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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: CoinbaseTriMet
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, LLCHP
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: HPMercury
Portland, 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
Job Source: MercuryComputer Science Hero
Portland, OR, United States
Learn about top tech training programs today X How to Become a Data Scientist CAREER GUIDE How to Become a Data Scientist Here are a few reasons to consider a career in data science: According to the US Bureau of Labor Statistics, the information and computer science field is projected to grow over 16% over the next ten years. There are over th
Job Source: Computer Science HeroKLA
Hillsboro, OR, United States
Base Pay Range: $83,800.00 - $142,500.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by
Job Source: KLAPortland, 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 ultimately successful, kicking off the “Green Revolution” that increased global crop yields by an estimated 44% and earned him a Nobel Prize.
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 Mercury’s future. 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:
Partner with Product stakeholders and other 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.
Define and analyze metrics that inform tactical decisions and overall strategy for teams that allow us to monitor the health of our products.
Educate teams on how to best use data and define best practices for making decisions on prioritization, experimentation, data models, and more.
Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
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.
Influence engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury.
You should:
Have 7+ years of experience working with product teams on goaling, experimentation, funnels, reporting and finding new opportunities with minimal guidance.
Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.).
Have the ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership.
Have experience crafting data pipelines and dashboards, and understand different database structures.
Be super organized and communicative. You will need to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels.
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.
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Email Alert for Senior Data Scientist jobs in Portland, OR, United States
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