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Internship Downstream Scientist Jobs (NOW HIRING)

PODS

Data Scientist III- Operations

Clearwater, FL · On-site

Maintain data models in Snowflake that other analysts and downstream tools rely on. * Create ... Relevant internship, co-op, or graduate research may count toward experience. * Hands-on experience ...

US AI

Sr. Data Scientist

North Bethesda, MD · On-site

$150K - $200K/yr

Analyze raw data: assessing quality, cleansing, structuring for downstream processing * Design ... Demonstrated expertise gained through relevant internships, coursework, and personal projects that ...

US AI

Sr. Data Scientist

North Bethesda, MD · On-site

$150K - $200K/yr

Analyze raw data: assessing quality, cleansing, structuring for downstream processing * Design ... Demonstrated expertise gained through relevant internships, coursework, and personal projects that ...

Waabi

Research Scientist, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

... for downstream planning, testing, and training. You will... * Conduct fundamental and applied ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Waabi

Research Scientist, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

... for downstream planning, testing, and training. You will... * Conduct fundamental and applied ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Waabi

Research Scientist, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

... for downstream planning, testing, and training. You will... * Conduct fundamental and applied ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Waabi

Research Scientist, World Models

$155K - $269K/yr

... for downstream planning, testing, and training. You will... * Conduct fundamental and applied ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

... for downstream planning, testing, and training. You will... * Conduct fundamental and applied ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

... for downstream planning, testing, and training. You will... * Conduct fundamental and applied ... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ...

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How much do internship downstream scientist jobs pay per year?

As of Sep 15, 2026, the average yearly pay for internship downstream scientist in the United States is $94,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $119,000.00 per year, depending on experience, location, and employer.
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Internship Downstream Scientist jobs near you
Infographic showing various Internship Downstream Scientist job openings in the United States as of September 2026, with employment types broken down into 16% Internship, 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $94,420 per year, or $45.4 per hour.

Data Scientist III- Operations

Clearwater, FL • On-site

PODS
Transportation and Warehousing • 1 - 5K employees
Learn more about PODSexternal

Full-time

Posted 4 days ago

PODS rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

Job description

JOB SUMMARY
As a Data Scientist on the Operations Data Science & AI team, you will report to the Director, Operations Data Science & AI and work with senior data scientists and operational stakeholders to develop optimization models, predictive models, and automated workflows. Your work will help PODS make better decisions across capacity planning, routing, scheduling, resource allocation, and other field operations.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop optimization solutions:
    • Build and support optimization models for capacity planning, routing, scheduling, and resource allocation.
    • Formulate business problems using decision variables, objectives, and operational constraints.
    • Assist in root-cause analysis to surface optimization and automation opportunities across field operations.
  • Develop predictive models:
    • Build, test, and maintain forecasting, regression, classification, and anomaly-detection models for operational problems.
    • Prepare and validate data, engineer features, and evaluate model results.
  • Build and automate workflows:
    • Build reproducible data pipelines and automate recurring analyses, model runs, and reporting, replacing manual processes.
    • Contribute to shared tooling, frameworks, and standards so that solutions are repeatable.
  • Develop analytical assets and data models:
    • Maintain data models in Snowflake that other analysts and downstream tools rely on.
    • Create dashboards and decision-support tools that make results actionable.
  • Document and communicate clearly:
    • Document logic, methodology, and assumptions alongside every model, tool, or pipeline you build.
    • Present findings and their limitations in plain language to the team and operational stakeholders.

JOB QUALIFICATIONS: Essential Skills, Abilities and Example Behavior(s)
  • Mathematical optimization: Hands-on experience formulating and solving mixed-integer linear programming models, including defining decision variables, objectives, and constraints.
  • Optimization tools: Previous experience with Gurobi, Pyomo, OR-Tools, PuLP, CPLEX, or a similar optimization library or solver is required.
  • SQL and Python fluency: Strong SQL on a modern cloud data warehouse, preferably Snowflake, and Python for analysis and model development.
  • Applied machine learning: Experience building, testing, and validating forecasting, regression, classification, or other predictive models, with judgment about which method fits the problem.
  • Workflow automation: Experience building reproducible data pipelines and automating recurring analyses and model workflows.
  • Data visualization: Ability to communicate analytical and model outputs through clear visualizations and practical decision-support tools.
  • Communication and documentation: Ability to explain methods and results clearly and document work so that it is reproducible and reviewable.
  • Structure amid ambiguity: Ability to turn loosely defined operational problems into clear analytical questions and practical solutions.

JOB QUALIFICATIONS: Education & Experience Requirements
  • Bachelor's degree in a quantitative field such as Data Science, Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Physics, Computer Science, Engineering, Economics, or a related field required; master's degree preferred
  • 5+ years of applied data science, machine learning, or quantitative analytics experience. Relevant internship, co-op, or graduate research may count toward experience.
  • Hands-on experience with SQL on a modern cloud data warehouse (Snowflake preferred) and with Python for analysis.
  • Experience or coursework in machine learning and mathematical optimization, with exposure to cloud-based data platforms such as Snowflake or AWS.
  • Experience supporting an Operations, Supply Chain, logistics, or other capacity-constrained business is a plus.

PHYSICAL REQUIREMENTS
  • Ability to sit at a desk and use a computer for up to 8 hours a day; Ability to use hands and fingers to type on a keyboard and use a mouse to navigate; Vision sufficient to view small details on a computer monitor
  • Ability to stand and walk up to 8 hours a day; ability to stoop, bend and lift boxes weighing up to 50 lbs.
  • Ability to hear and verbally communicate using a telephone handset and/or connected headset device

WORKING CONDITIONS
  • Regular business hours. Some additional hours may be required.
  • Travel requirements: Negligible
  • Climate-controlled office environment during normal business hours.
  • Regular attendance and punctuality required
  • May be subject to pre-employment criminal background check and/or drug screening as well as random drug screenings in accordance with company policy

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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