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Trainee Time Series Analysis Jobs (NOW HIRING)

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. * Develop end‑to‑end ML pipelines and support deployment of models ...

New

... time-series analysis • Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions Qualifications : Required : • Several years of experience with Python and ...

Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. * Develop end-to-end ML pipelines and support deployment of models into ...

Gen AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... time series analysis and clustering. Qualifications : Required : • Strong Data Structures Any Language Code Comprehension Python or Java. • Ability to do hands on coding in the interview real ...

Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. Develop end-to-end ML pipelines and support deployment of models into ...

Data Scientist

Chandler, AZ · On-site

$90 - $120/hr

Build and optimize machine learning models for classification, regression, predictive analytics, and time series forecasting. * Develop end-to-end ML pipelines and support deployment of models into ...

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... time series analysis and clustering. Qualifications : Required : • Strong Data Structures Any Language Code Comprehension Python or Java. • Ability to do hands on coding in the interview real ...

... learning, time series analysis, econometrics) to solve complex forecasting challenges Design and implement scalable, reliable approaches to extract insights from large, complex datasets across ...

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Trainee Time Series Analysis information

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How much do trainee time series analysis jobs pay per year?

As of Aug 8, 2026, the average yearly pay for trainee time series analysis in the United States is $43,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,000.00 and $51,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Trainee Time Series Analysis jobs? Cities with the most Trainee Time Series Analysis job openings:
What are the most commonly searched types of Time Series Analysis jobs? The most popular types of Time Series Analysis jobs are:
What states have the most Trainee Time Series Analysis jobs? States with the most job openings for Trainee Time Series Analysis jobs include:

Safety Statistician, III - Risk & Safety Analysis

Torc Robotics

Remote

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. As a Safety Statistician, you will be responsible for conducting analyses to inform safety assurance strategies and risk-based decision making, directly influencing how safety performance and risk are understood across the organization.
Responsibilities:
• Employ statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk
• Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets
• Bridge safety and engineering teams by translating complex analyses into information engineers can act on
• Develop automated, production-ready analysis workflows that support continuous safety monitoring
• Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate
• Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives
Qualifications:
Required:
• Advanced degree in Statistics or a closely related field
• M.S. with 3+ years of experience, or
• PhD with 1+ years of experience
• Strong background in applied statistics, safety analysis, and risk estimation
• Experience in autonomous vehicles, adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail, etc.), or comparable actuarial experience
• Experience working with complex, real-world datasets rather than clean or purely academic data
• Hands-on experience using Python for analysis (SQL and/or R a plus, but not required)
• Ability to communicate statistical concepts clearly to non-statistical audiences
• Comfort operating independently as a technical leader in a cross-functional, distributed environment
• Domain knowledge in Bayesian methods
Preferred:
• Experience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving)
• Background applying statistics to engineering or physics-based systems
• Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling
• Experience supporting executive or external stakeholder decision-making requiring quick turnarounds, balancing analytical rigor with timeliness
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.