Lead Data Scientist Healthcare Product Innovation Mlops

Job DescriptionAbout Our TeamCombining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health.Within the data science department (“Analytics & Behavior Change”), you will have the opportunity to work on new data-driven population health approaches that will help millions of individuals across the country to stay healthy and become healthier. As part of our payor-agnostic product team within “Analytics & Behavior Change”, you will drive the development of innovative patient outreach campaigns for B2B sale from product conception through product launch and management.About the JobThis is a hands-on lead role responsible for driving the development of a new data-driven population health product in the Medicare health tech space. You will collaborate with our business partners on scoping the product vision and lead a team of 5+ data scientists and data engineers to build, deploy, optimize, and grow the new product. At its core, the product will combine a diagnostic tool to identify potential gaps in medical care with orchestrated multi-channel patient outreach to promote targeted health interventions.Key responsibilities are focused around the technical development and management of the product:• Lead collaboration with business and technical stakeholders to design the product.• Use strong knowledge in algorithms and predictive models to build and optimize diagnostic tool and patient outreach orchestration.• Collaborate with large teams on data pipeline and model development, deployment, and monitoring.• Communicate technical content in presentations to business partners and/or leadership teams.• Lead and mentor team of 5+ data scientists and data engineers and drive MLE excellence across the team.
Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.  The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 5+ years of experience in Python and SQL• 3+ years of experience developing and implementing data-driven products for business consumption in a technical role• 2+ years of experience building data pipelines
Preferred Qualifications• Colleagues in similar roles often have an MS in Computer Science, other engineering discipline, another engineering discipline, or another computer-oriented field (physics, applied math, chemistry, etc.)• Hands-on experience in Python and SQL writing application/software-grade code• Hands-on experience with cloud platforms and deploying models• Experience leading a technical team in an agile environment• Experience with health data• Passion for developing solutions that improve health outcomes
EducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.  Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Data Scientist Care Management Analytics

Job DescriptionDo you want to use your analytical abilities to make an impact on the healthcare of others? Join CVS Health as a Care Management Analytics Data Scientist, where you will implement analytic reporting & technology as it relates to contractual analytic reporting needs, program value evaluation, issue resolution, capabilities and stabilization. Here, you will be a part of a growing, high impact team that support various care management analytic activities as an individual contributor.Additionally, you will:– Run reconciliation report and build stories for outcomes and delivery team. Develop outcome reporting, analytics and interactive Tableau dashboards. Evaluate program performance, identify opportunities, and uncover areas for program improvement. Use the information learned to provide recommendations and solutions to business partners.– Perform analyses of structured and unstructured data to inform advanced statistical and mathematical analyses– Use data visualization tools and techniques to effectively and efficiently communicate analytic findings to support business decisions and client reporting needs– Explore, understand, and interpret sophisticated data environments, applying tools such as machine learning and natural language processing to analyze petabytes of data– Recommend solutions to drive successful outcomes and build a data driven story of value, engage with stakeholders to obtain a true understanding of requirements to support both business decision making and client requests– Utilize new technologies such as Teradata, R Markdown, Hadoop, Tableau, Snowflake, BigQuery, Google Cloud, and Alation to support reporting needsTo be successful in this role you will bring with you a demonstrated history of success utilizing oral and verbal communication skills to present information and build partnerships. You should also have a high level of attention to detail. Your problem-solving skills will be tested as you further your understanding of data reconciliation, reporting, and analysis.Must be able to travel up to 10%. Travel may require but is not limited to flights, overnight stays, local travel, travel on short notice and other travel deemed necessary by the Company.
Pay RangeThe typical pay range for this role is:Minimum: 70,000Maximum: 140,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.  The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications– 2-3 years data science experience required  – 1-2 years Tableau experience– 2-3 plus years SQL & R experience or other relative programming experience– 2-3 plus years Healthcare data analytics experience
Preferred Qualifications– 4 plus years SQL experience or other relative programming experience in the context of applications such as Tableau, Teradata, Hadoop, Snowflake, BigQuery, Google Cloud, and Alation.– 4 plus years experience coding in R and R Markdown.– 4 plus years experience working in a professional environment with clients/partners including Reconciliation, Program Value Evaluation, and Root Cause Analysis.– 2 plus years utilizing machine learning and natural language processing tools– Masters Degree with concentration in Information Science, Mathematics, Computer Science, Statistics, Analytics, Epidemiology or other programming and data related fields of study preferred.– Knowledge of epidemiology study design, healthcare claims data– Experience in designing measurements around clinical outcome (e.g. drug adherence, utilization of medical procedures), behavioral health outcome, social determinant of health
EducationBachelor’s degree or equivalent experience
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.  Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Sr Model Risk Analyst

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONGreen Dot is seeking an experienced Senior Analyst join our Model Risk Management function. Specifically, under the general direction of the Model Risk Management leadership, the candidate will ensure that required Model Risk Management (“MRM”) activities are executed in a timely manner including model inventory maintenance, model validations and ongoing monitoring of model performances. Previous experience in validating models in pursuant to FRB SR 11-7 is a plus.Job Responsibilities
Perform independent validation of various types of models, including but not limited to statistical, machine learning, financial, and AML models used by the company
Collaborate with company-wide business units and stakeholders to execute the governance framework, policies and procedures, and perform risk and control assessments.
Liaison with model owners, developers and users to monitor usage and performance of the models and syndicate the findings of model validation
Participate in model risk management committees, inventory assessments, and other functions in support of the business objectives and regulatory requirements
Initiates the preparation and presentation of risk reporting and validation reports for varying audiences including department heads, senior management, executive management
Job Requirements
Bachelor's degree with 7+ years of experience in financial engineering, economics, mathematics, statistics, engineering or related fields or Master’s degree with 5+ years of experience in financial engineering, economics, mathematics, statistics, engineering or related fields.
Proficiency in statistical software/programming language like Python, SQL, R, etc.

Proven knowledge of model lifecycle, risk management methodologies and familiar with model validation function
Strong background in model development and statistical analysis, preferably with AI/ML modeling experience
Familiar with different modeling concepts and methodologies, such as logistic regression, various supervised and unsupervised machine learning algorithms
Ability to interact with all levels of organization as well as internal and external customers and to communicate technical information to different audiences
Proactive work style used to consistently communicate project status, issues and completion plans.
Strong analytical and computer skills including experience with quantitative analysis technical tools and techniques
POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.


Data Scientist Sr Data Scientist

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive the growth of Green Dot’s Direct Business - including strategic product: GO2bank -‘The ultimate mobile banking app’.  The data science team is working on several projects related to lead scoring, funnel optimization, experimentation, customer retention, product analytics and fraud/risk ops areas.  We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions.  The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well.  The candidate will be reporting to Sr. Director of Data Science.Job Responsibilities
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for services and product enhancement.
Own and deliver predictive modeling/analytics projects of moderate scope or manage significant tasks on complex data science projects
Perform large-scale data analysis to inform business decisions around web behavior, funnel optimization, transactions, balances, customer behavior, risk and overall operational trends
Define, write queries, extract and transform data sets to create features for modeling and/or generate actionable insights
Collaborate with Data engineering and Model Risk Management to build and deploy models/analytical solutions into production
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed
Perform other duties as need
Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters or PHD in similar field is a plus
2-7 years of experience in data science or advanced analytics based on education/experience
Advanced understanding of data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Proficiency writing SQL (i.e. Amazon Redshift, MS-SQL Server) and working with large data sets
Experience using Python (required), other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory)
Experience developing dashboards using business intelligence or reporting tools such as Tableau or Microstrategy
Proactive work style, progressive thinking skills, strong work ethic, communication and problem-solving skills
POSITION TYPEGreen Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.


Director Credit Risk Analytics

About Us
Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than a million people gain access to affordable credit with over $23 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, credit, home equity lines of credit (HELOC), and our newest product, HELoan. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.

We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!

Our Values
Diversity expands opportunities
Collaboration creates better solutions
Curiosity fuels our innovation
Integrity defines all our relationships
Excellence leads to longevity
Simplicity guides our user experience
Accountability at all levels drives results

COVID-19 Vaccination Policy
Prosper is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. Our philosophy as a business is to approach the COVID-19 situation with empathy and urgency. Prosper’s top priority is the health and safety of our employees and of the communities we serve, including our customers, partners, prospects, and candidates. In accordance with this priority, along with our legal responsibility to provide and maintain a workplace that is safe and free of known hazards, we have adopted a COVID-19 Vaccination Policy which requires all of our employees to receive vaccinations, unless they have an approved accommodation.

www.prosper.com
Our Story & Team  //   Our Blog

The Role
As the first peer to peer lending marketplace in the United States, Prosper has a history of innovation.  As a growing company that generates cash (rare in the valley), Prosper also has a history of generating results.

The Director, Credit Risk Analytics is responsible for underwriting credit strategies and oversight of credit quality and performance of the Personal Loan portfolios. The incumbent is responsible for the life cycle of credit management including compliance with requirements of regulators and internal control and will recommend opportunities and propose resolutions for improved efficiency, effectiveness, and/or risk reduction for the portfolio. The incumbent is required to review, analyze, and enhance the risk strategies through the use of Machine Learning models and credit data to manage the acquisition growth while delivering expected returns to the investors.  S/he will work with cross-functional teams in Product, Engineering, Legal/Compliance and Marketing to deliver the credit strategies as per design.

The ideal candidate is expected to bring broad and in-depth consumer lending expertise to the team, be comfortable to be hands-on to guide team to develop strategies for automated credit decisions, own the end-to-end process to ensure the credit strategies are performing as expected to support business growth while managing credit losses effectively. S/he should be a passionate business and people leader who has the business acumen and domain expertise to guide team to tackle challenges in novel and effective ways.  Making better, faster and more agile risk strategies keeps our marketplace competitive and ensures that we continue to deliver on our mission of advancing financial well-being

Problems You Will Solve

Develop credit strategies to improve the credit performance by using data, statistical models and advanced analytics tools
Turn findings/gaps into strategy enhancement to present recommendations to the Risk Management and broader Prosper community with the considerations of business impact and cost needed
Maintain credit losses within the risk appetite
Bring innovative/out of the box thinking to make recommendations and approaching/solving problems
Design A/B tests and understand the risk-return trade-offs
Identify and evaluate new vendors / data sources and create business cases
Partner with Product, Marketing and Engineering teams to implement strategies and monitor the strategy performance
Conduct ad-hoc analysis related to risk management, investor services, product, and operations
Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers.
Work with legal and compliance team to ensure strategies and policies comply with all the regulatory requirements
Have experience with credit loss forecast and stress testing exercise

About You

Master’s degree in Business, Statistics, Mathematics, Engineering or Economics.
10+ years of experience managing credit risk in consumer lending industry
5+ years of people leadership experience
Strong business acumen and extensive knowledge about credit management
Outstanding thought leadership and skills to translate business problem into analytical problems; ability to build and enhance framework
Exceptional communication skills in both written and oral – ability to communicate technical subject matter clearly and succinctly to other team members and Senior Management team
A team player – collaborate with people across functions
Business owner mentality
Ability to work in fast-paced environment and meet deadlines without sacrificing quality
Ability to work productively in a remote/in-person hybrid working environment

Compensation

The salary for this position is $209 -$258k annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors.

#LI-SK1
#LI-remote

Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)

California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA: https://www.prosper.com/plp/legal/privacy-notice-for-applicants/

At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.

Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.


Research Scientist

Education Analytics (EA) is a non-profit organization that uses rigorous data analysis to inform education research, management, and policy decisions. Our staff is a group of highly motivated, energetic, passionate researchers and analysts who work with school districts, states, and foundation partners across the U.S. to identify innovative ways to improve education systems.
We are seeking a researcher with either a Ph.D. in economics, or a Ph.D. in statistics or a related field, with skills in econometrics, applied statistics, or related quantitative methods. The Research Scientist at EA collaborates with external project partners, other researchers, data strategists, analysts, and policymakers. The position will report to the Research Manager and Chief Research Officer and will play a substantial role in directing various programs of research. The role requires a mix of analytic, statistical, communication, and project management skills to meet the challenges of leading applied, rigorous statistical analyses and making substantive contributions to the fields of educational data analysis, measurement, and policy.
If you are looking to apply cutting-edge approaches to address critical problems impacting the lives of students across the country, we encourage you to apply. We are looking for passionate researchers who view every challenge not as a roadblock, but as an opportunity to do something innovative and exciting to transform the U.S. education system.
This position is preferred to work at our physical location in Madison, Wisconsin, although we will consider remote work as a possibility.
Specific Research Scientist responsibilities include:
Developing statistical models for education policy applications that may include, but are not limited to, using the following approaches: econometrics, linear regression, multilevel/hierarchical linear modeling, Bayesian methods, propensity score matching, or data science (e.g., machine learning)Writing researcher-oriented documents, including conference papers and presentations, academic journal articles, working papers, and technical documentationCollaborating with and supervising analysts and programmers to implement statistical models for external partners and for internal researchCommunicating and collaborating with state and local education agencies and other EA partnersCo-creating written documentation with EA data strategists and analysts, such as technical memos, policy briefs, partner reports, practitioner guidebooks, and grant proposals, for a variety of technical and non-technical audiences
Skills and Experience
Either a Ph.D. in Economics or related field; or a quantitative Ph.D. in Statistics, Public Policy, Sociology, Educational Psychology, Data Science, or a related statistically-focused field is requiredFamiliarity with the R programming language is preferredDeep knowledge of statistical and analytic approaches for evaluating educational policies and programsExcellent problem-solving and systems-thinking skillsStrong written and verbal communication skillsCustomer-service and entrepreneurial orientation to working with partners that ensures that EA exceeds expectationsDesire to work in a team environment at a fast-growing, fast-paced nonprofitDemonstrated interest in improving and supporting U.S. K-12 public education through data analysis
Benefits
Competitive salaryInstitutional support for professional organization membership and conference attendanceAnnual merit bonusesPaid holidays and one month of paid vacation per yearGenerous 401k and health benefitsFree Madison Metro transit pass or subsidized office parking (if space is available)Casual office environmentLocation right in the heart of downtown Madison, Wisconsin
Education Analytics is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
We want to let candidates know that EA is a federal contractor with over 50 employees. As the situation has evolved with federal requirements, we now require vaccinations for all employees. Medical and Religious accommodations will be granted where they do not cause Education Analytics undue hardship or pose a direct threat to the health and safety of others. Keep this requirement in mind and please reach out if you have any questions or would like to request an accommodation.


Data Scientist Iii

Copyright © 2022 Edward Jones.Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. If you have a disability under the Americans with Disabilities Act or a similar law and you wish to discuss potential accommodations related to applying for employment at our firm, please contact us at 1-866-788-4979. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring.


Senior Data Scientist

Position:Senior Data ScientistJob Description:SUMMARY Responsible for building and maintaining real estate analytics, automated valuation models (AVMs) and associated analyses within Black Knight’s Data and Analytics Division. Creates, develops and programs mathematical models of real estate valuations, trends and risks. Uses classical statistical and machine learning methodologies with multiple public and proprietary data sources to develop AVMs for the residential real estate market.RESPONSIBILITIES
Responsible for building, analyzing, testing and calibrating AVMs,  including the use of non-traditional data.
Responsible for designing and executing model performance monitoring requirements for AVMs.
Designs test cases and test applications for AVM production systems to ensure business needs are met and all models and analytics are successfully implemented.
Works closely with the Product Management and Software Engineering teams on the product development of AVMs.
Provides support to the Sales team and consulting to clients using these products.
Performs ad hoc analyses as needed and assists product line managers with analytical projects.
Partners with business line managers to research industry best practices and trends and provide thought leadership in real estate analytics.
Performs other analytical tasks as assigned.
MINIMUM REQUIREMENTS
Bachelor’s degree in Mathematics, Finance or the equivalent combination of education, training, or work experience. Master’s degree is preferred for senior level roles.

Typically requires eight (8) or more years of related work experience in developing mathematical formulas, financial models and computer programs to create complex models of market
trends and risks. Master’s degree and/or related professional certifications are preferred for this role.

Extensive knowledge of statistics and data science, including machine learning, as well as the behavior of residential real estate market markets.
Proficiency in SQL, Python (or R), and C#.
Knowledge of real estate, mortgage and economic data.
Ability to translate business needs into technical solutions.
Strong analytical skills with the ability to apply these to practical applications.
Ability to solve complex technical problems, assimilate information rapidly and work under time constraints.
Team player with the willingness to collaborate with other technical and non-technical partners.
Client-focused approach with strong interpersonal skills.
Excellent oral, presentation and written communication skills.
Excellent problem-solving ability and organization skills.
Ability to successfully network with other departments where necessary.
PREFERRED QUALIFICATIONS
Experience in real estate and/or mortgage modeling and with major real estate analytics products.
Experience working with a big data platform, including business intelligence and reporting functionality.
Working experience in financial institutions and the mortgage or real estate industries.
EEO Statement:Black Knight is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, and protected veteran or military family status. Our employees’ diversity is our strength, and when we embrace our differences, it makes us better and brighter. Black Knight’s commitment to inclusion is at the core of who we are, and motivates us in how we do business each and every day. Location:RemoteTime Type:Full time


Data Scientist People Analytics

WHO WE ARE:
The People Analytics team, functioning as a division of HR Services and Operations, serves as the company’s leading analytical authority on our people, translating data into high-value, actionable insights for senior leadership, HR business partners, and people leaders within the organization in the pursuit to solve business problem
SUMMARY:
This position is responsible for providing thought leadership on execution of strategic analytics initiatives, people data modeling and experimentation to solve essential business and HR challenges with a focus on key issues such as predicting great hires, employees at risk of leaving, and supporting our company’s employee engagement and diversity and inclusion goals and objectives.  Additional responsibilities will encompass quantitative analytics, predictive modeling, research design, consulting, and soft skills applicable to people research.  This position will have direct involvement in operationalizing our people strategy with our analytics team to solve complex human and data questions and communicating solutions that provide insights and lead to data-driven recommendations.  The successful person in this role will be forward-thinking–a committed supporter for predictive analytics and enjoy constantly learning and growing skills within people analytics and data science.   This position will work directly with the People Analytics Leader, as well as data analysts, data engineers, and HR Business Partners.
KEY ACCOUNTABILITIES include the following.  To perform this job successfully, the Data Scientist, People Analytics may be expected to perform special projects and other duties as requested.
Seek to understand people-related business problems and help frame them into actual research questions that can be answered with data. Bring together our organization’s data, as well as external data and research, to help our business leaders understand and act on people issues. Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making at executive levels, within HR, and with people managers. Deliver strong customer service including translation of requests into requirements and communication of technical information to a non-technical audience. Use platforms, programming, and systems to establish single-source data to be leveraged across the business to support insights and improved decision-making. Lead data-driven and evidence-based research to support the delivery of people metrics, reporting, and advanced and predictive analytics. Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders. Leverage expertise and knowledge of HR industry and people analytics trends to address practical business challenges. Collaborate with and communicate broadly within the People Analytics team, HR, and the business in a cross-functional effort with key stakeholders to identify key initiatives and execute delivery of sustainable solutions to expand our data universe. Exercise traits of adaptability and good judgment to support organizational agility. Be a constant learner, active listener, and teacher to advance data science, people analytics, and our organization.  Exude passion for your field, people analytics, and our organization both internally and externally to establish us as thoughtful and effective use of data and people analytics.
SUPERVISORY RESPONSIBILITIES:
None required
CORE COMPETENCIES:
Advanced proficiency in MS Excel required Intermediate proficiency in Tableau required.  Tableau Prep experience preferred. Advanced experience with proficiency in advanced languages (Python, R) with a strong emphasis on data modeling in Python or R. Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data. Experience in advanced statistical methods around hypothesis testing, clustering, machine learning predictions, and text mining. Experience modeling high-dimensional data. Experience with tools and languages in the design and implementation of data pipelines that support the continuous delivery of insight. Understanding of the external people analytics landscape and trends. Ideally experience with people research, the human capital domain, user interface, consulting, and our industry. Experience in applying data privacy regulations and navigating how to effectively use data while protecting an individual’s privacy. Experience in thriving in project environments that often start with uncertain requirements or outcomes; ability to apply definition and structure around uncertain problems. Experience working in a fast-paced, dynamic and entrepreneurial environment and the versatility to manage multiple projects, priorities, and urgent issues successfully and simultaneously Experience in positively interacting with people of opposing thoughts and ideas within a team environment.
EDUCATION/CERTIFICATION:
Four (4) year degree or equivalent experience required in either Analytics, Mathematics, Operations or Computer Science, Statistics, or similar highly quantitative degree.
WORK EXPERIENCE:
3+ year’s directly applicable experience in data modeling and data tools and languages such as Python required.
ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more.


Staff Data Scientist

At Achieve, we’re changing millions of lives.
From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 2,700 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job-it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first.
Join Achieve, change the future
About the role:
The Staff Data Scientist will be heavily involved in executing data analysis and modeling tasks for Achieve Asset Management, the lending division of the Achieve.  The overarching mandate for the Staff Data Scientist is to execute on analytic delivery and to develop new analytic capabilities for its lending businesses. The team member will partner with business leaders in Achieve  and deliver frontline models and strategies for originations and account management decisions as well as deliver accurate and timely loss forecasts for pricing, financial planning and capital markets activity.  Additionally, he/she may collaborate with other team members to assess and develop new analytic opportunities.  This role is of high impact in the organization and will provide the candidate exposure and visibility into strategic initiatives for the company.
What you’ll do:
Drive better understanding of Achieve customers and prospects. Optimize customer experience and Achieve’s value proposition by leveraging supervised and unsupervised modeling solutions.Utilize your technical and analytical skills, while also gaining in-depth exposure to business strategy.Act as consultant to cross functional teams, advise how to best leverage predictive modeling and data in general Build loss forecasts and related requests for partner groups.  Improve upon current processChallenge conventional thinking and work with stakeholders to identify and improve current methodologies and processesConduct Fair Lending Analysis on managed modelsProduce actionable portfolio reportingOptimize customer experience and Achieve’s value proposition by leveraging supervised and unsupervised modeling solutionsBuild loss forecasts and related requests for partner groups.  Improve upon current processChallenge conventional thinking and work with stakeholders to identify and improve current methodologies and processesDevelop new techniques and data that reveal insights hidden in numeric and textual datato drive better understanding of Achieve customers and prospectsRun Fair Lending Analysis on managed modelsProduce actionable portfolio reporting
 What you’ll bring:
Master’s degree or PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Physics, Economics, etc.)3+ years of experience working in a risk management organization at a financial industry - a big plusHands-on experience with clustering, classification, sentiment analysis, survival analysis, time series, ensembles, and similar other methodologiesExpert knowledge in R/Python/SQL.  Familiarity with UNIX/LINUX environments shell scripting is a plusExperience working with relational databasesStrong organizational skills with an ability to manage multiple projects at any given timeStrong verbal and written communication skills.  In particular, be able to convert highly technical concepts and results into easily understood business value proposition
 Preferred Qualifications:
Experience with use of credit bureau data for modeling and analyticsTableau or other visualization tools experience is strongly preferred; knowledge of SAS is a plus
Achieve well-being with:
Hybrid and remote work opportunities401 (k) with employer matchMedical, dental, and vision with HSA and FSACompetitive vacation and sick time off, as well as dedicated volunteer daysAccess to wellness support through Employee Assistance Program, Virgin Pulse, Ginger Health Coaching, and fitness discountsUp to $5,250 paid back to you on eligible education expenses Pet insurance for your furry family membersFinancial support in times of hardship with our Achieve Care Fund A safe place to connect with other employees through our six employee resource groups
Salary Range: $160,000.00 to $210,000.00 annually + bonus + benefits. This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors.
Meet Achieve
Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and an empathetic touch. We put people first and treat them like humans, not account numbers.
Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve’s Talent Acquisition leader.
#LI-Hybrid
#L1-RC1
#Hybrid
Job Req:
20007


Data Scientist

Achieve (formerly the Freedom Financial Network) has openings for Data Scientists at its companies Freedom Debt Relief, Freedom Asset Management, Freedom Network Funding, and Lendage.
Location: San Mateo, CA and Tempe, AZ
Data Scientist is core position involved in executing data analysis and modeling tasks. The overarching mandate for the Data Scientist is to execute on analytic delivery and to develop new analytic capabilities for the organization
Job Duties:
Works on data model maintenance, development, & optimization, data file preparation, reporting & ad-hoc analyses. Perform predictive modeling & convert analytic findings into customer insights. Prepare & manipulate data using R & SQL. Works with internal stakeholders.
Statistical Predictive Modeling & Analysis
Define business problems, translating them to analytic questions, determining whether such data are available in our data warehouse, extracting them for analysis from company database, cleaning & preparing the data for modeling, applying different statistical models based on specific business problems. Build, maintain & optimize predictive statistical models (such as linear regression, logistic regression, Random Forest, XGBOOST, etc.) to estimate impact on profitability drivers based on response, risk, & customer demographic/ credit data, implement analytical technique, tools, scorecards, innovate advanced analytic techniques to analyze customer data & measure the marketing initiative performance. Through analysis & modeling, identify trends, patterns & relationships & make predictions & forecasting in the data that provide answers to questions posed by upper management. Analyze & monitor front-end & back-end A/B testing initiatives, measure true incremental impact of the business initiatives.
R & SQL programming
Perform R & SQL programming every day to work on a variety of quantitative analysis, statistical modeling & reporting. Write SQL queries to extract, & manipulate data in BigQuery, transform raw data to into a format suitable for analysis & archiving, apply advanced data mining & programing techniques to extract information from relational databases or big data repositories, design solutions to improve data processing performance of big datasets.
Results Reporting & Visualization
Summarize results & prepare reports of their findings once the data are analyzed. Create daily updated dashboards using data visualization techniques, such as charts, graphs, & pivot table either in Excel or Tableau to illustrate the results & make them understandable by decision makers within the company. Present the results to upper management, effectively communicate the reports updates, point out the limitations of the existing data so that decision makers will not misinterpret results.
Remote employment possible after probationary period & with management and accounting approval.
Job Req:
18583


Director I Data Science

Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques.  We work on some of the most exciting projects across all of Liberty.  If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
Detect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV)
Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practices
Explore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ data
Engage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI
Responsibilities:
Setting the scientific strategy for many of our initiatives
Working cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners.
Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Responsible for larger components of highly complex projects.
Guides aspects of project design as a technical expert for the team.
Regularly engages with the data science community and leads cross functional working groups.
Job Specifications:
Reference:  2022-53277
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$149,100.00-–-$210,200.00-/-Year
Education Level:
 Travel: As Needed


Staff Data Scientist Safety Insights

We are looking for a Staff Data Scientist to join our Safety Insights team, and lead strategic and product analytics for safety enforcement, signals and measurement.  You will partner with the Safety Core product and engineering team, as well as Safety Enforcement teams (data science, threat analysis and operations) and User Research.  You will 1) use data to inform strategic directions of automated detection and enforcement, safety signal development, and safety measurement; 2) operationalize and evolve Safety’s topline bad content exposure metric; and 3) provide guidance to the rest of the company on launch processes and guardrails related to safety.
The Safety Org is one of Reddit’s biggest divisions, and Safety Insights works across the entire org to provide qualitative (user research) and quantitative (data science) insights for product development, scaled abuse detection/mitigation, threat intelligence, and safety operations.  We unravel hard problems that cut across safety domains, and guide product development to protect our users from bad experiences.  In the Safety Insights team, we value asking who’s missing, surfacing the deeper questions, up-leveling our peers, and facilitating good conversations.  Our job is tough, but the impact is huge.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
What You Will Do:

Identify actionable and impactful insights through metrics and analyses, in order to improve our enforcement systems and outcomes
Partner with product, engineering, enforcement teams and user research to provide thought partnership, strategic influence and execution support
Partner with product teams outside of the Safety Org to improve product safety and user experience through rigorous experimentation practices and metrics
Be an end-to-end project owner from ideation to implementation and influence -- whatever that’s needed to create impact and carry out our mission

Who You Might Be:

6+ years of data science and product analytics industry experience
2+ years of experience in safety measurement plus one or more other aspects of safety, such as threat detection, prevalence reduction (in a problem team or a surface team), user experience, etc.
Proficiency with relational database (SQL), programming (Python or R), statistics, experimentation, and causal inference analyses
Motivated and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems

Benefits:

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

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base pay range for this position is: $198,200 - $272,550.
#LI-AR1


Data Scientist Analytics

About Calm
We have a simple mission at Calm: To make the world a happier and healthier place. The heart of Calm is digital but the brand is expanding offline into a variety of products and services that bring more peace, clarity and perspective into people’s busy lives. We are building Calm into the Nike of the Mind. We believe Calm can become one of the most valuable and meaningful brands in the world.
About the Data Science Team
We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straight forward and sometimes it is highly complex, but in all cases we rely on data to drive our solutions.
As a Data Scientist you will be focused on leveraging our data to help prioritize product development, identify optimization opportunities, and automate data flows and analyses for key decision makers. In this role, your initial analytics efforts will be focused on guiding the product roadmap, to foster strong subscriber and user growth.
 What You’ll Do

Collaborate with Product Managers, Designers and Engineers to design and measure A/B tests that help us understand the impact of new feature releases
Partner with product teams to perform deep-dive analysis to understand user engagement behavior
Collaborate with partners across technical and non-technical teams to bridge the gap between data and action
Help key-decision makers stay informed about the state of the business through internal data products built in tools like Amplitude, Tableau and Mode
Develop strong cross-functional partnerships across Calm to drive our team's success

 Competencies

2+ years of analytics / data science experience
Strong proficiency in SQL
Comfortable manipulating data with Python or R
Experience designing and analyzing experiments
BA/BS in quantitative field
Ability to translate non-technical business requirements into technical solutions, and translate technical solutions to business outcomes
Strong relationship management and presentation skills
Pragmatic: balance scrappiness and rigor

Benefits

Competitive salary and equity
Unlimited PTO
Company-wide Mental Health days off
We pay your medical, dental, & vision insurance premiums
401K
Life insurance and disability benefits
Apple equipment
Opportunity to work with a product focused on making the world happier and healthier
And much more!


Data Scientist Location Analytics

The role
As a socially-driven Data Scientist, you will be contributing to UrbanFootprint’s suite of geospatial data products, many of which leverage our parcel level map of all properties across the US that integrates information about people, employment, land use, the environment and more.  These data products power nearly every decision our customers make.  They allow our customers to design environmentally conscious growth plans, target government relief dollars, and promote equitable community development.
As a product-minded and empathetic Data Scientist, you care deeply about how data quality and accuracy impact real decisions.  You are autonomous, not independent;  you incorporate ideas and feedback from stakeholders and other data scientists, clearly communicate progress and are accountable for the validity and accuracy of the models you build and the outputs you ship.  You are comfortable researching on your own and asking for help when you need it.  You’re thoughtful; you ask questions to ensure you understand the why and verify that UrbanFootprint is tackling the right problems and taking the right approaches.  Pragmatic and hands on, you are comfortable applying models and algorithms to real world scenarios.  You are comfortable prototyping solutions and eager to work with others to ship your models to production.
As a Series B funded startup, UrbanFootprint is an ideal fit for someone with an entrepreneurial spirit who is comfortable with (or, even, energized by) moving forward through ambiguity, lightweight process, and the inevitable changes in direction that come with iterating and refining on product-market fit.
What you’ll do:

Collaborate with product managers and data scientists to understand the problems our customers face and how we can best solve them.
Build prototype solutions addressing a wide range of real-world problems and work with data engineers to transform those prototypes into real products.
Partner with urban planning domain experts, customer success and product managers to ensure that model accuracy meets customer needs and expectations.
Communicate project progress, challenges and outcomes to internal stakeholders.

Your background most likely includes:

Work experience equivalent to a Master’s degree or higher in Statistics, Data Science or Machine Learning.
Experience with a variety of statistical or machine learning regression and classification models, missing data imputation, and/or clustering algorithms.
High proficiency in Python and Python’s scientific programming stack such as pandas, sklearn, statsmodels, one neural network library, and one data visualization library.
Experience developing models in an iterative, fast-paced environment.
Excellent communication, collaboration, and documentation skills.

Bonus qualifications:

Experience with geospatial modeling such as spatial clustering and spatial clustering with non-spatial attributes, spatial interpolation, and small area estimation and/or spatial downscaling techniques.
Experience as a full-stack data scientist, owning data pipelines, model development and production model implementation.
Familiarity with large-scale, cloud-based data analysis frameworks including BigQuery, Xarray, Pangeo, SQL, Apache Beam, Dask or PySpark.
You are socially driven to leverage data to facilitate a more equitable and resilient society.


Senior 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.
With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
We'd love you to join us!
Do you have a passion for creating products and insights with data? Do you love finding the next big 'aha' insight which changes the way a business thinks about their customers? Would you like to lead change with global impact at the HQ of the world's hottest SaaS company?
Atlassian is looking for Senior Data Scientists to join our team. We're looking for people with business instincts, creativity, and analytics mastery, who is passionate about applying these skills to guide smarter product decisions and, delight our customers.
As well as being an important part of a stakeholder team, you'll also be a valued member of the Analytics and Data Science team. Your peers will rely on your expertise and you will help build initiatives that keep Atlassian at the forefront of world-class in analytics and data science. You will report to an Analytics Manager.
In this role, you'll get to:
Work with partners and leaders to identify high impact opportunities for analytics, and align analytics & data science priorities with our stakeholder's strategyPlay with our large volume of data to understand insightful trends and employ these insights to intelligently to improve user journeys and customer valueGuide the measurement culture and understand the impact of our stakeholder's strategy; including designing and analysing experiments and feature launchesEnvision, scope, and build projects by collaborating with partners, customer research, data engineers and other Data ScientistsShare your high-quality insights to multiple levels of leadership to build important decisions and shape overall company strategiesFoster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions
On your first day, we'll expect you to have:
Experience applying your analytics skills to guide projects which have had demonstrated impact on strategic and product roadmap decisionsDemonstrated communication through explaining complex concepts to diverse audiences and creating compelling storiesProject management & prioritisation experience; preferably with Data Engineering, Product Management, Research and Engineering teamsAn Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Expertise in SQL and proficiency in another data programming language (Python, R)Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)
It's great, but not essential, if you have:
Previously worked in global teams and high-growth companiesAn understanding of the SaaS development, business model and metricsBuilt ETL pipelines using any tools or scripting languagesContributed to the broader data community, through meetups, conference attendance, open-source library contribution, or other rolesAdvanced degree in Computer Science, Math or Statistics


Principal Data Scientist Customer Analytics

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 Customer Analytics team at Atlassian delivers insights about our customers throughout their lifecycle with Atlassian. We define and maintain a customer health score, provide insights on customer engagement, build and deploy models to predict potential churn and expansion. We design analytical frameworks to understand different parts of the customer journey, help customers get more value from our product suite and develop insights on the multi-year effort to transition server customers to Cloud. This team partners with other analytics teams and plays a huge role in important programs improving the business. We are a collaborative team with a high bar for analytical rigor, and we love to have fun along the way. We are looking for a top-tier data scientist to be an important contributor to the customer analytics team.
What you'll do
You will help build customer profiles and deliver meaningful insights to improve the efficacy of go-to-market (GTM) and Product programsYou will partner with Atlassian's Enterprise Growth, Product Analytics and Customer Success teams to improve Onboarding, Adoption, Expansion and Retention across our product portfolioInvolved in identifying positive and negative triggers related to product usage and workflows, coming up with data-driven recommendations for programs, defining evaluation metrics, designing experiments, analyzing results to understand the efficacy of the projects and building interactive dashboards to track and understand progressBe a partner to the Enterprise Growth and CSI team and work with the broader Analytics organization to deliver customer insightsYou will mentor senior data scientists and independently guide work with product managers
Your background
9+ years of experience in analytics or related fieldsUnderstand and analyzing digital campaigns at scale - Pre-Post Analysis, A/B testingExpertise in SQL and proficiency in another data programming language (Python, R)Create raw data and analysis into well-written contentExperience designing and analyzing experiments that impact product decisionsPassionate about customer experience, and customer analytics as a craftShare analyses and recommendations to non-technical audiencesUnderstanding of machine learning techniques such as Regression, Clustering, Decision Trees, Gradient Boosting Machines


Senior Data Scientist Growth

One in two people experience debilitating back, neck, shoulder, or joint pain — but traditional treatments have failed to meet their needs. Physical therapy can be expensive and hard to access; appointments often involve long commutes and missed work. Making matters worse, unresolved pain can trigger the overuse of opioids and surgeries.

Join us in reimagining healthcare from the ground up. We’re making high-quality care accessible by pairing wearable sensors and computer vision with a world-class clinical team. Hinge Health puts a digital clinic in every member's pocket. Now millions of people can access personalized digital care from a physical therapist, guidance on behavior change from a health coach, and expert consultations with an orthopedic surgeon. With a single app and wearable technology like our Enso device, we’re helping to reduce pain, surgeries, and opioid use.

Here at Hinge Health, we welcome all applicants and know a diverse team makes us better and stronger. We look for individuals who embody our leadership principles and we value varied experiences and skill sets. Beyond specific work experience, we also look for unique capabilities and skill sets that are key indicators an applicant will thrive in our fast-paced, frequently evolving environment. If this sounds like the kind of place you’d like to be part of, please apply - we would love to hear from you!

Work From Anywhere
Hinge Health employees have the flexibility to work remotely in hubs across the US, Canada, and Latin America or work from our offices in San Francisco, Portland, and Montreal.

About the Role

You’ll play a key role in analyzing data generated by our users as well as providing insights for a wide variety of internal teams (Product, Growth, Clinical, Commercial, Finance, Research) and large enterprise customers. You will be a highly-visible, trusted partner to many of our most important decision makers. This is a fantastic opportunity to join our fast-growing Data team and shape how Hinge Health puts its data to use.

#LI-JJ1

WHAT YOU’LL ACCOMPLISH

Spearheading development of new growth channels by prioritizing opportunities and defining success
Working across departments to standardize how our company runs the business and defines key metrics
Drive long term product direction with a quantitative lens

WHAT WE'RE LOOKING FOR

Experience in data science/analytics, ideally with a focus on growth acquisition or user segmentation
Ability to engage closely with cross-functional partners with a knack for translating complex numbers into actionable insights
Strong communication skills and patience when working with multiple stakeholders simultaneously
Adept at working with data engineers to set company-wide standards for our datasets - helping create a single source of truth for all analytics
SQL and Python experience
Experimentation/AB Testing experience
Prior experience with BI/visualization tools (Tableau, Mode Analytics, Looker, etc.) a must

WHAT YOU'LL LOVE ABOUT US

Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live

Modern life stipends: Manage your own learning and development budget and use the mental health and lifestyle stipends to cover your favorite wellness services, workout classes, gym subscriptions, and work-from-home equipment

Flexible vacation and paid time off: Full-time employees have full flexibility to choose when, how, and why they take time off to rest and recharge

The range of base salary for the position is between $93,800 - $140,700, plus equity, and benefits.  Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies and work location.

About Hinge Health:
LinkedIn recently named Hinge Health one of the Top 50 Startups. Forbes, Fast Company, and Inc. have also recognized our technology, innovation, and culture.

Since our founding in 2014, we've raised more than $800 million from leading investors, including Coatue and Tiger Global. We work with 1000 customers across every industry and the public sector — including Salesforce, Verizon, and the State of New Jersey — to give more than 23 million people access to the care they need. We’re positioned to continue leading the market with unmatched investments in clinical research, care innovation, machine learning, AI, and computer vision.

Diversity and inclusion:
We’re committed to building diverse teams that reflect the communities we serve. Visit hingehealth.com/diversity-equity-and-inclusion to learn more about what moves us.

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.

If you're interested - we'd love to hear from you.


Senior Machine Learning Scientist

Overjet is on a mission to improve oral health for all.
Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care.
We’re building an ambitious team of data scientists, software engineers, clinicians, and business thinkers and doers.
Overjet is backed by an amazing consortium of Venture Capital including General Catalyst, Insight Partners, Crosslink Capital and the E14 Fund. The company has raised nearly $80 million in capital to accelerate talent acquisition and product development driven by strong demand for Overjet’s dental AI.
Role
As a Senior ML Scientist, you will successfully blending novel and SOTA techniques to solve our customer clinical problems. You will create AI innovations that uniquely target problems in the dental space, and work to rearchitect our current ML pipeline to become more scalable, reduce models and cost.
Responsibilities

Design novel architectures and techniques to solidify Overjet’s position as the market leading Dental AI vendor.
Demonstrate AI thought leadership via publications in reputable AI and Dental publications and talks at leading conferences.
Propose annotation strategies designed for optimal model performance.
Lead and mentor junior machine learning engineers and raise the ML bar across Overjet.
Work cross-functionally across diverse stakeholders, including product managers, TPMs, customer success, engineering and clinicians.

Required Qualifications

6+ years of commercial experience working on machine learning projects
Expertise working with SOTA (ViT, CNN, FCN etc.) and novel DL architectures in Computer Vision

Strong Experience in at least two of the following CV tasks - classification, object detection, semantic segmentation, instance segmentation, panoptic segmentation

Experience with NLP
PhD in machine learning, computer science, statistics, mathematics or similar field
A publication record in leading AI/ML journals (e.g. CVPR, ICML, MICCAI) and/or patent portfolio
Strong experience in ML lifecycle components - data engineering, labeling, model training, validation and deployment.
Demonstrable experience with developing models and techniques that have enjoyed industry success
Passionate about making a lasting positive difference in dental/healthcare.

Preferred Qualifications

Experience with creating FDA approved computer vision based products.
Experience with medical imaging
Experience building models with multi-modal input such as images and text

Overjet is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.
We can’t wait to learn more about you and meet you at Overjet!
Why Overjet?

Competitive Compensation and Equity
Fully Remote Working Policy for US Based Employees
401k plans with a matching program
Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered
Life and AD+D Insurance
8 weeks Paid Parental Leave
Optional HSA with Employer contribution
15 Day PTO policies and company paid holidays
Annual Learning and Development Stipend

Work from Home Stipend

Company Recognition

2022 AI-50 Forbes
2022 22 Start-ups to Watch in 2022 - Built in Boston
2021 AI 100 Ranking, showcasing the 100 most promising private artificial intelligence companies in the world - CB Insights
2021 Digital Health 150, highlighting the 150 most promising private digital health companies in the world - CB Insights
2020 & 2019 Digital Health 150 - CB Insights

EEOC
Overjet is an equal opportunity employer.
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply!
If you are a Colorado resident: Please contact us by emailing recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.
#LI-Remote


Senior Data Scientist Feeds And Discover Analytics

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
We are excited to bring a Data Scientist onboard to work with our Feeds and Discover Teams! These teams focus on the user experience across Reddit’s main engagement and discovery surfaces: the home feed, the community feed, the popular feed, the news feed and the recently launched Discover Tab.
As the Senior Data Scientist embedded on the team, you will drive insights on how users consume content and engage across these surfaces, through experimentation and analyses that use the world’s coolest dataset. This will help inform product decisions that will keep making Reddit the best place to hang out online.
We partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage community, discovery, participation, and engagement.
What you’ll do:

Partner cross functionally with Eng and Product leads to help define and implement the team's roadmaps and initiatives
Become the expert at understanding how Feeds act both as consumer surfaces, but also as entry points to conversations and media.
Generate data-driven insights that propose next steps in strategic roadmaps
Design and evaluate A/B tests for product feature experiments to understand the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards
Build the dashboards and tools that help your cross-functional partners self serve their data needs

Who you might be:

Have proven experience in quantitative or data science, or product analytics roles (4 or more years)
Proficiency with relational databases (e.g., SQL)
Are familiar with statistical analysis and programming languages preferred (e.g., R / Python)
Have worked with teams leveraging Machine Learning for ranking or similar features
Have a strong customer and business focus
Entrepreneurial and self-directed
Are comfortable in innovative and fast-paced environments, and have a bias toward action.
Can discuss complex topics with technical and non-technical audiences
Enjoy solving ambiguous and undefined problems


Director Analytics

Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals.
We’re one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation. Our personal finance app makes investing easy and affordable; this year 6 million customers set aside more than $3 billion with Stash.
Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first - hybrid model. Live and work where you feel the most productive, whether that is in our home, in an office, or a combination of both. Anywhere in the US or UK.
Let’s solve complex problems and tackle wealth inequality.
Stash is looking for a Director of Analytics experienced with marketing and acquisition teams to build reliable, scalable, and performant data systems and software.
This role will partner closely with Growth Marketing to drive data driven decision making using attribution modeling, incrementally testing, and LTV modeling to build the financial advisor of the future.
We look for strategic thinkers and creative problem solvers with a bias for execution. You can expect to contribute code as well as product/feature ideas from the get-go.
If you are looking for a culture that encourages ownership, taking calculated risks, being data-driven and that values evidence over ego, we would love to hear from you!
What you’ll do:

Manage a team of 3 data scientists delivering data products that support growth at Stash
Maintain and iterate on data products to ensure high-availability and reliability
Partner with the growth teams at Stash to deliver data products that enhance decision making, measure impact, and optimize the customer experience
Build and maintain scalable data systems and infrastructure that empower our marketing, product and business teams to make better decisions
Develop ETL pipelines that enhance source data to create more actionable insights
Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques
Make rigorous statistical inferences from A/B testing on our product and customer segments

Who we’re looking for:

5+ years of experience; most recently working with data, preferably from a growth perspective
SQL proficiency, with an understanding of storing and querying data from Redshift, PostgreSQL, or similar database infrastructures
4+ years of professional programming work in Python, or similar
Experience with Pandas, R, or other statistical modeling frameworks
Comfort with distributed computing, specifically Pyspark, AWS EMR, and Airflow
Knowledge of Looker or similar front end analytics platforms
dbt, Data Engineering and ETL experience is a big plus!

#LI-REMOTE
#LI-JB1

At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races,  genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on.
Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve.  As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible please reach out to recruiting@Stash.com.
Invest in Yourself:

Equity & Stash Accounts [Invest, Retire, Custodial, Bank]
Flexible PTO
Learning & Development Fund
Work from Home Stipends
Parental Leave [Primary & Secondary]

Recognition:

BuiltIn’s Best Places to Work (2019, 2020, 2021)

Forbes Fintech 50 (2019, 2020, 2021)

Best Digital Bank, Finovate Awards (2020)

Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020

LendIt Fintech Innovator of the Year (2019 & 2020)

**No recruiters, please**


Research Associate

Description
Education Analytics (EA) is a non-profit organization that uses data analysis to inform education policy and management decisions. We work with school districts, regional offices of education, non-profits, and policymakers to identify ways to make education systems better.  We are seeking a full-time Research Associate to provide quantitative research support to our team of Research Scientists.  Research Associate tasks may include data preparation and analysis (e.g., data extraction and merging, summary statistics, regression analysis, and interpretation of statistical evidence); support for advanced modeling and simulations; statistical programming; and contributing to the writing and preparation of draft documents and presentations. The Research Associate may have the opportunity to co-author reports and journal articles.
If you are looking to really dig into data and apply cutting-edge statistics to address critical problems impacting the lives of millions of students across the country, we encourage you to apply. We are looking for passionate, budding researchers who view every challenge not as a roadblock but as an opportunity to do something innovative and exciting to transform the U.S. education system.
Specific Research Associate Responsibilities
Main responsibility:
Working with EA researchers to explore and refine innovative statistical methods for education policy and management applications that may include, but are not limited to, the following approaches: linear and nonlinear regression methods, Bayesian methods, propensity score matching, and multilevel/hierarchical linear modeling
Other responsibilities may include:
Collaborating with programmers to implement statistical models for external partners and projects  Contributing text to technical memos, policy briefs, partner reports, and grant proposals, for a variety of technical and non-technical audiences Assisting in writing research-oriented documents, including conference papers and presentations, academic journal articles, working papers, and technical documentation
Skills and Experience
Required: Bachelor’s degree in a statistically focused field (e.g., Economics, Statistics, or Data Science) from a four-year college or university  Preferred: Two years of professional experience in an academic, non-profit, corporate, or other research-focused setting; and/or graduate training (e.g., master’s degree, PhD coursework, or ABD) in economics, statistics, data science or a related field  Understanding of and interest in quantitative methods—especially statistical or econometric models—for studying individual decision-making and/or evaluating public policy and programs Proficient with at least one statistical software program (e.g. R, STATA, SAS) is required; familiarity with R is preferred Strong problem-solving and systems-thinking skills Strong attention to detail Solid written and verbal communication skills Desire to work in a team environment at a fast-growing, fast-paced nonprofit  Interest in improving and supporting U.S. K-12 public education through data analysis
Benefits
Salary starting at $60,000Annual merit bonuses 9 paid holidays of your choosing and 26.5 days of paid vacation per year  Generous 401k and health benefits Free Madison Metro transit pass or subsidized office parking (if space is available) Casual office environment Location right in the heart of downtown Madison, Wisconsin
Location
Located in or open to relocating to Madison at some point (timeline open given COVID-19 uncertainty).
Education Analytics is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.We want to let candidates know that EA is a federal contractor with over 50 employees. As the situation has evolved with federal requirements, we now require vaccinations for all employees. Medical and Religious accommodations will be granted where they do not cause Education Analytics undue hardship or pose a direct threat to the health and safety of others. Keep this requirement in mind and please reach out if you have any questions or would like to request accommodation.


Manager Data Science

Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great Aplace to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. The role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary. Manages a team of high performing quantitative analysts and will be responsible for ensuring the team stays motivated and engaged. Manages team performance, coach and develop employees and hire the right talent. In addition, this individual will identify, prioritize and supervise the team to flawlessly execute on initiatives.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.
Manages priorities and sets of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.
Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.
Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
Recommends improvement to work processes to increase efficiency while maintaining quality of work. Consistently follow standard work processes and documentation requirements. Continuously improve technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Computer Science, Economics, Engineering, Mathematics, Sciences or related field
6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Business, Computer Science, Engineering, Mathematics, Sciences or related field
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#Remote
#LI-RD1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Lead Data Scientist Digital Analytics

Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights.
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.
Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.
Manages multiple priorities, communicate business performance and project progress to management & business partners.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.
Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's Degree in Analytics, Engineering, or Statistics
4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's Degree in Analytics, Engineering, or Statistics
2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
#Remote
#LI-RD1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.