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Data Science Manager Remote Jobs in Oregon (NOW HIRING)

Data Scientist

OR · On-site +1

You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or ... Background in procurement, contract management, spend analytics, or financial operations domains

Data Scientist II

OR · Remote

$130K - $150K/yr

... inventory management * Define and track KPIs to measure model performance and business impact ... Degree or equivalent years of experience in data science, statistics, computer science, or similar ...

Data Scientist

Portland, OR · On-site +1

$114K - $149K/yr

Your answers will be reviewed by the hiring manager and agency leadership if you are referred for ... Mathematics, statistics, computer science, data science or field directly related to the position.

Overview Instacart's Marketing Data Science and Analytics team partners across Marketing, Strategic ... Prioritize ruthlessly in a dynamic environment, managing multiple concurrent projects and elevating ...

Data Analyst I

OR · On-site +1

$67K/yr

Collaborate with engineers, data scientists, program managers and external stakeholders to ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

... best science and commitment to quality into everything that we do. * Mission: * Use the data ... focus and manage expectations on possibilities and lead times * Collaborate with business ...

RCM Billing Account Manager - Remote Compensation: $28 - $30 per hour Nexus HR is looking for a ... Data entry and Microsoft Excel, Google Drive * Excellent written and verbal communication skills ...

RCM Billing Account Manager - Remote Compensation: $28 - $30 per hour Nexus HR is looking for a ... Data entry and Microsoft Excel, Google Drive * Excellent written and verbal communication skills ...

Innovation Manager (Remote)

OR · Remote

$75K - $109K/yr

#LI-Remote A DAY IN THE LIFE The Innovation Manager supports initiatives moving through the company ... This role focuses on execution support, data gathering and analysis, and coordination tasks that ...

Regularly analyze product performance, customer feedback, and market trends to inform data-driven ... Manage trade-offs between feature requests, technical constraints, and business needs while ...

Data Management: Own the CRM integrity for the channel, ensuring 100% accurate deal tracking, lead ... Remote Work Compensation: $150,000 OTE Why you might like working here * We offer a positive ...

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Data Science Manager Remote information

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Remote positions may offer competitive compensation aligned with industry standards and often include benefits such as bonuses and stock options.

Can a data scientist work fully remote?

Data science managers and data scientists often have the option to work fully remote, especially in companies that support remote work policies. Success in remote roles typically requires strong communication skills, proficiency with collaboration tools, and the ability to manage projects independently.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data science managers often focus on identifying the most impactful data, models, or features to optimize performance and efficiency in projects.

What does a remote Data Science Manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager, as skills and experience are more important. Many professionals transition into data science roles later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning. Continuous learning and practical experience can help individuals succeed regardless of age.

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a Data Science Manager working remotely typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

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

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Oregon? For Data Science Manager Remote jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Data Science Manager Remote jobs? Cities in Oregon with the most Data Science Manager Remote job openings:
Senior Data Scientist II - Core Delivery

Senior Data Scientist II - Core Delivery

Instacart

OR • Remote

Other

Posted 19 days ago


Instacart rating

7.0

Company rating: 7.0 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

31st of 62 rated delivery companies


Job description

Overview

The Core Delivery team at Instacart is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize delivery experience. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.

About the Job

  • Own analytical frameworks that guide the product roadmap.
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
  • Develop statistical models to extract trends, measure results, and predict future performance of our products.
  • Build simulations to project the impact of various product and policy interventions.
  • Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
  • Present findings in a compelling way to influence Instacart's leadership.

About You

Minimum Qualifications

  • 7+ years of experience working in a data science or ML role at a product company.
  • Ability to run rigorous experiments and generate scientifically sound recommendations.
  • Strong SQL skills for data extraction and transformation from relational databases.
  • Proficiency in Python or R for data manipulation and statistical analysis, including libraries such as pandas, scikit-learn, or equivalent.
  • Ability to translate business needs into analytical frameworks.

Preferred Qualifications

  • Experience with geospatial analysis techniques.
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.

#LI-remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012