ZipRecruiter

Log In

1

Evening Amazon Data Science Jobs in California (NOW HIRING)

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$110 - $160/hr

... of Data Science related work, projects or internships. * Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake. * Strong ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

... of Data Science related work, projects or internships. * Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake. * Strong ...

AArete

Senior Data Scientist

El Segundo, CA · On-site

Advanced Python experience for data science, machine learning, model experimentation, automation ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

Jj

Principal Data Scientist - Oncology

San Diego, CA · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge ... SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune). * Proven work with ...

AArete

Data Scientist

El Segundo, CA · On-site

Strong Python experience for data science, machine learning, model experimentation, automation, API ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

Parafin, Inc

Data Scientist

San Francisco, CA · On-site

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible ... The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ...

previous page

Showing results 41-60

All JobsEvening Amazon Data Science JobsEvening Amazon Data Science Jobs in California

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 California?

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

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

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

Evening Amazon Data Science jobs near you

Associate Data Scientist

Hayden AI

San Francisco, CA • On-site

$110 - $160/hr

Other

Re-posted 12 days ago

Job description

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Job Summary:

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

Responsibilities:

  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

  • Serve as first responder for data discrepancy and freshness issues.

  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

  • 6+ months of Data Science related work, projects or internships.

  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

  • Solid understanding of descriptive statistics and ability to interpret analytical results.

  • Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications:

  • Previous experience working with geospatial analytics and spatial datasets.

  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

  • Experience with Grafana or similar operational monitoring tools.

  • Exposure to cloud platforms, especially AWS.

  • Prior experience in a startup environment and a desire to make a significant impact.

#J-18808-Ljbffr

Apply