Sr Data Scientist Quantitative Research

Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
The Buyer Risk team at Wish has an opportunity for experienced Data Scientists in Quantitative Research in San Francisco. The role entails driving analytics insights and enabling senior leadership to make effective, analytically driven decisions, in particular areas of fraud  risk and financial efficiency. The ideal candidate should be passionate about Wish and e-commerce, has a strong analytical and consultative mindset, deep understanding of databases and data visualization, the ability to thrive in a dynamic, fast-paced environment delivering against tight deadlines, and a passion for scaling operations through automation.What you'll be doing:
Conduct insightful analysis using internal and external data (e.g. revenue, customer, merchant) to gain insights that will drive tactical and strategical business decisions.Proactively watch for signs of trouble, articulate with data, and make hot fixes before long term solutions can be deliveredConceptualize and build centralized tools (including pipelines) that can extract data/insights for daily business management in an automated manner.Develop dashboards and visualizations for the business stakeholders and maintain the integrity of the reports. Streamline and automate dashboards / reporting / pipelinesProcess a large amount of data and do deep dives to understand certain trends/patterns, carry out correlation analysis to identify causes and relatedness.Conduct deep dive for root cause analysis and causal inferenceOwn foundation work that enables others and other teamsOwn the end to end data -> insights -> actions -> feedback closed loopWork effectively with cross-functional teams globally, assimilating requirements, driving results in the form of data insights and being liaison between engineers and business partners.Own backtesting and experiments for fraud rules and models
#LI-REMOTE#LI-WISHXDS
Qualifications
Master’s degree in Statistics, or a quantitative field. PhD preferred.1+ years of work experience in finance/business/risk data analysis.Proficiency in SQL or other query languages, deep experience and strengths to develop complex queries.Development experience in at least one scripting language (R, Python, PHP, Perl, etc.).Strong analytical and problem-solving skills; ability to transform data into business insights and actionable recommendations. Experience working with large data sets that are structured and partially structured.
Preferred Qualifications:
1+ years of work experience in machine learning 1+ years years with big data systems, such as Spark, Hadoop
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.


Data Scientist Entry Level

Background:
DonorSearch is the leading provider of prospect research solutions and AI-powered technologies, serving over 6,800 nonprofit organizations across the US. We are family-owned, headquartered in Maryland, and have a rapidly-growing remote workforce in every U.S. timezone.  With our outstanding reputation and team of innovative professionals, we seek someone to join us to expand our brand and make a lasting impact on the world.
At DonorSearch, we value: Innovation, Excellence, Growth, Collaboration, and Quality.
Job Summary:
DonorSearch Aristotle introduced deep learning and machine learning into the nonprofit sector by building custom models with a robust interactive visualization tool to help organizations fundraise more efficiently.  The Data Scientist will use best-in-class machine learning technologies to develop machine learning algorithms to meet various objectives of fundraising staff.
Key Responsibilities:
Builds production-quality, custom predictive models to enhance and expand our core productInvestigates new data sources, perform statistical analyses, and document findingsWorks with engineering and data vendors to improve the accuracy of our data sources Performs analysis on a wide variety of large and disparate datasets using complex techniquesCreates presentations and data visualizations to effectively communicate results to internal staff and external customersApplies and combines current and emerging techniques and tools in novel waysDevelops and combines complex data analysis techniques and methods for a specific applicationPrepares and aggregates large datasets ML builds and scoringMaintains machine learning models and evaluate ongoing performanceProvides support to DonorSearch Aristotle clients with phases of data discovery, aggregation, delivery, onboarding, and adoption
Requirements:
A Bachelor's degree in Computer Science or related discipline with a minimum of 3 years of related experience; Master's degree in similar disciplines with a minimum of 1 year of related experience; or PhD in similar disciplines.Broad knowledge in one or more related fields of the following areas: artificial intelligence, quantitative modeling, machine learning, statistics, math, data science and data visualization.Experience in wide application of principles, theories, basic programming and Artificial Intelligence Techniques and conceptsHands on experience in building, testing, operationalizing and maintaining machine learning modelsExtensive knowledge of applicable industry and/or academic practices and standards in software design & development and Computer ScienceAdvanced degree in a quantitative disciplineExperience including applied techniques in modern data science and machine learning in production environmentsExpert knowledge of Python & SQLCollaborative, team-focused attitude with a strong desire to advance the product and learn new thingsThe ability to communicate technical ideas to a non-technical audienceSelf-starter with experience turning ideas into actionable designsExcellent written and verbal communicationEligible to work within the United States
Note: This is a remote position that requires up to 25% travel.
The Salary range for this position is $60,000+, with bonus potential.
www.donorsearch.net


Analytics Director Learning Impact Design

Analytics Director – Learning, Impact and Design Flexible Location  TNTP seeks a full-time Analytics Director to join TNTP’s Learning, Impact, and Design team. This position may be based in a home office anywhere in the U.S., and is available immediately.  Travel up to 20% for this position is required.      Who We Are A national nonprofit founded by teachers, TNTP believes our nation’s public schools can offer all children an excellent education. Today we’re a diverse team from a wide range of fields, united by a fierce commitment to helping school systems end educational inequality. We work at every level of the public education system to attract and train talented teachers and school leaders, ensure rigorous and engaging classrooms, and create environments that prioritize great teaching and accelerate student learning.  The Learning, Impact, and Design (LID) Division is dedicated to supporting TNTP to become a smarter learning organization, able to tell the story of our impact so that we can more effectively help students achieve their aspirations by increasing their access to teachers with high expectations, grade appropriate assignments, strong instruction and deep engagement. Within LID, the Impact team ensures that we systematically measure our reach and impact through a strong, data-based approach to continuous improvement, and that we provide high-quality data analytic work to our clients.  What You’ll Do
As an Analytics Director, you will partner with internal and external clients and project teams to design and implement customized solutions that ensure they can effectively use the data they have available to them to tell effective data stories, learn what’s working, and ultimately improve students’ experiences. Specific project assignments vary in scope, duration, and depth – but all will require the Analytics Director to independently tackle complex challenges with innovative and nuanced solutions and persuade internal and external clients to embrace continuous learning and, at times, new approaches to solving old problems.
On any given day, this role may be asked to:

Develop and apply research methodologies to meet TNTP business needs (e.g., validate instruments’ properties, assess TNTP tools and systems as predictors of student outcomes, create new analytic models for evaluating programs and teachers/school leaders, etc.)
Create compelling data stories using analysis to support our partners in improving students’ experiences and outcomes.
Review external research to support staff and clients in making research-based decisions for their work.

Support internal and external clients to use continuous improvement methods and learning approaches to improve their outcomes.
When needed, represent TNTP in the external research community

What You Bring

We are looking for amazing people who have diverse backgrounds and experiences, are inspired by our mission and are highly motivated to change children’s lives through education. You’ll be right at home here if you learn from failure and overcome adversity, cultivate strong relationships, understand the power of diversity, advocate for equity, aspire to lead through inclusion, and push yourself, your work and the people around you to the next level.

We expect our Analytics Directors to:

Innovate and implement solutions to complex challenges. You have a history of engaging with high stakes challenges directly and successfully. Ambiguity doesn’t overwhelm you; just the opposite, you thrive on it. Your creative instincts will help you deal with vague situations and develop new approaches with limited guidance.
Conduct research that drives meaningful learning and change. You’ll regularly support our staff and partners to answer research questions and measure the impact of their work.
Influence leaders to act. You’ll regularly interact with, and be expected to influence, high level clients at the district and school levels – motivating them to implement both small and significant recommendations.

Have stage presence. We’re counting on your strong public presentation skills and ability to provide thoughtful and compelling insights in settings small and large, formal and informal.
Sweat the details. You’ll use your strong organizational and project management skills to execute and move our work toward ambitious goals.
Take a systems approach to improving student learning.  You can look at a variety of data and draw conclusions, at the school and district level, and design systems-level strategies to improve instruction and advance equitable student outcomes.
Build relationships. You have the ability to connect and build relationships with diverse communities. Bilingual abilities are a plus, Spanish language preferred.

Qualifications

Advanced in most data science workflow competencies
Well-versed in external research & methods and can translate them to an applied setting to strengthen TNTP’s work
Proficiency in advanced statistical models commonly used in education research.
Proficiency in statistical programming using R (preferred) or another programming software

Strong written and oral communication skills: you share the appropriate amount, at the appropriate level for the audience, in a clear and compelling way.
Experience leading a research team to produce applied research or program evaluation results for clients
Ability to credibly represent TNTP, its research agenda, and research findings externally (as needed)
Advanced degree in a related field (preferred)

What We Offer  TNTP offers a competitive salary commensurate with experience in a similar position with the potential for an annual performance-based bonus. The salary range for this position is $93,600 - $140,400. New hires are typically brought into the organization at a salary between the range minimum and midpoint depending on experience and in alignment with internal equity. We offer a comprehensive benefits plan, covering the majority of the employee premium for the base medical plan and subsidizing the majority of costs for a spouse/domestic partner and children. Other benefits include dental and vision plans, disability, life insurance, parenting benefits, flexible spending account options, generous vacation time, commuter benefits, referral bonuses, professional development, and a 403(b) plan with employer matching. We also offer an inclusive environment where staff are encouraged to bring their whole selves to work every day. TNTP may offer a relocation stipend to defray the cost of moving for this role, if applicable.
To Apply  Please submit your online application through Workday. It’s in your best interest to apply as soon as possible. We recommend including a cover letter in your application addressing why you are interested in TNTP and how your experience has prepared you for this position.

#LI-Remote
Position Type:RegularTNTP is an equal employment opportunity employer committed to maintaining a non-discriminatory work environment. TNTP does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, gender, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, gender expression, arrest record, conviction record, or any other personal characteristic protected by applicable law. This policy covers all programs, services, policies, and procedures of TNTP, including recruiting, hiring, training, promotion, and administering all personnel actions, such as compensation, benefits, transfers, layoffs or terminations.


Principal Data Scientist

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary
Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate.  In D3, you’ll be surrounded by 330+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good.  We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers.  We are partnering to incorporate analytics into every aspect of the enterprise.   We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology.  We are committed to creating an inclusive and diverse work environment where everyone has an equal opportunity to succeed. We strive to hire people from a wide variety of backgrounds so that we can better serve our increasingly diverse and multi-faceted customer base. Developing ourselves and others is key to our success.
The Analytics Center of Excellence is positioned at the center of Allstate’s analytics ecosystem and builds, deploys, and integrates advanced analytics across Allstate.  As a Principal Data Scientist you will have the opportunity to innovate and drive adoption of the latest data science tools and methodologes across the Allstate enterprise.This includes: researching, developing, and implementing techniques from fields such as statistics, machine learning, natural language processing, and computer vision; the coding/development of tools that use machine learning/predictive modeling to make business decisions; keeping current with the latest academic research in data science; identification of new business problems that can be solved through the use of machine learning; engaging with our university partners to identify research ready for use and implementing within the business. The person in this role will help shape Allstate’s data science strategy and will have the opportunity to work across areas of the business.   The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role will also begin to oversee highly complex projects.
Key Responsibilities
Leverages research and applies state-of-the-art deep learning techniques to inform key strategic recommendations and decisions.
Reviews, evaluates, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed, and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
Collaborates and influences outside business units and leads work on data and complex business problems across departments in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies and develops solutions that use new areas of data, research and models and develops data sources that can solve business problems.
Utilizes effective project planning techniques to break down complex and occasionally highly complex machine learning/predictive modeling and/or development projects into tasks, manages scope of projects, develops project plans, and ensures deadlines are kept.
Advises data science and business partners on applying advanced analytics and regularly trains them on state-of-the-art.
This role does not have people management responsibilities.
Preferred Qualifications
Education and Experience
A Bachelor’s degree in a field such as math, computer science, statistics, machine learning, engineering, or related.  Graduate degree a plus.
7 or more years of related experience.
Expertise in one or more of the following disciplines: Computer Vision, NLP, Optimization, Deep Learning, or expert Machine Learning generalist.
Functional Skills
Experience deveoping machine learning algorithms and models and applying to business problems.
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Experience working with Agile team and demonstrated analytic agility with ability to quickly learn and switch topic.
Ability to craft new concepts and stay current with academic research
Ability to use and learn a wide variety of tools and languages to achieve results
Proven ability to code and develop prototypes in various languages
Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
Ability to train, develop, and teach more junior modelers
Knowledge of advanced machine learning techniques and libraries
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
READ MORE


Lead Data Scientist Consultant

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Summary
This role is responsible for leading the use of data to make decisions. This includes: the development and recommendation of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of new business problems that can be solved through the use of machine learning/predictive modeling. The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role will also begin to manage projects of medium to high complexity.
Key Responsibilities
Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
Reviews, evaluates, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
Collaborates with outside business units and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.   Effectively understand the business’ problems and requirements to identify the optimal modeling approach.  Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions.
Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.
Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept.  Manages various analytical and modeling projects with small number of team members.
Mentors and develops others
This job does not have supervisory responsibilities
Preferred Qualifications
Education and Experience
Master’s or PhD and 5 or more years of related experience, preferred
Bachelor’s and 8 or more years of related experience
Functional Skills
Proven experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts
Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
Experience working with Agile team and demonstrated analytic agility with ability to quickly learn and switch topics
Ability to use and learn a wide variety of tools and languages to achieve results
Proven ability to code and develop prototypes in languages such as Python, Spark
Ability to lead a project team of various skills levels
Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable
Ability to train, develop, and teach more junior modelers
Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making
Knowledge of advanced machine learning techniques and libraries
The compensation range for this position is $117,000 to $144,800 per year based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee’s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Data Scientist Revenue Analytics

About Extend

Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. After a $260M Series C financing round, we are ready to continue to scale our organization and grow beyond our $1.6B valuation.

Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters.

We are a venture-backed startup based in downtown San Francisco (and since COVID began, fully remote) that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry.

What You Will Be Doing:

Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams
Work with our Risk & Insurance team to build deep-dive analytics to help drive step-change improvements in efficiency (beyond day-to-day workforce management)
Analyze and recommend pricing strategies for the Sales and Merchant Success teams to drive client acquisition and optimization
Create platform analytics to confirm product operation is as expected and develop new processes to optimize warranty mapping operations
Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale
Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes
Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies

What We Are Looking For:

A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative
2-4 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service
Experience with SQL and Python, R or Julia, experience with Machine Learning and/or forecasting is a plus
Experience in the retail or fintech landscape is a plus
Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential
Ability to communicate and collaborate across the organization, especially to teams with less data & analytics experience
Biased towards action and not afraid to make mistakes
Empathy and humility

Life At Extend:

Working with a great team from diverse backgrounds in a collaborative and supportive environment.
Competitive salary based on experience, with full medical and dental & vision benefits.
Stock in an early-stage startup growing quickly.
Unlimited vacation policy.
401(k) with Financial Guidance from Morgan Stanley.


Data Scientist Optimization

About Extend:

Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. With a brand-new $260M Series C round of funding, we are excited to continue to scale our organization and grow even further beyond our $1.6B valuation.

We are a venture-backed fintech startup based in downtown San Francisco that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry, in the same way that Stripe did for online payments and Affirm did for consumer point of sale financing.

Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. We are the trusted partner by household brands such a Peloton, JBL, Harman already and are just getting started.

About the Role:

This is a data scientist hire for the Optimization team in Extend's Revenue Analytics Org. The Optimization team aimed at driving additional revenue growth, optimize the company’s performance and deepen our existing merchant relationship with identified constraints.  You will have the opportunity to help scale within the organization. The role's responsibilities will include:

What You Will Be Doing:

Develop automation tools and models to streamline portfolio and merchant optimization
Introduce scientific approach and methodology to improve optimization outcome
Design A/B test and define data framework to evaluate prediction accuracy
Develop a robust optimization and monitoring infrastructure, and use this infrastructure to assess, define, and scale optimization opportunities for different segments and for our top merchant partners
Develop documentation of models, processes, and frameworks and continuously iterate with improvements
Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams
Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes
Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies

What We Are Looking For:

3-5 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service
Highly proficient in manipulating large data sets with SQL and Python, R or Julia, experience with Machine Learning and/or forecasting is a plus
Proven record of delivering business value by operationalizing predictive models or automated tools
Not afraid of operating in ambiguous environments and build up data framework from the ground up
Strong written and verbal communication and not biased towards model documentation
Ability to dive deep into data and communicate insights to audiences of all backgrounds
A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative
Experience in the retail or fintech landscape is a plus
Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential

Life at Extend:

Working with a great team from diverse backgrounds in a collaborative and supportive environment
Competitive salary based on experience, with full medical and dental benefits
Stock in an early-stage startup that is growing quickly
Flexible vacation policy


Data Scientist Client Insights

About Extend:

Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. With a brand-new $260M Series C round of funding, we are excited to continue to scale our organization and grow even further beyond our $1.6B valuation.

We are a venture-backed fintech startup based in downtown San Francisco that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry, in the same way that Stripe did for online payments and Affirm did for consumer point of sale financing.

Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. We are the trusted partner by household brands such a Peloton, JBL, Harman already and are just getting started.

About the Role:

You will be joining the newly-created client insight team in Extend's Revenue Analytics Org and you will have the opportunity to create and form how this team will shape.

What You Will Be Doing:

Partner with merchant success teams to show the value that Extend delivers to merchants and why we are the best in the industry, including building A/B or serial tests, NPS surveys, merchant satisfaction surveys, or other methodologies to track successful attachment and conversion
Lead the analytics engagement with enterprise merchants, managing and coordinating cross-functional analytics projects and insights work
Identify and execute on new revenue opportunities and conduct quantitative analysis to understand and prioritize strategic initiatives
Work with XFN teams to turn merchant analytics insights into sales enablement and competitive positioning
Manage tests for specific merchants and generate data to build out case studies and GTM messaging strategies
Introduce scientific approach and methodology to improve merchant performance
Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes

What We Are Looking For:

3-5 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service
Not afraid of operating in ambiguous environments and build up data framework from the ground up
Strong written and verbal communication and experience managing clients are preferred
Ability to dive deep into data and communicate insights to audiences of all backgrounds
A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative
Experience in the retail or fintech landscape is a plus
Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential

Life at Extend:

Working with a great team from diverse backgrounds in a collaborative and supportive environment
Competitive salary based on experience, with full medical and dental benefits
Stock in an early-stage startup that is growing quickly
Flexible vacation policy


Vice President Data Partnership Data Science

Vice President , Data Partnership, Data Science  (Remote OK) - 102004
Data Science - USA New York, New York
As the world’s largest research organization, Nielsen is powered by talented, creative scientists, researchers and engineers. Our associates come from diverse disciplines that include business, economics, engineering, marketing, mathematics, operations research and statistics. These professionals drive innovation and insight through continual ideation, complex analyses and delivery of insights to our clients. Because measurement is at the core of Nielsen's business, our products have high visibility and make a direct impact on our clients.
About the job
We are looking to add an experienced data scientist to a leadership role to focus on our Data Partnerships. This collaborates with many teams across Nielsen - Product, Tech, and Data Science. It will partner closely with our data partnerships teams in Product globally -  with a strong connection between data to measurement and analytics. This role will report into our Head of Data science and act as a member of the Data Science Leadership team.

What you will do
Data in, data out policies
Interface with external identity vendors, suppliers, collaborators
Management of data prospect supply funnel
Management of data supply chain from a commercial perspective
Contracting of data suppliers
Onboarding of data suppliers
Data supplier contract expansions/amendments/renegotiations
Funding of data supply chain (present & future)
Data evaluations for lower funnel prospects
Ongoing data evaluations for onboarded data supply chain
Ongoing data solutioning / regular check-ins with data suppliers
Data policies (volume SLAs, freshness SLAs, quality SLAs, variety guidelines)
Data integration for tests and contracted deliveries (schema discussion, batches, API)
Go, no-go signal on prospective deals

Is this for me?
Advanced degree in computer science, statistics, operational research, STEM, or similar
8 or more years work experience in data science and analytics
Experience in leading data science teams
Proficiency in SQL and Python (or similar) for data analysis and software development
Experience with modern machine learning libraries and frameworks (e.g. LightGBM, XGBoost, PyTorch, TensorFlow, Stan, etc.)
Big data orchestration and processing tools such Spark and Airflow etc.
Excellent communication skills, ability to explain complex problems to technical and non-technical audiences
Ability to see the big picture and think strategically
Experience in identity, media, or marketing analytics, including campaign measurement, cross-platform deduplication and lookalike modeling or experience in online media and the ad tech ecosystem
Knowledge of the TV market and Nielsen measurement solutions
Good vibes, integrity, and good work ethic
#LI-MJ1
ABOUT NIELSEN
By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Type: Regular
Primary Location:  New York,New York
Secondary Locations: Remote, , ,
Travel:  Yes, 25% of the Time


Senior Data Scientist

Senior Data Scientist (Remote ok) - 106496
Data Science - USA Columbia, Maryland
The Data Engineer’s primary responsibility in the Audio Data Science team is to develop creative solutions to support the data and analysis infrastructure and pipeline which underpins the survey quality for all Nielsen Audio survey products.  In order to deliver high quality standards, the Data Scientist will work as subject matter expert on a team of analysts to establish, maintain and continuously improve data tools supporting the Audio data science team.

Tasks will include developing system enhancements, procedural and technological documentation, working with cross functional teams to implement solutions into production systems, supporting survey methodology enhancement projects, and supporting client facing data requests.
What will I do?
Maintain and continuously improve the data infrastructure and analysis framework for the Audio Data Science team
Transition the data science tech infrastructure away from legacy systems
Work with cross-functional teams to implement and validate enhanced audience measurement methodologies
Build and refine data queries from large relational databases/data warehouses/data lakes for various analyses and/or requests
Utilize tools such as Python, Tableau, AWS, Databricks etc. to independently develop, test and implement high quality custom, modular code to perform complex data analysis, visualizations, and answer client queries
Maintain and update comprehensive documentation on departmental procedures, checklists and metrics
Implement prevention and detection controls to ensure data integrity, as well as detect and address quality escapes
Work closely with internal customers and IT personnel to improve current processes and engineer new methods, frameworks and data pipelines
Work as an integral member of the Audio Data Science team in a time-critical production environment
Key tasks include – but are not limited to – data integration, data harmonization, automation, examining large volumes of data, identifying & implementing methodological, process & technology improvements
Develop and maintain the underlying infrastructure to support forecasting & statistical models, machine learning solutions, big data pipelines (from internal and external sources) used in a production environment

Is this for me?
Undergraduate or graduate degree in mathematics, statistics, engineering, computer science, economics, business or fields that employ rigorous data analysis
Must be proficient with Python (and Spark/Scala) to develop sharable software with the appropriate technical documentation
Experience utilizing Gitlab, Git or similar to manage code development
Experience utilizing Apache Spark, Databricks & Airflow
Expertize with Tableau, or other data visualization software and techniques
Experience in containerization such as Docker and/or Kubernetes
Expertize in querying large datasets with SQL and of working with Oracle, Netezza, Data Warehouse and Data Lake data structures
Experience in leveraging CI/CD pipelines
Experience utilizing cloud computing platforms such as AWS, Azure, etc
Strong ability to proactively gather information, work independently as well as within an multi disciplinary team
Strong verbal, presentation, and written skills
Strong critical thinking and creative problem solving skills
Strong planning and organizational skills
Proficiency in MS Office suite (Excel, Access, PowerPoint and Word) and/or Google Office Apps (Sheets, Docs, Slides, Gmail)

Preferred
Knowledge of machine learning and data modeling techniques such as Time Series, Decision Trees, Random Forests, SVM, Neural Networks, Incremental Response Modeling, and Credit Scoring
Knowledge of survey sampling methodologies
Knowledge of statistical tests and procedures such as ANOVA, Chi-squared, Correlation, Regression, etc

#LI-MJ1
ABOUT NIELSEN
By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Type: Regular
Primary Location:  Columbia,Maryland
Secondary Locations: Remote, , ,
Travel:  No


Sr Data Scientist

Sr. Data Scientist - Remote OK - 90184
Data Science - USA Chicago, Illinois
Nielsen is the largest measurement company in the world with unique technologies, assets, and data that make it one of the most interesting and challenging places for a data scientist to work.  We focus on measuring total media consumption across all platforms in over 90 countries and counting.

Data Science is core to what Nielsen does and our research projects have high visibility in directly affecting the results of our business and our clients.  The Senior Data Scientist role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement.  This is an ideal position to grow as a researcher, contribute to innovative products, and deploy cutting edge methodologies in audience measurement methodology and integrate big data into existing products.

About the team
The Cross Media team within the Data Science organization focuses on improving and enhancing Nielsen’s highly successful audience measurement products out in the marketplace for advertising and content measurement. As part of this exciting team, this position will focus on developing new methodologies to measure audiences across platforms (including on “connected” or “over the top” devices, smart tv’s, or set top boxes) and on evaluating and integrating new data assets and partners into Nielsen’s existing methodologies in order to enhance or expand the data delivered to clients.

A major focus of this work is total audience representation across demographics.  Advertisers do not just need to count audience members.  They need to know who is watching.  Ensuring all groups are appropriately represented in measurement is core to Nielsen’s value and a key role of this team.
What will I do?
Learn and become an expert in how big data flows through Nielsen systems in order to create reliable data pipelines that will feed into methodology development processes.
Work with cross-functional teams to implement and validate enhanced audience measurement methodologies.
Independently write custom Python and SQL code.
Develop, implement, enhance, and support large-scale machine learning efforts
Drive technical solutions to complex business problems - from lightweight automation to designing and building robust/scalable solutions.  Strong focus on optimization.
Key tasks include – but are not limited to – trend analyses, identifying methodological and process improvements, representation/sampling, bias reduction, indirect estimation, data integration, automation, generalization, examining large volumes of data, harmonization, as well as working with different data sources.
Proactively gather information, as needed, to work independently and with a team.
Support in detecting and addressing quality escapes.
Is this for me?
Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background
Preferred Master’s degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background
3-5+ years of professional work experience in data analysis, software development, pipeline management, and/or related disciplines - change order
Must be proficient with Python, Spark, or Scala to develop sharable software with the appropriate technical documentation.
High fluency in SQL & large-scale databases
Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses
Experience with machine learning techniques
Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical
Must have the ability to work alone and with a team
Must have critical thinking skills necessary to evaluate results in order to make decisions
Must demonstrate intellectual curiosity and persistence to find answers
Demonstrate interest in Nielsen methodologies, data collection, platforms, research processes and operations.

Skills Desired:
Experience with data visualization tools
Experience with machine learning techniques
Experience working with cloud based or big data technologies
Experience with Apache Airflow
#LI-SF1
ABOUT NIELSEN
As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Type: Regular
Primary Location:  Chicago,Illinois
Secondary Locations: FL - Tampa - Oldsmar, Remote, ,
Travel:  No


Lead Data Scientist

Lead Data Scientist - 101792
Data Science - USA New York, New York
Title: Lead Data Scientist
Division:  Data Science
Location: United States: Remote
What is the role?
Streaming is exploding right now! As a Lead Data Scientist on the Connected TV Measurement team, you will have a front row seat for all of the action.
What will I do?
In this role, you will be working to develop methodologies to enhance Nielsen’s Connected TV measurement.  Your primary responsibilities include:

Drive the development, testing, and implementation of new measurement methodologies, including client-focused impact assessments

Build and deploy production-ready automated methodologies into functional modules, including unit tests and quality control checks while incorporating CI/CD workflows

Identify root causes and solve any bugs or quality escapes

Ensure detailed documentation of new methodologies, research findings, and best practices

Ensure product quality, stability, and scalability by facilitating code reviews

Explaining complex model-related concepts in simple terms to non-technical internal and external audiences

Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices

Is this for me?
This role requires:

5+ years of professional work experience in Statistics, Data Science, Computer Science, and/or related disciplines

Experience with developing and automating methodologies

Mastery of Python

Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3

Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines

Experience with ETL frameworks like Airflow

Familiarity with DevOps tools and CI/CD workflows including Git

Bachelor's degree in Statistics, Data Science, Computer Science or other related field

Organization and clear communication

Nice to have:

Advanced degree in Statistics, Data Science, Computer Science or other related field

Experience working in cloud-based environments such as Azure, AWS, or GCP

Domain expertise in Digital or Television measurement

#LI-SF1
ABOUT NIELSEN
By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Type: Regular
Primary Location:  New York,New York
Secondary Locations: , , ,
Travel:  No


Data Science Manager

Data Science Manager (Remote OK) - 101961
Data Science - USA Atlanta, Georgia
The Manager, Data Science position is responsible for a blend of research, analytics, and statistical operations, leading a team of associates responsible for the statistical weighting, computations, and methodological enhancements of our local Metered Market measurement products. Make an immediate impact with modern audience measurement techniques that blend the strengths of high quality representative panel data with the scale of “big data” assets such as set top boxes and Smart TVs.
In this role, you will lead a small team by organizing, specifying, and reviewing the work of junior data scientists. You will get into the nitty-gritty details of coding, pipelines, and model development, ensuring product quality, stability, and scalability by facilitating code reviews and driving best practices such as modular code, unit tests, and the like. You will use your ability to comprehend complex problems quickly and identify/explore creative solutions across linear and streaming modes of media consumption. Project areas may include such topics as representation/sampling, bias reduction, anomaly detection, and classification problems.
The ideal candidate has a background that skews towards data engineering while still having a strong data intuition and methods foundation. You should have an ability to be scrappy when necessary but lean towards building scalable longer term solutions.
What will I do?
Translate product/project requirements into technical tasks for the data science team
Collaborate with cross functional Product and Technology teams to deliver on the product roadmap on schedule
Make decisions on the selection of methodologies, technical tools, and processes that most effectively and efficiently reach the desired outcome
Work with Agile teams to productionalize, validate, and optimize methodologies
Implement strategies to automate production of methodologies. Actively sponsor code reviews
Support analyses for custom requests, client inquiries, impact of changing methodologies, audits, and standards/best practices
Learn and become an expert in how big data flows through Nielsen systems in order to create reliable data views that will feed into client inquiry processes
Stay abreast of changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods/processes
Summarize, document, and communicate research findings to audiences of varying levels of technical subject matter expertise
Is this for me?
Master’s degree in a quantitative research field, such as data science, statistics, computer science, etc.
At least 6 years research experience in a business setting
Experience managing people
Statistical and analytical skills with expertise in modeling/machine learning techniques
Excellent Python skills, including relevant data science libraries such as Pandas, Scikit-learn, PyTorch, and PyMC3
Proficient SQL query and development skills
Experience with cloud environments and big data technologies (e.g., Spark, AWS)
Collaborative code development experience, including version control, unit/integration testing, code review and sharing (preferably in Git)
Experience in managing and executing large-scale, complex technical projects
Curiosity and skepticism
Excellent written and verbal communication skills
Preferred Qualifications:
Experience with big data orchestration and processing tools such Spark and Airflow etc.
Experience in containerization such as Docker and/or Kubernetes
Experience working within Agile teams
Experience in, or knowledge about, the media or TV industry

#LI-MJ1
ABOUT NIELSEN
By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Type: Regular
Primary Location:  Atlanta,Georgia
Secondary Locations: Remote, MD - Columbia, FL - Tampa - Oldsmar,
Travel:  No


Senior Data Scientist Custom Analytics

Senior Data Scientist, Custom Analytics - Remote OK - 94821
Data Science - USA Pittsburgh, Pennsylvania
Nielsen is looking for a Senior Data Scientist for the Audience Measurement Custom Analytics team. Custom Analytics is a new team within the larger Audience Measurement Product organization that is  tasked with the assessment, solutioning, development and implementation of custom studies for clients. These deliverables typically include requests for data sets and features that are on the longer term roadmap for our core products, but not immediately available for client consumption.  This includes custom deduplication of platforms that are not available in our standard product suite, the reporting of advanced audiences, and other similar requests.

As a Senior Data Scientist you will:
Utilize and develop innovative statistical modeling (and machine learning / deep learning methodologies where applicable) to enable custom audience analytics based on large volumes of data from various sources
Make decisions on the selection of methodologies, technical tools and processes that most effectively and efficiently reach the desired outcome
Manage and mentor the other data scientists on the Custom Analytics team
Work with an Agile, cross-functional scrum team to develop, validate, and optimize methodologies
Support deployment and maintenance of data pipelines and models
Design and implement strategies to automate data delivery using the methodologies developed
Stay abreast of developments in quantitative research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods
Provide support, technical guidance and training of other team members
Summarize, document, and communicate research findings to audiences of varying levels of technical subject matter expertise

What will I do?
Organize and facilitate planning across Product, Technology, Data Science resources
Maintain a roadmap for your scrum team, which encompases all work (business, technical/operational, and methodological needs) and prioritize accordingly
Drive requirements gathering & backlog grooming for all roadmap items to ensure requirements are understood by the team and work is planned in advance
Lead the execution of data science work within the scrum team and participate in agile ceremonies (Standups, Sprint Planning, Sprint Demos, Backlog Grooming, Retrospectives)
Ensure adherence to release governance practices and any required audit documentation
Build alignment on scope across all stakeholders throughout the lifecycle of product development
Exhibit expertise in your product domain (understanding the systems involved, the technical component flow, specific aspects of the methodology, etc.)
Communicate the overall status of initiatives and escalation of issues to senior leadership

Is this for me?
Master’s degree in data science, statistics, mathematics, social sciences, biological/physical sciences, computer science, or some other quantitative research field
At least 3 years research experience in a business setting
Outstanding statistical and analytical skills with experience in machine/ deep- learning techniques
Proficiency in Python
Experience with modern machine learning libraries and frameworks (e.g. LightGBM, XGBoost, PyTorch, TensorFlow, Stan, etc.)
Experience with cloud environments and big data technologies (e.g., Spark, AWS)
Collaborative code development experience, including version control, unit/integration testing, code review and sharing (preferably in Git)

Preferred
Knowledge of Bayesian inference and probabilistic programming  (e.g. Pyro)
Knowledge of Natural Language Processing
Skilled at feature engineering
Subject matter intuition for the causal drivers of media consumption
Knowledge of data visualization tools/packages
Some experience working within Agile team
#LI-MJ1
ABOUT NIELSEN
As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.
Job Type: Regular
Primary Location:  Pittsburgh,Pennsylvania
Secondary Locations: Remote, , ,
Travel:  No


Intern Ai Research Operations Research

Location: Remote U.S.A.
What is the Invitern Program?
The Invitern Program offers opportunities for students, recent grads, or those who are early in their career to develop industry skills through Invitae’s internship roles.
With each opportunity, we aim to create an experience for our interns (Inviterns!) that is enhanced by mentorship, networking opportunities, and impactful work. Throughout the duration of this program, we hope to offer a sense of community with our Inviterns and build lasting relationships. Our hope is that Inviterns become future Invitaens!
The 2022 Summer Invitern Program is a paid internship and will start June 6th, 2022 and commence August 12, 2022.
Summary Timeline
Late October 2021 - Invitern role open for applications
December 2021 - Inviterns selected
June 2022 - Inviterns start
August 2022 - Invitern Program ends
Intern - AI Research - Operations Research
Summer 2022 - AI Team - Operations Research Group
As a world-class leader in genetic diagnostics applications and research, Invitae Research is seeking candidates for internships in operations research and machine learning.
Interns will work with computer scientists and software engineers to build systems that leverage techniques such as Bayesian nets, constraint satisfaction, planning, and machine learning to solve real world problems encountered in the production lab and other areas of Invitae’s business.
Strong candidates will have several of

familiarity or expertise with graphical models / Bayesian networks
familiarity or expertise with AI planning, constraint satisfaction, and discrete optimization
familiarity or expertise with python, and willingness to learn new technologies
willingness to work on both theoretical and practical aspects of a project
strong mathematical ability, including expertise in statistics, probability, and discrete optimization

The internship will

take place remotely over 10-12 weeks in Summer 2022
provide competitive compensation for industrial computer science research internships
be supported and supervised by the AI Operations Research Group
offer opportunities for publication in an appropriate academic conference and/or journal

At Invitae, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
#LI-Remote


Data Scientist Nlp

Evisort is on a mission to change how companies interact with their most important legal documents, their incoming and outgoing contracts. The company was founded in 2016 out of Harvard Law and MIT research to develop artificial intelligence (AI) algorithms to help companies rapidly and accurately mine contracts for data. Evisort's AI understands meaning and context in legal language, virtually eliminating the need to screen contracts. Evisort helps companies to organize, understand, and extract data from their contracts. With Evisort, information locked away in documents becomes searchable, and key contract terms and important dates can be surfaced to the right people at the right time to accelerate legal review, reduce costs/risks and improve business compliance.

We are backed by some of the most prominent VCs with Microsoft being an investor in our last round of financing. Come join us and help us revolutionize a multibillion dollar industry.

The Role:
Evisort’s Data Science team is at the core of its business. We are seeking a data scientist to join our team and help with delivering and expanding our AI-powered product, on its way to revolutionizing how organizations process their legal data and operate around it.

What You’ll Do:

Build end-to-end machine learning models from the ground up, from data exploration through feature generation and model construction and deployment.
Dive deep into structured and unstructured data to extract insights, build dashboards, and create training data for machine learning models.
Contribute to advancing NLP and its applications in the legal space, to create highly innovative products and customer experiences.
Own the end-to-end lifecycle of your models and see them deliver business impact.

Skills/Qualifications:

2+ years of machine learning experience in the industry
2+ years of hands-on experience mining unstructured text data
Knowledge of deep learning architectures (e.g., RNNs, CNNs, Transformers) and a strong grasp of applications (e.g., Named Entity Recognition, Question Answering)
Strong knowledge of Python (Pandas, Sklearn, Regex) and familiarity with deep learning frameworks (e.g., Tensorflow, PyTorch)
Ability and motivation to stay up to date with the very fast-moving NLP space
Ability to communicate results clearly to technical and non-technical audiences, and a focus on driving business impact.

Evisort is an E-verify employer.  Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.


Intern Data Science

Job Requisition ID #21WD52275Position OverviewAutodesk customers make sense of the world through rich streams of data that might include 3D scans of buildings, fluid dynamic simulations, daily notes on the construction site, trends on product usage and more. As a Summer 2022 Data Science intern, you will get to apply your knowledge in data engineering, work with the latest machine learning models, and make an impact by helping our customers create a better, safer, more sustainable world.Responsibilities
Experience with data mining algorithms and techniques: GLMs, CART/CHAID, Random Forests, Gradient Boosting, Cluster Analysis, Recommender systems, Time Series Analysis, Survival Analysis, Text Mining, etc.
Proficiency with Python or R, SQL and familiarity with working in big data environments like Hadoop, Hive and Spark
The ideal candidate is a strong data scientist who thinks outside the box, is naturally curious, highly collaborative, and has a passion for tackling complex data-centric problems
Minimum Qualifications
 Must be at least 18 and enrolled in college or non-traditional education, such as coding boot camps or industry-related vocational classes and returning back to school or program following the completion of this internship
 A mix of previous internship, school project, volunteer and leadership experience
Preferred QualificationsPursuing a Masters or PhD in Statistics, Math, Computer Science, Information Science, Data Science, Analytics, Machine Learning, Physical Sciences, or a related fieldAbout the US Intern ProgramThe U.S. program runs from May through August for 12 weeks and will be remote (subject to change). All internships are paid. Interns have the opportunity to work alongside peers from universities all over the country and participate in intern events such as TED talks, mentoring, fun events, and more. US recruiting begins in the Fall and concludes end of March.About AutodeskAutodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodeskAt Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.


Data Scientist Ii Bank

Purpose of Job
We are seeking a talented Data Scientist II for the San Antonio Home Office II/III, Tampa Campus, Phoenix Campus, Colorado Springs Campus, Plano Campus or 100% Remote Work Location Available.
Within defined guidelines and framework, uses techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds).
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. In partnership with SMEs, learns to define the business problem and works with experienced data scientists to select the appropriate model.Extracts features from structured and unstructured data (internal and external).With guidance, conducts advanced analytics: predictive modeling, Machine Learning, and optimization.    Works with Data Engineering/IT partners to develop architectures for new products, services and features.Explains complex models and outcomes to colleagues who are not data scientists.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor’s degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field.  4 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.2 years of related experience and accountability for complex tasks and/or projects.Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products.Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends.Strong coding skills in the dominant scripting language (such as Python).Deep academic understanding of model assumptions.  Solid grasp of statistics and mathematics.Proficient knowledge of Data Science principals and experience with data science methodologies.
Preferred Experience:
Exposure to applying modern advanced analytics methods (predictive modeling, Machine Learning, and optimization).Fluency in Python, SQL skills to develop numerical models.Worked with Hive in Hadoop, or Spark. Snowflake a plus.Exposure to natural language processing (NLP), deep learning, computer vision.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $66,300 - $119,500*( this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Manager Senior Decision Science Analytics

Purpose of Job
We are seeking a talented Manager Senior, Decision Science Analytics for the following locations: San Antonio, TX Office or 100% Work Remote Available.
Leads and develops a highly analytical staff that provides decision support for business areas across the enterprise. By serving as a strategic partner to the business this function will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
USAA Careers – World Class Benefits (31 seconds)
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Collaborates or participates with other analytical leaders in driving the strategic direction of small- and large-scale analyses using mathematical and statistical techniques and/or innovative/quantitative analytical approaches.Develops team reputation as highly skilled experts in decision science support.Oversees and coordinates analytical tasks which include the evaluation of the business problem, analytical methodology, validation, documentation and presentation of findings and recommendations.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Provides input to additional resource needs ranging from IT investments, 3rd party support or additional analysts.Provides support for business rationale and justification for additional needs.Understands the business direction, environment, and strategies for supported domains/clients, to identify and recommend solutions which influence the business and drive change.Partners with enterprise analytics teams to build USAA core analytics capabilities and processes.Builds and oversees a team of employees for assigned functional area through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.   Serves as a mentor for mathematical skills and statistical techniques and guides teams to use the appropriate approaches, to drive fact-based decision-making.Remains informed on current trends in data and analytics, such as Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data. Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (E.g., Certifications or advanced coursework).Works with IT/CTO partners on new data and platforms that correspond to evolving skill sets.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 additional years’ work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.8 years of experience in a decision support analytic function; OR if Advanced degree in relevant discipline, 6 years’ experience in a decision support analytic function.2 years of direct team lead or management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
Preferred Experience:
Evidence of successful development and implementation of advanced analytics solutionsPrior experience working with an IT organization to implement advanced analytics solutions.Experience working in a cloud environment.Understanding of model risk governance as laid out in SR 11-7Experience with advising Senior Leadership on the development of advanced analytics solutions and long-term goals and/or strategies.Demonstrated ability to communicate ideas with team members and/or business leaders and convey very technical information to an audience that may have little or no understanding of technical concepts in advanced analytics
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $117,600 - $211,700* (this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is notavailable for this position.
#FSB


Data Scientist Risk Modeling

We are seeking an exceptional Data Scientist to help us build the company.
ROLE DESCRIPTION
In this role, you will be working as a key member of the Data Science team focused on building risk models based on infectious disease forecasts, human behavior, and government policies to help businesses and governments better manage and respond to disease outbreaks. The world now understands the importance of rigorous risk modeling in the public and private sectors, and you will be part of the early team at PHC building the future of the field. Modern data streams (genomic, mobility, search, social, etc) and modern computational techniques allow us to design, fit, and test risk models that are both more accurate and more flexible than classical approaches. In this role, you will:

Work closely with the Engineering and Product teams to build scalable mathematical modeling products that will help various entities (private and public sectors) to quantify risk based on disease outbreaks in order to tackle future epidemics/pandemics.
Provide recommendations to PHC’s customers about the best course of action based on the risk models and custom input from customers about their risk tolerance
Perform statistical analyses of model performance, robustness, and impact.
Present interpretation of results to both internal and external stakeholders who may have varying levels of technical expertise.
Provide technical and scientific guidance to PHC
Help in mentoring junior colleagues.
Write appropriate documentation and tests to ensure model code reproducibility and reusability.
Work with all levels within the company including executive leadership to bring high-performing, actionable, and trustworthy models to end users

REQUIREMENTS

Graduate degree in an analytical field such as biostatistics, statistics, mathematics, machine learning, computer science or another related field.

Experience creating, implementing, and applying risk models in at least one setting (health, insurance, cybersecurity, etc.), preferably in industry.
Deep understanding of statistical modeling approaches.
Experience using R or Python, Github, and the command line.
Strong communication skills with an emphasis on the ability to explain scientific and statistical concepts clearly.

NICE TO HAVE

Experience working with an external stakeholder on a risk and recommendations modeling project
Experience working with large datasets with a requirement to combine disparate datasets such as mobility data, electronic health records, social media data, census data, disease data, etc.
Experience with infectious disease modeling (ODEs, compartmental models, agent-based models, machine learning)
Experience with cloud computing platforms, workflow managers, and data visualization

PHC is a startup company, with the attendant excitement, energy, and opportunity for growth that a startup environment entails. The team supports remote-first employment and candidates from anywhere in the US are welcome to apply.
COMPENSATION AND BENEFITS
Compensation and benefits are competitive and include generous stock options.


Data Science Intern Summer

Reddit's University Program is ready for our next cohort of interns, and we need Data Science Interns to join our crew! Are you a beginner Data Scientist with a dream of both building models and browsing r/catsstandingup at work? You're in the right place! Reddit is in search of Data Science interns to join our Intern Program (and we guarantee you'll get to do some of both!).
Responsibilities:
Work on projects that impact the business. You'll gain exposure to how a real data science team works, from developing experiments to creating business cases.
Be mentored by experienced Data Scientists from all backgrounds. From bootcamps to universities, small to medium and large companies, you'll work with data scientists of many different experiences and levels. You'll have a formal mentor on your team guiding you throughout the summer as well!
Contribute to the betterment of Reddit, whether that be through making it easier to create content on Reddit, serving up relevant content to users, fighting evil on the site, improving our mobile apps, or a number of other projects we have in the works.
Come to work at our San Francisco or New York office, complete with catered lunch, free snacks, a rooftop terrace, and easy access to downtown SF or NYC. (Subject to change based on safety guidelines created due to the global health pandemic)
Continue making Reddit history as a part of our next intern class. Be a part of a new community, earn piles of sweet Reddit swag and get to know the city during sponsored outings over the course of the summer.
Required Qualifications:

Actively working towards a Bachelor’s, Master’s, or PhD degree in Computer Science, Data Science, Mathematics, Statistics, Physics, or related fields
Graduating between Fall 2022 and Summer 2023
Exposure to SQL programming language
Curious or driven by data analysis (strong analytical skills)

A desire to work at Reddit HQ in San Francisco or New York City over Summer 2022 (Subject to change based on safety guidelines created due to the global pandemic)

You’re over the age of 18 and authorized to work in the United States

Preferred Qualifications:

Working towards an advanced degree (Master’s or PhD)
Strong SQL and Python knowledge
Experience working at a small start up or mid-sized company

Join Reddit; help build the front page of the internet.
 #LI-Remote