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Evening Amazon Data Science Jobs in Oregon (NOW HIRING)

Instacart

Senior Marketing Decision Scientist II

OR · On-site +1

Overview Instacart's Marketing Data Science and Analytics team partners across Marketing, Strategic ... Amazon Marketing Cloud or Ads Data Hub) and ad platform APIs. * Experience with analytics ...

Pacvue

VP, AI Strategy & Delivery

OR · On-site +1

... Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI ... This role will build on the strong AI and Data Science foundation already in place (based primarily ...

Amazon

Data Center Manager

Umatilla, OR · On-site

$161K/yr

Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon ... in computer science, engineering, mathematics or equivalent - 2+ years of people management ...

Amazon

Data Center Technician

Umatilla, OR · On-site

... Science, Network Engineering), or experience in professional or military IT-related roles ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

phData

Principal Applied AI Solutions Architect

OR · On-site +1

You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers ... Redshift, Amazon EMR, HDFS, or similar large-scale data processing and storage technologies.

Deloitte

Senior Forward Deployed Engineer- AWS

Portland, OR · On-site

$110K - $152K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Deloitte

Forward Deployed Engineer- AWS

Portland, OR · On-site

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ years of ... Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails * 1+ years of ...

Instacart

Ads AI Analytics Lead II

OR · On-site +1

You will partner with Ads GTM, Product, Data Science, and Engineering to ship production agents ... Familiarity with retail media or ad platforms, including Amazon, Google, Meta, Shopify, or DoorDash ...

Amazon

Tech Writer-Tech III - AMZ10358499

Portland, OR · On-site

$125K - $170K/yr

AMAZON DEVELOPMENT CENTER U.S., INC., Offered Position: Tech Writer-Tech III Job Location: Portland ... Engage with customers, gather data and feedback, and report insights around content performance ...

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All JobsEvening Amazon Data Science JobsEvening Amazon Data Science Jobs in Oregon

Evening Amazon Data Science information

What is an evening Amazon data science job?

An Evening Amazon Data Science job typically involves working as a data scientist at Amazon during evening hours, either as part of a flexible schedule or to cover specific business needs. Data scientists at Amazon analyze large datasets, develop predictive models, and provide insights to improve products, services, or operations. Working evening shifts may be ideal for those seeking non-traditional hours or balancing other commitments. Responsibilities are similar to daytime roles but may require additional collaboration with global teams or support for time-sensitive projects.

What are some common challenges faced by data scientists working evening shifts at Amazon, and how can they be managed?

Data scientists working evening shifts at Amazon may face challenges such as coordinating with colleagues in different time zones, maintaining effective communication with daytime teams, and managing work-life balance. To overcome these hurdles, it's helpful to leverage collaborative tools like Slack or Amazon Chime for asynchronous communication, schedule overlap meetings when possible, and establish clear expectations with team members. Additionally, evening shift roles can offer the advantage of uninterrupted focus time for deep analysis and model development, which can contribute to higher productivity and skill growth.

What are the key skills and qualifications needed to thrive as an evening Amazon data science professional, and why are they important?

To thrive as an Evening Amazon Data Science professional, you need a strong background in statistics, machine learning, and data analysis, typically supported by a relevant degree in computer science, mathematics, or a related field. Proficiency with tools like Python, SQL, AWS services (such as Redshift or S3), and data visualization platforms is essential, along with experience using version control systems. Strong communication skills, problem-solving abilities, and adaptability to work independently during non-standard hours help you stand out in this role. These skills ensure you can effectively derive insights, collaborate across teams asynchronously, and support data-driven decision-making in Amazon’s dynamic environment.

What is the difference between Evening Amazon Data Science vs Amazon Data Analyst?

AspectEvening Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's degree in Data Analysis, Business, or related fields; proficiency in Excel, SQL
Work EnvironmentFocus on developing models, algorithms, and advanced analytics during evening shiftsData reporting, visualization, and supporting business decisions, often during regular hours
Employer & Industry UsageUsed in tech and e-commerce sectors for machine learning and predictive modelingCommon in retail, e-commerce, and logistics for data reporting and insights

While both roles involve working with data at Amazon, Evening Amazon Data Science focuses on advanced analytics and model development during evening hours, whereas Amazon Data Analysts primarily handle data reporting and insights during regular hours. The roles differ in technical complexity and daily responsibilities but share a common goal of leveraging data to improve business outcomes.

Does Amazon have an evening shift?

Amazon offers evening shifts for various roles, including data science positions, to support 24/7 operations. These shifts typically start in the late afternoon or evening and may require flexibility in working hours. Availability of evening shifts can vary by location and department.

What are the most commonly searched types of Amazon Data Science jobs in Oregon?

The most popular types of Amazon Data Science jobs in Oregon are:

What cities in Oregon are hiring for Evening Amazon Data Science jobs?

Cities in Oregon with the most Evening Amazon Data Science job openings:

Evening Amazon Data Science jobs near you

Director of Production Engineering, Extended-Hours Support (Data Science)

OR • On-site, Remote

Natera
Biotechnology Research and Development • 1 - 5K employees

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

56th of 120 rated laboratories

People enjoy working here

Good employer

Paid breaks

Learn more about Nateraexternal

Full-time

Posted 10 days ago

Job description

This is an exciting opportunity to direct the Extended-Hours Support (ExHS) engineering team within Natera's Data Science Production Engineering (DSPE) organization. In this leadership role, you will oversee the ExHS team's entire operation, ensuring the team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams, within a CLIA/FDA regulated environment.

Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) during emergencies or other critical events. The Director does not require general availability during the extended hours, but only during emergencies or other critical events during the extended hours.

PRIMARY RESPONSIBILITIES:

Team Leadership and Operations

  • Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams.
  • Enforce operating procedures for compliance, quality, and efficiency.
  • Measure, report, and continuously improve team operational effectiveness.
  • Lead the team during critical production incidents or emergency events during and outside standard business hours.

Technical Execution and Infrastructure

  • Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit).
  • Develop and maintain technologies for operational efficiency.
  • Manage and execute analytics workflows on Snowflake and AWS infrastructure (Redshift, Athena, Batch, EC2, S3), and ensure strictly compliance to CLIA, FDA, and internal quality management standards.

Process Improvement

  • Improve operating procedures for compliance, quality, and efficiency.
  • Train and coach team members on new technologies, procedures, and guidelines/best practices.
  • Identify areas for improvement within the DSPE ExHS team, develop improvement solutions, and/or work with DSPE teams to implement such solutions.

Cross-Functional Collaboration

  • Represent the Extended-Hours Support (ExHS) teams in stakeholder meetings.
  • Proactively manage stakeholder expectations.
  • Establish regular stakeholder reporting mechanisms.
  • Translate complex analytical results into actionable recommendations for cross-functional partners.

QUALIFICATIONS:

  • Master's degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, or Operations Research required; Doctorate degrees are a plus.
  • Minimum 8 years of relevant industry experience with a Master's degree (or minimum 4 years with a Doctorate).
  • Minimum 3 years of experience operating within a highly regulated environment (CLIA and/or FDA compliant settings).
  • Minimum 3 years of management experience leading medium-sized teams (e.g., of 7 to 20 engineers or analysts, or larger) in production support or operational roles.
  • Working knowledge of diagnostic laboratory business processes and genomic/bioinformatics technologies.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Proficient in data analysis and statistical techniques.
  • Proficient in Python and SQL development.
  • Hands-on experience with Snowflake platform technologies and AWS cloud analytics tooling (Redshift, Athena, Batch, EC2, S3).
  • Demonstrated experience developing operational dashboards and analytical tools using AWS QuickSight, Streamlit, or equivalent platforms.
  • Strong written and verbal communication skills, with a track record of building cross-functional trust and explaining technical data clearly.
  • Ability to navigate operational ambiguity, establish structure where gaps exist, and resolve production bottlenecks directly.
  • Good documentation practices and coding style.
  • Strong integrity.
  • Team player, collaborative.

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