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Time Series Analysis Jobs (NOW HIRING)

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 ...

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

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 ...

... Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation ...

Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (Random Forest, Gradient Boosting, XGBoost) * Develop inventory optimization algorithms (linear ...

... time series data sets and all source analysis. The successful candidate must be able to understand waveform propagation, data fusion, and be able to apply it to conduct analysis of data sets.

... time series data sets. The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets. Demonstrated understanding of digital signal ...

... time series data sets. The successful candidate must be able to understand waveform propagation and be able to apply it to conduct analysis of data sets. Demonstrated understanding of digital signal ...

Your cross-team leadership will drive the development of scalable, reusable analytical frameworks - especially for financial time series analysis, while ensuring rigorous data quality and production ...

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Time Series Analysis information

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$40K

$92K

$142.5K

How much do time series analysis jobs pay per year?

As of Aug 18, 2026, the average yearly pay for time series analysis in the United States is $91,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a time series analysis?

A Time Series Analysis job involves analyzing data points collected or recorded at specific time intervals to identify patterns, trends, and seasonal variations. Professionals in this role use statistical methods, machine learning models, and forecasting techniques to interpret historical data and make future predictions. Common applications include finance, economics, weather forecasting, and business performance analysis. Strong analytical skills, programming knowledge (e.g., Python, R), and experience with time series models like ARIMA or Prophet are typically required.

What are the key skills and qualifications needed to thrive in time series analysis?

To excel in Time Series Analysis, you need a strong background in statistics, data analysis, and mathematics, often supported by a degree in statistics, economics, computer science, or a related field. Experience with programming languages such as Python or R, familiarity with statistical packages, and knowledge of specialized tools like ARIMA or machine learning libraries are highly beneficial. Attention to detail, problem-solving skills, and clear communication are important for effectively interpreting data and sharing insights with stakeholders. These competencies enable professionals to extract meaningful trends from complex datasets, inform strategic decisions, and provide valuable forecasts for businesses.

What are some common challenges faced in a time series analysis role and how are they addressed?

Professionals in Time Series Analysis often encounter challenges such as handling missing or noisy data, accounting for seasonality and trends, and selecting the most appropriate modeling techniques for complex real-world problems. Addressing these challenges typically involves thorough data preprocessing, applying advanced statistical or machine learning models, and collaborating with domain experts to understand business contexts. Regularly updating models and validating forecasts also ensures accuracy and relevance. This dynamic environment helps analysts develop their expertise, adopt innovative solutions, and contribute significantly to data-driven decision-making within their organizations.

What jobs use time series analysis?

Time series analysis is used in various roles such as data analysts, financial analysts, economists, and data scientists. These jobs involve analyzing sequential data to forecast trends, detect anomalies, or inform decision-making, often using tools like Python, R, or specialized software. Professionals in these roles typically require strong statistical skills and experience with data visualization and modeling.
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Cities with the most Time Series Analysis job openings:

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What states have the most Time Series Analysis jobs?

States with the most job openings for Time Series Analysis jobs include:

Infographic showing various Time Series Analysis job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $91,965 per year, or $44.2 per hour.

GEN AI Engineer

ClifyX

Irving, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 8 days ago


Job description

Job Summary:
ClifyX is a company focused on innovative AI solutions, and they are seeking a GEN AI Engineer to develop and implement cutting edge generative AI models. The role involves hands-on coding, data manipulation, and building GenAI applications using various NLP and AI technologies.
Responsibilities:
• Strong Data Structures Any Language Code Comprehension Python or Java.
• Ability to do hands on coding in the interview real-time for given scenario with right solution approach.
• Proficient in Data manipulation and cleansing preprocess large datasets handle missing values perform feature engineering ensure data integrity.
• AIML Strong NLP Deep Learning Concepts with transformer architecture understanding.
• LLM fine tuning exposure on one or few leading LLM like Dolly Llama2 or any other.
• Experience in developing and implementing cutting edge generative AI models to solve complex problems.
• Ability to perform prompt engineering and designing right prompts based on functional use cases.
• Should have hands on of NLPAIML tool technologies GPT BERT or other language models.
• Should have experience in building GenAI applications.
• Word Embedding and Vector DB usage with the leading vector DB implementation Pinecone Milvus or Pgvector.
• Statistical Analysis Strong proficiency in statistical techniques and methodologies including hypothesis testing regression analysis 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-time for given scenario with right solution approach.
• Proficient in Data manipulation and cleansing preprocess large datasets handle missing values perform feature engineering ensure data integrity.
• AIML Strong NLP Deep Learning Concepts with transformer architecture understanding.
• LLM fine tuning exposure on one or few leading LLM like Dolly Llama2 or any other.
• Experience in developing and implementing cutting edge generative AI models to solve complex problems.
• Ability to perform prompt engineering and designing right prompts based on functional use cases.
• Should have hands on of NLPAIML tool technologies GPT BERT or other language models.
• Should have experience in building GenAI applications.
• Word Embedding and Vector DB usage with the leading vector DB implementation Pinecone Milvus or Pgvector.
• Statistical Analysis Strong proficiency in statistical techniques and methodologies including hypothesis testing regression analysis time series analysis and clustering.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998