Principal Associate Data Science People Analytics

Overview
West Creek 1 (12071), United States of America, Richmond, VirginiaPrincipal Associate, Data Science - People Analytics (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
As a Data Scientist on Capital One’s People Strategy & Analytics team, you’ll be on the leading edge of applying analytics to talent, combining machine learning and social science to build models that seek to understand associate behavior, and inform strategies aimed at expanding Capital One’s talent advantage.
Role Description
A data scientist on the People Strategy & Analytics team is responsible for designing and delivering modeling, as well as research and analysis in support of Capital One’s talent agenda, which includes a wide range of topics such as:
Attracting, developing, and retaining top talentEnsuring a phenomenal associate experienceBuilding a high performing, highly diverse executive pipelineMaximizing productivityRethinking how we measure talent
Human capital problems require particular attention to sample size impacts, covariance, selection bias, modeling choices, and other issues that can be the difference between highly meaningful & impactful results, and noise.  In this role, you will leverage structured problem solving approaches and data science skills to identify and deliver high impact solutions, as well as develop unique data science skills and human-capital expertise.
The Ideal Candidate is:
● Passionate about human capital: You are excited by the value we can add to our company and our associates, and are inspired to help make a large positive impact
● Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
●  Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
● Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
● Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Basic Qualifications:
● Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhD
● At least 1 year of experience in open source programming languages for large scale data analysis
● At least 1 year of experience with machine learning
● At least 1 year of experience with relational databases
Preferred Qualifications:
● Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
● At least 1 year of experience working with statistical methods: familiarity with most of experiment design, times series forecasting methods, regression (GLM and mixed GLM), ANOVA, t-tests, gradient boosting models, survival models, cluster analyses, causal inferences, principal component analysis, and SARIMA
● At least 1 year of experience working with AWS
● At least 3 years’ experience in Python, Scala, or R
● At least 3 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City:$156,595.00 - $184,748.00 for DS PhD
San Francisco, California:$165,896 - $195,720 for DS PhD
Remote roles in other areas of New York & California, and across Colorado & Washington:$132,699.00 - $156,555.00 for DS PhD
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
No agencies please.  Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace.  Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Senior Associate Data Science People Analytics

Overview
West Creek 1 (12071), United States of America, Richmond, VirginiaSenior Associate, Data Science - People Analytics (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description:
As a Data Scientist on Capital One’s People Strategy & Analytics team, you’ll be on the leading edge of applying analytics to talent, combining machine learning and social science to build models that seek to understand associate behavior, and inform strategies aimed at expanding Capital One’s talent advantage.
Role Description:
A data scientist on the People Strategy & Analytics team is responsible for designing and delivering modeling, as well as research and analysis in support of Capital One’s talent agenda, which includes a wide range of topics such as:
Attracting, developing, and retaining top talentEnsuring a phenomenal associate experienceBuilding a high performing, highly diverse executive pipelineMaximizing productivityRethinking how we measure talent
Human capital problems require particular attention to sample size impacts, covariance, selection bias, modeling choices, and other issues that can be the difference between highly meaningful & impactful results, and noise.  In this role, you will leverage structured problem solving approaches and data science skills to identify and deliver high impact solutions, as well as develop unique data science skills and human-capital expertise.
The Ideal Candidate is:
Passionate about human capital: You are excited by the value we can add to our company and our associates, and are inspired to help make a large positive impactInnovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Basic Qualifications:
Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhDAt least 1 year of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of experience with relational databases
Preferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)Experience working with AWSAt least 2 years’ experience in Python, Scala, or RAt least 2 years’ experience with machine learningAt least 2 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York City:$133,200 - $152,000 for Data Science Masters
San Francisco, California:$141,100 - $161,000 for Data Science Masters
Remote roles in other areas of New York & California, and across Colorado & Washington:$112,900 - $128,800 for Data Science Masters
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
No agencies please.  Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace.  Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


Summer Intern Consumer Insights

Job Description
Overview
Come join our passionate team as a summer intern!
As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure an engaged workforce, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.
We offer competitive benefits and pay with the potential for an annual financial award based on both individual and    enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!
Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!
Office Location: Fully Remote
Who We Are Looking For
We are looking for current graduate students who are passionate about understanding how consumers think, feel and act in the insurance and financial services space. The ideal candidate would be a researcher who has experience with quantitative research, qualitative research, or both. This includes the ability to create surveys, analyze quantitative data, and/or employ qualitative methods such as conducting one-on-one interviews and summarizing overall themes. Being able to communicate well and visualize your findings to create impact are also key.
Our Team
This position is to join the Customer Insights & Measurement (CIM) Team.  The CIM team is a strong group of 30 researchers, statisticians, and analysts who focus on planning, executing, analyzing, and sharing research that provides actionable insights about the customer experience. Those insights are used by various business partners across the company so they can make data-driven decisions. Come join a research team that takes its work seriously but has fun along the way. If you want to conduct research that truly has impact – this is the place for you!
Responsibilities
As a Customer Experience Research Intern on the CIM Team, you will:
Work with peer researchers to understand research needs and develop/execute research efforts to support those needs.Execute new primary quantitative or qualitative research to understand customer needs/expectations and improve the customer experience.Quantitative researchers: Perform statistical analyses on various data sets to explain customer behavior.Qualitative researchers: Utilize qualitative methods to understand “the why” behind customer behavior and help build compelling customer stories.Communicate complex analyses and insights in a simple and actionable way to business partners; develop creative and immersive ways to help business partners take data from insights to action. Collaborate within a fast-paced team, manage multiple projects simultaneously, think outside the box, and constantly focus on developing yourself and your skills.
Qualifications
Currently enrolled in a MS or PhD degree in a research-related field like Psychology, Statistics, Data Science, Consumer Behavior, Marketing Research, Anthropology, Design Thinking, Economics, or Marketing. Experience scoping, designing, and conducting quantitative and qualitative research.Quantitative researchers: Experience manipulating and analyzing structured and unstructured data using tools such as R, SPSS, SAS, Python, or Qualtrics.Strong written and verbal communication skills.


Senior Applied Scientist Ml Experience

About the role:
The Samsara ML Experience team builds end-to-end ML applications to power different product pillars at Samsara. As a Senior Applied Scientist, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations. You will work closely with various engineering teams across ML, full-stack, firmware as well as cross functional partners to deliver core infrastructure, services, and optimizations.
This role can be office-based or fully remote in the US and Canada.
You should apply if:

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.

You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.

You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.

You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.

You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click here to learn about what we value at Samsara.

In this role, you will:

Build and improve the accuracy of ML models, including retraining and optimizing open-source models to solve Samsara-specific problems
Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
Optimize models for inference on the backend and/or on edge devices
Partner with hardware and full-stack teams to deploy model for optimal performance and cost
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Collaborate with PM to translate customer needs to ML solutions
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

BS or MS in Computer Science or other relevant field
4+ years experience as an Applied Scientist, Machine Learning Engineer, or similar role
Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala)
Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch)
Experience deploying and iteratively refining models using customer feedback loops
Comfortable with full-stack / backend development code to build a strong understanding of underlying data structures and other dependencies

An ideal candidate also has:

Ph.D. in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
Experience building, deploying, and optimizing ML models on the edge
Experience building end-to-end ML applications from scratch
Expertise optimizing distributed model training with GPUs


Senior Data Scientist

At Janus, we believe in a world where healthcare functions efficiently. Join us on our mission to improve the lives of administrative workers and fundamentally change the way work is done. Our team is building a world-class process improvement platform to help healthcare providers generate more cash with fewer resources.Our Data Science team is committed to creating true, lasting value for our customers. On a day-to-day basis they partner with the product team to convert user stories into technical requirements, and handle data science work from start to finish. The data science team works closely with other engineering teams to ensure a complete delivery of all work, including scripts and pipelines for running models continuously. Passion for growing your skills, tackling interesting work and complex problems        5+ years of relevant work experience        Strong communication skills for technical and non-technical audiences        Knowledge of statistics/probability, machine learning, deep learning        Comfortable in Python, including libraries such as scikit-learn, tensorflow/pytorch, open-cv/scikit-image, pandas/numpy, spacy/nltk, etc        SQL and database experience        Experience with cloud environments, AWS specifically is a plus        BA/BS in Computer Science, related field, or equivalent experience  In addition, these skills would be helpful: Familiarity with unit and integration tests        Experience building deployment systems such as CI/CD and Test Automation        Experience with computer vision        Experience with Operations Research or mathematical optimization Experience with Unix/Linux  100% Company Paid Medical for employee coverage & a generous contribution for dependent coverage. Unlimited PTO which is actually used! Take the time you need to be successful. Employee Stock Options because we are building something together and want to share in the value we create Work when and where you need with our flexible schedules and environments. Save for your retirement with a 401k plan InclusivityAt Janus, we're committed to growing and empowering an inclusive community within our company and communities. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. We are an equal opportunities employer and encourage everyone to apply for our available positions, even if they don't meet every requirement — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community.We are the Shapers of CultureOur employees are our greatest asset, and we are passionate about creating strong culture with deep purpose. We are entrepreneurial and focused, yet humble, empathetic, and inclusive. We value the individual and tackle problems as a team. The best idea wins, and teams celebrate together. We are remote-first, well-funded, and growing fast!We pride ourselves on being true to ourselves and authentic. We stand on the following tenets: Ownership - everyone is a contributor and is empowered to drive improvement. Curiosity - playing and learning every day. Eagerness - demolishing barriers to building and innovating. Radical Transparency - openness in communication and decision making across the organization. Partnership over Profit - prioritizing long-term relationships. Humility - we strive to be team players, setting aside ego. Community - nurturing an environment where all employees and partners can thrive. Our team is fun, innovative, and willing to roll-up our sleeves to help each other succeed in a fast-paced environment.Disclaimer:This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.This job description does not constitute a contract of employment and Janus Health Technologies, Inc. may exercise its employment-at-will rights at any time.


Data Scientist Analytics

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
Etsy is seeking a Data Scientist to join our Analytics team and partner with Product and Operations stakeholders to drive success and enhance the fulfillment experience for both buyers and sellers.
This is a full-time position reporting to the Senior manager, Fulfillment analytics and the base salary range will be 104,000 -136,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy?
Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeawaysLearning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community
What does the day-to-day look like?
Work closely and collaboratively with senior management within the Fulfillment org to help shape Etsy’s fulfillment strategy and vision.Identify factors that contribute to providing improved shipping time estimates to our buyers Conduct various cost, speed and reliability optimization related analyses to provide tactical recommendations and actionable insights. Design and analyze rigorous experiments, help teams set great hypotheses, and deliver robust analysis of experiment resultsTransform raw data into important and impactful analysis characterized by strong data governance, technique clarity, and clear documentationOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
2+ years of experience as a data scientist or logistics/fulfillment analyst during which you extracted insights from large datasetsUnderstanding of experimentation and statistical analysis of experimental data Experience in Logistics in an e-Commerce setting is a plusMastery of SQL, and experience with R/Python and other scripting/automation techniques; bonus points for experience with network analysis & modeling and/or carrier contract modelingWorking knowledge of speed, reliability and cost tradeoffs in an ecommerce or online marketplaces setting is strongly preferred.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Data Science Intern

In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.
While much has changed since then, the importance of numbers in building great technology remains. We’re looking for Data Scientists who can spend a summer internship building our analytics engine by making meaning from data and identifying opportunities for improvement.
In this internship, you’ll work alongside data scientists, product managers, engineers, marketers and designers to inform how we invest in and build Mercury’s future. You’ll be early to building a data-informed culture across Mercury so that we can all determine what's happening, react quickly, and invest intelligently.
Here are some things you’ll do on the job:

Understand funnels, usage patterns, and long term trends to identify opportunities to improve Mercury’s products.
Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
Create dashboards that support the day-to-day operations of different product and functional teams, including growth, compliance, finance and marketing
Build data structures that enable self-serve analytics and empower teams to do their own analyses
Assess risk and tradeoffs of different approaches in solutions for Growth, Product, Compliance, or other important areas of the business.
Influence and partner with engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury.

You should:

Be enrolled in a graduate program obtaining your masters in business administration, statistics, data science, or other related studies.
Have 1+ years of experience using data to deliver insights and inform decisions, using analytical concepts like funnels, A/B testing, regression and user segmentation
Have experience with SQL, and other statistical programming languages (e.g. Python, R, etc.).
Have familiarity with data pipelines and dashboards
Have the ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership

This is a paid full-time remote summer internship for 10-12 weeks between May-August. Our internship program is intended for individuals enrolled in an academic program (undergraduate, graduate, MBA, etc.). Individuals interested not enrolled in an academic program at this time are encouraged to apply to any of our full-time openings.
In terms of compensation, the hourly rate for candidates based in the US is $50 USD. The hourly rate for candidates based in Canada is CAD 50.#LI-DNI


Senior Data Scientist Nlp

This position can be based in London or Madrid. Remote options are available as well across the EU.At Clarity AI, we are committed to bringing social impact to markets. We are a tech company started in 2017, leveraging AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets.We are now a team of more than 300 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as BlackRock, Deutsche Börse and Softbank who believe in us and share our goals. We have plans to continue growing our teams in Spain, the UK and the US this year so if you would like to join us on this rocket ship, keep reading!What are we looking for?We like data scientists that work with data in a scientific way and that share our passion for bringing social impact to the markets and making a difference. At Clarity you will help develop the “gold standard” to quantify social impact that will be used by investors, consumers and governments: Use state of the art NLP tools, including the latest large language models, to efficiently extract, classify, and generate sustainability information  Working side-by-side with a top-talent team from business and academia. As the ideal candidate for the position: >4 years of working experience as a Data Scientist, 2 years experience with NLP You excel at problem solving: Clarifying the nature of a problem and formulating relevant questions. Breaking down a problem into smaller, more manageable parts, creating business value every step of the way. Deciding among possible solutions in a critical way. Implementing actions and evaluating outcomes in a quantitative way.   You have strong communication skills. The right candidate can thrive in an environment of asynchronous conversation, since a part of the Clarity team is based outside Europe. We expect you to have strong communication skills and be able to create working relationships with coworkers across various locations. You possess and know how to share technical expertise: Practitioner of modern NLP tools and techniques for classification, extraction, summarization, regression etc Proficiency in standard tools Preferred Python and its data science ecosystem (spacy, nltk, Hugging Face, OpenAI, etc). SQL and noSQL databases   and techniques: Data processing and cleaning Working with limited labeled data and humans in the loop Fine tuning and stacking of models Regression, classification, clustering and other standard algorithms.   Bonus points if you have experience in Deploying big data technologies like Spark or Dask Using pipeline orchestration tools like Airflow Work experience in a software company / using software best practices in your day-to-day work     You have a start-up way of working: Self-motivation and drive to succeed. Getting-the-job-done mentality. Learn by doing, all the time.   Authorized to work in Europe / UK Responsibilities of the role include You are expected to expand the technical expertise of our current NLP team.  You will share that expertise by both providing technical guidance to the team and mentoring junior members. Day-to-day, you will have freedom to research, design, validate, and deploy NLP models to improve our current NLP systems. - WHAT WE OFFER:People are one of Clarity’s main assets. We have built a unique team and we all share 3 differential aspects: Excellence, Passion and Values. The team comprises professionals from leading consulting and banking firms, MBA graduates from top business schools, entrepreneurs and researchers and PhDs. Clarity’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur who has been recognized as one of the most distinguished leaders under the age of 40 by prestigious institutions like the World Economic Forum. We are different. We work hard to become the best place to work and pride ourselves on our culture: Fact based: Promoting objective, fact-based and solution-oriented discussions. Diverse: Encouraging diversity of personalities, cultures and experiences. Transparent: Communicating feedback transparently, constructively and in real-time. Meritocratic: Striving for excellence and rewarding the best. Flexible: Working flexibly in the broadest sense (schedule, location, vacation, styles). Clarity AI believes diversity, inclusion, and belonging are essential for creating an innovative and successful workplace. Thats why we created our own ERG groups. Our own ERG groups act as a voluntary employee resource group, they commit to promoting these values and creating a safe and supportive community for all employees. They are committed to creating a workplace that champions sustainability, diversity, equity, and inclusion (DEI).To do this, they will advocate for sustainability initiatives, host and participate in events, workshops, provide a safe space for employees to share their experiences, ideas, and solutions, and collaborate with other departments and employee groups to improve the company's sustainability goals.By actively promoting and engaging in sustainability efforts, we can help create a more equitable and resilient future for our planet and all its inhabitants.We care about our employees. We think that every effort has to be rewarded and want them to feel comfortable with us. ESOP/ Phantom stock: We want our employees to really feel part of Clarity. That’s why we give them the opportunity to participate in our success with ESOP or phantom stock options. Training budget: Continued learning is important to us so we provide everyone with a yearly training budget. Amazing office in Madrid: We are located at Paseo de la Castellana 43 28046 Madrid Floors 5th and 6th floors. We are a US company with a Spanish and London subsidiary. We have offices in NY, London, Abu Dhabi and Madrid, and a remote culture.Our investors believe in us and share our goals. We are a leading startup thanks to public and private funding.Clarity has received several awards: Young Global Leader to Rebeca Minguela 2017. Top 10 Fintech startup worldwide by BBVA Open Talent. Top 2 start-ups with impact worldwide by IMPACT Growth 2017. One of the most innovative Spanish companies by NeoTec. One of the most innovative projects in the US. Harvard Innovation Lab.


Staff Applied Research Scientist Behaviors

We're Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work.
Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.
The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment. This includes working on a variety of really exciting problems such as:
Building a globally consistent prediction of what all different nearby agents (like other cars, buses, animals, pedestrians) are going to in the next few seconds
Generating safe, comfortable and feasible trajectories to navigate dynamic urban environments
Scoring and selecting the optimal trajectory, optimizing across many dimensions such as safety, comfort and customer experience.
The Behaviors teams work closely with our Perception partners to get data from a variety of sensors, with rich attributes, simulation data, high-fidelity maps, etc, all of which is necessary to build the above technologies. We also collaborate with Robotics and Controls partners to enable the car to follow the planned path accurately.
As a Staff Applied Research Scientist, you drive the research projects that address the everyday challenges that happen on urban roads, ones that do not have standard solutions available. On a day-to-day basis, you will:
What you’ll be doing:
Formulate problems; initiate and lead technical projects
Explore, prototype, validate, and iterate new algorithms
Support productizing and deploying solutions to robot cars
Considered one of the technical leaders of the department who guides current and future technology choices
Have a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company’s need
Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into
Capable of influencing others and building consensus even over contentious technical debates
What you must have:
PhD / MS degree in machine learning or a related field with research publications in top conferences or journals; alternatively equivalent years of industry experience solving ML problems without readily-available solutions
Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
Extensive experience with machine learning and classification
Strong programming skills in Python or C++
Excellent mathematical reasoning skills, especially with probability
Passionate about self driving car technology and its impact on the world!
Bonus points!
Experience with ROS, OpenCV, Gazebo, or PCL
Experience with CUDA
Track record in deploying prediction models into real world environments
Experience with autonomous driving technologies
The salary range for this position is $193,900 - 285,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.
Why Cruise?

Our benefits are here to support the whole you:

Competitive salary and benefits
401(k) Cruise matching program
Medical / dental / vision, AD+D and Life
One Medical membership
Subsidized mental health benefits
Flexible vacation and company paid holidays
Healthy meals and snacks provided for non-remote employees
Paid parental, jury duty, bereavement, family care, and medical leave
Fertility Benefits
Dependent Care Flexible Spending Account, subsidized by Cruise
Flexible Spending Account
Monthly wellness stipend
Pre-tax Commuter Benefit Plan for non-remote employees
CruiseFlex, a working policy for US-Based Cruisers, lets you and your manager find the working style that’s best for you, whether it’s primarily in-person, primarily at home, or a combination of home and in-office time. - learn more about CruiseFlex here

We’re Integrated

Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded

GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

We’re Independent

We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.

We’re Vested

You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow. We offer a new kind of equity program called Recurring Liquidity Opportunity (RLO), which combines IPO-like liquidity with the stability of remaining private - learn more about RLO here

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email HR@getcruise.com.
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.


Data Scientist Us

ABOUT USDo you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 900 diverse member colleges & universities using the Common App's free online application.  If you are an experienced Data Science professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Data Scientist. RESPONSIBILITIESThe Data Scientist position is charged with helping to build the organization’s evolving data analytic and research function. Reporting to the Senior Manager, Data Operations, the individual will be engaged with all aspects of the research function, from oversight of data warehousing to the development of internal and external (member) facing business intelligence tools, to the producing analyses, and reports in support of organizational priorities and strategic initiatives.QUALIFICATIONSThis role requires: Candidates must live in the United States. Bachelor’s degree and 3-5 years related experience: data reporting, SQL, database architecture, ETL procedures, data analytics, data mining, data operations, and data quality. Or an equivalent combination of education and experience.  Fluent data manipulation and coding with tools such as SQL, Python, Tableau, and R. Experience working with and validating imperfect data. Experience with descriptive and inferential statistics.  Experience working with National Center for Education Statistics, Census, College Scorecard, and other publicly available datasets. Project work in designing and implementing data warehousing, reporting, and analytic systems. Strong interpersonal skills and service orientation. Proven ability for communicating data and research findings to non-technical audiences. Ability to work effectively in a collaborative and diverse environment.    The ideal candidate will possess: Master’s or doctorate degree in a quantitative discipline and at least one year of related experience. Experience with data visualization (Tableau, R preferred). Experience with AWS Athena, Redshift, Sagemaker, and S3.  Understanding of the strategic context of Common Application’s role in the higher education industry.  A passion for higher education is a plus. Common App is a virtual first environment. We value our employees’ time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including:  Paid time off Vacation Leave (starting at 10 days per year) Sick Leave (15 days per year) Paid Holidays (New Year’s Day, Martin Luther King Jr. Day, Memorial Day, Juneteenth, July 4th, Labor Day, and Thanksgiving Day) Floating Holidays (9 days to be used at employee’s discretion)   Healthcare Medical (2 plan options with Cigna including an option for 100% employee coverage) Health Savings Account (HSA) with annual employer contribution starting at $1,500 or Flexible Spending Account (FSA), depending on plan election Dental (plan with MetLife offering 100% employee coverage) Vision benefits (plan with Cigna offering 100% employee coverage) Short + Long Term Disability (100% employer paid) Life + AD&D (100% employer paid) Additional Voluntary Life + AD&D insurances available Employee Assistance Program (EAP)   Added compensation 403(b) Retirement Plan with 5% employer contribution + additional 5% employer match Stipends (virtual office set up and monthly remote work support)   Future growth opportunities within the organization We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLYTo apply for this opportunity, send your resume and cover letter with salary expectations.


Senior Data Scientist Machine Learning

Overview
Bungie is seeking a Senior Data Scientist to join our newly formed Machine Learning team.  Reporting to the Director of Machine Learning, you will scope, prototype, and deploy machine learning models that will support initiatives across our organization.  In this role, you will directly support the Bungie Network Operations Center (BNOC) in their work to maintain our datacenter and mission critical operations.
As part of the Bungie Analytics & Insights team, you will join a diverse team of analysts, data scientists, data engineers, and researchers.  You will leverage your expertise in data analysis, data science, and engineering to build services in support of operations management and create internal tools that empower Bungie teams to continue doing what they do best. Most importantly, your work will be essential to creating unmatched entertainment experiences designed to inspire friendships and lifelong memories.
RESPONSIBILITIES
Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
Develop and deploy machine learning services end-to-end in a cloud environment
Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
Develop, deploy, and maintain machine learning services end-to-end in a cloud environment
Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
Communicate the results of your analyses to both technical and non-technical colleagues
NICE-TO-HAVE SKILLS
Advanced degree in Computer Science, Statistics, Machine Learning, or a related field
Experience working within a variety of different technical environments
Experience with Tableau or similar data visualization tool
A love of games
Listed below is this role's base pay range. In other locations that Bungie has approved for remote work, this pay range may be adjusted up to +/- 10% and some roles may be classified as non-exempt (hourly).
This range is determined by an array of factors, including training, transferable skills, work experience, business needs, and market demands. Additionally, it is subject to change and may be modified in the future.
In the journey to make incredible worlds, Bungie employees don't simply do meaningful work - they receive meaningful support. Competitive salaries and discretionary bonus opportunities are just the start. We offer comprehensive healthcare coverage, generous 401(k) matching, flexible time off policies, paid parental leave, social clubs, and so much more. Check out our benefits page:Benefits - Bungie Careers to see all the perks that come with joining Bungie.
Washington State Pay Range
$160,000—$189,000 USD
Bungie full-time employees in the U.S. also receive:
20 days of accrued time-off in the form of PTO and sabbatical days, depending on the level of the position
10 paid Floating Days annually, prorated in the first year of employment based on start date
10 paid Bungie-observed holidays annually
One hour of Paid Sick Time (PST) for every 30 hours worked
International FTE employees receive competitive benefits.
So you don't meet every requirement listed in this job description? Do you think your experience level is not where it needs to be? Studies show that women and people of color are less likely to apply to jobs unless they believe they meet every single qualification. Bungie is focused on building a diverse, inclusive, and equitable workplace. If you're interested in this position but your past experience doesn't line up perfectly with every qualification in the job description, we want you to apply anyway. The right role for you may be right around the corner!
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.


Principal Data Scientist New Initiatives

Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission?  What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox?  As a Principal Data Scientist for this new division, you will exactly get to do that.  You will be able to drive the future direction of this new initiative and answer key questions about revenue/user growth.  You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this lead to build a top-tier data-informed culture with a lot of focus on impact and execution!
Responsibilities

You will serve as the data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approach

You will partner closely with leadership across all functions - Product, Engineering, Design, Research, GTM, Customer success and Sales

You will have the seat at the table for every key decision for this new initiative

You will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our organization’s long-term growth

You will mentor and coach DS in our team and create an effective working model system between DS and XFNs

You will create a culture of strong technical ownership, resulting in highly reliable products and services at scale

You will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps

You will perform analytical deep-dives to analyze user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques

Requirements

Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field

10+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company

3+ years serving as a technical leader to work with data scientists, engineers, product managers, user researchers, and designers

Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impact

Ability to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmap

Ability to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impact

Good Executive presence with excellent verbal and written communication skills

Previous experience building data driven programs and teams - proficient with SQL, Python and experiences with large datasets, deep understanding of statistical analysis & experiment design

Previous experiences coaching and mentoring Sr data scientists to scale the team productivity

Total Rewards

For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $246,500 - $290,000 - $333,500.
For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $221,000 - $260,000 - $299,000.
For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $196,400 - $231,000 - $265,700.
Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).


Staff Data Scientist

Lily AI is the product attributes platform that injects the language of the customer across the existing retail stack, accurately connecting shoppers with the relevant products they're looking to buy. We drive 8-9 figure revenue uplift for retailers and brands by dramatically improving their on-site search conversion, relevant product recommendations, SEO/SEM, item set-up, and demand forecasting.
We use robust Computer Vision and NLP technologies to analyze a retailer's product catalog, then inject customer-centric attributes across the breadth of their existing retail stack to drive immediate relevance and connect those products with the buying objectives of customers. 7 of the top 25 fashion retailers in the world already work with Lily AI to deliver millions in top- and bottom-line revenue impact
The company is a female-founded startup headquartered in Mountain View, CA, and is backed by Canaan Partners, Conductive Ventures, Sorenson Capital, NEA, Fernbrook Management, and Unshackled Ventures, among others.
Please note the following states we are currently hiring from:

California
Florida
Georgia
Illinois
Massachusetts
Minnesota
Nevada
New Jersey
New York
North Carolina
Rhode Island
Tennessee
Texas
Virginia
Washington
Utah
Arizona

Why is this exciting to you?

Utilize quantitative analysis techniques to analyze large data sets and generate meaningful insights to inform decision-making.
Collaborate with various internal teams, including Product and Engineering, to implement standard experimentation methodologies and designs.
Continuously evaluate our experimentation platform to ensure that we measure the appropriate business metrics, apply statistical best practices, and achieve positive business outcomes.
Conduct a comprehensive analysis of metrics lift using causal-inference methods and innovative approaches, and communicate your findings to stakeholders and senior management.
Develop statistical models to gain insight into customer behavior and the factors that impact experimentation results.
Foster a spirit of curiosity, and strive to identify emerging trends and insights to help us enhance the customer experience and grow the business.

What we are looking for:

4+ years of relevant work experience as a Data Scientist.
Masters or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
Strong understanding of statistical techniques, such as regression models, significance testing, power calculations, and causal inference. Advanced training in statistics is preferred.

Proven experience designing metrics and creating systems to generate actionable business insights.
Proficiency in SQL and at least one scripting language, such as Python or R.
Familiarity with data visualization tools like Tableau, Superset, or similar platforms.
Exceptional attention to detail and analytical skills, with the ability to detect and diagnose anomalies, errors, or issues.
Excellent communication and presentation abilities, capable of effectively conveying complex quantitative analyses to engineering or executive-level stakeholders in a clear and concise manner.
Experience with eCommerce Analytics or AB Testing platforms is a plus.
Experience in data engineering is a plus.

Compensation:
Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $140,000 - $210,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.


Staff Data Scientist Inference Marketplace

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Airbnb is a global platform that connects travelers and hosts from over 81,000 cities. Our mission is to enable a world where anyone can belong anywhere. To ensure the success of our mission we need to build a platform where guests and hosts can trust one another and trust Airbnb to be a reliable, high quality platform for exceptional travel experiences.
The Difference You Will Make:
The Marketplace Intelligence and Forecasting Data Science team works to measure and forecast the balance between supply and demand in our marketplace and provide insights into how we can increase the value created in our marketplace.
A Typical Day:
We are looking for a passionate data scientist to work centrally within the team, with an initial focus on:
Measuring guest preferences.
Identifying opportunities for matching the supply on our platform to the preferences of guests; valuing the benefits from such opportunities.
Partnering cross-functionally with product, engineering, and operations, as well as with other data science teams, to implement models that drive product development and supply acquisition.
Providing technical mentorship to other data scientists, ensuring a high level of scientific rigor.
Your Expertise:
9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
Expert in at least one programming language for data analysis (Python or R) and SQL
Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
Proven ability to succeed in both collaborative and independent work environments
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Preferred unique skill-sets:
Experience estimating demand systems
Experience with non-experimental causal inference methods
Experience with an ETL framework like Airflow
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $180,000 and $245,000. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Apply now


Sr Data Scientist Model Risk Management

 RESPONSIBILITIES:

Perform independent model validation, annual model review, ongoing monitoring report review, required action item review/closure on the cutting-edge machine learning models.
Produce high-quality model validation reports, highlighting risks and limitations of the model in a concise manner.
Communicate to business audiences through verbal and written presentations describing the results of the validation findings and mitigation actions.
Work closely with business owner's/model users and developers to understand the business context for model use and facilitate the model approval process.
Stay up to date with regulatory expectations of model development, use, and validation activities.
Support Oportun’s the model risk management framework, including annual validation plans, model inventory, model risk ranking, and model risk governance.
Develop and maintain effective partnerships with key model stakeholders.
Support the coordination of model risk governance practices with the model users.
Attention to detail in both analytics and documentation. Qualifications

QUALIFICATIONS:

Master’s degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor’s degree with significant relevant experience will be considered).
3+ years of practical quantitative programming experience with Python, R, and SQL.
3+ years of experience in financial or credit risk modeling or validations.
Experience and knowledge of supervised and unsupervised machine learning methodologies, such as GBM, XGBoost, and NLP.
Excellent written and oral communication skills.
Strong stakeholder management and project management skills.
Good team player and willing to help and share.

#LI-MM1 #LI-Remote

The US base salary range for this full-time position is $90,000- $139,500
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position. Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.
Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits


Senior Research Scientist Wgu Academy

If you‚Äôre passionate about building a better future for individuals, communities, and our country‚ÄĒand you‚Äôre committed to working hard to play your part in building that future‚ÄĒconsider WGU as the next step in your career.Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.¬†Who is WGU Academy?At WGU Academy, we work collaboratively to dramatically impact college and workforce readiness efforts on a large scale. WGU Academy uses a data and research-driven, evidence-based approach to learning, and the organization has a healthy respect and passion for research and analytics. Our primary mission is to develop and deliver new solutions for college and career readiness to tens of thousands, even hundreds of thousands, of individuals.This is a fully benefited, remote position that can be located anywhere in the 48 US States.Why consider us?
Fully remote position where you‚Äôll make a difference in a mission-driven environment.
Equipment provided: Choice of Mac or PC laptop
Comprehensive and affordable benefits (including mental health benefits, and generous PTO) plus 403b matches and contributions where we put money into your retirement account, even if you‚Äôre not contributing.
75% employee tuition discount available at WGU for yourself, and 50% discount for qualifying family members.
Innovative, fun, and enriching team environment where are you valued, given credit where it‚Äôs due, and recognized for your contributions.
Collaborative and cross functional team, where good communication is prioritized.
What will you be doing?As a Senior Research Scientist (with a focus in Product Interventions) with WGU Academy, you‚Äôll work on real-world problems and use data to identify different levels of learner readiness and inform the building of within-course and within-program interventions to scaffold their achievements. We care about the learner holistically, and are particularly interested in noncognitive and metacognitive interventions that can be widely implemented to have high impact.At WGU Academy, you‚Äôll have the opportunity to work with and learn from students all across the country, many of whom come from populations that have been historically underserved in higher education. For example, this includes multi-lingual learners seeking an English-language credential, people who are the first in their family to pursue a degree, and frontline workers in food services and healthcare. These learners have different motivations and goals, possess differing levels of prior knowledge, and exhibit different learning and study behaviors. Your work will directly help us understand, interact with, and serve our learners better.You‚Äôll execute the full life cycle of a study, including conceptualization of an idea, review of the literature, primary data collection, accessing our database to obtain the data, data wrangling, performing the most appropriate quantitative and qualitative analysis and reporting the results.As a thought leader for research at WGU Academy, you‚Äôll interact with analysts, academic leaders, curriculum design experts, and other researchers across the organization to continuously experiment, theorize, analyze, and improve learner outcomes.Who will you be helping?Findings about learners and their experiences are used immediately and lead to direct, actionable interventions and changes to help current and future learners succeed. Your research will shape marketing, enrollment, and learning experiences for individual learners who have traditionally been underserved in Higher Education.Who are you?You‚Äôre inquisitive and have the desire to innovate and test ideas in an environment where iteration is encouraged and expected. You enjoy working at a fast pace on projects that have clear-cut deadlines and objectives, and follow a 2-3 week sprint cycle. You love working with data, and are excited about creating and improving learning experiences for our learners. You have a passion for serving learners from a variety of socioeconomic contexts, and are excited to shape their learning trajectory.How is success measured?We‚Äôve built out a training plan so you can familiarize yourself with the ongoing research projects at WGU Academy, previous key findings, and all our data. Once you‚Äôre up to speed with our research and data, success will be measured against the number of deliverables, the speed of generation, and quality of your findings.Essential Functions and Responsibilities:
Plans and executes research projects through design, data collection, analysis, and dissemination.
Determines appropriate research methods including implementations studies, qualitative research, secondary data-analysis, quasi-experimental studies, and randomized controlled trials.
Collects, combines and cleans data from multiple sources.
Analyzes data, using statistical software and techniques.
Designs and deploys surveys using software.
Produces high-quality, client-facing reports and presentations.
Represents WGU Academy by presenting at relevant conferences and publishing in appropriate journals.
Designs the Academy evaluation plan and assists with reporting.
Knowledge, Skills, and Abilities
Expert ability to independently define and conduct original scientific research.
Data manipulation using programming languages like R, SQL and Python.
Data visualization skills using tools like Tableau, R, and Python.
Deep experience with quantitative and qualitative primary research methods.‚ÄĮ
Proven ability to lead research projects including cost, resource, schedule management, compliance and reporting.
Excellent written, oral, presentation, and interpersonal skills.‚ÄĮ
Exceptional ability to communicate research results and key ideas to lay and scholarly audiences.
Ability to demonstrate and apply appropriate intellectual curiosity, skepticism, and technical aptitude in the work assigned
Ability and drive to continuously learn to improve scientific acumen skills to increase productivity.
The ability to be a subject matter expert to provide thought leadership in the field.
Thrives by working collaboratively and creatively in a fast-paced environment.
Strong attention to detail and exemplifies pride and ownership over the quality of our learning experience.
Ability to foster strong relationships within the team and external stakeholders.
QualificationsMinimum Qualifications:
Master‚Äôs degree in behavioral or cognitive psychology, learning science, educational psychology, social and learning psychology, or a closely related field
5+ years of professional/project experience in scientific research (quantitative and qualitative)
Experience in data analytics, including using programming languages (R, SQL, Python), and data visualization tools (R, Tableau, Python)
Preferred Qualifications:
Experience in higher education, and/or educational technology research
PhD in related field
Working ConditionsTravel up to 10%RemoteWGU Academy, Inc is an affiliated non-profit entity of 501c(3) Corporation of Western Governors UniversityAs an equal opportunity employer, WGU recognizes that our strength lies in our people. We are committed to diversity.


Research Scientist Wgu Academy

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. Who is WGU Academy?At WGU Academy, we work collaboratively to dramatically impact college and workforce readiness efforts on a large scale. WGU Academy uses a data and research-driven, evidence-based approach to learning, and the organization has a healthy respect and passion for research and analytics. Our primary mission is to develop and deliver new solutions for college and career readiness to tens of thousands, even hundreds of thousands, of individuals.  This is a fully benefited, remote position that can be located anywhere in the 48 US States.Why consider us?
Fully remote position where you’ll make a difference in a mission-driven environment.
Equipment provided: Choice of Mac or PC laptop
Comprehensive and affordable benefits (including mental health benefits, and generous PTO) plus 403b matches and contributions where we put money into your retirement account, even if you’re not contributing.
75% employee tuition discount available at WGU for yourself, and 50% discount for qualifying family members.
Innovative, fun, and enriching team environment where are you valued, given credit where it’s due, and recognized for your contributions.
Collaborative and cross functional team, where good communication is prioritized.
What will you be doing?As a Research Scientist (with a focus on Behavioral Economics) with WGU Academy, you’ll work on real-world problems and use data to identify different learner attributes and inform the building of interventions to promote attainment.At WGU Academy, you’ll have the opportunity to leverage technology to identify how the principles of coaching, motivational interviewing, and decision-making can be applied to promote positive and lasting change in learners’ educational journeys. Our learners have different motivations and goals, possess differing levels of prior knowledge, and exhibit different learning and study behaviors. And you’ll serve as the expert in understanding how to maximize their motivation and strengthen their outcomes. In short, your work will directly help us understand, interact with, and serve all our learners better. You’ll execute the full life cycle of a study, including conceptualization of an idea, review of the literature, primary data collection, accessing our database to obtain the data, data wrangling, performing the most appropriate quantitative and qualitative analysis and reporting the results. You’ll also help identify new markets & customers, and help guide them to educational success. As a thought leader for research at WGU Academy, you’ll interact with analysts, academic leaders, curriculum design experts, and other researchers across the organization to continuously experiment, theorieze, analyze, and improve learner outcomes.Who will you be helping?Findings about learners and their experiences are used immediately and lead to direct, actionable interventions and changes to help current and future learners succeed. Your research will shape marketing, enrollment, and learning experiences for individual learners who have traditionally been underserved in Higher Education. Who are you?You’re inquisitive and have the desire to innovate and test ideas in an environment where iteration is encouraged and expected. You enjoy working at a fast pace on projects that have clear-cut deadlines and objectives, and follow a 2-3 week sprint cycle. You love working with data, and are excited about creating and improving learning experiences for our learners. You have a passion for serving learners from a variety of socioeconomic contexts, and are excited to shape their learning trajectory.How is success measured?We’ve built out a training plan so you can familiarize yourself with the ongoing research projects at WGU Academy, previous key findings, and all our data. Once you’re up to speed with our research and data, success will be measured against the number of deliverables, the speed of generation, and quality of your findings.Essential Functions and Responsibilities:
Plans and executes research projects through design, data collection, analysis, and dissemination.
Determines appropriate research methods including implementations studies, qualitative research, secondary data-analysis, quasi-experimental studies, and randomized controlled trials.
Collects, combines and cleans data from multiple sources.
Analyzes data, using statistical software and techniques.
Designs and deploys surveys using software.
Produces high-quality, client-facing reports and presentations.
Represents WGU Academy by presenting at relevant conferences and publishing in appropriate journals.
Designs the Academy evaluation plan and assists with reporting.
Knowledge, Skills, and Abilities
Expert ability to independently define and conduct original scientific research.
Data manipulation using programming languages like R, SQL and Python.
Data visualization skills using tools like Tableau, R, and Python.
Deep experience with quantitative and qualitative primary research methods.
Proven ability to lead research projects including cost, resource, schedule management, compliance and reporting.
Excellent written, oral, presentation, and interpersonal skills.
Exceptional ability to communicate research results and key ideas to lay and scholarly audiences.
Ability to demonstrate and apply appropriate intellectual curiosity, skepticism, and technical aptitude in the work assigned
Ability and drive to continuously learn to improve scientific acumen skills to increase productivity.
The ability to be a subject matter expert to provide thought leadership in the field.
Thrives by working collaboratively and creatively in a fast-paced environment.
Strong attention to detail and exemplifies pride and ownership over the quality of our learning experience.
Ability to foster strong relationships within the team and external stakeholders.
QualificationsMinimum Qualifications:
Master’s degree in behavioral economics, IO psychology, decision theory, positive psychology, cognitive psychology, or a closely related field
3+ years of professional/project experience in scientific research (quantitative and qualitative)
Experience in data analytics, including using programming languages (R, SQL, Python), and data visualization tools (R, Tableau, Python)
   Preferred Qualifications:
Experience in higher education, and/or educational technology research
PhD in related field
  Working Conditions   Travel up to 10% WGU Academy, Inc is an affiliated non-profit entity of 501c(3) Corporation of Western Governors University As an equal opportunity employer, WGU recognizes that our strength lies in our people. We are committed to diversity.


Director Data Science Pl Us Auto Pricing Design

Job Summary:
The Product Design and Modeling team has an opening for a Director, Data Science position that will drive pricing sophistication for personal auto products. Auto Pricing Models are a high profile and exciting area where we are able to apply creative problem-solving skills and have a major impact on business results for Liberty Mutual’s largest insurance product. The role will report directly to an Auto Design Channel Lead and manage a team of 4–6 direct reports, potentially in multiple locations but also have opportunities to work on projects across personal and business lines as well as globally in partnership with the East & West Design team
Responsibilities:
Lead the build of complex loss cost models across US Auto products and related pricing areas
Build and develop a team of best-in-class modelers
Establish yourself as a self-driven leader, providing both strategic and tactical direction in the US Personal Lines Auto space
Drive research and innovation in modeling and data science techniques to improve our accuracy, efficiency, and speed to market
Explore and utilize advanced modeling techniques
Work with massive amounts of data (e.g., 200 million records for our Liberty-brand Auto product) to build sophisticated models
Build strong relationships with leaders across the organization to maximize the impact of our product builds and to help implement new pricing programs into market every 12 to 18 months
Job Specifications:
Reference:  2023-57615
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$178.10-–-$234,300.00-/-Year
Education Level:
 Travel: As Needed


Assistant Director Director I Data Science Machine Learning Innovation

The world is constantly changing, and the way people move, live and conduct business is evolving at a rapid pace. This presents an opportunity to expand and grow our offerings, while also reinventing them for the future of mobility, shelter, and commerce.  Solaria Labs is a global team that explores how trends will shape and shift the future and partners with teams across Liberty Mutual to develop new innovative products to protect our customers in a rapidly changing world. (www.solarialabs.com)
The Role
As a Data Scientist in Solaria Labs, you will be part of a team working on challenging problems by developing innovative solutions by using state-of-the-art machine learning techniques related to computer vision, natural language processing (NLP), and Human-in-the-loop algorithms, among others.
Responsibilities:
Develops, customize novel machine learning algorithms for insurance-related applications.
Able to Understand state-of-the art machine learning algorithms from the literature.
Communicate complex concepts related to machine learning to stakeholders with varied backgrounds.
Mentors a serves as a tech lead for a team of data scientists and advanced analytics staff.
Collaborates with business partners to develop tools and solutions using advanced machine learning techniques.
Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction.
Supervises and performs highly complex, technical and creative predictive analytics projects.
Regularly engages with the data science community and leads cross-functional working groups.
Please note this posting is open to multiple locations or remote. Compensation will vary based on location, experience and education.
Job Specifications:
Reference:  2023-54202
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$135,000.00-–-$216,000.00-/-Year
Education Level:
 Travel: As Needed