Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Coinbase
Portland, OR, United States
At Coinbase, our mission is to increase economic freedom around the world , and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those pe
Job Source: CoinbaseHP
Vancouver, WA, United States
This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in drivin
Job Source: HPMercuryTechnologies
Portland, OR, United States
In the 1950s, Norman Borlaug embarked on an effort to breed a new type of wheat that was disease resistant and had higher yields. In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimate
Job Source: MercuryTechnologiesTriMet
Oregon City, OR, United States
Salary: See Position Description Location : Suite 700, OR Job Type: Non-Union Regular Full-Time Job Number: 24-00093 Department: Transit Systems and Asset Support Division: Operational Training & Development Opening Date: 05/03/2024 Closing Date: Continuous Description As the Senior Data Scientist you will lead research and develop
Job Source: TriMetOmniData
Portland, OR, United States
Our Compnay : OmniData is a Portland - based Data and Analytics focused consulting firm leveraging the Microsoft technology stack to help organizations build their Modern Data Estates, designed to serve their digital innovation needs for many years to come. To do this, we apply deep experience in Solution Architecture, Data, Analytics, and technol
Job Source: OmniDataZoomInfo technologies, LLC
Vancouver, WA, United States
ZoomInfo Technologies, LLC seeks a Senior Data Scientist in Vancouver, WA. Duties: Work on delivering solutions for a variety of business problems. Build ML models that enable recruiters to target potential job seekers/talent leads. Mine hidden relationships among large networks of business contacts and/or companies. Build scoring models that driv
Job Source: ZoomInfo technologies, LLCSaxon Global
Portland, OR, United States
Nike Global Marketplace Operation Consumer Fulfillment Insights Data Scientist (ETW) The team: The key function of post purchase fulfillment insights is to enable our ability to monitor, track and analyze the overall strength and health of Nike's post purchase experiences through qualitative and quantitative approaches with the goal of helping
Job Source: Saxon GlobalSaxon Global
Portland, OR, United States
Title: Data Scientist Location: Portland, OR Duration: 2 year contract General Job Duties: Use predictive modeling, machine learning, and other advanced analysis to increase and optimize customer experiences, revenue generation, prospect targeting and other business outcomes. Actively work with internal and external customers to analyze business
Job Source: Saxon GlobalPortland, OR, United States
In the mid-1950s, William Fair and Earl Isaac teamed up to develop a groundbreaking approach to credit risk assessment. Drawing on their expertise in economics and mathematics, they sought to address the challenge of evaluating borrowers' creditworthiness more accurately and efficiently. Through meticulous data analysis and modeling, Fair and Isaac pioneered the concept of credit scoring, introducing statistical techniques to predict the likelihood of loan default based on historical data. Their innovative Fair Isaac Credit Scoring System, launched in 1956, revolutionized lending practices by providing lenders with a quantitative tool to assess risk objectively. This development not only improved access to credit for deserving individuals but also laid the foundation for modern credit scoring methodologies that continue to shape financial decision-making today.
At Mercury, we're looking to seed our team with candidates who can use their background in analytics applied with product development to accelerate the adoption of Mercury. In this role, you'll be responsible for proactively deriving data insights and partnering with engineering, marketing, design, onboarding, and other product business teams to inform how we invest in and build our Credit Lending product. You'll build a data-informed culture across Mercury so that we can all determine what's happening, react quickly, and invest intelligently. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Product..
Here are some things you'll do on the job:
Collaborate with other Data Scientists and Data Engineers to build and improve data pipelines, tools, and infrastructure to streamline data collection, processing, and analysis workflows, and ensure the integrity, reliability, and security of data assets.
Analyze historical data to identify trends, patterns, and risk factors, informing the design of risk mitigation strategies and credit policy adjustments.
Partner with Ecommerce Lending Product stakeholders and cross-functional teams to identify impactful business questions, conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions.
Serve as the Data Lead for the current lending product and provide thought leadership & strategic thinking to influence engineering, design, and business teams and implement data-based recommendations to build toward future lending products
Work with the cross-functional team to identify underwriting improvement opportunities, monitor customer portfolios, evaluate portfolio risk and make appropriate recommendations for scaling and efficiency
Leverage data models and advanced analytics techniques to design long-term solutions including enhancements of existing strategies and building new process improvements
Develop and execute data-driven experiments and simulations to evaluate the performance of loan products under different eligibility criteria and loan terms
You should: Have 7+ years of experience working with and analyzing large datasets to solve problems and drive impact
Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.).
Have experience building scalable data pipelines and ETL processes with DBT and understand different database structures.
Have the ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership.
Be super organized and communicative. You will need to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels.
Be familiar with analytical models/analysis used to support loan underwriting and account management underwriting policies
Experience in credit risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation and automation etc.) will be a strong advantage
The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following: US employees (any location): $203,100 - 238,900 USD
Canadian employees (any location): CAD 184,800 - 217,400
Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust, Members FDIC.
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.
#LI-DNI
Email Alert for Senior Data Scientist - Ecommerce jobs in Portland, OR, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.