Data Scientist

Summary
The Data and Analytics team is a nimble and highly impactful team that provides critical guidance, insights, and strategic frameworks to the senior leaders in the organization. As an integral part of the team, the Data Scientist will use sophisticated methods to extract meaning from large volumes of data in order to guide the strategies and roadmaps of various business units, often working alongside stakeholders in the process. Our guiding principle is “truth in analytics” and the incumbent will embody the same.
The Data Scientist will be involved in all things analytics; leveraging statistics, machine learning methods, cloud engineering, and business intelligence tools to solve problems. They will also leverage entry-level data engineering understanding (SQL, Python, and Linux) to improve the team’s data ecosystem within Google Cloud Platform. The ultimate goal of a data scientist is to drive the optimization and improvement of products, marketing, and business strategies at Pearson.
General Responsibilities
Specific duties and responsibilities include, but are not limited to, the following. Other duties and responsibilities may be assigned within reason.
Create cloud engineering solutions to support analytics teams. This includes cloud functions, extract- transform-load scripts, and batch processing jobs.
Select and use the appropriate statistical tests and machine learning methods to examine business hypotheses.
Create and mine datasets in Google BigQuery and other company data sources to support analyses.
Work with stakeholders in the organization to identify opportunities for leveraging analysis that drives business solutions.
Coordinate with other engineering teams to enhance the Data and Analytics team’s data ecosystem.
Explore new technologies to enhance the Data and Analytics team’s data ecosystem.
Aid in the development of best practices used in business metrics analysis.
Support process improvement discussions with stakeholders informed by analytical insights.
Participate in business partner-facing presentations and meetings as needed.
Support a team of analysts in maintaining the data quality and governance of new and existing data sources and pipelines.
General Qualifications
4-year degree from an accredited institution in a technical field, with coursework in advanced statistics (for example: Engineering, Physics, Information Technology, Computer Science, Business Analytics, Mathematics, Statistics, Economics, and related fields) OR combination of education and experience required (advanced degree preferred but analytics experience will be strongly considered).
Two (2) years of experience writing complex queries using SQL.
Prior experience with Data Science languages like Python, and/or R. You’ll be expected to pass a simple assessment that shows you understand basic programming concepts (variables, loops, conditions, functions, and basic data structures)
Prior experience using statistical (e.g., correlations, regressions, clustering, A/B testing, behavioral modeling, revenue attribution etc.) and/or machine learning techniques to solve problems.
Prior experience using Git-based repositories.
Ability and interest to learn, research, and apply new technologies and methods for solving business problems.
Ability and interest in learning new computer languages for dealing with Engineering problems (e.g. Java, NodeJS, Bash Shell, Scala)
Prior experience operating in a Cloud Platform (Google Cloud Platform preferred, but AWS/Azure is fine).
Previous experience or interest in developing clean datasets.
Ability to work within a cross-functional team setting and shifting priorities.
Good communication and interpersonal skills. Ability to interact with diverse technical and non-technical groups.
Supervisory Responsibilities
None
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the Colorado, California, Washington State, and New York City laws, the pay range for this position is as follows:
Minimum full-time salary range is between $95,000.00 - $100,000.00
This position is eligible to participate in an annual incentive program, and information on benefits offered is here  here  .
#LI-REMOTE
Learning is the most powerful force for change in the world. More than 20,000 Pearson employees deliver our products and services in nearly 200 countries, all working towards a common purpose – to help everyone achieve their potential through learning. We do that by providing high quality, digital content and learning experiences, as well as assessments and qualifications that help people build their skills and grow with the world around them. We are the world’s leading learning company. Learn more at pearsonplc.com.
Job: GENERAL BUSINESS OPERATIONS
Organization: Virtual Learning
Schedule: FULL_TIME
Req ID: 9925
#LI-REMOTE


Lead Data Scientist

About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.

Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology.  Our purpose is to help government to better serve its citizens.  Redhorse Corporation offers a proven approach to mission-focused innovation.  Design thinking helps us understand customer problems and develop better ways to solve them.  Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible.  We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as our Lead Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Delivery Team Leader will be responsible for daily planning and conduct of team activities along with the overall responsibility for team performance against the assigned Platform Backlog. This position will be based in National Capital Region offices in the Rosslyn neighborhood of Arlington, VA.

Essential Functions:

Manage a Data Science delivery team of one data scientist and two data analysts performing work on the government-provided PANDA platform.
Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
sustain existing WUC predictive failure models
support selection and analysis of new WUC predictive failure models
field newly approved WUC predictive failure models
generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
participate in user and stakeholder engagements and technical discussions
gather and provide feedback on best practices and recommended enhancements to the platform
document work performed in technical reports

Minimum Basic Requirements for Skills, Experience, Education and Credentials include:

US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current and active Secret security clearance will not be considered for this role.
Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
Data Scientist with 8 years of experience and experience in failure prediction or predictive maintenance work.
Understanding of Weibull distribution and use for modeling part failures
Proven ability to drive key client communication and expectations
Experience engaging clients and developing relationships
Strong communication skills and ability to understand business functionality
Ability to foster positive business relationships
Proven leadership abilities and interpersonal skills
Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
Able to travel as needed to meet with government customers and stakeholders

Preferred Qualifications include:

Experience with sensor-based failure predictions and modeling
Experience with Natural Language Processing

Executive Order Requirement:
While currently on HOLD, Redhorse recognizes that we may need to comply with Executive Order 14042 which requires Federal Contractors to ensure all U.S. new hires be fully vaccinated for COVID-19. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled


Data Scientist

About the Organization
Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform.  The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts.

This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.  Our mission is to change the way government interacts with and uses data and technology.  Our purpose is to help government to better serve its citizens.  Redhorse Corporation offers a proven approach to mission-focused innovation.  Design thinking helps us understand customer problems and develop better ways to solve them.  Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible.  We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Essential Functions:

Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
Sustain existing WUC predictive failure models
Support selection and analysis of new WUC predictive failure models
Field newly approved WUC predictive failure models
Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
Participate in user and stakeholder engagements and technical discussions
Gather and provide feedback on best practices and recommended enhancements to the platform
Document work performed in technical reports

Minimum Basic Requirements for Skills, Experience, Education and Credentials include:

Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
Understanding of Weibull distribution and use for modeling part failures
Proven ability to drive key client communication and expectations
Experience engaging clients and developing relationships at the highest levels of the Federal Government
Strong communication skills and ability to understand business functionality
Ability to foster positive business relationships
Proven leadership abilities
Excellent communication and interpersonal skills
Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
Able to travel as needed to meet with government customers and stakeholders

Preferred Qualifications include:

US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current and active Secret security clearance will not be considered for this role.
Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
Experience with Predictive Maintenance / Logistics
Experience with sensor-based failure predictions and modeling
Experience with Monte-Carlo simulation and calculation of confidence levels

Executive Order Requirement:
While currently on HOLD, Redhorse recognizes that we may need to comply with Executive Order 14042 which requires Federal Contractors to ensure all U.S. new hires be fully vaccinated for COVID-19. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled


Senior Data Scientist

So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Senior Data Scientist role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.
A day in the life could include:

Development of GLM and tree-based models to predict profitability of each insured.
Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
Build ensemble algorithms to predict customer retention & conversion
Automation of Kin’s direct mail strategy
Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.

I’ve got the skills… but do I have the necessary ones?

Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
Masters / PhD in a technical field preferred
Experience developing GLMs & tree-based models
Experience mentoring and providing technical oversight to ML teams
5-7+ years working experience developing ML models
Insurance experience preferred
Familiarity with tools used to develop and implement predictive models (i.e. Domino Data Labs, Sagemaker, Docker, etc…)
Experience interfacing with business partners to define data science projects and solutions
Must have experience in applied mathematics or statistics
Experience in programming in Python and understanding of the software development life cycle
Excellent communication skills, both oral and written
Familiarity with natural language processing models a plus
Interest or experience in highly regulated and / or startup environment(s)
Passion for telling stories with data

Oh, and don’t worry, we’ve got you covered!

Medical, Dental and Vision Insurance
Flexible PTO policy
Very generous equity options and 401K
Parental Leave
Continuing education and professional development
Disability and Life Insurance
The excitement of joining a high-growth Insurtech company and seeing your work make an impact


Sr Data Scientist

SENIOR DATA SCIENTIST
Remote Role (US Preferred)
About Vinli
Vinli’s team is transforming the mobility industry via our next generation data intelligence platforms. Our passion is building products and services that unlock the true value of connected cars by showing drivers, passengers and organizations the potential hidden within their vehicles' data. We were founded in 2014 and are backed by some of the biggest names in transportation (Cox Auto, Samsung, Continental) venture capital (First Round Capital, Westly Group) and energy (E.ON). We are partnered with some of the largest players in the mobility industry – including ALD Automotive. Remote work has been a successful part of our cultural DNA since long before 2020. Future members of our team should be intellectually curious, self-starters whose work history demonstrates the courage to create and the maturity required to bring products to market.
About The Role
Vinli is looking for exceptional Data Science talent to add to an already amazing team.  You’ll have the chance to work with the latest big-data technologies and rich, diverse data sets in an agile, cloud-native environment.  As a Sr. Data Scientist at Vinli, you’ll work in partnership with a group of amazing engineers to transform your insights into impactful products and beautiful analytics experiences for our customers.
You should have a background in a quantitative or technical field,  experience working with large data sets, and experience in data-driven decision making. There will be many opportunities to forge your own path and demonstrate individual excellence here at Vinli, all while pulling together with a team who is ready to support you and eager for your help. Plus, we have a lot of fun together!  Join us in creating the future of mobility.
Responsibilities
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our existing and potential future customers interact with automotive data, tangential data sets, and Vinli analytics productsPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesInform, influence, support, and execute our product decisions and product launchesSupport Vinli’s data science operations in four key ways:Product Operations: Forecast and propose product team goals. Design and evaluate experiments (A/B Testing). Monitor key product metrics. Explore & understand root causes of changes in metrics. Build and analyze dashboards and reports. Build key data sets to empower operational and exploratory analysis. Evaluate and define metrics.Exploratory Analysis: Perform research to develop an understanding of ecosystems, user behaviors, and long-term trends. Identify new levers to help move key metrics. Build models of user behaviors & segmentation for analysis or to power production systems (for example, Crash Detection).Product Leadership: Influence product teams through presentation of data-based recommendations. Communicate state of business, experiment results, etc. to product teams. Spread best practices to analytics and product teams. Write case studies to help promote Vinli as a thought leader in the data science & analytics industry.Data Infrastructure: Build systems which truly scale by leveraging the latest big data architectures. Automate analyses via high performance ETL pipelines in SQL and Spark.
Required Qualifications
5+ years working experience as a business-oriented data scientist or data analystMaster’s degree in statistics, mathematics or related analytical discipline preferred (PhD a plus)Proficiency in statistical models and thinking (probability, regression, segmentation)High Proficiency in SQL, Python, and SparkExperience with applied statistics or experimentation (i.e. A/B testing) in an industry setting Experience communicating the results of analyses to leadership teams to influence the strategy
Preferred Qualifications
Experience in in the automotive & insurance industries and/or experience working with automotive dataPrior experience in price optimization and consumer segmentation for enterprise products2+ years experience in a fast-paced startup environment
About Our Ideal Candidate
You thrive in challenging environments that require collaborative problem solving.You prefer to spend your time coding and collaborating, not in meetings.You feel pride & responsibility seeing the product you worked on meet the real world for the first time.You are capable of independently prioritizing your duties and still work well with a team.You can both accept and provide thoughtful, respectful constructive criticism.
Benefits
Vinli offers competitive benefits such as health care* (including medical, dental, and vision) and a highly flexible PTO policy. In addition, we will work with you to support individual career development opportunities such as conferences, advanced training, and certifications. Vinli transitioned to fully remote operations in March 2020, but we have a longstanding history of operating & supporting successful remote teams to drive a productive, professional, and enjoyable remote work culture.
EEO Policy Statement
We are an equal opportunity employer. We strictly prohibit unlawful discrimination or harassment of any kind, including discrimination or harassment on the basis of race, color, national origin, ancestry, religion, veteran status, age, pregnancy status, sex, gender identity or expression, sexual orientation, marital status, mental or physical disability, medical condition, or any other characteristics protected by law. We also make all reasonable accommodations to meet our obligations under laws protecting the rights of the disabled.
Vinli Core Values
Integrity – Doing what you say you will do at Vinli is our way of building trust among our team members, partners, investors and vendors.  We believe that maintaining integrity requires an openness and empathy in sharing goals and challenges with others. Drive to Innovate – People at Vinli don’t just love to learn, they feel compelled to use their knowledge to make our Company and the world a better place.  We believe in learning from our mistakes and always challenging ourselves to innovate - from the biggest product decisions to the smallest processes. Joyful Work Environment – Loving where you work isn’t about ping pong tables and free snacks.  It’s the feeling that you wouldn’t want to be on a project with any other team.  It’s the feeling that you can get creative energy just by showing up to work.  It’s the feeling that your entire team respects your life away from the job and understands how work impacts it.  At Vinli, we believe in building camaraderie and joy in our environment by supporting and encouraging each other every day.


Data Scientist

Telesign connects, protects and proactively defends companies, customers and the digital interactions between them. With powerful AI that delivers identity with speed, accuracy and global reach, we enable Continuous Trust. Empowering companies to transact, communicate and engage with their customers free of fear, Continuous Trust makes the promise of the digital economy possible.
The Data Science team at Telesign is responsible for both practical and R&D efforts. You will work closely with other data scientists, the product team, and engineering, to ensure a seamless delivery of ML products applied to complex and very large datasets. You will get an amazing opportunity to work on cutting edge data science platforms built on serverless AWS streaming architecture.
Essential Requirements:

Bachelor's degree in Computer Science, Data Science, Information Technology, or related technical or quantitative discipline/field
Curious about business industry and product development
Cross-functional collaboration experience
Ability to research and present to the team on latest technological and data science topics
3+ years of "hands-on" experience in several of the following:

Significant experience in popular Python packages such as numpy, pandas, sk-learn, xgboost
Experience manipulating data in Spark
Previous experience working with SQL and NoSQL databases (such as DynamoDB)
Experience delivering, evaluating, and iterating on models in production
Conceptual understanding of statistical methodologies and many machine learning algorithms with demonstrated application
Data visualization experience with packages such as matplotlib, plot.ly

Preferred Qualifications:

Experience with some of the following specializations: anomaly detection, network analysis and active learning
Previous hands-on experience in Docker and AWS Sagemaker
Familiarity with Tensorflow/Keras

About Telesign:
Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications.
Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation.
Telesign also participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.
#LI-Remote
Telesign does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.


Lead Data Scientist Zynga Games

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an experienced Data Science Lead to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role is focused on leveraging our first-party data from Zynga and Take Two to improve the performance of our platform for mobile advertisers, and will partner closely with our data and platform engineering teams to prototype and deploy new signals in our bidder.
Impact you will make:

Explore and develop expertise with cutting-edge infrastructure for model development, deployment, and observability
Build a team of motivated, resourceful data scientists working on a business-critical and highly visible product
Produce new methods and workflows for leveraging first-party data sets
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with game studios and advertisers on the delivery of results

Who you are:

BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5+ years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
1+ years of Data Science or Software Engineering team leadership experience
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience working with large-scale data sets across a variety of data sources
Track record of clear communication, successful project management, and collaboration with product or business teams

The following experience would be a plus:

Hands-on with deep learning in production pipelines
Ad Tech or Mobile game industry

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Lead Product Data Scientist

We are looking for a Lead Product Data Scientist to join our Data Science & Engineering team and lead the data analytics efforts for our core booking experience vertical. You will partner with our Product and Software Development teams to develop the analytics frameworks, KPIs, experimentations, and deep dive analyses for our core platform, directly influencing our product strategy, prioritization, and delivery. You will be responsible for leading projects that not only help us measure the success and impact of existing and new product features, but also help us understand user behavior and opportunities for product improvements. The individual in this role must be highly motivated, a self-starter with a strong track record of achievements, an obsession for rigorous work and bias for action, and extraordinary communication abilities to lead cross-functional initiatives with both technical and non-technical stakeholders.
If you are passionate about travel, about working on both strategic project and hands-on implementation, and relate to our vision and DNA, please apply.
Here’s what you’ll do:

Partner with product and engineering stakeholders to build data analytics to drive the product strategy, define the roadmap and features of HE’s core booking platform

Design and evaluate experiments to understand the impact of product changes, and translate statistical analyses into clear, concise learnings

Build and monitor success through KPIs, customer behavior data in order to inform product iteration and drive successful performance.

Act as the expert for all product metrics and own tracking of trends, estimation of impact of new features, and all insights related to our users’ journey on the core booking platform (including conversion, segmentation and retention analyses)

Work cross-functionally to instrument user events for all our products ensuring appropriate taxonomy and data governance through Amplitude

Answer ambiguous, unstructured business questions with comprehensive data analyses

Foster a culture of data-driven insights across the organization

Here’s what we’re looking for:

Bachelor’s degree in statistics, economics/econometrics or related quantitative field

5+ years working as a product data scientist/analyst or in a similar role

Experience with web analytics and optimization of conversion / click-through

Experience developing KPIs and OKRs as well as metric goals

Experience analyzing experiments (A/B tests)

Demonstrated ability to analyze large data sets, identify trends, conduct root cause analysis, and present findings

Extensive experience building complex SQL queries, using Python for data/statistical analysis, and building powerful visualizations and reporting

Excellent communication skills and the ability to summarize complex analyses for a non-technical audience

Logically and strategically minded, recognizing that the most impactful but difficult to implement option may not be the most appropriate

Excellent communication skills with the ability to distill complex issues and insights to non-technical audiences

Experience in eCommerce or travel industry a plus

Cash Compensation:

In addition to a compelling equity package, a reasonable expectation for total cash compensation for this role is between $140,000 - $180,000/year (made up of base plus bonus). Final offer amounts are determined by multiple factors, including prior experience, expertise, and may vary from the amount above.

Remote opportunities:

This role is eligible for remote work, and you can work from anywhere in the U.S.


Senior Data Scientist

The Team ❤
You will join a Data team that is here to build up and serve a best in class data platform to the whole company. Your role will be focussed on developing and deploying machine learning models which aim to tackle fraud. In this role you will have a huge opportunity to drive real value in the company.
Tech Stack 💻
GCP, BigQuery, DBT, Looker
What you’ll do 👀

Develop and deploy machine learning models that are able to detect fraudulent behaviours; reducing fraud and risk to the company

Proactively drive forward initiatives to improve our fraud controls through advanced analytics and machine learning

Conduct deep-dive analysis in order to identify trends in fraudulent behaviours and propose data-driven mitigation insights with a goal of reducing fraud

Contribute to designing our data science platform for efficient model training and experimentation

Work in a cross-functional team with Product, Data Science, Engineering etc

As a Senior you will be expected to:

Mentor and coach other members of the team
Contribute to our overall approach and standards across the machine learning workflow

You should apply if: ✅

You have a proven track record of building, deploying and maintaining machine learning models in a production setting
You have extensive experience working with Python and SQL
You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests
You have the ability to clearly communicate complex results to both technical and non-technical audiences
You have either had experience with some of our tech stack or are confident you can cross train and up skill quickly
You are proficient in English, both written and spoken
You have a self-starter, curious mindset and you proactively identify opportunities which lead to a real impact on the company

Bonus points if:

You have experience working with Google Cloud Platform
You have previous experience working in fintech
You have knowledge of cryptocurrency

Research has shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.

Logistics 🛠

Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Zoom and tends to consist of the following stages:

Intro call with hiring manager (30 minutes)
Remote take-home task
Technical screening (60 minutes)
Final interviews (90 minutes)

Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.


Senior Data Scientist Nlp

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


Staff Product Data Scientist

Hiring Ranges:
US Tier 1 Locations: $163,000.00 USD - $240,000.00 USD
US Tier 2 Locations: $150,000.00 USD - $220,000.00 USD
US Tier 3 Locations: $139,000.00 USD - $203,000.00 USD
To learn more about our Hiring Range System, please click this link.
At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Staff Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques.  You have strong interest in honing your technical skills further on real-world data.  You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:

You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.

Your Professional Profile

You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set.  Experience comes in all forms and personal projects count.  We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R.  You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.

About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R1780


Data Science Manager

The Data Science team builds production machine learning models that are the core of Signifyd's product.
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone.
Together we help each other develop our skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors and team leads. The challenges of working remotely aren't new to us and we have experienced iterative improvements to our remote culture.
How you’ll have an impact:

Owning the decisioning performance for a group of enterprise merchants with household names, executive attention, and a significant bottom line impact to Signifyd.
Collaborating with internal stakeholders across Customer Success, Risk Intelligence, Sales and beyond.
Leading a team of Data Scientists and helping them set goals, collaborate, and provide vision and guidance on key areas to scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python
Working with distributed data pipelines

Past experience you’ll need:

A degree in an analytical field
2+ years of experience in people management with experience building teams, growing talent and working across departments.
At least 4 years of post-undergrad work experience required
Strong stakeholder management skills
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line

Experience we love to see:

Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code

#LI-Remote
(Colorado and New York City only*) Minimum salary of $160,000 + bonus + equity + benefits. Our salaries are determined by role, level, and location. The salary minimum displayed on each job posting reflects the minimum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Benefits in our US offices:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Mental wellbeing resources
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag


Lead Data Scientist

Job DescriptionHealth Data & Management Solutions, Inc. (HDMS), a subsidiary of CVS Health, is a premier healthcare data analytics company. We work with leading Fortune 500 employers, health plans and provider groups. We transform and enhance claims, eligibility and a wide variety of other data inputs into a high-value decision-support asset for our clients.  Over 7,500 users at more than 100 customers use our web-enabled analytic platform for healthcare business intelligence.  HDMS is seeking a Lead Data Scientist to join our Customer Experience Team. The Lead Data Scientist is responsible for helping HDMS meet and exceed its corporate goals and expectations. You will be responsible for two distinct areas of responsibility: (1) leveraging their expertise in designing and executing on the analytic plans for key employer clients and offering support for other HDMS account teams; (2)  leading the relationship and project management of key employer clients, and will work with an established team composed of clinical, analytic, data science, and customer experience resources.In this role, the Lead Data Scientist supports frequent calls and onsite visits with customers through project management of ongoing and new initiatives with the client.  You will develop and deliver on clients’ analytic agendas based on business needs, presents observations and recommendations to clients, coordinates with a diverse, interdisciplinary internal team supporting client analytics.  You will also interface and collaborate with benefit consultants and other advisors, as needed. Furthermore, you will:Coordinate with Data Operations in identifying and researching client data related issues.  Be responsible for client issue management and issue triage, overseeing data quality assurance for clientsContribute to successful and timely recurring data refreshesServe as first-line product expert to clientsIdentify opportunities for additional revenue by developing additional analytic use cases.To be successful, you will utilize your excellent project management and organizational skills, plus your strong  communications and analytical skills to distill complex findings into simple explanations. A demonstrated passion for teamwork and solving business problems will also be key to your success.
Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.  The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications10+ years of complex analytic experience required, preferable using large claims databases to identify cost, utilization, and population health trends.Experience using analytic solutions for very large databases required. Experience in employer-sponsored healthcare required.  Experience in consultative selling required. Strong relationship management experience with complex, flagship client relationships required.
Preferred QualificationsExperience with non-claims data sources within the employer plan-sponsored ecosystem preferred.  Willingness to learn new analytic methods.Graduate Degree or Professional licensure preferred.
EducationBachelor’s degree or equivalent experience required
Business OverviewBring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.  Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.  We strive to promote and sustain a culture of diversity, inclusion and belonging every day.  CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.  We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Apply


Senior Data Scientist Payor Relations

Job DescriptionThe Data Science and Optimization team is responsible for development of industry-leading analytics solutions to enable a roadmap that drives the technology development & innovation, while delivering high-quality and high-value solutions. This position will be reporting to the Senior Manager of Data Science. The Sr. Data scientist will leverage their deep technical and institutional expertise to drive ML solutions in payor relations and retail analytics while developing products:• That optimize the drug prices at 9700+ pharmacy locations• That enhance customer experience in our retail pharmacy stores. The ideal candidate should have deep AI/ML expertise and a collaborative mindset to inspire the team, align cross-functional stakeholders, and deliver efficient result. They should be able to leverage technology to engage with business stakeholders across the enterprise to work on new applications of data science in payor relations domain. They would be responsible for routine testing of ML solutions to ensure results are consistent with business requirements.We are looking for a candidate that has an ownership mindset to lead a workstream with minimal supervision and has the energy to inspire new initiatives by applying state-of-the art ML/AI and optimization techniques for generating higher impact.The candidate must be experienced in developing end to end solutions across the data science product pipelines with adequate knowledge in fields of data engineering, ML modeling, visualization, server deployments, distributed database management, MLOps and statistics.Responsibilities include• Lead development of complex ML pipelines and statistical models to grow business value by improving our pricing operations• Leverage technology depth to engage with key leaders across the enterprise to identify new applications of artificial intelligence in payor relations • Gather business requirements from various stakeholders and lead analysis of massive datasets to synthesize strategies and tactics to solve complex problems• Conduct or coordinate appropriate testing of data/ML solutions to ensure results are consistent with business expectations• Present and communicate meaningful insights obtained from ML model results to technical and non-technical audiences including internal stakeholders and senior leadership
Pay RangeThe typical pay range for this role is:Minimum: 90,000Maximum: 180,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.  The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications• 3+ years of relevant experience working in data science with a track record of delivering insights and business impact• 3+ years of experience with advanced machine learning techniques, such as deep learning, natural language processing, computer vision and reinforcement learning.• 3+ years of expertise using data science, programming, and visualization tools such as Snowflake, SQL, cloud-based ML Ops tech stack and Tableau• Ability to engage with senior business stakeholders, execute level communication and influencing skills• Highly motivated individual willing to upskill with an ability to work in an extremely fast paced environment both individually and with a team. • Prior experience using and managing projects leveraging Cloud technologies (Azure, GCP, AWS, Databricks) • Expert level programming skills in Python or R
Preferred Qualifications• Strong analytics and data skills including solid training in statistics and data analysis, understanding of data management and visualization, ability to interpret outcomes of machine learning models• Domain expertise in time series analysis, demand forecasting and pricing analytics having mastered the techniques across spectrum of complexity – Tree based models, ARIMA, deep learning based time series models.• 3+ years of hand-on experience building neural networks in Tensorflow, Pytorch or Keras for processing structured and unstructured data for applications across industry domains.• Expertise in application of optimization techniques (Mixed Integer, Linear Programimg) and simulation. • Robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc.• Highest level of attention to detail when working within legal and complianceregulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data.
Education• Bachelor’s Degree required• Master’s degree or PhD in Statistics, Computer Science, Mathematics, or related STEM field is preferred.
Business OverviewBring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Apply


Data Science Manager Iap Roas Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Manager of Data Science to join a team focused on the development of IAP ROAS (Return On Advertising Spend) Machine Learning models that power our real-time bidder, one of the most exciting and important products within Chartboost. These models help predict the propensity for a user to spend money within a mobile game, one of the key KPIs our advertising partners measure for the success of their User Acquisition strategies. The system powering this product must deal with 100,000’s of requests per second and presents unique engineering challenges.
Impact you will make:

Build and manage a team of Data Scientists that has a focus on maximizing the IAP ROAS for our customers
Mentor team members and help guide them in their career development
Design and test predictive models at large scale that control real money
Find new and creative ways to utilize the massive piles of data we have using both supervised and unsupervised methods
Generate insightful and actionable information driving ranking and revenue performance by using rigorous scientific and statistical methods
Train and tune learning models offline, provide clear guidelines for A/B testing and production launch
Analyze millions of structured and unstructured data points and identify meaningful features/signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
3 to 5 years of practical experience in a Data Science or Machine Learning role
2+ years of experience managing a Data Science team
Diverse exposure to many different Machine Learning and modeling techniques such as NLP or deep networks as well as traditional modeling techniques
Ability to make progress independently: you know enough SQL to pull your own data and have mastered a programming language enough to assist you in analysis
You have a sound understanding of Data Science and Machine Learning principles

The following experience would be a plus:

Ad tech and/or Mobile space

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Science Manager Ad Roas Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Now we’re looking for an exceptional Data Science Manager to lead a team focused on the development of our product for advertisers who want to optimize their UA efforts toward ad revenue. Ad revenue-generating games are a core part of our advertiser client base, and we are dedicating a group of data scientists to refine the predictive models and feature pipelines to grow this offering.
Impact you will make:

Build a team of motivated, resourceful data scientists working on a business-critical and highly visible product
Be a mentor and thought leader for data scientists and machine learning engineers
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and observability
Propose and engineer new model features from our continuously growing and diversifying stores of data
Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
Collaborate closely with Business and Product teams to co-own the delivery of results for clients

Who you are:

BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5 to 7 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
1 to 2 years of Data Science or Software Engineering team leadership experience
Experience with continuously-deployed and frequently-retrained production ML models using a distributed training framework such as Spark, Tensorflow, or Pytorch
Experience using a framework such as Airflow for ETL pipelines development for large and/or fast data
Experience designing and implementing successful data products
Experience in ad tech or mobile game industry
Track record of clear communication, successful project management, and collaboration with product or business teams
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL

The following experience would be a plus:

GCP Data Scientist certification

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Lead Data Scientist Ios Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Lead Data Scientist to join our iOS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. The iOS team will be in charge of designing and implementing solutions for privacy preserving advertisements that would respect the privacy of our users.
Impact you will make:

Own responsibility to solve real data science business problems at scale
Lead and mentor a group of Data Scientists to successfully deploy elegant solutions
Be aggressive at finding new opportunities to deliver customer value
Take projects end to end from concept to production and beyond
Design and test predictive models at large scale that control real money
Collaborate closely with Product, Data, and Engineering teams to build new features and infrastructure
Define, advocate, and maintain high standards for data quality
Develop best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in a Data Science or Machine Learning roles
Proven experience leading Data Science or Machine Learning projects from conception to completion
You are passionate about team dynamics and improving team efficiency
You have a sound understanding of Data Science and Machine Learning principles
Strong experience in improving performance of queries and data jobs and scaling the system for exponential growth in data
Hands-on experience in large scale production grade machine learning systems.
A willingness to branch out to learn new domains/ approaches and make progress independently.
1+ years of experience managing teams

The following experience would be a plus:

Ad Tech or Mobile game industry
Privacy Preserving Advertisement

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Senior Data Scientist Iap Roas Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Senior Data Scientist to join our IAP ROAS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. Chartboost empowers developers to earn high CPMs while connecting marketers to highly engaged audiences through immersive ad experiences. The ROAS team will be in charge of designing and implementing solutions for maximizing the return on advertising spend (ROAS) for our customers.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Develop features in Python, SQL and Scala to improve model performance

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
3-5 years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and data jobs for model training
Experienced with Python and Scala
Hands-on experience in large scale production grade machine learning systems.
A willingness to branch out to learn new domains/ approaches and make progress independently.

The following experience would be a plus:

Ad tech and/or Mobile Game Industry

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Senior Data Scientist Zynga Games

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an experienced Senior Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role is focused on leveraging our first-party data from Zynga and Take Two to improve the performance of our platform for mobile advertisers, and will partner closely with our data and platform engineering teams to prototype and deploy new signals in our bidder.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and data jobs for model training

The following experience would be a plus:

Hands-on with deep learning libraries
Ad Tech or Mobile game industry

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Senior Data Scientist Ios Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Senior Data Scientist to join our iOS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. The iOS team will be in charge of designing and implementing solutions for privacy preserving advertisements that would respect the privacy of our users.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Develop features in Python, SQL and Scala to improve model performance

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
3-5 years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Experience in successfully completing Data Science or Machine Learning projects from conception to completion
Experienced with Python and Scala
Experience in improving performance of queries and data jobs for model training
Hands-on experience in large scale production grade machine learning systems
A willingness to branch out to learn new domains/ approaches and make progress independently

The following experience would be a plus:

Ad Tech or Mobile Game Industry

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Senior Data Scientist Ad Roas Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

Now we’re looking for an exceptional Senior Data Scientist as part of a team focused on the development of our product for advertisers who want to optimize their User Acquisition efforts toward ad revenue. Ad revenue-generating games are a core part of our advertiser client base, and we are dedicating a group of data scientists to refine the predictive models and feature pipelines to grow this offering.
Impact you will make:

Develop and refine predictive models that drive a business-critical and highly visible product
Propose and engineer new model features from our continuously growing and diversifying stores of data
Design and evaluate A/B tests of new features and model structures
Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and observability
Proactively identify opportunities for cost optimization in model training and serving
Collaborate closely with Product and Engineering teams to co-own the delivery of results for clients

Who you are:

BS/Masters/PhD degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
5 to 7 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Track record of improving accuracy and efficiency of large-scale ML models
Experience with continuously-deployed and frequently-retrained production ML models using a distributed training framework such as Tensorflow or Pytorch
Experience with ETL pipelines for large and/or fast data using a framework such as Airflow
Intermediate Python proficiency for scripting and model prototyping; experience with Spark or large data frameworks; proficient with SQL

The following experience would be a plus:

GCP Data Scientist certification
Ad Tech or Mobile Game Industry

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Scientist Ios Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Data Scientist to join our iOS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. The iOS team will be in charge of designing and implementing solutions for privacy preserving advertisements that would respect the privacy of our users.
Impact you will make:

Design and test predictive models and control algorithms at large scale that control real money and target specific financial goals
Maintain, tune, and enhance production models written with Python and Scala

Propose and engineer new model features using Python, SQL and Scala to improve KPIs

Develop and refine best practices for data processing, experimentation, monitoring, debugging, and analyzing data pipelines

Who you are:

BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
2 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
Experience with continuously-deployed and frequently-retrained production ML models or ETL pipelines for large and/or fast data
Strong data visualization and manipulation skills: you are able to distill a clear picture from disparate data sources reflecting a complex business
Intermediate Python proficiency for scripting and model prototyping; proficient with SQL and familiar with Scala

The following experience would be a plus:

Ad Tech or Mobile Game Industry

Perks:

Competitive salary with bonuses based on performance
Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
Flexible schedule based on core hours and the possibility of working from home dependent on team
English/Spanish lessons and/or other investments in your professional development
Private health insurance
Gym membership
Transportation reimbursement
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Director Data Science New Initiatives

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

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

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

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

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

You will build and manage a team of high performing data scientists to deliver best in class analytics

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

Requirements

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

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

3+ years directly managing data scientists, quantitative researchers, or product analysts

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

Ability to influence prioritization and execution of high impact projects effecting customer experience and monetization
Ability to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impact

Good Executive presence with excellent verbal and written communication skills

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