Business Intelligence Leader

Role: Business Intelligence leader
Reports to: SVP, Product
Department: Product
Location: Remote, US
Job Type: Full Time, Exempt

Help us Shape the Future of Data
Anaconda is the world’s most popular data science platform. With more than 26 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.
Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary
Anaconda is seeking a talented Business Intelligence Leader  to  join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.
What You’ll Do:

Apply data science to our offerings and data about the data science community
Own innovation initiatives focused on key data science deliverables. Drive innovation and research working effectively with cross functional teams and drive data science thought leadership in research initiatives
Identify and monitor and research new ways of using data to solve business problems
Develop new analytic innovations and be able to present them to stakeholders in a compelling way, demonstrating value and differentiation, and drive the impact of our products and services
Serve as the subject matter expert for all things data science, bring expertise to our users offering more visibility to the analytic innovations and process behind innovation, including speaking engagements, collateral development, and presentations
Be a trusted advisor on use of data science technologies and listen to stakeholders’ challenges to drive Anaconda’s innovation forward
Track the fields of data science, machine learning, artificial intelligence, and deep learning—staying abreast of current trends and making recommendations how these advancements might be leveraged within Anaconda.
Manage data projects, ensuring stakeholder engagement, status updates, and issue escalation
Partner with Product and Engineering to ensure the required instrumentation is built into our products and services
Support the management of incoming demand, assign work to team, and facilitate further scoping and coordination as needed
Coordinate with Learning and Development on the creation of Insights & Data-Driven Culture, Data Literacy content and campaigns
Partner with technology to build the data infrastructure required to support our goals
Drive data driven decisions to positively impact our ability to achieve our business objectives
Build impactful business intelligence dashboards, tools, and apps providing insights from our data.
Be a proactive partner within the product organization improving the customer experience with data that helps to prioritize work drives faster iteration and  experimentation
Support the design, development, and iterative improvements of weekly reports and monthly business reviews
Lead a team of data scientists and business analysts that you partner with to achieve these outcomes

What You Need:

Degree in statistics, mathematics, computer science, engineering, economics, or related field
Minimum of 10 years of related experience.
Team leadership and people management experience
Technical hands-on experience will include employing machine learning, mathematical/statistical modeling,  pattern recognition, or data mining on real world problems and knowledge of python for analytic innovations integration into production software
Familiar with Anaconda Distribution and the pydata ecosystem
Prior experience (partnering with internal cross functional teams like product management, marketing, sales) driving high quality/on-time analytic development programs and driving analytic innovation into business processes and offerings.
Excellent communication skills both written and verbal with examples of published work and conference presentations
Experience in open source and data science advocacy
Team attitude: “I am not done, until WE are done”

Embody our core values:

Ability & Humility
Innovation & Action
Empathy & Connection

Care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out:

Experience working in a fast-paced startup environment
Experience working in a open source or data science-oriented company

Why You’ll Like Working Here:

Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
Dynamic company that rewards high performers
On the cutting edge of enterprise application of data science, machine learning and AI
Collaborative team environment that values multiple perspectives and clear thinking
Employees-first culture
Flexible working hours
Medical, Dental, Vision, HSA, Life and 401K
Health and Remote working reimbursement
Paid parental leave - both mothers and fathers
Pre-IPO stock options
Open vacation policy and monthly company days off known as Snake Days
100% remote and flexible working policy – we embrace this fully through how we operate as a company.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


Senior Data Scientist

Possible is a venture-backed consumer fintech that has radically reinvented small-dollar loans. We are working to lend in a more affordable and sustainable way to help people improve their financial health. Building on our success, Possible is adding two additional products in the pursuit of making financial services more fair and affordable.

Now in our 4th year, we are pleased to share we have seen serious growth, helped hundreds of thousands of customers, and have a stellar rating (100,000+ people give us an average of 4.8 stars at the app store). Our team has delivered and is making a difference.

Do you desire to work with large amounts of data? Are you interested in building a data science function while doing meaningful work? Have you always wanted your work to have a positive societal mission to help underserved communities?

As a Senior Data Scientist at Possible, you will work on interesting, high-impact, and intellectually stimulating data science projects. Key responsibilities including; Life cycle credit policy management ranging from acquisition to collections, underwriting/machine learning models development, credit risk portfolio reporting, and monitoring, fraud management and prevention, new product analysis and definition, campaign management, and credit strategy testing.

This role requires a high level of analytical problem solving and collaboration as you work cross-functionally to answer key strategic questions and drive decision-making. This role reports directly to the Head of Data Science and ML.

Roles & Responsibilities:
 - Data Analytics
     - Designing, developing and implementing machine learning models/algorithms
     - Builds underwriting models to increase loan funding rates while lowering losses

 - Drives improvements in customer acquisition and fund recovery
     - Identifies and evaluates new data sources to improve customer acquisition and fund recovery
     - Works holistically across the entire risk management continuum including marketing channel evaluation and pre-approval criteria for   existing customers
     - Continue to test new strategies and models and work with the fund recovery team to improve cash collection

 - Drives analysis and ongoing improvements to loss performance of new markets.
     - Working with other departments (including marketing, loan operations, finance, etc) evaluates new product opportunities and forecasts likely loss performance.
     - Evolves strategies and pricing recommendations to improve performance as the new products scale.

Work experience and education, knowledge and skills:

A bachelor's degree in statistics, data science, applied mathematics, computer science, or engineering is required. An advanced degree from a respected academic institution is preferred.
2-3 years of hands-on experience using tools such as R, Python, SQL, Spark
Prior experience using reporting tools such as Tableau, Looker, or equivalent
Self-starter with the ability to develop insightful financial models and quantitative analysis, paired with strong critical thinking and sound business judgment
Excellent organizational skills with the ability to set priorities and to work simultaneously on several projects.
Excellent analytical and numerate skills. Attention to detail.
Experience in analyzing large scale data in both structured and unstructured settings
Knowledge of cloud computing and AWS services is a plus

About Possible:
We are a fast-growing, fully distributed, FinTech startup that believes financial health is something everyone deserves, not just the affluent. We're committed to empowering the underserved with tools to better their economic situation. We promise to be transparent, serve with kindness, be responsible, and hold ourselves accountable for crafting positive change. Possible is backed by leading investors such as Union Square Ventures, Canvas Ventures, and FJ Labs.

Work hours:
Possible is fully distributed and has team members across the US and in Asia and Latin America. Our primary coordination hours are 9a to 3p Pacific Time.

Diverse, Equitable, & Inclusive Work Environment:
Possible Finance values inclusion and believes diversity at all levels is the best way for us to accomplish our mission. We aspire to be among the industry’s most inclusive work environments and are a proud equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law.


Sr Data Scientist Ad Measurement

DISQO is changing the way that the world’s largest brands, agencies and consumer intelligence companies get to know their consumers. We’ve built the first identity-based platform that combines consumer attitudes and behaviors together to power the most accurate and predictive insights solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies. We help our customers get a cross-platform view into consumer sentiment, measure advertising effectiveness, analyze consumer purchase journeys, and ultimately grow their brands.

Our mission at DISQO is to engage people to share their opinions and behaviors openly to help our customers make the right decisions. With over one million active members sharing their attitudes and behaviors, DISQO is looking to expand, improve and create world-class applications for people to openly share their data for research.

DISQO is looking for a Sr. Data Scientist to join our Ad Measurement team. You will help us define and build our next generation of Ad Measurement products based on insights and market research using DISQO’s unique behavioral data. If you have a passion for data science, a background on ad tech/measurement and have a product & growth mindset we would love to talk to you. This position is highly visible. You will present solutions to the executive team, influence our product roadmap, and shape the future of market research space.

You will also be part of the DISQO Data Science team. We are a high-performance team looking for others to challenge us to become even better. We are equal partners collaborating with product, engineering, and marketing teams to define and shape DISQO products and infuse them with Data Science capabilities at the consumer and enterprise side. We are looking for people with a growth mindset, data curiosity, who are comfortable with ambiguity and uncertainty and have the eagerness to be agile, creative to redefine the market research space.

What you will do:

Build DISQO’s next generation Ad Measurement platform
Act as the Data Science Subject Matter Expert for everything Ad Measurement
Collaborate with engineering, data analyst and product teams to understand customer needs, analyze ad campaign performance and clearly communicate findings and insights based on DISQO’s unique data set to help shape DISQO’s ad-measurement products

What you bring to the table:

PhD or Master in Computer Science, Mathematics, Statistics, Econometrics
Experience in the Ad Measurement and/or Market Research space and hands on experience and understanding of causal inference, control group creation & counterfactuals, brand & ad lift measurement and survey weights
Experience with statistical and propensity modeling
Experience with big data technologies such as Spark, AWS Athena, Hadoop, Redshift
Expertise in programming in Python or R, fluency in SQL and proficiency in using Jupyter notebooks
Strong communicator - able to advocate data informed decision-making at all levels
Strong analytical capabilities to translate business problems into Data Science problem formulations
Familiarity with A/B testing and evaluation methodologies
Prior experience with media analytics; digital, linear TV, or connected TV advertising is a strong plus

#LI-Remote #LI-FP1

Perks & Benefits:

·100% covered Medical/Dental/Vision for employee, 80% for dependents

·Equity

·Unlimited Vacation

·Flexible work hours

·Happy Hours

·Quarterly Offsites

·401K

·Life Insurance

·FSA

·Paid Maternity/Paternity leave

·Disability Insurance

·Travel Assistance Program

·24/7 Counseling Services offered to employees

DISQO is an equal opportunity employer. Discovery, innovation, and growth are possible when we open ourselves to new possibilities, perspectives, and approaches. That’s why, at DISQO, we welcome, support, and empower individuals from diverse backgrounds. Exceptional teams are rooted in extraordinary people, each with a unique story and a compelling set of skills. DISQO does not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

*Recruiting firms that submit resumes to DISQO without first entering into a written contract will not be entitled to any compensation on candidates referred by that firm.


Data Scientist

Interested in defining how AI shapes the future of work? Cresta is on a mission to make every knowledge worker 100x as effective, 10x faster, and 10x better. We apply AI to improve Call Center operations using our patented real-time coaching platform. We provide dynamic, live guidance to every agent based on the best practices of the top performers.

We’re growing fast! We spun out of the Stanford AI lab and are co-founded by Sebastian Thrun, who is the most successful German in Silicon Valley (co-founder and CEO of Google-X, Waymo, Udacity, Kitty Hawk, and more). Cresta launched in 2020. Since then, we’ve grown revenue and our team by 300%! We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors and advisors including Andreessen Horowitz, Greylock Partners, Sequoia Capital, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Porsche, Adobe, and Dropbox and we have been recognized as a startup to watch by Business Insider, Forbes, and Gartner to name a few.

As a Data Scientist, you will be responsible for owning and systematizing the way Cresta shows value to our customers, working across all aspects our customer journey. If you enjoy solving problems faced by large enterprise companies, have world-class written and verbal communication skills, and love data analysis, external presentations, and organizing internal and external project timelines, then we’d love to talk!

What You'll do:

Own and systematize a repeatable way to show value of Cresta for new and existing customers using standard statistical analysis methods (e.g. A/B tests) as well as product engagement and NLP techniques, all tied back to business outcomes
Design, create and maintain tooling (e.g., dashboards and visualizations) that can be used both internally and externally for communicating value and enabling others to answer data questions
Analyze large corpuses of text data using standard NLP practices: an example analysis might be "what are the key behaviors that top sales agents do that lead a sale?" and making that analysis repeatable to be used across different teams and customers

We're looking for someone who has:

Proficiency in SQL, data visualization, and data storytelling, as well as standard NLP analysis and workflows (e.g. Numpy, Pandas, NLTK, Jupyter, etc.)
Strong knowledge of statistics and experimental design
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks
3+ years experience working with and analyzing large data sets to solve customer problems (Bonus: part of that with language/text data)
The ability to communicate results clearly written, verbally, and via presentations to both internal and external executives and data-savvy teams
Bonus: an advanced degree in a quantitative field (e.g., Statistics, Sciences, Engineering, CS, Math)


Data Science Summer Intern

The Petal mission

Petal’s mission is to expand access to opportunity, by making responsible, modern financial services available to everyone. Founded in 2016, Petal provides technology-enabled credit cards to consumers who are historically underserved by mainstream providers.

Petal pioneered automated cash flow underwriting, a transformative new approach to assessing consumer creditworthiness with the potential to expand access to tens of millions of U.S. consumers without credit history, or for whom traditional credit scores do not tell the whole story. Petal pairs this groundbreaking, data-driven underwriting technology with a mobile-first, digitally native product experience designed to help users manage and build credit responsibly. For Petal, it’s a mission as much as it is a business—with a goal to reimagine finance for the next generation of consumers.

At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.

The Data Science, Intern role

We are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved, making the data science function critical for this mission. These models will support our risk underwriting, acquisition and customer management teams. In this role, you will aid in the development of models and conduct research to support the Data Science team.

We are looking for passionate people who are excited by the Petal mission.

Approximate internship dates: May 31 - August 19, 2022

Key responsibilities:

Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
Explore and test new data sources to improve our risk and marketing models.
Research new models, algorithms, and enhanced model features to improve our credit scoring and risk models.
Partner with data engineers to validate and deploy solutions in an efficient, sustainable and usable manner.

Characteristics of a successful candidate:

Progress towards a degree in a STEM Major (Science, Technology, Engineering, or Math)
Strong knowledge of statistical and/or machine learning techniques OR strong knowledge of Python (strong SQL is a plus!)

Nice to haves:
Strong preference to rising Seniors or candidates working toward MA/MS/PhD

Petal is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. We’re proud to be different, together.

For our California employment information privacy statement, please click here.


Data Science Manager

Grammarly team members who will be collaborating at our San Francisco hub must be based in the United States.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist Manager, you will:

Have a broad scope and an evolving role in a rapidly growing company.
Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data.
Be a thought leader to influence the product and business partners.
Identify new Product and Growth opportunities.
Provide data-driven solutions to complex product and growth questions.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Preferably has 3 years of experience managing data science teams.
Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience.

Support for you, professionally and personally

Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.

For Colorado-based employment: The salary range for this position is $159,000-$241,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.


Data Scientist

The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientists at all levels of experience—early career, senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:

Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.

Support for you, professionally and personally

Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.

For Colorado-based employment: The salary range for this position is $156,000-256,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.


Lead Data Scientist

ABOUT FANDUEL GROUP
FanDuel Group is a world-class team of brands and products all built with one goal in mind — to give fans new and innovative ways to interact with their favorite games, sports, teams, and leagues. That’s no easy task, which is why we’re so dedicated to building a winning team. And make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.
FanDuel Group is based in New York, with offices in California, New Jersey, Atlanta, Florida, Oregon and Scotland. Our brands include:

FanDuel — A game-changing real-money fantasy sports app

FanDuel Sportsbook — America’s #1 sports betting app

TVG — The best-in-class horse racing TV/media network and betting platform

FanDuel Racing — A horse racing app built for the average sports fan

FanDuel Casino & Betfair Casino — Fan-favorite online casino apps

FOXBet — A world-class betting platform and affiliate of FanDuel Group

PokerStars — The premier online poker product and affiliate of FanDuel Group

THE POSITION Our roster has an opening with your name on it
We are looking for a Lead Data Scientist for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. You will promote effective communication of model outputs and contribute to a collaborative code environment.

THE GAME PLANEveryone on our team has a part to play

Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
Iterate and improve on betting product range to ensure market leading offering
Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
Choose appropriate tools, systems and models to solve large data problems
Troubleshoot and resolve coding and modeling problems presented by others
Proactively seek opportunities or problems to be analyzed
Lead and contribute to multiple strategic projects
Contribute to group strategy, ensuring they reflect priorities for your team and stakeholders
Put together project plans for the Data Science team to follow
Presents to senior leaders confidently and with impact
Construct models, analyses and solutions in response to a question or problem posed by a stakeholder or colleague
Provide data-driven recommendations to stakeholders, articulating complex technical concepts as necessary
Manage the data preparation process from collection through cleaning
Engage with engineering to build scalable tools to accelerate the conversion of data to insight
Build robust predictive models, showing capabilities of feature and model selection
Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
Bring efficiency and automation in the data infrastructure
Create dashboards and data visualizations for analysis and communication
Opportunity to mentor and or coach more junior data scientists
Communicate process and conclusions seamlessly, tailored to the audience

THE STATSWhat we're looking for in our next teammate

6+ years of industry experience in data science, analytics or engineering
Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
Expert predictive modeling capabilities
Strong understanding of engineering standards and practices
Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice)
Expert in Bayesian statistics
Expert with command line tools and GitHub
Object-oriented design and coding skills
Strong verbal and written communication skills
Ability to work across teams, locations and time zones
Willing to work non-traditional hours when applicable
Interest or experience in Sports Gaming and/or Fantasy Sports

THE CONTRACT We treat our team right
Competitive compensation is just the beginning. As part of our team, you can expect:

An exciting and fun environment committed to driving real growth
Opportunities to build really cool products that fans love
Mentorship and professional development resources to help you refine your game
Flexible vacation allowance to let you refuel
Hall of Fame benefit programs and platforms

FanDuel Group is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don't tolerate bias, judgement or harassment.  Our focus is on developing employees so that they reach their full potential.


Data Scientist Experimentation

Over 100,000 businesses and millions of people use 1Password to protect their most important information. Our mission has always been to ease the tension between security and convenience and help people navigate the digital world without fear or friction. Our culture encourages big ideas and new ways of working that help us to make the online world a safer place for everyone.

The Experimentation team at 1Password is responsible for evangelizing the use of data to learn from our users and make better decisions faster.

This role will be responsible for the foundations of experimentation at 1Password. This means being in charge of defining, measuring, and improving metrics that drive business outcomes, not just pulling data and answering questions.

This role will be responsible for:
1) Owning the end-to-end instrumentation and analysis for A/B testing
2) Solving unique problems for privacy-preserving experimentation
3) Making significant impacts in the growth of account acquisition, activation, and retention
4) Being a data advocate across the organization

The Experimentation team is brand new and starts with solid C-level sponsorship. We’re building a new function, which requires us to be ambitious yet realistic. And very scrappy. The starting mandate for the team is around user/account acquisition, so we’ll be working at the top of the funnel and (if we do well) expanding deeper into the product.

This is a remote opportunity within Canada and the US.

What we're looking for:

5+ years of analytics experience, data science, or equivalent applying quantitative, statistical, or ML to improve product growth & activation
3+ years of experience designing and assessing the impact of A/B experiments in a fast-paced team
Knowledge of research design and statistics: defining outcomes, creating test plans with sample sizes and minimum detectable effects, rigor in running tests to completion, analyzing and communicating results, and handling post-hoc investigations
Knowledge of statistical methods from the basics (proportional t-tests) through more advanced, like GLM, time series forecasting, bayesian estimation. When to use which, and when not to.
Fluency with data analysis programming languages (Python / R),
Expert fluency in SQL-based data manipulation - You can talk through how a query works through a window and across a join.
High level of comfort creating dashboards in Looker, Tableau, or comparable software
Reporting and communication - Have examples of being able to explain experiments to multiple audiences at various levels of technical understanding
Experience with a Growth team or building data products
Experience using pipeline/transform tools (like dbt)
Familiarity with best practices in data warehouse design, dimensional modeling, and ETL

What you can expect:

30 days - Seek to understand
Get familiar with data stack and team goals
Identify gaps in measurement

3 months - Start to contribute
Run and support experiments, ideally owning some from ideation through analysis
Work cross-functionally to equip the organization with the tools we need
Solved one major gap identified during the first 30 days

9 months - Scale and grow
Suggesting improvements in process and measurement, increasing experiment cadence/impact
Automating common flows and analyses to make life easier
Expanding experimentation with one cross-functional partner

What we offer:

We believe in working hard, and resting hard. We’re always looking for new ways to support our team members, but here’s a glance at what we currently offer:

Health and wellbeing

> 👶 Maternity and parental leave top up programs

> 👟 Wellness spending account

> 🏝 Generous PTO policy

> 💖 Company-wide wellness days off scheduled throughout the year

> 🧠 Complimentary Headspace membership

> 🩺 Comprehensive health coverage

 Growth and future

> 📈 Employee stock option program for all full time employees

> 💸 Retirement matching program

> 💡 Training budget, 1Password University access, and learning sessions

> 🔑 Free 1Password account (and friends and family discount!)

> 🏦 A You Need A Budget membership

Flexibility and community

> 🤝 Paid volunteer days

> 🌎 Employee-led DEI&B programs and ERGs

> 🏠 Fully remote environment

> 🏆 Peer-to-peer recognition through Bonusly

You belong here.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.


Data Science Manager Monetization

Udemy is looking for a Data Science Manager for our growing Monetization Decision Science team. This team is a critical partner to the company’s overall Pricing and Promotions teams working on optimizing marketplace pricing to grow the business by delivering the right value to its customers.
Our Montenization Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive pricing related decisions at Udemy.

Here Are Some Questions You Could Be Working On:

What is the right price for a course? When should we make price changes?
How does price sensitivity vary across different markets and course characteristics?
How often and when should we promote courses? What is the right level of discount?
How does pricing in our marketplace impact other lines of our business (e.g. B2B offerings)?
How can we balance between long term and short term effects of price changes?

Here Is What You Will Be Doing:

Be a subject matter expert and thought leader in the area of pricing and promotions
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Monetization Decision Science team
Provide both technical and strategic guidance to team members
Develop end-to-end modeling solutions for price optimization, build and maintain relevant data pipelines and workflows
Lead experimentation and causal analysis (beyond standard A/B tests) to support pricing decisions and improve pricing models
Define metrics and build dashboards to track health of the pricing system
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences
Build Udemy’s technical brand through talks, blog posts, and publications

We Are Excited About You Because You Have:

6+ years of relevant experience preferably in the pricing and promotions domain (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design
Ability to communicate effectively with non-technical stakeholders
Strong business and product intuition as well as judgment
Strong data storytelling and data visualization ability
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has strong interest to take ownership and lead while effectively partnering with stakeholders.

Nice To Haves:

Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience

About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.

The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.

For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.

We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work:  Dublin
Fortune: Change the World Company

Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.

Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.


Data Science Manager Consumer Products

Udemy is looking for a Data Science Manager for our growing Consumer Product Decision Science team. This team is a critical partner to the company’s product teams working on optimizing consumer engagement to grow the business by delivering the right value to its customers.
Our Consumer Product Decision Science team relies on quantitative methods and business intuition, and utilize a combination of modeling, experimentation, and causal inference methods to drive the product development process at Udemy.

Here Are Some Questions You Could Be Working On:

How do we incentivize instructors to produce new content types and learning experiences for our subscription product?
What user attributes and behaviors drive trial activation and renewals?
How do we assess the impact of the native mobile experience on learner engagement and retention?
How do we measure the overall health of the mobile experience for learners and instructors?

Here Is What You Will Be Doing:

Be a subject matter expert and thought leader in the domain
Partner with cross-functional leaders to shape the team’s roadmap and drive execution
Manage the day-to-day operations of the Consumer Product Decision Science team
Provide both technical and strategic guidance to team members
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track the health of the product.
Proactively influence prioritization through data-driven insights
Effectively communicate and present to both technical and non-technical audiences.
Build Udemy’s technical brand through talks, blog posts, and publications

We Are Excited About You Because You Have:

6+ years of relevant experience (or 4+ years with post-graduate education such as MS or PhD.) and a background in statistical/ML modeling, optimization, causal inference/econometrics, and experimental design.
Ability to communicate effectively with non-technical stakeholders.
Strong business and product intuition as well as judgment.
Strong data storytelling and data visualization ability.
Strong SQL ability and proficiency with 1+ programming languages (Python strongly preferred).
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously and has a strong interest to take ownership and lead while effectively partnering with stakeholders.

Nice To Haves:

Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)
People leadership experience

About Udemy
Udemy is the world’s largest education platform with more than 30 million monthly visitors.  Through our Consumer and Enterprise businesses, Udemy creates new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world.

The Udemy consumer marketplace offers thousands of up-to-date courses in dozens of languages and provides the tools learners and instructors need to achieve their goals and reach their full potential.

For companies, Udemy Business (UB) offers an employee training and development platform with subscription access to thousands of courses, learning analytics, as well as the ability to host and distribute their own content. Our enterprise platform is among the fastest growing SaaS businesses in the world.  UB has more than 10,000 customers and serves the majority of the Fortune 100.

We are proud to be recognized for our world class employee experience:
Business Insider SF: Best Places to Work Bay Area
Built In Colorado: Best Places to Work
Best Workplaces (Great Place to Work List): #1 in Turkey
Certified Best Place to Work:  Dublin
Fortune: Change the World Company

Udemy is headquartered in San Francisco with hubs in Ankara, Turkey; Austin, Texas; Boston, Massachusetts; Mountain View, California; Denver, Colorado; Dublin, Ireland; Melbourne, Australia; New Delhi, India; and Sao Paulo, Brazil.

Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.


Head Of Data Science Analytics

Yoco is on a mission to help the businesses of tomorrow get started, and get paid – be a part of the team that changes financial services in Africa. Curious. Data-driven. Purposeful. Sound like you? It sounds a lot like us too.
We are a fast-growing African technology company made up of over 350 team members globally. All with a bias for boldness, and a passion for simple, progressive solutions.
Founded in 2015, Yoco is now the payments provider for over 200 000 business owners and processes over $2bn annually.
Your home team at Yoco:
Over the past year, Yoco has invested in growing its Data team (+300% since 2020) and is looking for an experienced Data Science & Analytics (DS&A) leader to continue developing a world-class team which drives business impact. At Yoco, DS&A forms the tip of the data spear and leads business impact by building data products and surfacing actionable insights, enabled by strong technical collaboration with Data Engineering, Analytics Engineering and the Data Ops teams.
DS&A is organised in a hybrid manner, combining cross-functional decentralised teams that live close to the problem space and centralised teams focused on delivering innovative solutions across multiple business areas. You’ll have the opportunity to partner with senior leaders from across the business to drive critical decisions based on insights from data. You’ll also be able to build innovative data products that create value for our customers through delightful experiences. You’ll create a data culture, filled with hypotheses, experimentation and learning.
Responsibilities
This role is responsible for leadership in DS&A across the entire company. Alongside peers in Data Engineering, Analytics Engineering and Data Ops, this role will report into the Director of Data. There are two key responsibilities:
Develop and deliver the DS&A strategy
Identify opportunities for DS&A to contribute towards achieving the company strategy
Assess and prioritise projects and develop a roadmap to accomplish goals
Lead the implementation and roll-out of key projects and data products
Strategic insight delivery, narratives development and impactful communication
Be a thought leader within the business and set the bar for data quality
DS&A team capability development
Manage and support DS&A leads embedded across all areas of the business (including Commercial, Product, Operations, People and Finance)
Develop ways of working effectively for the DS&A practice area, both within embedded and centralised teams
Mentor, grow and develop the team
Recruit and onboard top performers and setting them up for success
Continuously improve the way that the team works
Ideal Candidate:
Background:
An experienced Data Leader with a proven track record of:
* Leading an area of 20+ Data Scientists, Analysts and Managers
* Developing and implementing data products at scale
* Deep experience within a particular domain, e.g. credit modelling, operations research, product analytics, risk modelling, or others.
* Broad experience across many domains, you are comfortable enough to give technical and strategic feedback to data teams on any business problem
Experience in working in either a growth-focused or technology organisation, ideally working together and collaborating with an engineering team, as well as other business stakeholders
Working knowledge of a modern data stack - including tools like Fivetran, Airflow, dbt, Redshift, BigQuery and Looker
General experience:
5+ years experience leading and developing technical team(s)
10+ years experience in a technical role as an analyst or data scientist
Strong communication and team-building skills
Demonstrated ability to create and drive technical and impactful roadmaps for the business, and lead seamless execution
You have built strong relationships with business leaders, e.g. COO, CTO, CFO, CPO, etc.
A technical background, bachelors degree in mathematics, computer science, statistics or similar field
Bonus points:
Experience in Fintech
Experience in emerging markets
Experience in technology scale-ups
What makes working at Yoco great:
Yoco is a business built on an agile foundation, and an evolving base of core lessons and principles. We like to refer to these as the Yoco Formula.
The Yoco Formula - how we create value.
The Yoco formula is a validated approach to work, and a set of behaviours that create maximum value for our customers and help us grow.
Core Values - Our way of working to create value & grow.
Stay Connected
Make Space to Explore
Keep it Simple
Master your Craft
Leadership Principles - How we show up, engage & treat each other
Get to know each other personally
Say what you think and challenge me directly
Be courageous and focus forward
Don’t let ego get in the way
To support this, we have built a role-based organisation where every individual is given the space to focus and develop their innate strengths. Everyone at Yoco has the opportunity to lead a project and become a specialist, enabling flexibility, collaboration and accountability at all levels. You will be working with a diverse, motivated and skilled team that will continuously stretch you as an individual. To learn more about our culture, go to our#YocoLife page or subscribe to our Exposure Gallery.
Join us on a meaningful journey at Yoco, and help enable our merchants to thrive through Open Commerce!


Senior Data Scientist Risk Credit

Please note that as this is a remote based position, we are open to applications from candidates based throughout the UK and EMEA region.
Yoco is on a mission to help the businesses of tomorrow get started, and get paid – be a part of the team that changes financial services in Africa. Curious. Data-driven. Purposeful. Sound like you? It sounds a lot like us too. We are a fast-growing African technology company made up of over 350 team members globally. All with a bias for boldness, and a passion for simple, progressive solutions.
Founded in 2015, Yoco is now the payments provider for over 200 000 business owners and processes over $2bn annually.
The Risk team is the sword and shield in an ever-changing, quickly-advancing technological landscape. The team protects Yoco and its merchants from unscrupulous and fraudulent behaviour, with transaction volumes increasing rapidly. The Credit (Capital) team offers our merchants an innovative cash advance product with unique repayment terms to help them grow their businesses.
As Yoco grows, the risks in trading also evolve and we need to stay one step ahead. The Capital product adjusts to our merchants’ needs. Data plays a key part in this evolution, infusing processes with intelligence, identifying areas at risk of exploitation and proactively planning for growth, rather than simply reacting to it.
Your objective will be to apply your skills and experience, in collaboration with various teams within the area, in support of building smart, scalable, robust and data-driven fraud detection and prevention processes and credit risk modelling and analysis.
We are looking for a data-driven, structured, analytical thinking Data Scientist to help us unlock Yoco’s growth efforts and support in making Yoco a great place to work by unlocking and driving actionable insights and building out the data-driven decision making within the Risk space.
You will report directly to the Data Lead within Risk and Credit; and your role has the opportunity for collaboration across multiple teams across the company. This role is embedded within the Risk and Finance areas.
The Data Scientist we are looking for is a strong all rounder with practical experience in Statistics, Analytics and applied knowledge in Predictive Modelling, Forecasting and ideally Credit & Fraud modelling.
ROLE | WHAT YOU WILL BE DOING?
Yoco is growing quickly! This means the needs of our customers are also quickly changing and expanding. We aim to continually improve the quality of our offerings to merchants and assist them in their journey to grow and thrive.
You would assist us by building methodologies and frameworks to detect and prevent fraudulent activity through Yoco’s platforms. You will also assist in providing a seamless and responsible experience for customers of our Capital offering, as we manage risk while optimising access to credit.
This role is responsible for and will assist with structuring source data systems for accurate fraud reporting and developing predictive modelling for fraudulent transactions. The role is also responsible for and will assist with partnering with Product teams to implement data driven recommendations to manage credit risk and building models to quantify credit default risk for the Yoco Capital portfolio of products.
Key responsibilities:
An experienced Data Scientist with a history of working in a growth-focused or technology organisation, ideally working together or collaborating with the finance, risk, data teams and other business stakeholders.
Comfortable with a variety of Data Analytics tools and platforms from cloud platform databases, SQL, Python, R and front-end tools e.g. Looker, Tableau and Mixpanel. We use Redshift and Looker extensively in this environment.
Proven track record in creating and deployment of Data Science initiatives.
Experience with a variety of Data Science frameworks such as, but not limited to: TensorFlow, Scikit-learn, Keras, Pandas, PyTorch, Numpy.
A strong analytical thinker with a penchant for problem solving and track record of delivering results from deployed solutions, which create business relevant insights.
IDEAL CANDIDATE | WHAT WE ARE LOOKING FOR?
Education:
Degree in Comp Sci/ Applied Maths / Maths / Stats is encouraged (strong work experience can fill this gap)
Background:
5+ years in a Data Scientist role.
Experience with building and deploying models in first or third party fraud, credit risk and optimisation, other business-focused predictive analytics.
Proven track record in creating and deploying Data Science initiatives with experience deploying code suitable for production.
Experience working with engineers, business and data teams to solve complex problems
Strong analytical experience with ability to provide recommendations, answer questions and provide insights to maximise the value of data across the business.
Experienced in Python, R and SQL.
The Yoco Formula:
The Yoco formula is a validated approach to work and a set of behaviours that create maximum value for our customers and help us grow.
Core Values - Our way of working to create value & grow
Stay Connected
Make Space to Explore
Keep it Simple
Master your Craft
Core Behaviours - How we show up, engage & treat each other
Get to know each other personally
Say what you think
Be courageous and focus forward
Don’t let ego get in the way
To support this, we have built a role-based organisation where every individual is given the space to focus and develop their innate strengths. Everyone at Yoco has the opportunity to lead a project and become a specialist, enabling flexibility, collaboration and accountability at all levels. You will be working with a diverse, motivated and skilled team who will continuously stretch you as an individual. To learn more about our culture, subscribe toExposure Gallery
Join us on a meaningful journey at Yoco, and help enable our merchants to thrive through Open Commerce!


Data Scientist Customer Operations

Please note that as this is a remote based position, we are open to applications from candidates based throughout the UK and EMEA region.
Yoco is on a mission to help the businesses of tomorrow get started, and get paid – be a part of the team that changes financial services in Africa. Curious. Data-driven. Purposeful. Sound like you? It sounds a lot like us too. We are a fast-growing African technology company made up of over 350 team members globally. All with a bias for boldness, and a passion for simple, progressive solutions.
Founded in 2015, Yoco is now the payments provider for over 200 000 business owners and processes over $2bn annually.
We strive to delight our customers. The Customer Operations team are on the frontlines, engaging directly with our merchants every day. As Yoco grows, the ways in which we serve our merchants needs to evolve alongside. Data plays a key part in this evolution, infusing processes with intelligence, identifying areas of poor experience and proactively planning for growth, rather than simply reacting to it.
Your objective will be to apply your skills and experience, in collaboration with various teams within the area, in support of building smart, scalable, delightful and data driven operations.
We are looking for a data-driven, structured, analytical thinking Data Scientist to help us unlock Yoco’s growth efforts and support in making Yoco a great place to work by unlocking and driving actionable insights and building out the data-driven decision making within the Customer Operations space.
You will report directly to the Data Lead within Customer Operations; and your role has the opportunity for collaboration across multiple teams across the company. This role is embedded within the Customer Operations area.
The Data Scientist we are looking for is a strong all rounder with practical experience in Statistics, Analytics and applied knowledge in Predictive Modelling, Forecasting and Capacity planning.
IDEAL CANDIDATE | WHAT YOU WILL BE DOING?
Key Responsibilities
Yoco is growing quickly! We’d like to continuously improve the quality of our Customer Support and ensure the team is well resourced in alignment with our growth initiatives. You would assist us by building a framework for accurately assessing workforce capacity to enable efficient and optimal planning of team resources.
We care about our Customers' experience, and are constantly looking to improve. The modelling of sentiment data in a way that enables us to effectively manage the skills and training requirements across our support teams will help to ensure we’re staying one step ahead.
Did we mention that we are growing quickly? With rapid growth, comes interesting challenges in managing inventory, so establishing a forecasting model in support of stock management to programmatically drive order behaviour is key to enabling success within our Supply Chain & Fulfilment area.
IDEAL CANDIDATE | WHAT WE ARE LOOKING FOR?
Background:
An experienced Data Scientist with a history of working in a growth-focused or technology organisation, ideally working together or collaborating with the customer support/success team, data teams and other business stakeholders.
Comfortable with a variety of Data Analytics tools and platforms from cloud platform databases, SQL, Python, R and front-end tools e.g. Looker, Tableau and Mixpanel. We use Redshift and Looker extensively in this environment.
Proven track record in creating and deployment of Data Science initiatives.
Experience with Data Science frameworks; Scikit-learn, XGBoost, Facebook Prophet, PyTorch and with Time Series Forecasting.
A strong analytical thinker with a penchant for problem solving and  track record of delivering results from deployed solutions, which create business relevant insights.
Education:
Degree in Comp Sci/ Applied Maths / Maths / Stats is encouraged (strong work experience can fill this gap)
General Experience:
5+ years in a Data Scientist role.
Experience with building and deploying models for forecasting and workforce capacity management.
Proven track record in creating and deploying Data Science initiatives with experience deploying code suitable for production.
Experience working with engineers, business and data teams to solve complex problems
Strong analytical experience with ability to provide recommendations, answer questions and provide insights to maximise the value of data across the business.
Experienced in Python, R and SQL.
Bonus points/nice to have:
Experience with Salesforce CRM
Experience with Looker
THE YOCO FORMULA - HOW WE CREATE VALUE
The Yoco formula is a validated approach to work and a set of behaviours that create maximum value for our customers and help us grow.
Core Values - Our way of working to create value & grow
Stay Connected
Make Space to Explore
Keep it Simple
Master your Craft
Leadership Principles - How we show up, engage & treat each other
Get to know each other personally
Say what you think and challenge me directly
Be courageous and focus forward
Don’t let ego get in the way
To support this, we have built a role-based organisation where every individual is given the space to focus and develop their innate strengths. Everyone at Yoco has the opportunity to lead a project and become a specialist, enabling flexibility, collaboration and accountability at all levels. You will be working with a diverse, motivated and skilled team who will continuously stretch you as an individual. To learn more about our culture, go to our#YocoLife page or subscribe to our Exposure Gallery
Join us on a meaningful journey at Yoco, and help enable our merchants to thrive through Open Commerce!
Please note…
Yoco encourages applicants from diverse backgrounds to apply. Open positions at Yoco are competitive and we often receive high volumes of applicants. If you have not received further updates on your application after three weeks, you’re welcome to request feedback.


Senior Data Scientist

Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Science & Analytics division is looking for a talented Senior Data Scientist who can help us understand and predict patterns to help research sites and their sponsors plan and manage clinical trials more effectively. If you are empathetic, business-driven, and want to use your data science skills to make a tangible impact in the clinical research community then this may be the role for you.
As a Data Scientist at a fast-growing company, we're looking for people who can effectively balance rapid execution and delivery with innovative data exploration to serve the business most effectively. You have strong opinions, weakly held, and while well-versed technically and mathematically, know when to choose the right technique, for the right job, at the right level of complexity. You will work closely with our other Data, Product, Engineering, and Design groups to help turn targeted R&D around modeling patient, site, sponsor, and clinical logistics behaviors into solutions that can be used to practical benefit.
What You'll Be Working On

Exploring rich historical data from sites, sponsors, and other stakeholders and using it to develop models to help our sponsors make more effective study planning, logistics, and and enrollment management decisions as early as possible
Working with our Data Products division to turn your insights and models into enterprise-ready recommendation systems and other intelligent features for our users
Supporting ways to make protocol feasibility assessments more efficient for novel studies
Becoming intimately familiar with HIPAA, GDPR, and other applicable regulatory and privacy frameworks and how they influence our analytical and model development decisions
Regularly communicating your efforts to the Data Science Lead, Director of Analytics, Head of Data, and other technical/non-technical stakeholders in clear written, verbal, or presentation form
Living our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and, more importantly, people), and being laser-focused on business needs

What You Bring to Reify Health

At least 5 years of professional work experience in an applied data science role dealing with regulated health or clinical data (or a similar highly regulated dataset)
Expertise in several techniques such as (but not limited to): Bayesian statistics and modeling, linear/nonlinear regression, linear optimization, mixed integer programming, supervised/unsupervised learning, expert systems, network analysis, and neural networks
Deeply understands not only how to use a technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
Familiarity (or ability to become familiar) with privacy-preserving or identity protecting techniques and ways to discern bias in models that may impact recommendations regarding diverse and underserved populations
Expertise in Python and/or R (Clojure welcome too!), and deep familiarity with corresponding analytics, visualization, and data processing libraries
Capable SQL skills and ability to navigate and work with data from a variety of internal and external databases (e.g. Postgres), geospatial sources, APIs, and management systems
Understanding of the nuances of testing models and addressing scalability/accuracy of analytical processes in probabilistic systems
Advanced degree in computer science, data science, mathematics, statistics, or other related field
Relevant published or publicized professional or academic work such as open-source contributions, blog posts, or publications


Data Science Lead

Our unique, rapidly growing data streams are enabling unique opportunities to manage clinical trials more efficiently and predictably. The Data Science & Analytics division is looking for a talented Data Science Lead who can help us understand and predict patterns to help research sites and their sponsors plan and manage clinical trials more effectively. If you are empathetic, business-driven, and want to use your data science skills to make a tangible impact in the clinical research community then this may be the role for you.
As a Data Science Lead at a fast-growing company, we're looking for people who can effectively balance rapid execution and delivery with innovative data exploration to serve the business most effectively. You have strong opinions, weakly held, and while well-versed technically and mathematically, know when to choose the right technique, for the right job, at the right level of complexity. You will work closely with our other Data, Product, Engineering, and Design groups to help turn targeted R&D around modeling patient, site, sponsor, and clinical logistics behaviors into solutions that can be used to practical benefit.
What You'll Be Working On

Exploring rich historical data from sites, sponsors, and other stakeholders and using it to develop models to help our sponsors make more effective study planning, logistics, and and enrollment management decisions as early as possible
Working with our Data Products division to turn your team’s insights and models into enterprise-ready recommendation systems and other intelligent features for our users
Ensuring your team develops clean, reusable, and testable code and make use of existing data team libraries and modules.
Supporting ways to make protocol feasibility assessments more efficient for novel studies
Becoming intimately familiar with HIPAA, GDPR, and other applicable regulatory and privacy frameworks and how they influence our analytical and model development decisions
Regularly communicating your efforts to the Director of Analytics, Head of Data, and other technical/non-technical stakeholders in clear written, verbal, or presentation form
Living our data philosophy, which focuses on ethical decision making, being aware of how biased data (and assumptions) can affect results (and, more importantly, people), and being laser-focused on business needs

What You Bring to Reify Health

Minimum of 4 years in a data science-related leadership role with a successful track record of team execution at a growing company, ideally in a space similar to ours.
Demonstrated experience in Agile methodologies and ability to translate business goals into discrete, tactical execution plans while adapting to evolving technical and business constraints.
Expertise in several techniques such as (but not limited to): Bayesian statistics and modeling, linear/nonlinear regression, linear optimization, mixed integer programming, supervised/unsupervised learning, expert systems, network analysis, and neural networks
Deeply understands not only how to use a technique but why it is or is not appropriate in a given situation, with available data, and for specific business needs
Familiarity (or ability to become familiar) with privacy-preserving or identity protecting techniques and ways to discern bias in models that may impact recommendations regarding diverse and underserved populations
Expertise in Python and/or R (Clojure welcome too!), and deep familiarity with corresponding analytics, visualization, and data processing libraries
Capable SQL skills and ability to navigate and work with data from a variety of internal and external databases (e.g. Postgres), APIs, and management systems
Understanding of the nuances of testing models and addressing scalability/accuracy of analytical processes in probabilistic systems
Advanced degree in computer science, data science, mathematics, statistics, or other related field
Relevant published or publicized professional or academic work such as open-source contributions, blog posts, or publications


Senior Data Scientist User Experience

We're looking for a Senior Data Scientist excited to help us revolutionise the way people manage their finances - understand how our customers use Monzo, and what we can do to better meet their needs. This person will help us improve discrete experiences, amplify the value we already provide for a new set of users, or identify totally new product opportunities. If you get excited about evaluating an experience, collaborating with multi-disciplinary teams and setting a product-wide strategy, this might be for you.
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.
We have a strong culture of data-driven decision making across the whole company - and want to embed this further into User Research, using quantitative and qualitative methods to drive how we hypothesise and improve about product development, growth hacking, and ongoing customer engagement.
As part of your role, you'll:

Identify opportunities for improving our user experience. To do this you’ll collect and analyse behavioural, experiment and survey data and support others to do the same.

Build new systems that help us better understand our user experience. You’ll create data pipelines to ensure we’re leveraging the wealth of data across monzo for research purposes, and identifying the metrics that will help us measure the usability of our product. You’ll work with others to put them in place where those metrics aren’t yet captured in the right ways.

Identify the root causes of wider customer experience issues.  You’ll work with multi-disciplinary teams to bring together not just app data but brand insights, app reviews, satisfaction ratings and customer service data.

Using your view of the whole product, you’ll shine a light on the most important parts of the user experience for us to improve. To do that you’ll work with Product Managers, Product Designers, Marketeers, Engineers, Customer Operations and User Researchers and Data Scientists.

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 basic SQL skills that allow you to write custom queries for data analysis
You have experience in conducting large scale A/B experiments
You’re customer oriented. You’ve analysed customer segments, discovered new opportunities, tracked goals or defined target user lists for surveys and you have an understanding of basic statistical concepts like statistical significance.
You bring people together. You collaborate with others to build shared understanding and prioritise actionable insights to get work on the roadmap.

Nice to haves:

You’ve helped companies tailor their products to different user groups by segmenting customers
You have experience improving customer metrics like Net Promoter Score and Customer Effort Scores

Our Process

Initial call with a Monzo Recruiter (30 min)
Initial call with a User Researcher or Data Scientist (30 min)
Task you can choose to take home or do as part of your “on-site” interview (30 mins)
Virtual "on-site" interview with 2-3 folks from User Research, Design, Data or Product teams
No brain teasers or trick questions!

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
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-NB2


Senior Data Scientist Personal Banking

We're looking for a Product Data Scientist excited to help us grow the user base and deepen engagement in personal banking. You'll be responsible for helping us define, measure and meet our goals. You'll have a large scope, solving challenging and ambiguous problems to inform the strategy of what we build next.
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 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 a matrix structure, where you’ll be working day-to-day with the cross functional personal banking team (including designers, marketers, engineers, product managers etc.) but you’ll be part of our Product Data Team and reporting to a Data Science Manager so that you have the best of both worlds.
As part of your role, you'll:

Own the data for personal banking user experience and make this easily available to stakeholders of all levels across the company
Use your experience with A/B testing to design and structure experiments within personal banking that enable the teams to learn and iterate quickly
Use your commercial awareness to solve the problems with the greatest business impact and choose the right approach for your problem
Use your expertise to generate data insights to support the team to set and meet their goals
Actively explore the fundamentals of engagement with Monzo, to make sure we can plan and design product changes based on data
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 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

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.

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#LI-NJ1


Senior Data Scientist Payments

We're looking for a Product Data Scientist excited to help us optimise payments for our users. Our payments teams allow users to save, spend safely and transfer their money to where they need it. They work on integrating with other banks, sending cards to users, processing card payments and building and maintaining our transfer infrastructure. They also run our savings marketplace which allows our users to pick a savings provider with terms and interest rates that suit them and manage their savings directly from their Monzo app. You’ll cover a large scope, helping us understand and improve the user experience and overall performance of our payments 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 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 a matrix structure, where you’ll be working day-to-day with the cross functional payments team (including designers, marketers, engineers, product managers etc.) but you’ll be part of our Product Data Team and reporting to a Data Science Manager so that you have the best of both worlds.
As part of your role, you'll:

Own our payments data and make this easily available to stakeholders of all levels across the company
Use your commercial awareness to solve the problems with the greatest business impact and choose the right approach for your problem
Use your expertise to generate data insights to support the team to set and meet their goals
Actively explore the user journey and performance of payments to enable the team to provide a seamless experience to our users
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
You have experience working in the payments domain

Nice to haves:

You have multiple years of 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

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

Join us as we revolutionize the hospital pharmacy landscape!

Our mission is to wow customers with smart, elegant solutions that help healthcare providers increase efficiency, safety and visibility from manufacturer to bedside.

Our 'vibe' is start-up, but we already have over 700 customers who are tracking medications using our proven solutions. If you have a knack for making complex things simple and an interest in the practical application of artificial intelligence and IoT technologies, we have a place for you!

Kit Check is looking for a Senior Data Scientist to help us refine and grow our suite of healthcare data products to further the company's mission of "Medication Intelligence". Our hospital and pharmacy customers rely on us to keep their patients safe and their pharmacies running smoothly while delighting them with every release. By streamlining their pharmacy's daily routines with our RFID inventory management solution and reducing risk and enhancing their compliance with our controlled substance tracking platform, we're committed to improving medication management for our nation's healthcare providers, and our data operations and products are the backbone of our offerings.

The Opportunity

The central Data team is charged with driving the success of data science and analytics efforts at Kit Check by providing actionable insights, running predictive models, and building a core data infrastructure. We partner with cross-functional peers through all stages: identifying initial RnD projects, building and refining existing models, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Kit check and helps us move toward our suite of Medication Intelligence products. This is a fully remote (virtual) position and is a part of the central Data team.

You can expect to:

Formulate and lead data-driven projects geared toward furthering our medication intelligence strategy.
Produce and disseminate non-technical reports that detail the successes and limitations of each project.
Suggest ways in which insights obtained might be used to inform business strategies.
Partner with our product teams to achieve goals around existing controlled substances models predictions as well as data consumer experiences.
Collate and clean data from various entities for use by Junior Data Scientists.
Delegate to other Data Scientists, while monitoring the performance of newer Data Scientists and providing them with practical guidance.
Selecting and employing advanced statistical procedures to obtain actionable insights.
Cross-validate and test models to ensure their generalizability
Prepare models for production including improving automation and standardizations.
Stay informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
Play a lead role in proposing new predictive models through analysis of behavioral and transactional data.
Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique transparency, and quality documentation.
Raise the skill level of the entire analytics team through the creation of outstanding work, mentorship, and the introduction of better practices, processes, and tools.
Serve as a liaison between engineering, data, and non-technical audiences. This includes critiquing requirements, informing roadmaps, assessing risk, and presenting during customer-facing meetings.

About you:

Qualified with a degree in data science, statistics, computer science, or similar.
Extensive professional experience at a minimum of two companies as a data scientist.
Proficiency in Python, including Jupyter notebooks, pandas, Scikit-learn, NumPy, SCIpy.
Master-level understanding of SQL.
Outstanding team leadership and mentorship abilities. Demonstrable history of conceiving and overseeing data-centered projects.
Experience working with ETL tools, e.g. Stitch/DBT, data pipeline products, and MPP data warehouses like Redshift, Snowflake.
Experience with Amazon Web Services.
Excellent verbal and written communication skills with an ability to advocate technical solutions to fellow scientists, engineering teams, and business audiences to inform business decisions.
Capacity to foster a healthy work environment that relies on teamwork between various data disciplines.
Prior track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and drive decisions
Specializations in sophisticated analyses and regularly use statistical methods in your work.
Ability to break complex problems into narratives that are concise, actionable to express your recommendations.
Acted as a mentor, guiding others to make their own work better and more efficient
Track record of dealing well with ambiguity, prioritizing trade-offs, and delivering results in a very dynamic environment

Nice to have:

Master’s degree or Ph.D. in computer science, statistics, information systems, economics, mathematics, or similar
Multiple companies’ worth tenured experience working with large, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models.
Deep experience with both supervised learning methods (linear and logistic regression, time-series modeling, generalized linear models, decision trees, etc.) and unsupervised learning methods (K-means, clustering, etc.).
Experience with AWS Machine learning projects including Sagemaker.

What you'll get from us

Opportunity to build a data team culture within the organization and to shape a data team that has built an industry-leading product.
A strong voice in what we work on, how it works, and how we build it
Trust in your sense of ownership, estimations, and design decisions
A budget for training and career development
Coworkers you'll learn from and who are looking to learn from you
Opportunities to solve problems of scale, technical debt, and security to redefine what’s possible in medication intelligence

Our culture
Kit Check’s culture is built on collaboration and innovation. There’s room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry—and have fun while doing it.

Interested?
If helping us define new data-driven medication intelligence products as well as improving products that have a great track record with our customers sounds like the opportunity for you, we'd love to talk!

This position is a remote position and open to applicants in the continental United States.

Why Kit Check?
We truly believe that where you work matters and we want happy employees. So join us on our mission – we intend to have a heck of a good time as we get there.
-Competitive salary
-Time off when you need it – unlimited vacation days!
-Generous insurance coverage
-401k program with a company match
-Employee stock options
-Fun, collaborative culture!

Equal Opportunity Employer Veterans/Disabled