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Trainee Exploratory Data Analysis Jobs (NOW HIRING)

Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...

Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, machine learning ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection ...

Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns, correlations, and trends. Modeling and Machine Learning: Developing algorithms, designing predictive models, and training ...

Data Engineer

Annapolis Junction, MD · On-site

$117K - $140K/yr

The role involves managing data storage, transport, security, and compliance, as well as performing exploratory data analysis on raw data. Responsibilities : • orchestrate complex operational data ...

Apply exploratory data analysis, statistical techniques, and basic predictive modeling to large, multi-source datasets to identify trends, correlations, and outliers that support operational and ...

Apply exploratory data analysis, statistical techniques, and basic predictive modeling to large, multi-source datasets to identify trends, correlations, and outliers that support operational and ...

Apply exploratory data analysis, statistical techniques, and basic predictive modeling to large, multi-source datasets to identify trends, correlations, and outliers that support operational and ...

Showing results 21-40

Trainee Exploratory Data Analysis information

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$22.5K

$88.7K

$144K

How much do trainee exploratory data analysis jobs pay per year?

As of Aug 18, 2026, the average yearly pay for trainee exploratory data analysis in the United States is $88,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What cities are hiring for Trainee Exploratory Data Analysis jobs?

Cities with the most Trainee Exploratory Data Analysis job openings:

What are the most commonly searched types of Exploratory Data Analysis jobs?

The most popular types of Exploratory Data Analysis jobs are:

What states have the most Trainee Exploratory Data Analysis jobs?

States with the most job openings for Trainee Exploratory Data Analysis jobs include:

Infographic showing various Trainee Exploratory Data Analysis job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $88,664 per year, or $42.6 per hour.

Senior Data Scientist - Forecasting, AI Development

Jobtailor

Manhattan, NY • On-site

$120 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Responsibilities
  • Own and evolve key forecasting assets, applying modern statistical, machine learning, and AI-driven approaches to improve accuracy, scalability, and business value
  • Integrate AI into forecasting workflows, such as feature engineering, exploratory data analysis, and model development
  • Shape next-generation forecasting capabilities while driving measurable impact across the organization
Requirements
  • 3+ years of experience in data science, forecasting, or a related quantitative field
  • Strong expertise in time series forecasting methods, including statistical and machine learning approaches
  • Experience with ensemble modeling techniques and model evaluation strategies
  • Proven experience with hierarchical or multi-level forecasting
  • Strong programming skills in Python (e.g., pandas, NumPy, scikit-learn, statsmodels, or similar libraries)
  • Experience applying AI/ML techniques to forecasting workflows, including feature engineering and exploratory data analysis
  • Strong problem-solving, communication, and stakeholder management skills
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