Senior Machine Learning Manager

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

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Job Description Summary:
PayPal is looking for a key leader in the Global Analytics and  Data Science Organization to manage and grow a team of ML Scientists. This person will be responsible for managing a significant portfolio of ML solutions and models which fuels personalization of payment and financial services. This leader needs to have a strong background in Machine Learning, practical experience in building and guiding the team on large scale predictive models to solve business problems, bringing insights and identifying additional opportunities to show and grow impact.
We are looking for a strong results-focused leader with a collaborative and motivating style, and can communicate machine learning to diverse executive stakeholders. Recruitment, training and retention of top-tier talent at all experience levels will be critical to success.
Job Description:
The Position
PayPal is looking for a key leader in the Global Analytics and  Data Science Organization to manage and grow a team of ML Scientists. This person will be responsible for managing a significant portfolio of ML solutions and models which fuels personalization of payment and financial services. This leader needs to have a strong background in Machine Learning, practical experience in building and guiding the team on large scale predictive models to solve business problems, bringing insights and identifying additional opportunities to show and grow impact.
We are looking for a strong results-focused leader with a collaborative and motivating style, and can communicate machine learning to diverse executive stakeholders. Recruitment, training and retention of top-tier talent at all experience levels will be critical to success.
Key Responsibilities
In your role, you will:
Assess, inspire and motivate a high performing team of data science and ML professionals Develop impactful relationships with senior leaders in the PayPal Consumer Business, stakeholders across the broader company, and leaders in the broader Data Science community Design, develop and implement real-time and batch advanced machine learning models to solve business problems such as Personalization of Incentive and Rewards Programs, Personalization of Product experiences including UI Flows and Lifecycle modeling of customer journey. Build ML/AI solutions and together with strong partnership with our engineering group and PayPal's Platforms organization. Communicate complex concepts and the results of the models and analyses to technical and non-technical audience. Be able to influence partners and customers.
Interpret and effectively defend approaches to Internal Legal and Compliance teams. Be a true thought leader for our organization (and PayPal overall) and contribute significantly to develop the next generation of applicable AI technologies for the company.
Who you are:
This leader will play a key role in Consumer Machine Learning Organization to grow machine learning that is in nascent stages in our key payment and financial services. The ideal individual we seek is a professionally mature, confident who is comfortable and effective at all levels of the organization. They will use their prior experience to deploy data science and machine learning solutions with modern technology in a business setting. This person will leverage their years of experience in driving positive impact on customers by leveraging machine learning and predictive analytics. The candidate will be seen as a strategic thought partner, capable of communicating and influencing senior leadership. They will have the ability to collaborate across the organization and enterprise, building relationships with key stakeholders.
Advance degree (MS or PhD) in science or engineering field with 8+ years of relevant experience. 3+ years of supervisory experience. Experience in building and hiring a strong team of machine learning scientists. Proven track record in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering adoption. Industry experience with usage of leveraging the tools for scaling machine learning models such as Hadoop, Spark, etc Industry experience in data mining, statistical analysis, predictive modeling.
Strong problem solving skills, business acumen, and communication skills Proven experience in working with multiple partner groups to drive longer term strategies within a matrix-based organization Experience in Marketing/Fintech/e-Commerce industry a strong plus
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$107300 to $259600
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.


Manager Of Data Science

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.
Job Description Summary:
This is a remote role to support the rapidly growing Happy Returns. Happy Returns is solving the #1 pain point of e-commerce: returns. We do this by providing a seamless system of technology, service, and logistics that gives shoppers the frictionless returns they want and retailers the low-cost and efficient service they require. Happy Returns operates a national network of Return Bar® locations  staffed by friendly, well-trained Returnista® return specialists located in premier shopping centers, national and regional store networks, independent boutiques, and other convenient spots.
Come join our dedicated, fast-growing team and help us transform online shopping by making returns beautiful!
Job Description:
As the Manager of Data Science, you will lead a team of 4 Data Scientists focused on driving operational excellence as we navigate rapid growth in our business and analytical needs.
The Data Science team will lay the foundation for all things data related, supporting the growth of Happy Returns for years to come.  Scientists will be expected to work alongside current Operators, Product Managers, and Engineers to ensure existing and future data tables accommodate the needs of the business.  Collectively, the data structures which they create and operate will generates a unified set of data tables for reporting and planning.  Via this data structure, the team will effectively share insights across many departments including Sales, Warehouse Operations, Automation and HR. Predictive modeling and automation will be key to providing both accurate and timely reporting.
Reporting to the Director of Forecasting and Planning, the Manager of Data Science will
Collaborate with the senior operations team to prioritize projects against short-term and long-term objectivesManage the development of production forecasts and plans, supply inventory models for our network of 5,000+ Return Bar® locations, warehouse velocity and customer service level analytics, and various projects focusing on understanding warehouse and employee productivity.Partner with colleagues in Product Development and Engineering to ensure that future software improvements output the necessary data tables for our analytical needs.Identify additional initiatives that advance the analytical capabilities of our business, and establish Happy Returns as world-class, data-driven organization.Contribute to an amazing work culture by creating collaborative and inclusive environments, setting ambitious goals that create development opportunities for your team, and working as one team with colleagues at Happy Returns
The environment is fast paced and the team you would be joining is ambitious and ready to contribute to the fast growth of the company. You will have a chance to observe the impact of your work firsthand. You will also have high exposure to our executive management team, creating visibility for your impact and growth at Happy Returns.  If this is exciting to you, please reach out!
Minimum Qualifications:
Master’s or Bachelor of Science degree in a STEM discipline 7-10 years of work experience with a proven track record of driving insights and operational improvements through analyzing large, multi-dimensional data setsSuccess in managing and developing a team through evolving business prioritiesExperience with databases, creating data tables and architecting data structuresExperience in managing data projects from inception to delivery, in an independent manner Ability to solve complex problems and synthesizing insights into actionable solutions Fluent in SQL, Python / R or any other scripting language Advanced excel skills, including VBA experience. Familiarity with visualization tools such as Looker or Tableau Proven ability to effectively work amongst various groups while providing clarity Excitement for working in a start-up environment with high level of ambiguity and change Excellent communication skills, both written and verbal, to influence cross-functional teams
Additional Job Description:
Subsidiary:
PayPal
Travel Percent:
0
-
PayPal is committed to fair and equitable compensation practices.
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com.
The U.S. national annual pay range for this role is
$96900 to $234300
Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
Who We Are:Click Here to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.


Platform Data Scientist Machine Learning

The company + vision.
Everyone’s got the message: machine learning is changing everything. And for Fortune 500 brands in every vertical, it’s actually true — ML predictions are solving billion-dollar, migraine problems. But for smaller brands, the talent and investment needed to build an ML platform are simply out of reach.

Black Crow is changing that--fast. Founded by a team that has spent the last decade in machine learning, our mission is to help DTC brands turbocharge their growth by delivering bespoke, Fortune 500-grade ML predictions.  It works out of the box, delivered as a service, and costs less than one data scientist. Integration: one click.

12 months ago, we had one DTC brand using our predictions.  Now we have over 150 — including Solo Stove, SAKARA, Native, Keurig, and Bearaby. There are 50,000 more who haven’t heard of us yet.

Black Crow AI recently concluded a $25 million Series A led by top investors in the DTC and B2B SaaS sectors, and is well funded for multiple years

The team + culture.
This is the 3rd company Black Crow’s founders have started together. Both previous companies scaled to >$100MM and were voted ‘Best Places to Work’ in NYC many times.

The founders are building Black Crow to be commercially successful, high growth, and valuable. But that’s insufficient as an end--we’re also building a company that we actually want to work at! That means we are human first--we don’t expect anyone to transform themselves to show up at work. It means working together is a positive force in our lives, not something we tolerate for the paycheck. And it means we see diversity as a strength.

Where you come in:

Black Crow AI is seeking a Platform Data Scientist to join our top notch data team. You’ll be a technical thought leader & hands-on builder who helps scale innovation across all of the data science and machine learning applications at the company. We’re looking for someone with an entrepreneurial spirit, who can leverage their deep knowledge of machine learning to build advanced models that underpin use cases across our product suite and guide on the platform tooling and architecture required to support them.

What you'll do:

Partner with other data scientists and machine learning engineers to identify opportunities to improve existing products and bring new products to market by building novel machine learning capabilities
Research, develop and implement cutting-edge algorithms and predictive models, from proof-of-concept implementations to scaled applications that solve critical business problems
Leverage your expertise on the present & future capabilities of machine learning to shape the strategic direction of the company
Partner with platform engineering to onboard & develop new tools to scale our data platform
Communicate brilliantly and develop strong relationships at all levels, internally and externally

About you:

8+ years of relevant experience as a Data Scientist or Machine Learning Engineer, building and deploying predictive models
2+ years of experience building, deploying and optimizing deep learning models, bonus points for experience with RNNs and recommender systems
Experience working with large scale data, batch and streaming
Deep understanding of ML development lifecycle and MLOps
Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data.
Experience with Apache Spark and cloud services like AWS is a plus.
Strong passion for empirical research, good problem solving skills and organizational skills
Enjoy staying on top of cutting edge machine learning research and best practices, and bringing that knowledge to bear in innovative, real-world applications
Strategic risk-taker with detail-oriented and execution-focused approach. You know what great looks like and when to aim for “good enough.”
Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations
Self-motivated, flexible, and collaborative - ability to work in fast paced, changing environment with Product, Engineering, and other partners.
Insatiable curiosity and love of learning.
Strong opinions weakly held. You are knowledgeable in your domain and able to move quickly based on that knowledge, but humble enough to change your mind

$170,000 - $215,000 a year

More about us.
 + Virtual-first and welcome employees from anywhere
 + Unlimited paid time off
 + Fridays are yours - complete flexibility on if or how much you focus on Black Crow each Friday

Love your job.
We love our work and our team. Our machine learning helps ‘flick the lights on’ for companies so they see their customers more clearly and can uncover the true potential of their tools and teams. In turn, we strive to do the same for our people. We’re here to shine light on each other and unlock known (and sometimes unexpected) potential.

Our vibrant team accomplishes buckets of awesome every day. We also partake in our fair share of daily laughter. Come build the company you’ve always wanted to work for - with inspiring products and a community of passionate people.


Data Scientist

FocusKPI is seeking a Data Scientist to enable deep media insights through advanced analytics for our client, one of the largest retailers/e-commerce companies in the U.S..
Work Location: Remote in the U.S. Duration: 6 months contract with potential for extension and conversion, depending on budget and performancePay range: $50/hour to $70/hour
Responsibilities:
Perform hands-on coding to retrieve and analyze large datasets using Python and SQLIntegrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholdersManage and streamline data extraction process with great attention to detailsAssess the potential usefulness, validity, and rigor of new data sourcesWork with cross-functional team to ensure that the quality of the data are of the highest standardHelp with media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Qualifications:
Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related field3+ years of industry experience in data, analytics, and data science roleExperience with advertising, measurement, and/or digital marketing analyticsExperience with advertising technology platforms, Ad servers, DSPs, DMPs, etc.Proficient coding skills (SQL/Python/R)Deep knowledge of relational database capabilities and experience with big data technologies (Hive/Hadoop)Proficient BI/BA data visualization tools (Tableau, PowerBI, ThoughtSpot, Looker, etc.)Experience working with Marketing Mix Modeling (MMM) and/or Multi-Touch Attribution Models (MTA) is a mustExperience with Modeling and Machine learningExperience with cloud technologies such as GCP, AWS, AzureExperience in integrating, structuring, and analyzing large amounts of data from diverse sourcesStrong project management skills and attend-to-detail documentation skills.Strong written and verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to ‘tell a story that provides insight into the businessPassion for working in a fast-paced agile environment.A collaborative mindset and sense of curiosityExperience with predictive modeling algorithms and optimization techniquesExperience applying statistics to business problems
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.


Lead Data Scientist

About LumenLumen is guided by our belief that humanity is at its best when technology advances the way we live and work. With 450,000 route fiber miles serving customers in more than 60 countries, we deliver the fastest, most secure global platform for applications and data to help businesses, government and communities deliver amazing experiences. Learn more about Lumen’s network, edge cloud, security and communication and collaboration solutions and our purpose to further human progress through technology at news.lumen.com, LinkedIn: /lumentechnologies, Twitter: @lumentechco, Facebook: /lumentechnologies, Instagram: @lumentechnologies and YouTube: /lumentechnologies.
The Role
The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.
The Main Responsibilities
Clearly communicate methods and conclusions with simple language and innovative visualizations to management and executives. Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business.Provide expertise in analyzing and visualizing large, complex, and unique data sets. Create new insights that will drive business growth and profitability in the short and long term. Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers.Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data.Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.Management of analytical projects and assistance in program planning as well as the acquisition, retention and development of data science talent
What We Look For in a Candidate
8+ years related experience.Degree(s) in Computer Science, Math, Physics, Economics, Operations Research, Statistics or related disciplineExperience with relational and non-relational databases.Strong experience with tools for managing, analyzing, and visualizing large datasets. Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++. Past success in extracurricular math/science activities or competitions is highly regarded. Creativity and persistence in locating, extracting and analyzing all relevant data. Problem solving versatility: making the best decisions possible given the data quality and time available. Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages.
Preferred:
Expertise w/ GIT, agile project management tools (Trello, JIRA, Rally, etc), documentation/markup expertise (Markdown, etc)Strong verbal, written and visualization communication skills relaying data science findings, problems, etc to business users.Good working knowledge of PL/T-SQLExpertise w/ econometric and machine learning methods for predictive analyticsPrior expertise w/ price elasticity of demand modeling and mathematical optimization methodsCulture of curiosity and perseverance in the face of messy data and complex business, information systems landscapeSignificant experience with the SDLC, in particular as applied to automation of data science pipelines and development of analytic productsPrior experience coaching junior technical team membersStrong background with planning and management of data science projects as well as leading engagement of stakeholders and communication with non-technical SMEs and partners.Experience with the wireline telecommunications industry, notably common product technologies and marketing thereof
What to Expect Next
Requisition #: 301828
EEO StatementWe are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”).  We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
DisclaimerThe above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.  Job duties and responsibilities are subject to change based on changing business needs and conditions.
Salary Range
Salary Min :
85230
Salary Max :
189360
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information here. We're able to answer any additional questions you may have as you move through the selection process.
As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking	 here.
Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.


Machine Learning Scientist

FocusKPI is looking for a Machine Learning Scientist to work for our client. The main function of the Machine Learning Scientist is to build and deploy innovative machine learning solutions to improve revenue and increase our client's active user base.
Work Location: Remote in the U.S., preferably in the Bay AreaDuration: 6 months contract Pay range: $43/hour to $53/hourResponsibilities:
Craft advanced machine learning and natural language processing techniques to accelerate paid user acquisition.Work with our client's seriously large volume of data to understand insightful trends and customers behaviors.Construct and refine algorithms to optimize parts of our client's marketing andon-boarding funnelsApply and refine optimization and NLP techniques to expand market reach in an efficient and scalable way, construct andrefine AI algorithms to optimize bidding strategies and budget  allocation. Drive end-to-end Machine Learning projects that have a high degree visibility and applying cutting-edge tech components.
Qualifications:
Master of Science degree in quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience).2+ years of professional experience with developing large-scale machine learning applications.Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space.Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks).Explain data science and machine learning concepts to diverse audiences and create a compelling story.Industry or academic experience in the data science or machine learning domain.Explain data science and machine learning concepts to diverse audiences and create a compelling story.Use domain knowledge and data insights to educate and engage with stakeholders, help the teamto better understand the solutions rationale and execute on that.
Thank you!
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.


Data Scientist

This is a remote position.
About Fuse Technologies
Fuse Technologies is a fintech solution for the experience economy empowering creators to sell their tickets, hotel, and multi-day curated experience in a single transaction. The company has raised $16M in seed capital to date reaching a $120M valuation in less than 1 year of launching its first client.
Fuse's clients include Live Nation, AEG, Golden Voice, Soccer Champions Tour, Life is Beautiful, TAO Group, Disco Donnie, Wonderfront, Lineleap, Hifi Social, Reggae Riseup, Cali Roots, Insomniac, Relentless Beats, C3 Presents, Vegas Golden Knights, A22 Sports, PAC-12, Big West, Main Event, American Rodeo, Blended, Montreal Tourisme, and over 250 university RSOs.

Requirements
About the Role
Performance Profile
Analyze, manipulate, or process large sets of data
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, churn, and inventory etc
Clean and manipulate raw data using statistical software.
Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
Work with stakeholders to come up with data driven insights that help grow the business
Help build & measure OKRs for company & business units etc.
Having basic understanding of Data modeling, data engineering, databases
5+ years of experience min
Tools: Mode, metabase, DBT, Snowflake
Languages: SQL, Python or R
Remote/Anywhere in United States candidates accepted
Benefits
Simple IRA with company match (up to 3%)
Health, Dental & Vision insurance
Life Insurance
Paid Time Off


Data Scientist Credit Risk Modeling Xgboost Nlp

The position is applicable ONLY for US remote This role would not offer sponsorshipGlobal Risk Decision Analytics and Capabilities is a key team in Risk & Compliance organization that ensures robust fraud and credit decisions across all segments while providing a great customer experience and supporting WEX’s growth. We are a team of data and analytics driven experts with an outstanding ability and sense of mission to find solutions through innovation and collaboration. We are looking for a Data Scientist in the Credit Risk team, who will be responsible for developing and managing the credit and collections decision science models and business logic, leading to best-in-class credit loss metrics, profitability-based decisions and customer experience for WEX. The successful candidate should have prior data science and / or advanced analytics experience in credit risk management including the underlying modeling method lies and tools. The successful candidate will be collaborative and a strong communicator with high EQ to work in a matrixed organization. This position will report to the Director of Credit Risk.  Major Roles and Responsibilities
Building and leveraging new and existing data sources to build Credit risk models across the lifecycle i.e. adjudication of New Accounts, Portfolio and Collections and across products and lines of business
Deploying statistical and machine learning techniques to optimize decisions, leveraging standard tools Distilling complex results or processes into simple, clear visualizations
Explaining sophisticated data science concepts in an understandable manner
Building solutions and working with modern development tools and writing code collaboratively (bonus for software development or DevOps experience)
Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
Monitoring credit risk through the customer lifecycle, to provide timely detection and mitigation
Performing qualitative and quantitative analysis on credit risk trends and working together with Strategy and Operations teams to define, evaluate, and implement potential solutions.
Developing solutions to reduce credit risk and financial losses, while minimizing impact to good customers
Defining Credit Risk Analytics capability  roadmaps to deliver gains in key performance indicators (KPIs)
Collaborate with key stakeholders and cross-functional partners across WEX including Risk Operations, Technology, Bank, Marketing, Finance, Legal, Risk and Compliance/BSA/AML.
Job RequirementsEducation and Experience:
Bachelor’s degree required; advanced degree strongly preferred
5+ years of experience in Data Science; 3+ years of experience in the Credit & Collections risk analytics/ data science and/or Commercial Risk space; Payments industry experience a plus
Experience using statistics and machine learning to solve complex business problems- Big Data, Python / SQL, ML studio, Data visualization tools
Skills and Abilities:
Ability to think critically in order to analyze problems and develop creative, practical and efficient solutions for a multinational company
The ability to learn quickly, solve complex problems, and perform in a fast-paced environment
Strong communications skills that distill complex data and systems issues to both technical and non-technical audiences
Understanding of and experience with risk decision engines and/or payment technology
Willingness to learn and continuously build technical skill set
Ability to prioritize and work on multiple projects and tasks at the same time
Adaptable and comfortable working collaboratively and independently in a self-starting manner
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $104,000.00 - $139,000.00


Sr Data Scientist

Sr. Data Scientist WEX is an innovative payments and technology company leading the way in a rapidly changing environment. Our goal is to simplify the business of running a business for our customers and free them to spend more time, with less worry, on the things they love. We are on a journey to build a unified, world class user experience across our products and services and leverage customer driven innovation to power our growth and  strategic initiatives.This is a really exciting time to be working in Data & Analytics at WEX. We are driving towards our True North vision of providing the right data, in the right place, at the right time so that we can enable and accelerate the journey to being a data-driven organization. There is strong executive support for all things data and it is viewed as a critical component for our enterprise transformation activities.  What we need now is someone with a passion for solving problems and driving actionable outcomes with data. You will do this through performing and developing the following competencies: Insights Driven, Stakeholder Aligned, Results Focused, Dynamic Collaboration, Quality Mindset.What you’ll do:
Lead the effort to design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions
Collaborate with product and service teams to identify questions and issues for data analysis and experiments
Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Identify key insights from large data sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the best-fitting tool and level of complexity appropriate for the business challenge(s)
Engage with counterparts across the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, prioritizing those where advanced analytics projects or tools can have the biggest impact
Identify and communicate the challenges and opportunities that the group should be working on, highlighting areas for improvement
Help define the analytical direction and influence the direction of the associated engineering and infrastructure work
Brainstorm and articulate business questions and investigate answers using data and mathematical techniques
Translate analysis results into business recommendations
You will also deliver artifacts that set the standard in your organization for excellence, from designs to algorithms to implementations to technical documents
How you’ll engage:
Insights Driven: Clear hypothesis and objective driven analytics that help drive our business decisions and ongoing metrics
Stakeholder Aligned: Understand the needs and audience for deliverables with a succinct and tailored message to maximize impact
Results Focused: Rigorous focus on how analytics drive the end to end experiences with clear path to production and measurable impact
Dynamic Collaboration: Drive continual improvement of our teams best practices and processes to power collaboration
Quality Mindset: Trust in our findings is critical so data and analytic quality is understood and accounted for from the beginning
Experience you’ll bring:
Bachelor’s degree in STEM or a related field
4+ years of relevant work experience (e.g., as a data scientist), including experience applying advanced analytics to planning and infrastructure problems.
Advanced experience with statistical software (e.g., R, Python) and database languages (e.g., SQL)
Advanced experience building, cleaning, and testing data quality for data sets preceding modeling
Strong problem-framing, problem-solving, project management skills, customer service, and communication skills
Deep understanding of modeling and statistical approaches (e.g. logistic regression, linear regression, random forests, etc.)
Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation)
Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives
What would make you stand out:
Masters or PhD in a related field
Combination of technical and business acumen

Experience with Dataiku
Experience in Agile methodologies
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more.  For more information, check out the "About Us" section.Salary Pay Range: $123,000.00 - $164,000.00


Data Scientist Vyasa


Senior Data Scientist Stars

Description
The Stars program is the Centers for Medicare & Medicaid Services (CMS) five‐star quality rating system for measuring Medicare beneficiaries’ experience with their health plans and the health care system. The program is a key component in financing health care benefits for MA and MA‐PD plan enrollees. In addition, the ratings are posted on the CMS consumer website to help beneficiaries choose among the plans offered in their area. Quality metrics include screenings and vaccines, managing chronic conditions, member experience with the health plan, member complaints, and customer service. For the past five years, Humana has led national competitors with the most members in 4+ Star plans, so we take
Read more about this job


Sr Data Scientist

Description
The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
Responsibilities
The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises
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Data Scientist Mid

As a Data Scientist (Mid), you’ll bring creative architect solutions to end customers, with the goal to make an impact across the federal government.
We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
What you’ll do:

Analyze complex datasets to assess performance or find new patterns and apply machine learning techniques to data sets related to immigration.
Build, train, operationalize and maintain AI/ML models in production.
Present results to a diverse audience in presentation or report form
Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.

What you’ll need to succeed:

A bachelor’s degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience and the ability to obtain and maintain a DHS Suitability.
5+ years of experience in the AI/ML data science field. If school experience is used, at most that would contribute to 2 years of actual experience.
Experience using open-source models to the extent possible or provide a comparable analysis and justification for using proprietary models.
Ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize
Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML.
Ability to maintain the AI/ML models through user stories and DevSecOps CI/CD pipeline including any optimization and evaluation of alternates.

Like we said, we are obsessed with our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
Don’t meet every single requirement?
Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team
What we want you to know:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.
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Data Scientist

What are we looking for?
Bachelor’s degree or equivalent in Marketing, Data Science, Mathematics, Statistics, or other numerate disciplineNice to have – Masters / Degree with computing, scientific, statistical or mathematical component3+ years varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retailHands-on experience with Python (numpy, pandas, etc) is required; Familiarity with PySpark is also desirableMust have excellent communication skills, and interact effectively with internal stakeholdersGood problem solving skillsSuperior planning, project management and organizational orchestration skills and a strong attention to detailConfident in identifying and escalating key points/issuesTruly inspired by, and want to live, our purpose of creating a better world for pets.Writes code following PEP-8 guidelinesUnderstands the implications of code on execution timeCan identify dependencies when productionizing modelsAlso desirable:Passion for growing and strengthening a business using data driven approachesFamiliarity with cloud-based computing services e.g. Azure, Databricks, etc.Enjoys explaining how models and systems work to both non-technical and technical stakeholders.Experience in packaged goods, retail and/or medical sector preferablePersonal traits:Comfortable with ambiguity, with a passion for collaboration to achieve objectivesGood head for numbersQuick learner, ability to understand and simplify highly complex scenarios.Value focused with high energy and drive.
What will be your key responsibilities?
We are searching for an experienced Analytics professional to join the data science function; to help deliver the ecosystem analytics roadmap across all divisions; working closely with the division stakeholders in managing and delivering projects; working with global teams to identify and implement efficient delivery of the vision; and, to articulate the strategic opportunities of a pet-centric analytics driven strategy.The role reports in to the Head of Data Science -North America.  The primary responsibilities are:Apply data science approaches to understand and predict pet and pet owner behaviorsUse machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourselfCollaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations  Develop compelling stories that provide insight into the drivers of business performance and Pet/Pet Owner behaviorA desire to develop data science models from idea initiation through to production.Ensuring outstanding delivery of pet and pet-owner centric insight, analytics and data science across Petcare divisionsWork closely with team members and stakeholders to achieve thisApply a pet and pet-owner centric approach to problem solving across divisions ensuring highest standards of insight and data science delivery to create changeParticipating in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-ownersApplication and documentation of best practice standards in the execution of analytics projects for value creationEnthusiastically learn new technologies and techniquesContribute to the upskilling of Petcare by inspiring local teams with insight and story-telling to gain deeper engagement with the Powered By Data strategyAdherence to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to leverage effectively data for their advantage, to abide by all laws and relevant best practices
What can you expect from Mars?
Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles.Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.Best-in-class learning and development support from day one, including access to our in-house Mars University.An industry competitive salary and benefits package, including company bonus.


Sr Data Scientist

The Team
OpenSpace’s core product is loved by its users, and we see this in all of our key metrics like engagement, retention, and revenue. The success of our core product has given us a good problem to have: our customers and the industry as a whole are trying to pull us in many different directions at once.
Our data team’s mission is to be the source of truth. We help teams across the company measure and prioritize their opportunities, which means working closely with the product team and our leadership as well as engineering, operations, finance, marketing and sales. Our team today is still small compared to the number of new products and markets that lie ahead, so new opportunities for personal development are abundant.
Brief summary of role:
For us Data Science means empowering good decision making across the organization. This role is mainly centered around product analytics and analytics engineering. The pillars of our work are ensuring good data collection as part of ongoing product development, delivering easy to understand metrics and KPIs to our product and operations teams, surfacing insights about our products or processes through experiments or analysis that lead to shifts in strategy.
What you will be doing:

Develop a comprehensive understanding of the product from both the customer's perspective and the internal workings of our systems and algorithms, ensuring informed hypotheses about the effects of product changes.
Proactively explore  what makes valuable customer experiences and good business outcomes, and follow up by proactively sharing insights with your team.
Leverage your knowledge of product usage metrics to estimate the impact of potential projects, and design new experiments to validate or invalidate assumptions to maximize the ROI
Develop and maintain the metrics and dashboards that help us monitor product usage and understand how it relates to overall business health and honing in on tricky edge cases and ways to test so that they are represented correctly in our reporting.
Partner with engineering to create and store various types of data to ensure the data team remains the organization's source of truth and provides crucial insights to support decision-making across departments.
Evaluate complex situations and data sets to identify key factors and trends, and demonstrate sound judgment when recommending strategies for improving performance and driving growth.
Effectively communicate complex concepts to diverse stakeholder audiences to determine the appropriate methods for new assignments.
Apply technical and functional expertise to develop and implement innovative data-driven solutions for complex business problems.

What we are looking for:

5-8 years of analytics experience or equivalent projects in a data science capacity.
Experience defining and working with engineers to instrument metrics for new product features.
Experience writing advanced SQL to build new data tables and pipelines - we use dbt.

How you like to work:

Ability to quickly learn and understand the details of complex technical products and their use cases in relation to the construction industry
Detail-oriented, with a focus on ensuring data accuracy and quality in reporting and analysis.
Strong communication skills, with the ability to present complex technical and statistical concepts and information in a clear and concise manner verbally, visually and in writing.
Ability to communicate complex concepts and priorities effectively to diverse stakeholders

There are many benefits to working at OpenSpace, including, in addition to competitive pay, things like generous time-off, ample parental leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, education, demonstrated capabilities, and geographic location within the state. The following salary range applies to this role.
If you are a Colorado applicant:

The estimated pay range for this role, based in Colorado, is $122,000 - $160,000.
Additionally, this role is eligible to participate in OpenSpace’s equity plan.

This role is also eligible to participate in OpenSpace’s equity plan and for the following benefits: health and wellness programs, paid time off, 401(k) retirement account, flexible time off, and paid parental leave.
If this role isn't what you're looking for, please consider other open positions.
#LI-Remote


Senior Data Scientist Ads Ranking

About this role
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ads & monetization, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of the Data Science team you’ll develop machine learning-powered ads ranking models while contributing and adding impact and personalization to our search and discovery system functions. You’ll determine answers to questions like, how relevant is this ad/product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve the ads purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, Netflix and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do

You’ll build best-in-class models to solve various problems at the intersection of Ads Modeling domain and Search and Recommendation.
You’ll be able to develop vision and execution plan for the Ads team and actively participate in the long-term roadmap as we monetize the platform.
Collaborate with Data Scientist and ML Engineers across the Data organization to implement tools for ads experimentation.
Develop key metrics for ads performance evaluation; design dashboards to track them.

Qualifications

3+ years of industry experience in ads/ads modeling domain (ads ranking, auction design, bidding, targeting, etc.) and using machine learning to solve real-world problems
Experience with search/query processing for ads product development
Strong programming skills
An excitement and willingness to learn new tools and techniques
Lead model development without supervision
Strong communication skills and the ability to excel in a closely collaborative team environment

Great to Haves

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement innovative algorithms from an academic paper

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Salary Range
California / New York: the pay range for this role is $173,000 - $238,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $156,000 - $214,500 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.


Data Scientist Brand

About this role
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
As a Data Scientist on the Brand team, you will design and develop algorithms to enhance the CRM system's intelligent recommendation capabilities. Additionally, you will conduct causal inference measurements to improve the referral program's incentive structure. By building effective ML models, you will also prioritize relationship management motions to drive brand success on Faire.
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
What you’ll do

Drive brand success by expanding their sales and consolidating their business onto Faire's platform.
Design and implement algorithms that enhance the intelligent recommendation capabilities of our CRM system. You will also create models that prioritize sales motion and conduct causal inference measurements to optimize the referral program's incentive structure.
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success.

Qualifications

2+ years of industry experience using machine learning to solve real-world problems, and a history of accomplishment and advancement in your Data Science career
Resourcefulness and proactiveness: track record for executing independent projects and leading complex, cross-functional projects with dependencies
Strong communication skills: can effectively and patiently work with others in a closely collaborative team environment. Can evangelize growth marketing initiatives to the organization
Exceptional product and business sense
An excitement and willingness to learn new tools and techniques
Proficiency with Python and SQL

Salary Range
California / New York: the pay range for this role is $148,000 - $203,000 per year.
Colorado / Washington / New Jersey: the pay range for this role is $133,200 - $193,050 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.


Data Scientist Intern

Job Description
Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.
At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.
We have several Intern positions on the following 3 Data Science teams:
1. Financial Products and Marketplace Optimization2. Discovery (Recommendations, Ranking, Search, Ads)3. Brand and Retailer Growth & Incentives
We're looking for someone with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights.
Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates and are open to extending internship durations based on need and mutual fit.
What you will be doing:

Define, plan and execute cutting-edge machine learning or other new algorithms that will be a/b tested with guidance from a manager or technical lead
Communicate project objectives and results clearly, both within the group as well as to the broader team
Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success

What it takes:

We are open to currently enrolled Master’s & PhD students and recent Master’s & PhD graduates, who have an academic focus in Computer Science, Operations Research, Statistics, Econometrics or a related technical field
Hands on experience with real datasets and familiarity using python, sklearn, numpy, pandas, and SQL
Familiarity with various machine learning techniques and statistical methodologies (Bayesian methods, experimental design, causal inference)
A track record of developing end-to-end Data Science projects and/or producing academic papers that have been showcased in top journals or conferences

Salary Range
California / New York: the pay range for this role is $51.90 - $71.40 per hour.
Colorado / Washington / New Jersey: the pay range for this role is $46.65 - $64.20 per hour.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.


Lead Data Scientist Credit

Dave is one of the leading US neobanks and a pioneer in financial services, using disruptive technology to provide best in class banking services to millions of members at a fraction of the cost compared to incumbents. The anchor of our banking value proposition, ExtraCash, provides up to $500 of short term, interest free advances to members within minutes of joining. The speed to value, access and pricing of ExtraCash compared to traditional overdraft sets us apart from incumbents and is a key to our strategy to efficiently acquire transacting Dave debit card members.

We are looking for a Lead Data Scientist to build and lead credit risk management for our newest consumer credit product at Dave under the Data Science org. Unlike other providers of short term credit, Dave relies on our member's cash flow and income data so it is important that this leader has prior experience and is excited to work with alternative data sources to drive differentiation in our products, growth for our business, and value for our members with a risk appetite.

Furthermore our ideal candidate has a track record of launching new products as well as operating and scaling existing credit strategies during all points of a credit cycle. As a Lead Data Scientist, it is critical to partner with product, marketing, legal, finance, engineering and other cross functional teams to manage the business. Over time this role may grow into people management so having a desire to lead and mentor a team is important.

What You'll Do

Play a foundational role in launching Dave's next credit product with seasoned knowledge of credit life-cycle business
Lead and design credit risk strategies including pricing strategy, line assignment and etc., especially with intense experiences on leveraging ML/AI solutions
Lead feature discovery and continuous model/strategy optimization along with the rest of the data science org
Identify and evaluate new data sources to help model and strategy optimization
Develop tools to monitor and forecast performance to effectively manage the business
Partner with product managers, engineers and other cross functional partners to develop and deploy the solutions into production with best practices and high quality
Help guide and contribute the build out of the other credit risk function at Dave

What You'll Need

Minimum 6+ years of experience in credit risk management and predictive analytics
Master degree in Computer Science, Mathematics/Statistics and other STEM majors is required; PhD is a plus
Deep domain knowledge in unsecured consumer lending or credit cards
Proficiency with SQL, Python; Cloud computing is a plus
Detailed, results oriented operator
Curious and creative problem-solver
Clear communication style to guide working teams and report out credit performance to executive stakeholders

Technologies we use and teach

Python
SQL
TensorFlow
PyTorch
Spark
GCP
Vertex AI

#LI-KM1

Don’t let imposter syndrome get in your way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles.

Why you’ll love working here:
At Dave, our people are just as important as our product. Our culture is a reflection of our values that guide who we are, how we work, and what we aspire to be. Daves are member centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual first company, team members can live and work anywhere in the United States, with the exception of Hawaii.

A few of our benefits & perks:
• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
• Flexible hours and virtual first work culture with a home office stipend
• Premium Medical, Dental, and Vision Insurance plans
• Generous paid parental and caregiver leave
• 401(k) savings plan with matching contributions
• Financial advisor and financial wellness support
• Flexible PTO and generous company holidays, including Juneteenth and Winter Break
• All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team

Dave, Inc. is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history.

#LI-REMOTE #BI-Remote


Data Scientist

Data Scientist
The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.
On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining2+ years of experience with statistical and general-purpose programming languages for data analysisExperience analyzing structured and unstructured data sourcesExperience developing predictive data models, quantitative analyses, and visualization of targeted data sourcesKnowledge of ML, AI, or Natural Language Processing (NLP)Knowledge of text mining or ML techniquesKnowledge of Microsoft 365 and Power AppsAbility to obtain a security clearanceHS diploma or GED
Nice If You Have:
2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL2+ years of experience with ML, AI, or NLPExperience with visualization packages, including Plotly, Seaborn, or ggplot
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $73,100.00 to $166,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees.
Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Senior Data Scientist

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Senior Data Scientist


Data Scientist

Description
Company: Oak Street Health
Title: Associate, Data Scientist
Location: Chicago, IL / Remote
Company Description
Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street’s care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients’ health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit  http://www.oakstreethealth.com.
Role Description
Oak Street Health is looking for an associate data scientist to join our care and risk modeling team. This team is responsible for delivering high quality modern data solutions through collaboration with engineers, analysts, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how healthcare is provided.  In this position, you will be responsible for taking on new initiatives associated with enhancements, expansion, maintenance and scaling in data science. As a member of our team, you will make an immediate impact as you help expand our data science capabilities across our whole care model. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you from inception through production.
Core Responsibilities:
Utilize advanced mathematical and statistical methods to solve business problems under the supervision of senior data scientistsExecute exploratory data analysis to validate and quantify trends identified by partner organizations. Develop insights, visualizations, and other data artifacts that support broader data science initiatives Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashionDemonstrate strong communication skills (both written and verbal) and a positive, solution-oriented attitudeOther duties as assigned
What we’re looking for:
Bachelor’s degree and 1 year of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative fieldProficiency in SQL and PythonClear and concise through all mediums of communicationDemonstrated ability to decompose multi-tier problems into actionable stepsExcellent problem-solving and analytical skills Innate curiosity to get at the how and why of a problem US work authorizationSomeone who embodies being “Oaky”
What does being “Oaky” look like?
Radiating positive energyAssuming good intentionsCreating an unmatched patient experienceDriving clinical excellenceTaking ownership and delivering resultsBeing scrappy
Why Oak Street?
Oak Street Health offers our coworkers the opportunity to be at the forefront of a revolution in healthcare, as well as:
Collaborative and energetic cultureFast-paced and innovative environmentCompetitive benefits including paid vacation and sick time, generous 401K match with immediate vesting, and health benefits
Oak Street Health is an equal opportunity employer. We embrace diversity and encourage all interested readers to apply to oakstreethealth.com/careers.


Data Scientist Marketing

#TeamNextdoor
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 305,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
At Nextdoor, our Growth Marketing team is charged with driving member growth and revenues from businesses advertising on the platform. This team has a Marketing Science function which utilizes the analytical horsepower of data science focused purely on new customer growth on the platform. We are looking for a data scientist to grow the team and increase our ability to support the optimization of growth marketing decisions.
You will design/deploy complex models and best practices with regards to experimentation, measurement and reporting of results. You will bring a strong mix of technical and statistical skills with the ability to collaborate cross-functionally with many leaders and stakeholders including but not limited to finance, data science, marketing, engineering, and product.
The Impact You’ll Make
You will have an opportunity to work in a growth focused organization and make a huge impact by optimizing how we use a multi-million dollar marketing budget. Your work will come to life through strategic/analytical thinking, operational excellence and creatively solving complex business problems. The team is responsible for the growth of the number of neighbors joining the platform but also the number of businesses joining the platform to advertise to different communities.
Your responsibilities will include:

Fluency as a full-stack data scientist which will enable Nextdoor to make data-driven marketing decisions -- from strategy to ideation to execution to testing and performance monitoring. There are multiple roles available on our Growth Marketing team that tap into many aspects of data science
Build growth, engagement, and revenue optimization models using a wealth of well-structured in-house data
Establish a shared vision with cross functional teams to develop/optimize/deploy new strategies
Own analytical projects end-to-end, taking an ambiguous problem and forming a structured opinion. Defining success metrics that capture performance and identify actionable insights
Identify where we can invest in 3rd party data to enrich our decision making capabilities
Build out required performance measurement tools and dashboards

What You’ll Bring To The Team

3-8 years of expertise in quantitative analysis, ability to tell a story backed by data using data mining methods
3-8 years of experience using in-depth applied statistics and analytical experience in partnership with Marketing teams to optimize decision making
Demonstrating proactivity in identifying better ways of working and can recommend actionable solutions
Ability to pull together your own datasets with strong SQL skills and knowledge of analytical programming languages including R or Python to conduct statistical analyses
Experience building predictive models using machine learning algorithms
Familiarity with experiment design and A/B test analysis including measurement selection
Can communicate effectively with a range of stakeholders
Curiosity for discovery and creativity in solving complex challenges

Bonus Points

Experience with complex attribution solutions
Worked with data vendors to enrich data
Knowledge of online advertising and ad tech space; robust understanding of online advertising best practices

Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $122,000 - $190,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
#LI-Remote


Senior Data Scientist New Initiatives

Role Description
We're looking for a Senior Data Scientist to partner with product managers, engineers, designers, researchers, GTM teams providing first class analytical insights, experimentation guidance, and data foundation suggestions via solid and rigorous product thinking and rigorous data science techniques. An ideal candidate should have strong ownership with a “can-do” attitude, feel comfortable to handle ambiguities bringing 0-1 products to the market, get critical and creative thinking, have great product acumen and wide business knowledge from user behavior, customer segmentation, monetization, to machine learning, data loggings, and great execution on the product strategies
Responsibilities

Understand what matters most and prioritize ruthlessly from both strategic and tactical levels. Be time sensitive and accountable.

Develop a deep understanding of customer journey phases. Define key business and product metrics including quality, engagement, retention, and growth ones.

Work with engineers and PMs to create the reliable, efficient, and scalable data infra as well as the experimentation process and standard.

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

Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, engagement, and retention trends.

Translate complex concepts into implications for the business via excellent communication skills, both verbal and written.

Work with cross-functional teams (including Data Science, Product, Engineering, Design, User Research, GTM, and senior executives) to rapidly execute and iterate.

Requirements

Have a startup mentality to be an outstanding problem solver. Be open and flexible for challenges including get ready to step up if necessary, equipped with great critical-thinking and creative-thinking
Take extreme ownership to drive product strategies with cross-functional partners by providing data insights
Be adventurous and curious about the AI and the relevant cutting-edge technologies

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

4+ years of post-graduate industry experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting

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

Significant experience with SQL and large unstructured datasets such as Hadoop. Be proficient with Python to perform analyses and to create necessary visualizations

Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees

Solid background in designing, running and interpreting complex experiments to optimize a product or revenue flow

Strong verbal and written communication skills


Associate Research Scientist

About the Team¬†The Policy Research Team designs and conducts research and analyses focused on improving student access to, persistence in, and completion of higher education. The data- and evidence-driven insights we provide drive actions that support college and career success and drive strategic organizational decisions.¬†¬†About the Opportunity¬†¬†The Research Scientist works with members of the Policy Research Team the larger Research team, product owners, and field staff to answer critical research questions to advance the mission of the College Board. You will work iteratively and collaboratively with stakeholders to produce high-quality data, visualizations, and various memos, papers, and scholarly reports to effectively communicate findings to a wide variety of audiences.¬†
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In this role, you will:¬†¬†
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Provide Thought-Leadership and Strategic Guidance Using Data and Analyses to Constituents Across College Board Programs and Services, Including the SAT¬ģ, the Advanced Placement¬ģ Program, and BigFuture¬ģ¬†
Contribute to the development and refinement of data-driven products and services.¬†

Identify unique and previously unseen opportunities where College Board is positioned to influence college access and student success.¬†
Create compelling presentations, data visualizations, and written documents that relay information with clarity for diverse audiences.¬†¬†
Travel periodically to present to practitioners, policymakers, and academic audiences.¬†¬†

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Develop and Lead a Scholarly Research Agenda with a Particular Focus on Topics Related to College Board Programs and Services¬†

Maintain a scholarly footprint by crafting new research ideas, conducting analyses, writing reports/articles and shepherding these through the peer review process.¬†
Synthesize research findings in memos with digestible talking points and visuals for both technical and non-technical audiences.¬†

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Work Collaboratively with Teams Across the College Board to Engage in Strategic Analyses¬†

Generate rapid, data-driven insights for internal clients and partners that inform external conversations.¬†
On occasion, work urgently and on tight timelines to ensure that clients and partners have access to contemporary and meaningful data.¬†

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About You¬†
You have:¬†

Strong expertise in statistical modelling and data analysis using appropriate statistical methods and software (e.g., SAS, Stata, R, Python)¬†
Experience with large, national datasets related to the education industry and the ability to work accurately and quickly with new datasets¬†
A commitment to generating scholarly research related and adjacent to College Board‚Äôs programs and services as well as the broader education policy community¬†
Adept problem-solving skills with data¬†
Excellent verbal and written communication skills with experience presenting to both technical and non-technical audiences¬†

Strong organization and prioritization skills and the proven ability to move forward multiple projects in concert, both independently and as a member of the team¬†
An appreciation for crafting actionable, data-driven insights on a rapid timeline¬†
A passion for supporting the educational opportunities for millions of students¬†¬†
A strong interest in collaborating in a team environment and working agilely with researchers and non-researchers to support organizational priorities¬†

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About College Board¬†College Board is a mission-driven not-for-profit organization that connects students to college success and opportunity. Founded in 1900, College Board was created to expand access to higher education. Today, the membership association is made up of over 6,000 of the world‚Äôs leading educational institutions and is dedicated to promoting excellence and equity in education. Each year, College Board helps more than seven million students prepare for a successful transition to college through programs and services in college readiness and college success‚ÄĒincluding the SAT¬ģ, the Advanced Placement¬ģ Program, and BigFuture¬ģ. The organization also serves the education community through research and advocacy on behalf of students, educators, and schools.¬†¬†¬†¬†About Our Benefits and Compensation¬†College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.¬†
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Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.¬†
We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.¬†
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $80,000 to $130,000. The salary offer of an individual candidate within this range is specific to their location and qualifications.¬†
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate‚Äôs location. You will have an opportunity to discuss salary in more detail after you begin the application process.¬†

As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive.¬†¬†EEOC statement¬†College Board is proud to be an equal opportunity employer. We‚Äôre committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.¬†¬†
¬†#LI-REMOTE
#LI-GG1
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