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Remote Meta Data Science Jobs in Oregon (NOW HIRING)

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents ... Meta, Shopify, or DoorDash. #LI-Remote

Principal Data Analyst, Growth Marketing

OR · On-site +1

$86K - $107K/yr

Deep expertise in applying analytics and data science techniques to drive impacts in growth and ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices. * Identify ...

New

$130K/yr

Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices. * Identify ...

New

Sr. Scientist

OR · On-site +1

San Carlos, CA, Austin, TX, or Remote, USA Sr. Scientist -CKD and rare disease Job Summary Natera ... Collaborate closely with Sales, R&D, Data Science, Business Development, Medical Affairs, Product ...

New

This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ... Bachelor's degree in data science, statistics, computer science, healthcare informatics ...

Senior Data Engineer

$105K - $150K/yr

Work closely with data scientists, business analysts, and stakeholders to understand business ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

... Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

... meta analyses, or other sources of safety and performance data (e.g. IIS clinical data, as ... Ability to review, collate, describe and summarize scientific and technical data. Ability to ...

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Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What job categories do people searching Remote Meta Data Science jobs in Oregon look for? The top searched job categories for Remote Meta Data Science jobs in Oregon are:
What cities in Oregon are hiring for Remote Meta Data Science jobs? Cities in Oregon with the most Remote Meta Data Science job openings:
Data Product Manager

Data Product Manager

UMB Financial

OR • On-site, Remote

Full-time

Re-posted 15 days ago


Job description

The Bank Products and Services groupprovides a bank-wide product and services framework that prioritizes client needs, resources and capital demands for creating growth, providing TUCE and introducing greater innovation and efficiencies into our solutions and operating model.

As a Data Product Manager, you will lead and inspire cross-functional teams in the creation and delivery of business-driving data products, fostering collaboration, innovation, and a commitment to excellence. You will also collaborate with business leaders, data owners, data stewards, product managers, solution architects, and business analysts to design high-impact data solutions. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Product leadership.

This role is hybrid (Mon through Thu on-site; Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside of the Kansas City area. However, the remote location must but within the US.

How you will spend your time:

  • Translate business requirements into detailed data, product specifications, and technical requirements.
  • Work closely with data engineering, data science, data governance, and platform teams to develop and launch data products.
  • Collaborate with Data Product Owner to define, articulate, and champion the vision, mission, and strategic roadmap for data products.
  • Assess complex business challenges, recommending leading practices to enhance and differentiate data products.
  • Develop and maintain a product roadmap that outlines the development and release schedule for data products, including managing backlog and assists with planning upcoming pipeline.
  • Prioritize features and enhancements based on customer feedback, market needs, and business goals.
  • Collaborate with a team to develop comprehensive documentation for data products, including user guides, technical specifications, and FAQs, including ensuring data mapping, lineage, definitions, and controls are documented in the data management tooling solution.
  • Co-develop data product lifecycle, from ideation and prototyping to testing, deployment, and support.
  • Understand the integration of data from various sources into data products.
  • Ensure products are scalable, reliable, secure, and compliant with industry standards and regulations.
  • Develop and monitor key performance indicators (KPIs) to measure product success and impact.
  • Analyze product performance data to identify areas for improvement and make recommendations for optimization.
  • Regularly communicate product updates, strategic vision, and performance metrics to stakeholders, ensuring alignment and transparency.
  • Convey complex technical concepts to non-technical stakeholders.
  • Help establish a culture of trust and accountability within the data product team and with other stakeholders, including working with the data product team to develop their skillset.

We're excited to talk if you have:

  • A Bachelor's Degree in Computer Science, Data Science, Management Information Systems, Business Administration or related discipline or equivalent work experience.
  • At least 6 years of experience in data governance, product management, business analysis, data engineering, data science or a related field with at least 3 years of experience specifically focused on data products or data-driven initiatives.
  • Experience working with multiple functional teams and engaging closely with the business.
  • Strong business presence, ability to lead cross-functional partners in all phases of projects and serve as the "go to" point person for business data needs.
  • Excellent analytical and quantitative skills and able to generate insights from data and translate it into actionable changes.
  • Strong leadership, communication, and interpersonal skills.
  • Exceptional organizational skills and pays keen attention to detail.
  • Strong ability to write, present, share ideas, and articulate concepts.
  • Designed and implemented frameworks, processes, and metrics for a data office/function within banking services.
  • Strong understanding of data technologies, integration, and architecture, including familiarity with cloud platforms (AWS, Azure), modern data platforms (Snowflake, Databricks), and data processing frameworks (Hadoop, Spark).
  • Experience with BI tools (PowerBI, Tableau) and data analytics, including data modeling, ETL processes, and SQL.
  • Knowledge in financial services process/workflow, including data management, card transactions, core banking deposits and customer processing, loan processing, payments, and fraud management.

Bonus Points if you have:

  • Experience with defining data risk and familiarity with financial services privacy and data risk standards.
  • Proficiency in utilizing Informatica data management tools and defining data concepts.
  • Ability to lead and capture business needs.
  • Experience advancing a bank's data product capabilities and developing a rollout plan.

Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.


Compensation Ranges:

US Employees in California, Washington DC, New Jersey, and New York:

$100,710 - $157,630

US Employees in Colorado, Connecticut, Delaware, Illinois, Massachusetts, Maryland, Minnesota, Pennsylvania, Rhode Island, Texas, Washington, and Wisconsin:

$91,950 - $144,320

US Employees in all other states not listed above:

$83,200 - $131,000

The posted compensation range on this listing represents UMB's good faith and reasonable estimate based on its budget and what it expects to be the starting pay for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. Please see the description of benefits included with this job posting for additional information.

UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.

Are you ready to be part of something more?
You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.


UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to talentacquisition@umb.com to let us know the nature of your request.


If you are a California resident, please visit our Privacy Notice for California Job Candidates to understand how we collect and use your personal information when you apply for employment with UMB.


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