

Work with a dynamic team that provides support whenever you get stuck.
Remote first environment.
Annual company-wide meetup.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.
Stipend to help support the growth of your home office.
24/7 access to Paper for family members K-12.

#LI-Remote #LI-ST01


Data Scientist

Apply Now
How to Apply
A cover letter is encouraged. If you submit one, please attach it as the first page of your resume.
The University of Michigan Development Community is committed to growing and retaining a diverse and thriving workforce, demonstrating respect and inclusivity for all.
Note:  Remote or Hybrid work arrangement options are available for this position.
Mission Statement
The Office of University Development maximizes private support for the University of Michigan.
Why Work at Michigan?
In addition to a career filled with purpose and opportunity, the University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include:
Generous time off A retirement plan that provides two-for-one matching contributions with immediate investing Many choices for comprehensive health insurance Life insurance Long-term disability coverage Flexible spending accounts for healthcare and dependent care expenses
Responsibilities*
Reports to:  Director of Data Science and Decision Support
Manages:  N/A
What you will do: We are a small team of data lovers committed to diversity, equity and inclusion and using data for the common good: helping the University of Michigan improve our world through data-informed philanthropy. A typical work week will include a large amount of programming and algorithm development, a fair amount of data management, and visualization, and some outreach, usability testing, brainstorming, and other tasks. You will gain meaningful insight from messy, real-world data by writing reusable code and developing interactive applications.
For the full job description with a detailed list of responsibilities, please click here.
Required Qualifications*
A commitment to diversity, equity and inclusion in the workplace. Bachelor's degree or equivalent combination of education and experience. 3+ years experience with demonstrated competencies in information retrieval, computer science, data analysis, or similar fields. The desire to do serious data munging and data wrangling (at minimum, we expect demonstrated experience with SQL plus knowledge of another data preparation language). Experience turning data into action, emphasizing the ability to understand and use large datasets representing complex phenomena to present findings. The ability to summarize and translate data into meaningful stories. Curiosity and commitment to teamwork. Exposure to developing interactive, reusable and self-service online analytics tools. Familiarity with, or interest in learning, multiple machine learning and data mining concepts and techniques. Exposure to cloud-based analytics tools.
Additional Information
To be considered for this position, applicants must be currently eligible to work in the United States without requiring university sponsorship for continued employment.
For additional information about this position and to review other current openings in Development, please visit our website at: https://leadersandbest.umich.edu/careers/home
Application Deadline
Although the Posting End Date may indicate otherwise, this job may be filled and closed anytime after a posting duration of seven calendar days.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
U-M COVID-19 Vaccination Policy
COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.


Senior Data Scientist

Note: We support 100% remote work for applicants who reside in the following states: California, Colorado, Hawaii, Illinois, Massachusetts, New York, Oregon, Texas and Washington.
Textio's mission is to build software that creates understanding between people. Our category-defining augmented writing platform has transformed the way that thousands of companies write and hire, and now we are looking for a creative, curious, and experienced Senior Data Scientist to join us.
Are you passionate about creating meaningful business guidance from analytics data? In this role you will help evolve our analytics strategy by partnering with a welcoming and collaborative team of data scientists, engineers, product managers, and others, in order to advance Textio's quantitative understanding of our users, product, and business.
Textio is a phenomenal place to build, learn, experiment, and deliver impact as a data scientist! Insights from your analyses will power strategic company decisions, product direction, and the stories that Textio shares with the world. You will measure the quality and impact of current and future Textio features, build end-to-end analysis workflows, turn ad-hoc insights into data products, and directly bring value to customers through your work.
What you'll be doing:
Partnering with colleagues to understand Textio's analytics needs, developing strategies to address them, and translating results into operational, product, and customer impact
Leading development of product instrumentation, metrics, and experimentation capabilities
Designing, creating, and maintaining self-service analytics/BI solutions and the data sources and pipelines that back them (using tools such as Python, SQL, Tableau, Mixpanel, AWS, etc.)
Strengthening Textio's data-driven culture through mentorship, cross-functional partnerships, and technical leadership
We'd love to hear from you if you:
Have 4+ years creating precise, interpretable, inventive, and repeatable analyses strongly guided by business context
Enjoy discovering the narrative in a complex data set using scripting, statistical inference, modeling/machine learning, and visualization
Revel in helping teams define and track their success metrics, and better understand how their work bubbles up to overall company success; bonus if you have this experience while supporting a SaaS product
Have a proven track record of mentorship and technical leadership, and enjoy investing time in the growth of your colleagues
Have demonstrated experience mapping ambiguous problems into clear plans that enable collaborators to take concrete steps alongside you
Channel your curiosity into initiative to dive in, explore the data, ask questions, and figure things out
Communicate your point of view but are low ego
Benefits
We are building a truly diverse, equitable, and inclusive engineering team, and we have outstanding benefits to support our team members.
We are a fully distributed team. Without a central office, everyone's on an equal footing wherever you're based. Our positions are open to residents of California, Colorado, Hawaii, Illinois, Massachusetts, New York, Oregon, Texas, and Washington.
We offer flexible schedules and unlimited time off. We’re about long-term growth and success, so that means working sustainably.
We provide outstanding health care, dental, and vision coverage for you and your family.
Paid time to volunteer at non-profits. If you volunteer enough, we'll match your hours with donations.
On demand mentoring with Bravely.
The base salary range for this role’s listed level is currently $151,500 - $218,500. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. We will provide more information on our benefits and equity upon request. Disclosure as required by the Colorado Equal Pay for >Equal Work Act, C.R.S. § 8-5-101 et seq.
Textio embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. Textio will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require accommodation please contact recruiting@textio.com or (206) 492-8337 ext. 785.
Working at Textio is outstanding. Learn more about our philosophy, benefits, and team at https://textio.com/careers/. Reach out and share your story with us!


Vp Data Science

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.

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

About the Role:

In this exceptional leadership opportunity, you will lead Quizlet’s Data Science team to directly impact how the world learns. Data science and machine learning research from your team introduces new algorithms to Quizlet’s learning, content understanding, search/suggestion, and monetization areas. Core user and product analysis, KPI development, metrics innovation, and experimentation enable us to learn what works best for Quizlet learners and subscribers as we experiment with different ways of packaging and selling.

You will pursue these challenges as a data science thought leader and key executive partner in Quizlet’s Engineering organization. In addition to leading a world-class team, you will influence business and technical strategies to help us solidify Quizlet’s top spot consumer study tools and assignment help and continue our quest to revolutionize learning worldwide.

The preferred location for this role is San Francisco, CA; however, all U.S. Remote applicants are encouraged to apply.

In this role, you will:

Participate in Quizlet’s executive team: help set product and business strategy, represent learning science, data science and machine learning, initiate and debate key strategic topics and opportunities from your team’s work, and drive bold high-impact decisions
Inspire and lead your team to research and deliver strategic, innovative, learning science-backed and machine learning-based approaches to improve learning with Quizlet and the growth of our business
Lead strong partnerships with Quizlet’s product management, engineering, design, marketing, and content teams
Guide ongoing product decisions especially bringing confidence to long-term investments
Continuously help Quizlet improve understanding of our users in many global markets
Develop and evolve strategic roadmap for online learning capabilities and content understanding
Partner with product development teams to deliver actionable and significant insights on areas including users, growth and monetization
Grow and expand your expert team with an eye toward diverse and forward-pushing skills that span learning and cognitive science, machine learning, data science and analytics methods, data engineering, and experimentation
Instill an inclusive team environment that is innovative and collaborative

What you bring to the table:

A deep technical background in applied data science, spanning some or all of statistics, experimentation, machine learning, causal methods, optimization techniques, data engineering and architecture (applied to large data), and behavioral analytics
Skilled at operating in a cross-functional organization where your teams need to collaborate and integrate with other teams across several disciplines
Experience building and leading teams to drive science-backed consumer product growth with machine learning at Internet scale
Exceptional communication skills and are articulate with both technical and business partners; you create effective frameworks to aid the discussion of complicated topics, are an active listener, and naturally conscious of who needs to know what and proactively seek to share important context accordingly
Enthusiasm towards having a strategic impact at an executive level, including interacting with other leaders on complex issues and applying strong judgment and analysis toward important business decisions
Experience with the creation and evolution of company-critical KPIs
Proactive and passionate about organizational topics including DEI and the growth & development of individual contributors & people leaders
Experience building and leading a data science organization of at least 20 members among multiple teams

Bonus points if you have:

Completed advanced study or research in brain or psychology-related field requiring relevant data science skills
Curiosity about learning, learners, and how people learn around the world
Excitement to help Quizlet deepen and broaden our product to increase its relevance globally

Benefits & Perks:

Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!); 10 paid holidays plus additional days off in 2022 due to Covid
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Professional Development stipend (teach yourself something new)
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 hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

We 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.


Data Scientist Nlp

About this Position
Curate, part of FiscalNote, is seeking to hire a full-time Data Scientist.  As a Data Scientist, you will be at the core of our advanced analytics where you will be identifying, designing, and implementing machine learning-based solutions to analyze and model our ever-increasing database of millions of municipal documents. You will be working on a wide range of problems that include data processing, training and evaluating our machine learning models, utilizing state-of-the-art machine learning solutions, and much more. You’ll lead the way in all stages of researching and developing insightful and actionable models and analysis, looking into the future, and becoming an internal and external expert. You will be part of the team that is responsible for the success of machine learning-powered automation at Curate, and you will contribute to actionable insights and build automated systems that deliver our business artificial intelligence (AI) solutions to our customers.

About the Curate Team
Curate helps businesses efficiently monitor risk and find opportunities through municipal data - at scale. We scan thousands of local government websites looking for meeting minutes and agendas where decisions are made that impact our business customers. Based in Madison, WI the 25-member Curate team works collaboratively to ensure we’re always improving the product for our customers.

About You
You will be a part of the team that builds statistical, NLP, and ML-enabled services for intelligent data aggregation, manipulation, augmentation, and generation. As a part of FiscalNote, You'll get the opportunity to work at an institution pushing the boundaries of open data transparency, while collaborating with some of the industry’s brightest engineers and data scientists to devise, nurture, and implement cutting-edge solutions to continuously evolving engineering obstacles.

What To Expect in this Position:

Research and prototype ML & NLP models using the latest AI technologies and frameworks to better and improve Curate’s data review process, such as text extraction, tokenization, NER, POS tagging, and classification methods, as well as enhancing existing models.
Work on developing and architecting end-to-end pipelines around our models, such as establishing data standards, evaluation metrics, and KPIs to track overall performance over time.
Explore new data sources for integration with current data and new types of analysis, and spend time developing algorithms to analyze patterns and insights from very large datasets.
Work with the management team and understand Curate's business needs in order to recommend, prototype, and productionalize new machine learning-based automated solutions.

What Sets You Apart:

2-4 years of industry experience (or equivalent) developing machine learning solutions. Advanced degree in Computer Science/Statistics/Applied Math/Economics/Political Science (or related discipline) preferred
Practical experience and strong understanding of techniques in machine learning (feature engineering, supervised & unsupervised learning, optimization algorithms, deep learning) and natural language processing (TFIDF, text classification, word embeddings, language models), demonstrated by the ability to dig deep into practical problems and choose the right ML method to solve them
Solid Python programming skills to quickly prototype, as well as develop, projects into production.
Experience with any modern machine learning frameworks such as Scikit-Learn, Pytorch, Tensorflow, or Spacy is highly desirable. Experience acquired in an academic setting is acceptable.
Experience working with large structured or unstructured data sets and running exploratory data analysis. Experience with MongoDB is not required but is a plus. Experience with Databricks is a plus.
Good communication skills, including the ability to present and communicate machine learning requirements and issues to non-technical teams.

Considering US locations only for this position and time zone requirements may apply in order to address team and business needs.
#LI-AW1

About FiscalNote
FiscalNote is the premier information services company focused on global policy and market intelligence. By combining AI technology, expert analysis, and legislative, regulatory, and geopolitical data, FiscalNote is reinventing the way that organizations minimize risk and capitalize on opportunity.

Home to CQ, Roll Call, Oxford Analytica, and VoterVoice, FiscalNote empowers more than 5,000 clients worldwide to monitor, manage, and act on the issues that matter most to them. To learn more about FiscalNote and its family of brands, visit FiscalNote.com and follow @FiscalNote.

At FiscalNote, we Lead with Values
Know your Audience ∙ Find the Truth ∙ Drive Alignment ∙ Level Up ∙ Own the Job ∙ Bias for Action ∙ Support the Family

FiscalNote is continuing to hire new talent, with all interviewing and on-boarding done virtually due to COVID-19.  New team members, along with our current staff, will temporarily work remotely (unless communicated otherwise).

If your background and experience align with the competencies above, we encourage you to apply so that we can review your experience and learn more about how you can add to FiscalNote’s growth and success.

Company Benefits
FiscalNote offers competitive salaries, equity packages, and retirement accounts to ensure we’re all FN owners. We work hard, so our open vacation policy helps us ensure you’re getting the R&R you need. We offer comprehensive health, vision, and dental insurance options supplemented by a flexible spending account (FSA). We have a slew of other benefits which you can check out at careers.FiscalNote.com.

FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.

FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.


Analyst Ii Data Science Machine Learning Innovation

The world is constantly changing, and the way people move, live and conduct business is evolving at a rapid pace. This presents an opportunity to expand and grow our offerings, while also reinventing them for the future of mobility, shelter, and commerce.  Solaria Labs is a global team that explores how trends will shape and shift the future and partners with teams across Liberty Mutual to develop new innovative products to protect our customers in a rapidly changing world. (www.solarialabs.com)
The Role
As a Data Scientist in Solaria Labs, you will be part of a team working on  challenging problems by developing innovative solutions by using state-of-the-art machine learning techniques related to computer vision, natural language processing (NLP), and Human-in-the-loop algorithms, among others.
Responsibilities Include
Translate product ideas into well-posed data science challenges, and solve them
Design and deploy Machine Learning (ML) systems backing our products, including computer vision, NLP, and others
Translate and champion our ML capabilities for non-technical audiences
Participate in the broader ML community to stay current with the latest techniques and software

Job Specifications:
Reference:  2022-48436
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$113,400.00-–-$161,600.00-/-Year
Education Level:
 Travel: As Needed


Assistant Director Advanced Analytics

Advance your Analytics career at Liberty Mutual Insurance- A Fortune 100 Company!
The Operational Analytics department within GRM U.S. Insights & Solutions is actively searching for a highly motivated Asst Dir, (STP), Advanced Analytics to join the team with an initial focus on Operations Support Analytics. In the near term, this position will be the analytical lead for operational teams that provide support throughout the GRM US value chain. This role will also serve as a point of contact to help manage and coordinate all the analytical work with multiple stakeholders in the Operations function. This person will be required to frame and answer operational and strategic questions from senior management and executive leadership. The ideal candidate possesses advanced analytical abilities and will be able to work collaboratively & independently.
Responsibilities
Develops analyses based on complex data for a particular business unit/function.
Quantifies the competitive performance of the business, evaluates potential operational changes, and designs new approaches and methodologies to solve business problems or improve analytical efficiency.
Produces meaningful observations and recommendations through synthesizing data from internal and external sources. Utilizes advanced statistical techniques. May regularly utilize, update and adapt predictive modeling tools and/or focus on the application of the tools.
Leads own work stream and may manage multiple research projects of moderate to high complexity.
Conducts modeling/analytical work which directly impacts profitability, growth, and/or customer satisfaction outcomes.
Presents findings / recommendations and leads discussions with senior leadership (VP/SVP) at the department or functional level.
Serves as a resource to less experienced analysts
Job Specifications:
Reference:  2022-49103
Category: Analytics
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$113,400.00-–-$145,000.00-/-Year
Education Level:
 Travel: As Needed


Data Scientist Enterprise Marketing

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The Marketing Analytics team has spent many years blazing new trails to help Atlassian's most important growth decisions. We connect the dots from data and analytics to how our go-to-market teams impact our growth trajectory. We are dedicated to an agile methodology that enables decisions, while still ensuring quality work. We also know the importance of validating assumptions in our data, and we use different types of testing to prove those assumptions. For us, it is all about allowing Atlassian to grow by delivering data in the right way, at the right time, to partners across the company
We're looking for an analyst with outstanding technical skills to provide insights on our enterprise-focused go to market efforts across marketing and sales.
What you'll do
Create analytical insights from our customer and marketing data to bring more engaging go-to-market strategy. Example topics include segmentation, lead prioritization, customer lifecycle strategy, and more.Lead work with teams like Sales Operations, Marketing and IT to design metrics and manage performance of a unique go to market model that blends B2B sales best practices with B2C and self-serve.Join a team of analysts and play an active role in team collaboration and culture.Partner with go to market leadership across marketing and sales to bring data to the forefront of our decisions.Create raw data and analysis into well-written content
Your background
3+ years of experience in analytics, data science, or other quantitative fieldsAdvanced proficiency in SQLExperience in B2B marketing or sales analytics and experience working with a field sales teamExperience collaborating with senior management and translating insights into actionsProficiency in at least one analytics and visualization tool such as Tableau, Looker, Mode, Plotly, etc.


Senior Marketing Data Scientist Monetization

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is hiring an experienced data scientist for the Small/Medium Business Monetization Data Science team. This team sits within the Enterprise Go-To-Market team and is a group that creates monetization programs and strategies to help Atlassian products unleash the potential of every small/medium business team. Our team focuses on the important moments of a small/medium business's discovery of and journey with Atlassian products. We uncover and guide data-informed strategies across Atlassian's CLM organization.
What you'll do
Become the subject matter expert in Atlassian's small business monetization strategy across our portfolio of products.Work with Marketing Leadership and partners to help guide marketing strategy.Apply causal inference and econometric methods to measure marketing campaign strategies and programs.Coordinate different facts and findings into powerful narratives that have the broadest possible application within Atlassian.Collaborate with numerous analytics and data science teams in addition to partnering with marketing, sales and product managers.Build measurement methodologies and capabilities that have broad application across Atlassian.Promote evidence-based decision-making by partnering with important decision makers and senior leadership.Identify and improve the execution of the full Analytics & Data Science team through standardization of process, authoring new practices, mentorship and cultivation of new expertise.Join a growing team of analysts and play an active role in team collaboration and culture.
Your background
5+ years of analytics experience either in technology, engineering, consulting or other relative work experience.Experience within product, marketing, growth, or sales analytics and data science teams.You can write SQL with a preference for well-architected data models, optimized query performance.You are proficient in at least one programming language (e.g. Python, R) and a visualization and business intelligence platform (e.g. Tableau, Looker, Mode).Build incrementally to help support a moving organization.You use data to help go-to-market teams influence company-level outcomes.


Community Marketing Data Scientist

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Does the challenge of scaling a fast-growing company by powering it with data and reporting excite you? Using your business instincts and technical creativity, you will build tools to automate reporting and produce insights to allow marketing leaders quickly see how our programs are performing. We're growing quickly, so you'll need to develop the processes for delivering data to colleagues across the marketing organization. You'll be a phenomenal fit for this role if you enjoy finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong.
Your future team
You will sit on our Marketing Analytics team and partner with our Community & Customer Advocacy Marketing team. The Atlassian Community is a growing group of Atlassian power users who participate in our online forum, attend events and promote our products.
What you'll do
Define and report on funnel metrics to monitor the health and growth of the Community.Use data to understand the role the Community plays in customer experience and the value it has to the Atlassian business.Build measurement frameworks that identify and move customers from engaged users to potential champions to brand advocates.Collaborate with our Community web analytics and Machine Learning teams to experiment and personalize the web experience.
Your background
3+ years of experience in data and analytics fieldsAdvanced proficiency in SQLProficiency with data visualization best practices and tools such as TableauKnowledge of marketing measurement techniques (attribution, A/B testing, web analytics) and experience with customer engagement metrics (MAU, retention, CSAT)Ability to bring multiple data sources together to define metrics and create compelling/accurate stories about business performanceExperience collaborating with stakeholders, translating data-driven insights into decisions and actions


Senior Data Scientist Analytics Messaging Experience

What you'll be doing
Partner with engineering, product and operations teams through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean, crisp and performant dashboards that provide the company with timely and actionable information
Dive deep into our data to understand our users, their patterns of guild/server usage, and the ways they use our platform to communicate with friends
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes (internal/external)
Drive strategic thinking in various areas, including a strong focus in understanding the gaming ecosystem and the various ways we can drive value for gamers of all types!
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on areas to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation, along with data assets that drive an understanding and measurement of the metric trees in our areas of coverage
You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!)
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years experience writing excellent SQL
4+ years of experience building performant dashboards using Tableau, Looker, or a similar software - with proficiency in designing clean crisp visualizations
2+ years acting as a strategic thought leader with partner teams, helping define success metrics, set targets, and design proactive analyses that help the team achieve its goals.
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
A desire to work in a fast-paced environment with many unsolved problems!
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience with audio/video related data
Experience optimizing internal processes
Interest in the gaming industry
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with statistical analysis using R, Python, or advanced SQL.
Passion for Discord
New York City residents only: Minimum salary of $175,000 year + equity and benefits*Note: Disclosure as required by NYC Pay Transparency LawColorado residents only: Minimum salary of $14000 year + equity and benefits*Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Senior Data Scientist Drug Utilization Forecasting

POSITION SUMMARY:

• Identify opportunities to modernize an actuarial framework with data science model-based solutions.

• Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.

• Develop complex algorithms and statistical predictive models.

• Extract qualitative and quantitative relationships (i.e., patterns, trends) from large amounts of data using statistical and data mining tools.

• Work alongside the data engineering team to assess data quality, clean and organize data, optimize data flow and organization of code, production, and scale models.

• Apply analytical rigor and statistical methods to analyze large amounts of data using advanced statistical techniques.

• Develop an advanced understanding of the current forecasting system, stakeholders, and work products, and identify opportunities for enhancements and support of new initiatives.

• Create a new system to measure the forecast accuracy of current systems.

REQUIRED QUALIFICATIONS:

3 or more years of relevant analytic experience
3 or more years of experience programming using R, Python, SQL
3 or more years of experience with dimension reduction, machine learning, and statistical algorithms

PREFERRED QUALIFICATIONS:

Advanced knowledge level for SQL.
3+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems using python libraries such as sci-kit-learn, ml-lib, xgboost, Keras, etc.
3+ years of experience with general linear models, including regression techniques, ensemble models, etc.
3+ years of experience coding in Python, including PySpark, and Pandas.
Experience with time series forecasting and causal modeling techniques.
Knowledge of full model development life cycle including EDA, feature engineering, data visualization, model development and deployment, forecast accuracy, model monitoring, and model drift.
Experience with the pharmaceutical or other healthcare domains with large administrative claims datasets including their associated code sets, terminologies, and ontologies.


Senior Data Scientist Care Management

Responsible for Optimizing Care Management Experience.
• Use strong programming skills to explore, examine and interpret large volumes of data in various forms.

• Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.

• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.

• Collaborates with business partners to understand their problems and goals, and develop predictive modeling, statistical analysis, data reports, and performance metrics.

• Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.

• Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.

• Use strong knowledge of algorithms and predictive models to investigate problems, detect patterns and recommend solutions.

REQUIRED QUALIFICATIONS:

3+ years of relevant analytic experience.
Experience programming using R or Python.
Experience in SQL.

PREFERRED QUALIFICATIONS:

Demonstrates strong ability to communicate technical concepts and implications to business partners.
Understands the healthcare industry, specifically Care Management or health programs.
Anticipates and prevents problems and roadblocks before they occur.
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
Demonstrates proficiency in most areas of mathematical analysis methods, machine learning,
statistical analyses, predictive modeling, and in-depth specialization in some areas.


Senior Data Scientist

Looking to spread your wings?Join our Google-owned, Austin-based game studio and help us make absurd and highly polished VR for Everyone!We offer an outstanding fully remote working environment focused on collaboration and personal growth, with a positive work/life balance and excellent benefits.Owls in this role role will design, implement, and maintain data analytical tools to facilitate the continued development and improvement of Owlchemy Labs’ games.Responsibilities: Drive the product analytics function by analyzing large, complex application driven data sets to address strategic and operational business questions Develop frameworks, models, tools, and processes to ensure accurate data collection and analysis  Provide actionable recommendations and conclusions from game data to shape features, live service and future product roadmaps Apply industry standard data science techniques in the evaluation of project objectives or contributes to the implementation of strategic direction Generally conduct quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification (reports) Assist with analysis of sales data to drive marketing campaigns Develop and communicate reports and deliverables with stakeholders Communicate constructively and clearly with all disciplines Collaborate with owls like QA, Art, Audio, Engineering, Design, and Writing to meet task goals and determine reporting requirements Required Skills/Abilities:  Clear and proactive communicator In-depth spreadsheet skill & knowledge Technical familiarity with Unity Strong organizational skills Collaborative and creative-thinking, team-player mentality with the ability to give and receive constructive feedback Required Education and Experience: High School Diploma or equivalent 5+ years of related experience Strong background in Statistics SQL proficiency in one or many (Postgres, Oracle, SQL Server, Teradata) Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java Clear understanding of game development Ability to own, schedule, and manage small projects Preferred Education and Experience: Master’s degree in a highly quantitative field (Computer Science, Mathematics, Statistics, Operational Research, Machine Learning, etc.) Experience in analytical and visualization platforms (Tableau, Qlik, Power BI, etc.) Experience with Cloud Environments (Google Cloud, AWS, Azure) Excellent communicator across a variety of disciplines and levels Appreciation of puns (or at least the ability to groan at them)Physical Requirements: Owls must be able to use virtual reality headsets but are not expected to own one.Position Type/Expected Hours of Work: This is a full-time, work from home, 40-hours per week position. Core hours of work are Monday through Friday, 10:00 a.m. to 5:00 p.m. CT.  Travel:For Owls working outside of the Austin, TX area, travel to Austin may be required 4 to 6 times per year. Additionally, we typically encourage owls to attend a conference annually for personal growth and development. For Everyone:We care about creating “VR for Everyone” - and that includes creating a welcoming workplace for everyone.  Owlchemy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.  Other Skills and Responsibilities:This job description doesn’t cover or contain a comprehensive listing of everything you might do at Owlchemy. As a small team of wildly talented individuals, we encourage career growth, exploration, and the wearing of many hats. As such, roles and responsibilities are collaborative and may change or evolve over time based on our needs and your particular skill set.  20 days of vacation to start Unlimited sick days School loan repayment assistance New parent benefits Health Care Retirement Plan Relocation Assistance (should you want to move to Austin, TX!)


Senior Data Scientist

Senior Data Scientist - Measurement & InsightLiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
About this role
As a Senior Data Scientist - Measurement & Insight, you will be responsible for supporting the design, development and delivery of measurement solutions that enable customers to derive actionable insights from LiveRamp’s suite of products.  This role is dynamic and diverse, requiring you to be innovative yet logical in applying statistical methods and analytical solutions.  You will support LiveRamp customers and senior members of the team by generating campaign analysis, building attribution models, and creating custom reports and queries that utilize large volumes of data from a variety of sources including digital media, television and first-party CRM.  You will leverage your technical and analytical skills to deliver thoughtful insights that inform client business decisions.
To be successful as a Services Consultant on the Measurement and Insights Team, you should be comfortable using technical tools, eager to dive into technical and analytical detail, familiar with statistical concepts, and creative in developing measurement solutions.
You will:

Become an expert in LiveRamp products and be able to anticipate customer needs and suggest appropriate solutions
Collaborate with clients and the rest of the Global Services team to understand client business goals, define an approach, and deliver results
Work closely with our largest clients across multiple products to deliver custom analyses and white glove service
Apply an analytical approach to problem solving, troubleshooting, and understanding client needs
Drive customer discovery sessions to gain a deep understanding of client requirements and leverage platform to deliver results
Prepare compelling analytical presentations and effectively communicate statistical and technical concepts to non-technical audiences
Identify measurement challenges and develop practical recommendations to solve business problems
Provide mentorship and guidance to other team members where necessary

About you:

Have a Bachelor’s degree in Business, Marketing, Math, Statistics, Economics, Computer Science or other quantitative discipline
4-7 years of relevant experience in an analytical role within advertising, advertising technology, or marketing technology industry
5 years of marketing analytics experience with designing experiments, measuring campaigns and identifying opportunities for optimization and improvement or comparable experience using data and analytics
Critical thinking – capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives
Strong quantitative and research skills with proven ability to demonstrate data interpretation capabilities in terms of reporting and dashboards
Attention to detail and time management delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Ability to articulate strategic marketing implications of campaign performance results for business audiences with clarity and persuasiveness
Hands-on fluency in performing data and statistical analysis using SQL, Python, BigQuery, R, Tableau, and/or others with minimal supervision
Proficient in integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or campaign performance questions
Practical experience with statistical modeling, marketing test design, and audience segmentation
Comfortable with and has experience working in ambiguous environments while working in a consultative manner with customers
Exceptional EQ
Action-oriented and independent with hands-on experience delivering business results
Willingness and desire to learn and adopt new skills - both technical and non-technical - in order to craft and deliver the best solutions

Benefits:

People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: Medical, dental, vision, life, and disability. Plus, mental health support (via Talkspace), flexible time off, parental leave, family forming benefits, and a flexible lifestyle and wellbeing reimbursement program (up to $375 per quarter, U.S. LiveRampers)
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.  Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)

RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located.

Location: work in the heart of New York

More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.

California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.

To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.


Data Scientist

LiveRamp is the leading data connectivity platform. We are committed to connecting the world’s data safely and effectively, advancing innovation, and empowering people to do good. Our platform powers customer experiences centered around the needs and concerns of real people, keeping the Internet open for all. We enable individuals around the world to connect with the brands and products they love. LiveRampers thrive on solving challenging problems for the good of humanity—and we’re always looking for smart, kind, and creative people to help us get there.Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
LiveRamp is currently ramping up its Safe Haven business in the U.S. and is in need of skilled data scientists who can tell our customers a story with their data. You’ll work directly with our largest and most complex clients’ datasets and data teams to help them derive value from the newly unlocked potential that Safe Haven provides them. In this capacity you will work with vast amounts of data ranging from retail transaction data to online exposure data and you’ll help our customers see the trends and paint a picture of what it all means.
You will:● Work efficiently with client data and analytics partners to define, configure, extract, aggregate, analyze, package, synthesize, and share data, results, and actionable insight to support client campaigns, products, or business decisions● Act as an advertising and retail measurement data subject matter expert (SME)● Build up a strong understanding and expert knowledge of the various data sources and methodologies brought together for LiveRamp data sharing solutions – retail transaction data, 1st-party CRM data, ad exposure and response data, and 3rd-party data provider attributes (demographics, psychographics, lifestyle segments)● Collaborate with client and capability teams on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs● Identify data gaps and advocate for additional data sources to meet unmetmarketplace need(s)
●Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions● Be an analytical approach artisan
● Outline pragmatic solutions to answering insight needs with an eye toward balancing quantitative rigor, data incompleteness, and timelines conducive to rudimentary vs. sophisticated methods● Provide input to Product and Engineering teams on cross-format planning &measurement analysis requirements and possible solution paths
● Prepare and present compelling analytical presentations and effectively communicate(both in writing and verbally) complex concepts to marketing and business audiences● Regularly work with the internal data science teams in engineering to provide input to thedata science product roadmap and bring the knowledge of upcoming advances in ouridentity and products into data science● Be part of the community of customer-facing data science consultants locatedinternationally to share knowledge and ensure consistency across LiveRamp in our datascience related services● Provide mentorship and guidance to other data analysts/scientists where necessary
Your team will:Help customers make sense of datasets from across the ecosystem and find meaningful valuein sharing data with Safe Haven.
About you:● Bachelor’s degree in Math, Statistics, Economics, Computer Science, Predictive Analytics or other quantitative discipline (Master’s Preferred)● 4+ years of work experience in a data science role ideally in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting● 4+ years of hands-on experience in data extraction and manipulation using tools such as SQL, Hive/ Impala/ Redshift/ BigQuery with minimal supervision● 4+ years hands-on experience working with data visualization tools such as Tableau, Looker and/or others with minimal supervision● 2+ years of hands-on experience with scripting languages such as Python, PySpark, Spark, and/ or R for statistical modeling● Solid understanding of current data science best practices and technology stacks● Experience generating consistently accurate, statistically sound analysis and interpreting, translating and synthesizing data into actionable insights in the form of reports, dashboards and client ready presentations● Hands on experience with propensity modeling, lookalike modeling and segmentation● Understanding of omni-channel campaign measurement methodologies● Experience integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions● 2+ years of experience interfacing directly with clients and being able to present complex analytical material in an easy-to-understand manner● Experience with cloud computing services such as GCP
● Attention to detail and time management - delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Bonus Points:● Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)● Proficient with the application of analytic methods in digital and mobile channels● Proficient with direct and/or interactive marketing test design● Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques● Understanding of LiveRamp’s role in the market and the broader AdTech/MarTech space● Data privacy/security and related governance processes (Privacy Impact Assessment,CCPA, GDPR, etc)
Benefits:

People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Whole Health Package: Medical, dental, vision, life, disability, long term care, accident and critical illness insurance, pre-tax accounts (health, dependent and commuter), and a family forming benefit through Carrot. Plus Milk Stork, backup child and elder care, and discount on pet insurance, mental health support (via Talkspace)
FlexPerks reimbursement program to provide flexibility and choice ($375/quarter) for fitness, emotional, financial, family, travel and entertainment, convenience and security expenses. (U.S. LiveRampers)
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.  Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)

RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located

Location: work in the heart of Littlerock, AR or Remote

More about us:
LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.

California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.

To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
#LI-Remote


Marketing Analytics Data Science Senior Manager

About The Role
As a Marketing Analytics & Data Science Senior Manager focused on acquisitions, channel strategy, life cycle marketing and marketing spend optimization, you’ll be responsible for coming up with data driven strategy and recommendations to drive growth across multiple products (Credit Builder, Cards, Marketplace, Rents and Bills, etc.)
This role will report to the Director of Marketing Analytics.
Detailed Responsibilities:

Drive higher acquisitions by continuously providing data driven insights
Manage and mentor a high performing team of analysts to deliver high quality projects in a timely manner
Collaborate with cross-functional leaders and teams to manage projects and drive growth
Help the team to create impactful and intentional analyses and reports.
Assess competitive landscape and leverage insights to drive A/B experiments.
Define how to measure success across various teams by creating metrics and KPI’s in partnership with the Marketing team
Define channel strategy and leverage marketing mix models to attribute customers to channels accurately and optimize spend across channels, driving down CPA while increasing originations
Help improve outcomes for Builders (customers) through segmentation, engagement analysis and experimentation

Ideal Candidate:

You are an experienced Analytics leader who excels at leading and growing a team of analysts. You excel at enabling your team to uncover insights to explain business performance, hit targets and timelines, and identify areas of opportunity to grow the business.
You have a successful track record of developing people and consider yourself a player coach
You have at least 5 - 7 years of Marketing Analytics and Data Science experience
You have at least 2 years of people management experience
You have experience with techniques such as A/B testing, and quasi-experimentation such as difference in differences, time series analysis, etc.
You are high skilled at SQL and have good knowledge of various statistical modeling techniques
You finish the work you start, and are comfortable communicating your insights to stakeholders at every stage of the business
Bachelor’s degree in Statistics, Finance, Economics or related analytical field and/or extensive industry experience (Master’s Preferred)
You have: Exceptional communication and presentation skills; Ability to work both independently and on a team; Strong problem solving and strategic thinking skills

You are: Results oriented, Self-motivated, Humble and proactive about asking questions