Data Scientist

What we do
Uptake is the premier Industrial Intelligence company, providing industrial analytics and data software-as-a-service (SaaS) that empowers major industry leaders to optimize performance, reduce asset failures, and enhance safety. At Uptake, we combine our strengths — machine learning, analytics, data visualization, and software development — to deliver actionable insights that make the industry more reliable, productive, safe, and secure.
What Data Scientists Do Here
Data science is at the core of what we do at Uptake. We collaborate with engineering, UX, product, and other teams to contribute insights and data science best practices to all parts of the business.
Typical day to day tasks for a data scientist might include:

Collaborate with teams to analyze problems
Build, test, and deploy supervised or unsupervised learning models
Write data analysis reports for internal use
Build tools to enable other data scientists to scale their knowledge and increase impact
Work with customers to develop analyses that help them solve business problems and drive value
Learn a new programming language or data science technique - we continually build our skills and explore new things.

What We Are Looking For

Passion for data science! We want candidates who love data science and are excited about what they do.

Some ways previous successful candidates have demonstrated this are:

Expressing detailed knowledge of and genuine interest in Uptake’s unique methods, products, data, and technology within a cover letter.
Active participant in relevant online communities
Recognized via professional or academic awards (example: Most Valuable Employee, scholastic grants)
Actively writes relevant blog posts and/or articles

Ability to write sophisticated machine learning and data analysis code in python or R

Some ways previous successful candidates have demonstrated this are:

By describing a data science model they developed that is deployed in a live setting within a resume or cover letter
Made a high quality data science project available in a public forum like GitHub or Kaggle
Contributing to influential Open Source Projects like sklearn, XGBoost, tidyverse, Tensorflow, pytorch, Kafka, Spark, Elasticsearch etc.
Published work in Data Science related journals or conferences such as ICML, NIPS, JML, KDD, and INFORMS

Experience communicating effectively with people at all levels of an organization. Our data scientists regularly share complex insights with all kinds of people.

Some ways previous successful candidates have demonstrated this are:

Elaborating in a cover letter or resume ways that they have professionally collaborated with others in the organization and the impact that collaboration had on the organizations KPIs
Teaching data science to non-data scientists in an academic or professional setting

Bachelor's degree or higher in a quantitative or relevant field
Candidates must be authorized to work in the US.

Nice to Have

Internship experience in an analytics-focused role
Experience working with IoT systems, ranging from DIY home projects to industrial IoT deployments
Have made substantive contributions to open source projects in the areas of data science or machine learning
Experience developing software projects with large teams using technologies like; git, jenkins, travis, jira, etc.
Master’s degree or PhD in a quantitative or relevant field

Why Work Here
Uptake is a values-driven organization, and we are excited about what we do! We’re flexible, honest, hardworking, and collaborative. As a team, we bring our diverse backgrounds, beliefs, and experiences together to solve tough, important problems. We support and challenge one another to bring out the best in each of us, and we have fun along the way. We are proud to have been named as a Best Large Company to work for in Chicago on Built In Chicago’s Best Places to Work list in 2022 as well as #6 on the tenth annual Crain’s Chicago Business Most Innovative Companies List.
We offer generous benefits including health, dental, vision, parental leave, 401K match, unlimited PTO, and an annual stipend for continuing education, to name a few. Uptake's benefits foster the work-life balance that we know is essential to building a collaborative and authentic culture, and to the impact that we make on our customers day in and day out. We are also proud to be recognized by Purpose Jobs for Best Benefits at a Mid-Size Tech Company in 2022. Learn more at https://www.uptake.com/careers.
Uptake welcomes and encourages applications from all individuals, without regard to any prohibited ground of discrimination, including from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.


Data Scientist

Gradle Enterprise is a first-of-its-kind product that software teams use to accelerate and optimize Gradle, Maven, and Bazel builds. It comprises several facets including large volume data ingestion and processing, complex data analysis and visualization, and distributed caching and execution systems.
We are applying ranking, classification, clustering, pattern recognition, text summarization, and other analytical tools to developer productivity problems in novel ways to help our customers ship faster with less risk.
Our software is used by some of the world's leading software organizations, such as Netflix, Airbnb, Spotify, and Twitter. We regularly collaborate with these and other users to make our products continuously better.
Profile
We are looking for data scientists with a demonstrated ability to efficiently deliver and maintain innovative statistical, machine learned, and visual solutions as part of a collaborative team.
Our ideal candidates possess a passion for developer productivity, have courage and perseverance to explore complex analytical problems, discern good solutions from great ones with sharp technical skills, adeptly balance exploration and knowledge exploitation, and effectively communicate complex concepts to experts and non-experts.
Responsibilities

Collaborating with customers to understand their developer productivity challenges and explore opportunities
Identifying potential models or algorithms using applied data science principles such as machine learning, statistical modeling, and artificial intelligence
Working with MLOps engineers to process training and eval data
Measuring and improving solution effectiveness
Collaborating with the design team to produce actionable visualizations and insights
Presenting solutions and technical reasoning to experts and non-experts

Minimum qualifications

3 years of practical experience in machine learning, statistics, and/or artificial intelligence
Experience programming in Python and SQL, or other data analysis languages such as R
Working proficiency and communication skills in written and verbal English

Preferred qualifications

Bachelor’s or master’s degree in a quantitative field such as statistics or computer science
Experience programming in Java
Experience working with large datasets
Experience working on developer tools
Systematic problem-solving approach, coupled with effective communication skills
Interest and ability to learn new data science skills and techniques

What we offer

Contributing to leading solutions in the new industry of Developer Productivity Engineering
An automation-focused, test-driven engineering culture
An ambitious and experienced engineering team, dedicated to craft and delivery
Close collaboration with world-class engineers around the globe on novel products
In-person onboarding with your team and yearly, extraordinary company offsite event
Opportunities for growth in technical and managerial responsibilities
Attractive compensation package including company equity

Location

Anywhere in North America with working conditions that allow for seamless collaboration with your colleagues through email, chat, and video streaming

How to apply
The following is required with your application:

Submit your cover letter, your resume, and a build scan link via the form below
Explain in your cover letter why you want to work on the Gradle Enterprise product

Create a build scan for any OSS project and tag it with data-scientist

Next steps
After applying, familiarize yourself with the Gradle Enterprise hiring process to understand the next steps.
About us
We are committed and skilled software engineers, product designers, and marketing experts who are passionate about developer productivity. We take pride in delivering products that are relied upon daily by some of the world's leading software organizations, such as Netflix, LinkedIn, Airbnb, Spotify, and Twitter.
Our team is globally distributed but deeply connected. We value our interpersonal relationships as much as we value our achievements. We are a diverse and inclusive workplace where we learn from each other and together. We welcome people of different backgrounds, experiences, abilities, and perspectives.
Visit our careers page to learn more about the company and see other open positions. Visit Glassdoor to read what current and former Gradle employees have to say about the company.
Privacy Notice
For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Job Applicant Privacy Notice.


Senior Data Scientist

Fable is an exciting start-up with a mission to make the world a healthier and happier place. We are building a social platform to connect people via stories. Reading together with friends, family, and co-workers is a great way to enjoy the full mental and physical benefits of reading. We call this “social reading,” and use it to empower global communities to read together every day in digital book clubs. We are now planning to expand to stories that you can listen to or watch, and discuss these with other people who share similar interests. We are backed by top investors including Redpoint Ventures, Tiger Global, M13, Gaingels, and notable angel investors who believe in our mission and team.

☀  PURPOSE

We are building Fable because stress, anxiety, depression, and social isolation are on the rise and affecting people globally, across all age and income levels — and we can help. Stories promote empathy, social perception, emotional intelligence, and other cognitive abilities that can lead to better mental health. Just 30 minutes of reading every day can improve our mental wellbeing. Fable helps people make reading a fun and healthy daily habit that connects readers with friends, family, and communities.

🏗  WHAT WE ARE BUILDING

Fable puts the omnipresent mobile screen in service of digital nutrition.

In a world struggling with cognitive dissonance and toxic behaviors on social media, Fable combines taste-making curation and moderated social connections to foster mental wellness, personal growth, and meaningful interactions.

Social Reading
Fable makes it easy for people to discover, join and build communities based on their interest graph. Fable members read together, sharing highlights, notes, and comments. We curate the vast body of knowledge that surrounds every book and surface the most interesting bits to make reading much more interactive and fun.

Curation

Well-read experts and tastemakers select great books that are featured inside “Fable Folios.” A Fable Folio is a selection of exceptional stories and book recommendations. New Folios are released weekly and offer something for everyone, whether they’re seeking to be entertained, informed, or challenged.

Healthy Habits
Every day, Fable helps members set and reach their reading goals to reap the wellness benefits of reading. Our communities set their own milestones to pace themselves and fill the micro-moments in their lives with stories.

🤹  ROLE

We are looking for an experienced data scientist with a deep understanding of statistics, machine learning (ML), and experimentation to build ML models, run A/B experiments and causal inference studies from observational data, and uncover insights that will help us build the world's best mobile platform for social reading.

💪🏽  WHAT YOU WILL DO

-   Develop statistical and ML models to power product features and generate insights to guide operations teams
-   Lead causal inference efforts, including design and analysis of A/B experiments, and studies based on observational data
-   Rigorous thinking around data and metrics to ensure we're measuring the right things and using the right techniques for measurement
-   Dig deep into a rich trove of data to identify insights that will unlock network effects and fuel growth
-   Be an advocate of data-driven thinking and communicate data and metrics to the entire company!

✔  SKILLS YOU WILL NEED

-   Thought leadership to ideate with business leaders, identify areas of opportunity, and influence decisions
-   Curiosity to understand business needs and translate them to the right questions to ask of the data
-   Ability to come up with insights from data and influence stakeholders to take action
-   Excellent partnership and communication skills
-   Expertise in statistical methods, machine learning modeling, SQL, Python and/or R
-   Big plus if you have experience deploying ML models into production!

😊  IS THIS YOU?

-   You're self-motivated, and take ownership and responsibility
-   You love working with smart, fun, sincere and dedicated peers
-   You want to be the one to make it happen
-   You are resilient and can cope with ambiguity
-   Comfortable in a fast-paced and at times unpredictable start-up environment
-   Big plus if you have a love for stories and reading!

👐🏽  YOUR TEAM AT FABLE

At Fable, you'll join a passionate, high-performing and empathetic team of people who love stories. We are proud to work on a purpose-driven product with a mission of improving mental wellness. We are a tech company with the soul of an artist. We are an early-stage startup and as such a constant work in progress. We have no time for bureaucracy and are looking for leaders, not spectators. We listen, understand, and consider before we judge. We are committed to diversity and inclusion, and have a set of values that are an integral part of our company culture. Please check out our diversity and inclusion manifesto and company values here.

🔑  WHY WORK AT FABLE

This is a unique opportunity if you are looking to join a small team making a big impact, and work on a fast-growing product while having fun along the way.

-   Competitive salary and stock options
-   Comprehensive health and dental plans
-   Flexible vacation days
-   Open and transparent culture
-   Parental leave (we believe in life integration not just work-life balance)
-   Work from anywhere, any time

 WANT TO LEARN MORE ABOUT FABLE?
-   Check out our Founder’s message, meet our team and read our principles to make sure we are right for you
-   Read more about Fable in Fortune and Marie Claire
-   Listen to our Founder talk about mental wellness and stories
-   Top 50 seed companies to work for 2021

We are an equal opportunity employer and embrace diversity at our company. We do not discriminate by race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are a gender-balanced team committed to diversity and an inclusive environment.


Senior Data Scientist Analytics Safety

What You’ll Be Doing
Partner with Safety teams across products and ops through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Dive deep in our data to understand our users, analyze patterns, identify emerging abuse vectors, and surface recommendations that will shape the future of our product roadmap.
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You Will Thrive In This Role If
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
2+ years acting as a strategic thought leader with partner teams, helping define success metrics, set targets, and design proactive analysis that helped the team achieve its goals.
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
A desire to work in a fast-paced environment with many unsolved problems!
Bonus Points
Experience on a safety, risk, or integrity team, and/or a deep passion for making Discord a safer place.
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with statistical analysis using R, Python, or advanced SQL.
Passion for Discord or online communities
New York City residents only: Minimum salary of $175,000 year + equity and benefits*Note: Disclosure as required by NYC Pay Transparency LawColorado residents only: Minimum salary of $140,000 year + equity and benefits*Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Data Scientist Marketing Online

OverviewQualificationsJob DescriptionBenefits

Bonus Eligible

401(k) Company Matching

Employee Stock Purchase Program
COVID PRECAUTIONS

Health and temperature checks at all locations

Associates are required to wear a mask

Required social distancing measures throughout buildings

Increased cleaning frequency and enhanced sanitation efforts


Data Scientist Mid Level

Purpose of Job
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.
Candidate selected for this position is going to work with USAA enterprise data office data science team. They will leverage the advanced machine learning method to drive member insights and enhance member experience of the organization.
Uses advanced 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
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, standards, and procedures for business activities.Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to research architecture for new products, services, and features.Develops algorithms and supporting code such that research efforts are based on the highest quality data.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field; OR 6 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.4 years of related experience in predictive modeling, large data analysis and computer science.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.Experience in data mining and statistical analysis.Knowledge of Data Science principals and experience with data science methodologies.Experience with any one of the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.
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.
Preferred Experience:
Strong Python, SQL skills.Relevant banking domain knowledge of Omni, customer interaction data is a plus.Worked with data platforms such as Hive in Hadoop, Spark, Snowflake.Exposure to natural language processing (NLP), deep learning, computer vision.Model risk experience, or hands-on experience taking models through development and model risk validation, at a financial institution guided by OCC 2011-12 and FRB SR 11-7.Demonstrated ability to effectively communicate (written and oral) complex analytical and technical concepts to both technical and non-technical employees.
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: $88,200 – 158,900* (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.


Manager Data Science Bad Actor Disincentives

DESCRIPTION
Job summaryYou have super powers. Use them for good. We catch bad guys and stop online fraud. It’s fun. It’s hard. It matters. We need you.Amazon’s Customer Trust and Partner Support (CTPS) team is engaged in a technological arms race: cyber-criminals from across the world continually look for new ways to steal from us and cover their tracks, while we invent new techniques to detect and neutralize them with ever increasing speed and scale.It’s fun. We don’t just catch the bad guys; we stop crimes before they happen. Remember the "Minority Report"? It’s just like that. Basically, we predict the future by developing and applying cutting-edge machine learning systems to detect, predict, and prevent online fraud before it happens.It’s hard. This is Amazon, so of course our services are low latency, high throughput, highly scalable, and failure proof. Our fraud prevention systems are also highly reactive: we process multiple terabytes of data yet notice changes in individual behavior patterns in seconds. Even by Amazon standards, our datasets are massive and our transaction rates impressive, and everything is built with a scrupulous attention to security.It matters. Amazon is one of the world’s most trusted companies. Consider the implications of losing that trust. Third-party sellers account for nearly half the items purchased on Amazon. This nearly always goes smoothly; but when sellers cheat buyers, everyone loses. Even after we refund their money, buyers are less likely to shop at Amazon in the future. Legitimate sellers lose potential sales and are less likely to sell on Amazon. And of course, the money Amazon pays in refunds and charge-backs goes straight to our bottom line and ultimately results in higher prices for all our customers.We are looking for a gifted Data Science Manager to develop the next generation of fraud risk management systems for Amazon.Amazon is one of the world’s most trusted companies. Help us keep it that way.
BASIC QUALIFICATIONS
· Masters in Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent experience· 5+ years experience extracting and transforming data using SQL and/or scripting languages (e.g., Python)· 5+ years experience building statistical models and conducting analyses using tools such as R, Python, STATA, or a related software· Proven experience continuously learning and applying data science knowledge across topics such as causal inference, forecasting, machine learning, and large-scale scientific / distributed computing· Strong verbal and written communication skills to communicate relevant scientific insights to technical and non-technical audiences· Strong ability to earn trust with multiple groups of stakeholders both technical and non-technical· Experience leading scientists/engineers as well as a successful record of developing junior team members
PREFERRED QUALIFICATIONS
· PhD in Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent· Strong background in causal inference and/or time series forecasting applications· Proven track record of building and managing a high-performing science team including hiring, coaching, and career development· Experience working in science leadership role in subscription / consumer product industry· Experience with data visualization software such as Tableau, Amazon Quicksight· Experience implementing machine-learning methods for business applications (e.g., boosted regression trees, random forests, neural networks)· Experience with AWS technologies like EC2, Redshift, S3, Sagemaker· Ability to adapt in a fast-paced working environmentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Data Science Manager Advertiser Experience

DESCRIPTION
Job summaryAmazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. The Advertising Console Product and Technology team is a group of creative individuals whose vision is to make the Amazon Advertising Console (AAC) the most loved and used tool for all advertisers to market and grow their businesses, brands, and products to a global customer base.  The AAC is a collection of federated applications that combine to form the face and brand of Amazon Advertising. ACPT owns the delivery of the software, processes, and tools that allow teams across Amazon to build, support and enhance applications and features that deliver a cohesive advertising experience to all advertisers worldwide. By using our development kit and reusable components, developers can rapidly build features that integrate seamlessly within the suite of advertiser products. We use survey research, data science, machine learning, experimentation, and predictive modeling to understand advertiser dynamics, drive platform optimization, support evidence-based decision making, and help to develop predictive, intelligent features.  As the Data Science Manager on this team, you will:
Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity.Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization.Analyze historical data to identify trends and support optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
Team video ~ https://youtu.be/zD_6Lzw8raE
BASIC QUALIFICATIONS
PhD or Master’s Degree in Statistics, Applied Mathematics, Physics, Science, Engineering, Economics, or other quantitative fields.3+ years of direct people management; managing scientists.8+ years of experience as a data scientist, economist, applied scientist, research scientist or equivalent data analytics roleExpertise in as many of the following: hypothesis testing, estimation, experimental design, hypothesis and A/B testing, causal inferencing, multi-variate testing & design, descriptive analytics, and regression analysis.Experience with data scripting languages (e.g. SQL, Python, R) or statistical/mathematical software (e.g. R, SAS, or Matlab).Familiarity with probability, probability distributions, statistics and causal inference.Good understanding of apply machine learning to solve real-world problems.
PREFERRED QUALIFICATIONS
Broad knowledge of ML methods, statistical analysis, and problem-solving skills.Expert level knowledge in statistics; sophisticated user of statistical tools.Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of dataCombination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.
The pay range for this position in Colorado is $175,100; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Senior Data Scientist Alexa Marketing Science

DESCRIPTION
Job summaryAre you ready to lead the design and implementation of a new approach to ML-driven advertising and the AI experience? Alexa Marketing Science is looking for an inventive, adaptable, and curious Senior Data Scientist to help dive deep into customer attitudes and interactions with AI. The ideal candidate will have hands-on experience listening to stakeholders, defining and refining research goals, and generating potential solutions to novel problems. Candidates must have the breadth of knowledge to balance algorithm performance and complexity on a per-problem basis, as well as the ability to explain the impact of the model to a business audience in non-technical terms. Inclusive Team CultureHere at Alexa, we embrace our differences. We are committed to furthering our culture of inclusion. We have innovative benefit offerings, and we host biweekly and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Key job responsibilitiesScientists at Amazon are expected to develop new techniques to process large data sets and contribute to the design of automated systems. Key responsibilities include:* Apply ML, statistics or econometrics techniques to develop and analyze prototype models.* Design and analyze data from large-scale online experiments and small-scale experiments and surveys to provide insights and validate prototype models.* Collaborate with scientists across teams in peer-review processes, publishing research in internal forms and industry conferences.* Partner closely with product and engineering teams to improve the advertising performance and translate prototype models to production.* Research and experiment with novel statistical modeling approaches.* Have fun working on ground breaking technology with people just as passionate about their work as you!A day in the lifeOur team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.About the teamThe vision for Alexa Marketing Science (AMS) is to understand and anticipate customer voice assistant desires, needs, and preferences by surfacing timely information and options about Alexa and Alexa products. Our work enables builders to consistently launch 4-star products, in a manner that entices customers everywhere to require Alexa experiences throughout their daily life.
BASIC QUALIFICATIONS
* Master’s degree (or Bachelor's degree + 8 years of experience) in a quantitative discipline such as Statistics, Mathematics, Data Science, Economics, Quantitative Social Science, or Computer Science* 5+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication* 5+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)* Experience in ETL and databases in a business environment with large-scale, complex datasets
PREFERRED QUALIFICATIONS
* Advanced expertise in Python, SQL, Stata, R and/or Scala.* Experience modeling observational survey data* Experience finding practical solutions for ambiguous and challenging business questions* Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts* PhD in Economics, Quantitative Marketing, Quantitative Social Science, or closely related field.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Data Scientist

Req #: R127583
Location: US – Remote (Any Location)
Category: Technical Support/Technician/Scientific
Minimum Clearance Required to Start:
Secret
Job Description:
Location: LA SFB/Remote
Job Description:
Parsons is seeking a Data Scientist to participate in on-going projects. The Data Scientist will contribute to building new analytical tools and packages across the enterprise and will be expected to collaborate with team members in a highly technical environment.
Duties include:
Work on Palantir- foundry platformUnderstands business requirements and applies them to complex...
Read more
Ready for action? We’re looking for the kind of people who see this opportunity and don’t hesitate to act. Parsons is a leader in the world of Technical Services and Engineering. We hire people with a broad set of technical skills who have proven experience tackling some of the greatest challenges. Take your next step and apply today.
Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.
Apply Now


Data Scientist Product Analytics

About VSCO
At VSCO, our mission is to help everybody fall in love with their own creativity. We are passionate about designing trusted creative tools that are powerful, personal, and authentic. Our members are talented, inspiring, and equally passionate about their creativity. We seek humble overachievers and self-starters who are naturally curious, highly organized, and thrive in fast-paced, ever-changing environments. We foster a culture of collaboration, inclusion, ambition, and progress.
About You
We are looking for a Data Scientist to take our data practice to the next level. You will work with our Head of Data Science to build our data model with industry best practice, extract insights from user data to influence the product roadmap, design experiments to measure product impact, and develop automated processes to enable self-serve analytics . You will take a leading role in defining how we leverage data at VSCO, scope out projects, propose approaches, and drive them to completion.
You are curious and driven to collect, analyze and interpret data that will be used to inform product decisions. You can break down complex and ambiguous technical questions and provide clear answers in return. You are not afraid of digging into the data and working across teams to find missing pieces. You care about the integrity and validity of the data. You are excited to help co-workers solve data puzzles, and even more so to teach them how to do it on their own.
The day-to-day

Conduct exploratory analysis to uncover the drivers of user engagement and retention, and produce actionable recommendations
Guide the instrumentation, testing, and analysis of new features in collaboration with the Product Team
Collaborate with our Data Engineering team to drive improvements in data quality for reporting and ad hoc analysis
Build scalable reporting and visualizations to help teams measure product and business performance
Help grow the data science team

Qualifications

Bachelor or Master’s degree in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
2+ years of full-time work experience as a Data Analyst or Data Scientist at a consumer internet company
Demonstrated experience extracting, manipulating, and analyzing complex data using SQL and R/Python
Good understanding of ETL and data pipelines; Hands-on experience cleaning and aggregating large data sets for analysis and visualization (AIrflow/SQL/MapReduce)
Deep understanding and working knowledge of statistical analysis techniques such as hypothesis testing and regression analysis
Expert in communication, with a consistent track record of partnering across various teams and disciplines

Nice to have

Expert in writing ETL and data manipulation scripts in Airflow, Hive, or Spark
Experience working with subscription-based mobile applications
A deep appreciation for photography and the visual arts

Job Perks

A virtual first workplace with quarterly company-wide travel events to connect and play.
Competitive Salary & Equity
Healthcare insurance, vision, dental insurance for employees and families
Flexible vacation policy
Creative Fridays, VSCO Create weeks (our version of hack week), and so much more.

Why VSCO?
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
We believe in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture.
#LI-Remote


Sr Data Scientist Marketing

About Quizlet:

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

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

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

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

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

About the Team:

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

About the Role:

As the Senior Data Scientist for Marketing, you will lead our analytics efforts within the marketing and international teams. You will bring together insights across our vast user growth data, enabling you to identify new high-value opportunities, define key business metrics, set company wide goals, and present quantitative research. We are open to this role being hybrid or remote work within the US.

In this role, you will:

Partner with Growth Marketing, PR, and Product Marketing teams to develop and drive the Marketing roadmap and strategy
Partner with our International, London-based team on international strategy and performance
Leverage Quizlet’s robust data sets to publish public-facing research reports, discover high-value segments with LTV work, recommend future campaign strategies, and inform the company on user product journeys

What you bring to the table:

5+ years of experience in marketing analytics and data science
Advanced SQL skills, including highly developed QA skills and ability to write the most efficient, optimized code
Practical knowledge of running A/B tests for marketing teams
Strong communicator: effectively synthesize, visualize, and communicate your ideas to others
Deep understanding of the analytics toolkit, including funnels, cohort analyses, user segmentation, regression models, and more

Bonus points if you have:

Experience with Braze, Google Ads, and Facebook Ads
Experience working on international focused growth projects

Compensation, Benefits & Perks:

Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps.  Total compensation for this role is market competitive, including a starting base salary of $123,000 - $170,000, depending on location and experience, as well as company stock options
[This role is eligible for commission payments (if applicable)]
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!); 10 paid holidays plus additional days off in 2022 due to Covid
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Professional Development stipend (teach yourself something new)
Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

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

In Closing:

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

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

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

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

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


Sr Data Scientist

Sr. Data Scientist : Product

Branch is on a mission to help working Americans grow financially. We do this by helping companies accelerate payments and empower working Americans with accessible, fee-free financial services. We’re committed to building and delivering more inclusive and transparent financial products.

Come join our team as we develop new ways to improve the lives of working Americans. Our mission starts with empowering our own employees. Have a great idea? Share it today and it might just get implemented tomorrow. As a team member at Branch, your voice and creativity can directly impact the product and company. We not only attract great talent from across the country, but also build teams to help that talent to thrive. That means valuing a diversity of opinions and working styles, while creating a shared belief in innovation, initiative, and winning together.

The Data team at Branch is looking for a senior data scientist to improve the overall experience of workers on Branch’s platform by balancing user experience with risk mitigation. The ideal candidate will be a data guru that enjoys seeking out solutions to complex business objectives, mapping the solutions to data science approaches and delivering scalable results. The ability to juggle fully automated solutions and ad-hoc needs of the business is a necessity for success in this role.

Responsibilities include, but are not limited to:

Monitor Branch’s product line from a risk perspective
Work with product and operation teams to optimize the growth:risk tradeoff by creating models and routines that set product parameters
Lead feature engineering effort for risk modeling within the larger data team
Proactively seek out areas to apply data science approaches to advance business goals, emphasizing on low hanging fruit
Act as resident expert on anomaly detection and risk modeling

Qualifications:

5+ years solving data problems using advanced statistical techniques
Business experience in monitoring risk and optimizing the tradeoff between risk and growth
Strong background in Python and SQL
Experience solving data problems “end to end”: from analysis to modeling to productionalized deliverable (ideally leveraging Python Notebooks)
Familiarity conducting data science research to explore cutting edge approaches
Background in machine learning and econometric modeling; ability to interpret and “teach” results
Bonus points for

Fintech and/or Payments experience
Familiarly with Google Cloud Platform

Benefits:

Work from anywhere
Branch-paid medical, dental, and vision insurance
Equity
401k
Flexible time off
Paid company holidays
Paid parental leave

Branch is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Working at Branch
Headquartered in Minneapolis but with employees located all throughout the US, Branch emphasizes transparency, accountability, and trust to create a collaborative environment where our product, engineering, marketing, customer support, customer success, and sales teams can all thrive together.

Our teamwork has enabled us to become an award-winning fintech company, with Branch’s innovation and workplace recognized across industries. Branch has been honored by the Webby Awards, Benzinga Fintech Awards, Fintech Breakthrough Awards, the Star Tribune’s Top Workplaces, and EY Entrepreneur of the Year, Heartland, among others.

Learn more about our culture, approach, technology, and people here: https://www.branchapp.com/culture


Senior Data Scientist Monzo Flex

We're looking for a Product Data Scientist excited to help us revolutionise the way people manage their finances. A key part of this role is product development our recently launched Monzo Flex, a product that gives customers a better way to pay later. You’ll help us understand and improve the user experience for a new product, help drive growth (we have over five million current account customers), and how we consider cross product dynamics across the range of borrowing products.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company - and want to embed this into Monzo Flex, using powerful, real-time analytics to drive how we think about product development, growth hacking, and ongoing customer engagement.
As part of your role, you'll:

Work within a Product squad within the Borrowing Collective, collaborating closely with designers, PMs, and engineers to develop the testing and product roadmap for Monzo Flex.
Actively explore uptake and engagement of Monzo Flex and our other borrowing products, to make sure we can offer the right product and features to our customers
Be the expert on running simple and more complex experiments so that we can reliably measure the impact of changes we make to our borrowing products
Scale your knowledge and impact across data in borrowing by sharing your knowledge and working with others on projects and experiments
Find enjoyment in contributing to data across Monzo by sharing your insights, contributing to our core data pipelines and proactively spotting opportunities for applications of your work in other areas of the business

What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:

What we’re doing here at Monzo excites you!

You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well

You're commercially minded and can put numbers into business perspective

You’re as comfortable getting hands-on as taking a step back and thinking strategically

You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so

You're a team player whom your colleagues can rely on

You have solid grounding in SQL and preferably Python

You have experience in conducting large scale A/B experiments

Nice to haves:

You have multiple years of experience in product or growth analytics, preferably in a fast moving tech company

You have experience working in financial services

Logistics

We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.

#LI-NB1


Senior Data Scientist

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2021 and help us to build a bank that customers truly love.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over four and half million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.
As part of your role, you'll:

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:

What we’re doing here at Monzo excites you!
You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
You're commercially minded and can put numbers into business perspective
You’re as comfortable getting hands-on as taking a step back and thinking strategically

You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
You're a team player whom your colleagues can rely on
You have solid grounding in SQL and preferably Python
You have experience in conducting large scale A/B experiments

Nice to haves:

You have experience in product or growth analytics, preferably in a fast moving tech company

Logistics

We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.

____________________________________________________________________________________________________________________________
#LI-NJ1


Senior Data Scientist Financial Crime

We're looking for a curious, adaptable Data Scientist to join our team at Monzo!
You will be responsible for partnering with stakeholders in FinCrime to develop evidence-driven solutions to important Operational and Financial Crime problems. You will apply your data expertise to surfacing key insights that will help drive decision-making, and develop data tools (where appropriate) that will improve our ability to fight financial crime and keep customers safe. You will work together with other members of the data discipline to maintain high quality, accurate data that our stakeholders can rely on.
Data at Monzo
Our Data team's mission is to
Enable Monzo to Make Better Decisions, Faster
At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
Our technology stack
We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

Google Cloud Platform for all of our analytics infrastructure

dbt and BigQuery SQL for our data modelling and warehousing

Python for data science
Go to write our application code

AWS for most of our backend infrastructure

The role
Working in a multi-disciplinary data and engineering squad, you will:

Work closely with financial crime analysts, operations analysts, data scientists and engineers to understand the underlying business problem and propose an appropriate solution (whether involving purely engineering, purely data or both)
Translate regulatory reporting requirements into highly accurate data models and set the strategy for how we ensure the best possible data accuracy
Build robust data models, reports and visualisations downstream of backend services (mostly in BigQuery SQL) that support internal management information as well as governance and regulatory reporting
Investigate and effectively work with colleagues from other disciplines to address and improve data quality
Conduct deep dives into various Fincrime systems for fraud detection, transaction monitoring and customer risk to identify key business opportunities
Develop and drive data solutions that improve our ability to fight financial crime and keep customers safe

What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if

You have strong SQL skills and are familiar with BigQuery and/or general data warehousing concepts
You are comfortable exploring potentially ambiguous business problems and enjoy finding technical solutions to them
You have experience building robust and reliable data sets requiring a high level of control
You’re keen to learn more about new technologies and their application in retail banking
You strive for improvement, proactively identifying issues and opportunities and getting them prioritised

It would be a bonus if:

You have multiple years of analytics experience, preferably in a fast moving tech company or consultancy

Experience working with governance reporting or financial crime

Logistics

We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical written exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.

Equal Opportunity Statement

At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.____________________________________________________________________________________________________________________________
#LI-NJ1


Data Science Manager Personal Banking

We're looking for Data Science Managers to help our product teams build the bank of the future. You’ll have the opportunity to lead a team of Data Scientists across our Personal Banking collective.
Personal Banking owns our most important current account features. You’ll get the chance to work on our market leading products like Pots, Get Paid Early, and our Plus and Premium Product. Your work will produce a best in class new user experience, and help build social connections with our peer to peer payments, our referral programme and shared tabs.
You’ll work closely with product managers, engineers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of volumes of cloud native data platform, spotting opportunities to make each area of our product work even better for our users. You’ll help your team grow, hiring new team members, supporting their personal development. Your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into a product squad alongside engineers, designers, marketers, product managers, machine learning engineers etc.
As part of your role, you'll:

Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling operations problems
Help hire, develop and retain talented Data Scientists
Generate insights that can change the direction of product development
Establish yourself as a trusted partner to the product leadership teams with the capacity for getting things done, be it either hands-on or by leading others
Bring data leadership and rigour to our approach to product development in the operations function and build a strategic understanding of the business while structuring complex projects to bring them to life
Liaise with engineers to keep making sure we collect the right data to produce relevant business insights
Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do

What’s special about data at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:

What we’re doing here at Monzo excites you!
You have multiple years of experience in data, working as a Lead Analyst or Data Scientist
You know what it takes to manage top tier Data Science talent
You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
You consider yourself an empathetic leader and have experience managing data scientists and you really enjoy that part of the job
You have experience working together and collaborating with senior business stakeholders and product teams
You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same

You have multiple years experience working in a product analytics role and have conducting large scale A/B experiments

Logistics

We can help you relocate to London & we can sponsor visas.
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a practical exercise and 2-3 video interviews. We promise not to ask you any brain teasers or trick questions.

___________________________________________________________________________________________________________________________
#LI-NJ1


Director Of Data Science

We're looking for a Data Science Director to help our product teams build the bank of the future. You’ll have the opportunity to lead teams of Data Scientists across our product organisation, managing our Data Science teams across Personal Banking, Subscriptions and Business Banking. This is very much a leadership role – you’ll sit at both the leadership level for the Product organisation and the Data Discipline, helping shape the future of both. We’re on track to grow Monzo (500% growth since January 2019!) and the Data Discipline (300% growth since Oct 2020!) and are looking for a leader ready to take on both.
Personal Banking and Subscriptions own our most important current account features. You’ll get the chance to work on our market leading products like Pots, Get Paid Early, and our Plus and Premium Product. Your work will produce a best in class new user experience, and help build social connections with our peer to peer payments, our referral programme and shared tabs.
You’ll work closely with the general managers, product, design and engineering directors to run your area of the business. You’ll be responsible for the future size and direction of your data area, building a high performing team across our subdisciplines (from Data Scientists and Analytics Engineers, all the way to Machine Learning Engineers). You’ll grow and mentor the Data Discipline members of your team, including your own Data Science managers.
You’ll ensure we generate high quality insights that help shape the direction of  our product. You’ll lead a culture of high quality, proactive analyses designed to not only respond to new features as they launch, but to help generate the foundations of what we do next. We’re looking for someone enthusiastic about building market leading products and seeing the data insights their team produces go on to improve the lives of millions of our customers.
As part of your role, you'll:

Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling Data problems
Help hire, develop and retain top tier talented Data Scientists
Develop your own leadership structure of Data Science Managers
Promote a culture of proactive, high quality data insights that can impact the direction of Monzo
Establish yourself as a trusted partner to the product leadership teams with a reputation for getting things done
Bring data leadership and rigour to our approach to product development
Build a strategic understanding of the business while structuring complex projects to bring them to life

What’s special about data at Monzo?
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Machine Learning Engineers etc.
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. All of our infrastructure is also designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best: think creatively. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:

What we’re doing here at Monzo excites you!
You know what it takes to hire and retain top tier Data Science talent
You have multiple years of experience in a leadership position in Data Science
You know what it takes to impact product strategy
You consider yourself an empathetic leader, have experience managing Data Scientists and you really enjoy that part of the job
You have experience working together and collaborating with senior business stakeholders and product teams
You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know the right tools for the job and can help your team choose the right approaches

Logistics

We can help you relocate to London & we can sponsor visas
This role can be based in our London office or remotely within the UK
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team

Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog
If you prefer to work part-time, we'll make this happen whenever we can – whether this is to help you meet other commitments or strike a great work-life balance

___________________________________________________________________________________________________________________________
#LI-BN1


Senior Genomics Data Scientist

About Ancestry:
When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery.
With more than 30+ billion digitized global historical records, 100+ million family trees, and 20+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.
AncestryDNA is looking for a Senior Genomics Data Scientist to join our Computational Genomics team. As a Senior Scientist, you will work with our enthusiastic team of scientists, engineers, and product designers to help customers better understand their origins. You will mine large datasets and develop computational methods that connect people to genomic and phenotypic insights. Our Senior Genomics Data Scientist reports to the Senior Manager of Computational Genomics.
What You Will Do:
You will work with our excellent team of data scientists, population geneticists, and statisticians.
You will mine large datasets and run analyses to understand populations, their phenotypes, and their DNA sharing patterns across multiple generations.
You will build computational tools to connect genomics to insights about individuals and populations.
You will work with product and engineering teams to deploy and monitor computational models in production
Who You Are:
You have a PhD in computational biology, biostatistics, population geography, data science, or a related field with an emphasis in computational science.
You have a minimum 2+ years of experience working in industry on projects with diverse stakeholders.
You have a demonstrated ability to lead and manage projects that meet timelines and deliverables.
You develop novel approaches to complex problems using machine learning or computational strategies
You are proficient in programming to implement and validate new approaches, in Python, C++, Java, or R. Experience working in AWS is a plus.
You have excellent communication and project management skills across disciplines and teams.
#LI-JE1
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.


Staff Data Scientist Nlp

About Ancestry:
When you join Ancestry, you join a human-centered company where every person’s story is important. We believe that by discovering the struggles and triumphs of our past, we can foster deeper bonds and more meaningful connections among families and communities. Our talented team of scientists, engineers, genealogists, historians, and storytellers is dedicated to empowering customers around the world from all backgrounds on their journeys of personal discovery.
With more than 30+ billion digitized global historical records, 100+ million family trees, and 20+ million people in our growing AncestryDNA database, Ancestry helps customers discover their family story and gain a new level of understanding about their lives. Passionate about dedicating your work to enriching people’s lives? You belong at Ancestry.
We are looking for a Staff Data Scientist with expertise in the field of Natural Language Processing (NLP) to join our centralized Data Science team and report to the CV/NLP Manager. You will develop state of the art solutions to a variety of challenging problems supporting family history and DNA products.
What you'll do...
In partnership with business leaders, establish a vision for the use of NLP to extract value and data-driven insights from our billions of genealogical records and from the Newspapers.com archives;
Use data science and machine learning to drive product improvement, customer success, marketing optimization, and more across both our family history and DNA products;
Help champion a data-driven culture and push long-term business value creation through development of best-in-class data science and NLP capabilities;
Partner with subject matter experts to inject their in-depth knowledge into the model creation process
Work closely with engineering teams to optimize NLP algorithms and deep learning models, deliver model improvements, and deploy models to run efficiently in production systems;
What you have...
Ph.D. in Computer Science, Statistics, Mathematics, Linguistics, Engineering or data related field;
Minimum5+ years of hands-on technical experience developing and deploying NLP deep learning and machine learning models in production settings;
Minimum 2+ years of experience mentoring and leading engineering teams;
Direct industrial experience with a proven track record of leading efforts to design, implement, and deploy multiple data science projects end-to-end from idea generation, objectives formulation, to implementation and deliverables;
Extensive background in ML and NLP methods including CNN, RNN, transfer learning, attention mechanisms, large language models, transformers, generative models and embedding methods;
Experience with NLP techniques such as named entity extraction, document classification, document summarization, topic modeling, relationship extraction, machine translation, sentiment analysis, dialogue systems;
Expertise with NLP technologies including Python, Tensorflow, PyTorch, Keras, SciPy stack and Scikit-learn, NLTK, spaCy, pandas, numpy, etc.
Knowledge of pre-trained language models like BERT, GPT, T5, Huggingface and XLNet
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.


Data Scientist

The Company

Outschool's mission is to inspire kids to love learning. We achieve this by linking learning to kids’ interests, connecting them with other classmates who share their passions, and giving them the autonomy to pick their own paths. Our small group classes meet over live video chat with teachers who celebrate their unique strengths and empower all learners to develop confidence and a strong sense of self.

We're also focused on removing barriers for historically underserved learners who face systemic challenges to their success. In 2020, we started Outschool.org and began offering financial assistance to families in need. We are currently creating an Educator Endowment Fund to appreciate the teachers who are so central to our mission of inspiring kids to love learning.

We believe that diversity drives learning. To meet our mission, we encourage, support, and celebrate different ideas, perspectives, and backgrounds. As a fully distributed (remote) team, we challenge one another to find the most effective way to empower learners, teachers, and parents. Your name, race, religion, gender, nationality, sexual orientation, and age are not barriers; they are why we want to work with you. We invite talented and creative candidates who value the importance of nurturing a child's boundless curiosity to join us on this journey.

The pandemic has been challenging for families all over the globe. We acted quickly and worked together to provide quality resources to learners, parents, and teachers in the past year. As communities worldwide rethink their approach to education, Outschool will continue to innovate and provide kids with unique opportunities to explore their passions.

Earlier this year, Techcrunch recognized Outschool as the newest EdTech unicorn. We've also been named Fast Company’s most innovative EdTech company in the world, and one of the top ten best startups for women from Elpha.

The Role

Data Scientist (multiple openings), Outschool, Inc. San Francisco, CA. Responsibilities:
Work cross-functionally with multiple internal teams to help shape Outschool’s strategy by
sharing key insights and finding creative ways to use data to problem-solve and improve its
products and services. This entails: translating data into insights and action; defining and
monitoring key company-wide success metrics and OKRs; using visualization, reporting and
other tools to improve how our team accesses and interprets datasets; conducting quantitative
research to dig deeper into pressing analytic questions; creating models to identify important
segmentations and predict outcomes in specific subdomains; building data tools that help us
scale manual processes; and prototyping new data-driven features that increase value for our
learners, families, and teachers. Telecommuting permitted. Requirements: Bachelor’s degree in
Math, Economics, Statistics, Computer Science, or related quantitative field, plus 3 years of
experience in data science or analytics role. Prior experience must include 5 years of experience
with SQL skills and Python or R programming; and 5 years of experience working with data
visualization tools including Mode, Looker, or Tableau. Must successfully complete
competency-based interview. To apply please send resume to: melissamartin@outschool.com

OUTSCHOOL CARES:
At Outschool, we believe that taking care of one another enables us to do our best work. To us that means:

•Shared Financial Success: Competitive salaries, stock options, and investment plans that make saving for retirement easier.

•Health & Wellness: Comprehensive health, dental, vision, disability, and life insurance coverage options for employees and their families. Our medical benefits include fertility and family planning coverage. We also provide employees with online access to coaching and therapy sessions through our partner, ModernHealth.

•PTO & Family Benefits: PTO and family leave enable our team to take the time that we need to recharge, relax, and spend time with family and friends.

•Fully Distributed: With a team distributed across the US and Canada, we create a remote culture through expensable weekly meals, virtual events, expensable home office setup, and internet allowance.

•Lifelong Learners: Annual budgets to self-direct our professional development as well as DEI learning. There’s also a budget for employees’ learners to take classes on Outschool!

•Community Impact: Outschool matches employee donations to established charities and has committed to donating $3M to Outschool.org non-profit programs.

Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience.

Outschool is committed to providing reasonable accommodations to neurodiverse individuals, applicants with physical and mental disabilities, and disabled veterans. For individuals who would like to request an accommodation, you may reach out to us at recruiting@outschool.com or through your Recruiting point of contact as you schedule your initial interview.

Benefits packages are included for full-time employees only.
Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada.