Data Scientist
Reston, VA · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Data Scientist
Reston, VA · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Data Scientist
Annapolis Junction, MD · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Data Scientist
Annapolis Junction, MD · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Experience implementing one or several of the following statistical techniques: linear regression, time series analysis, experimental design, hypothesis testing, and A/B testing * Experience with ...
Experience implementing one or several of the following statistical techniques: linear regression, time series analysis, experimental design, hypothesis testing, and A/B testing * Experience with ...
Economic Analyst
Birmingham, AL · Remote
Knowledge of forecasting techniques, time-series analysis, and predictive modeling. * Experience with data visualization tools such as Tableau, Power BI, or Looker . * Familiarity with U.S. and ...
Quick apply
Economic Analyst
Birmingham, AL · Remote
Knowledge of forecasting techniques, time-series analysis, and predictive modeling. * Experience with data visualization tools such as Tableau, Power BI, or Looker . * Familiarity with U.S. and ...
Data Scientist
Chantilly, VA · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Data Scientist
Chantilly, VA · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Data Scientist
San Antonio, TX · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Data Scientist
San Antonio, TX · On-site
... time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the ...
New
Experience in time series analysis and backtesting Experience * 2 years as quantitative analysis supporting algo trading * Strong understanding of US Treasury market structure: on-the-run/off-the-run ...
Experience in time series analysis and backtesting Experience * 2 years as quantitative analysis supporting algo trading * Strong understanding of US Treasury market structure: on-the-run/off-the-run ...
Proven experience in designing, training, tuning, and evaluating diverse machine learning models, including LLMs, computer vision, and time series analysis. * Expertise in data preprocessing, feature ...
Proven experience in designing, training, tuning, and evaluating diverse machine learning models, including LLMs, computer vision, and time series analysis. * Expertise in data preprocessing, feature ...
Key job responsibilities Apply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand ...
Key job responsibilities Apply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand ...
Key job responsibilities Apply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand ...
Key job responsibilities Apply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand ...
Junior Data Scientist
Atlanta, GA · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Atlanta, GA · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Chicago, IL · On-site +1
Strong command of quantitative methods: regression, time series analysis, spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Chicago, IL · On-site +1
Strong command of quantitative methods: regression, time series analysis, spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Chicago, IL · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Chicago, IL · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Atlanta, GA · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Atlanta, GA · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Washington, DC · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Washington, DC · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Concord, NC · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Concord, NC · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Chicago, IL · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Chicago, IL · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Concord, NC · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Junior Data Scientist
Concord, NC · On-site
Strong command of quantitative methods: regression,time series analysis,spatial econometrics, or comparable approaches applied to real estate or urban economic questions. * Working knowledge of ...
Entry Level Time Series Analysis information
See salary details
$14.42 - $19.34
6% of jobs
$19.34 - $24.26
11% of jobs
$26.01 is the 25th percentile. Wages below this are outliers.
$24.26 - $29.17
22% of jobs
The median wage is $33.27 / hr.
$29.17 - $34.09
13% of jobs
$34.09 - $39.01
12% of jobs
$39.01 - $43.92
9% of jobs
$45.46 is the 75th percentile. Wages above this are outliers.
$43.92 - $48.84
9% of jobs
$48.84 - $53.76
6% of jobs
$53.76 - $58.68
5% of jobs
$58.68 - $63.59
4% of jobs
$63.59 - $68.51
3% of jobs
$14
$38
$68
How much do entry level time series analysis jobs pay per hour?
As of Jul 8, 2026, the average hourly pay for entry level time series analysis in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.
What is an entry level time series analyst?
An entry level time series analyst is a professional who assists in collecting, processing, and analyzing data that is sequenced over time, such as sales trends, stock prices, or weather patterns. Typically, they use statistical techniques and software tools to identify patterns, make forecasts, and support business or research decisions. Entry level analysts often work under the supervision of senior analysts or data scientists and may be responsible for tasks like data cleaning, visualization, and running basic models. This role is suitable for recent graduates with a background in statistics, mathematics, economics, or related fields, and some familiarity with programming or analytics software.
Is 30 too late for data science?
Entry level time series analysis roles in data science do not have an age limit; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and building a strong portfolio can help late entrants enter the field effectively.
What are some typical challenges faced by entry-level professionals in time series analysis, and how can they overcome them?
Entry-level time series analysts often encounter challenges such as managing large and complex datasets, selecting appropriate models, and interpreting results accurately. Learning to preprocess data (e.g., handling missing values or outliers) and understanding the assumptions behind common models like ARIMA or exponential smoothing are essential. Collaborating closely with senior analysts and data scientists can provide practical guidance and feedback, while ongoing training in statistical software (such as Python or R) helps build confidence. Over time, developing a systematic approach to model selection and validation will improve both accuracy and efficiency.
What are the key skills and qualifications needed to thrive as an Entry Level Time Series Analyst, and why are they important?
To thrive as an Entry Level Time Series Analyst, a solid background in statistics, mathematics, and data analysis—often demonstrated through a relevant degree—is essential. Familiarity with statistical software such as R or Python (with libraries like pandas and statsmodels), and experience using data visualization tools are typically expected. Strong attention to detail, critical thinking, and effective communication skills help in accurately interpreting data trends and presenting findings to non-technical stakeholders. These skills and qualities are crucial for producing reliable analyses that support informed decision-making in business and research environments.
What is the difference between Entry Level Time Series Analysis vs Data Analyst?
| Aspect | Entry Level Time Series Analysis | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in Statistics, Data Science, or related field; basic knowledge of time series methods | Bachelor's in Statistics, Data Science, or related field; proficiency in data manipulation and visualization |
| Work Environment | Financial firms, tech companies, or research institutions focusing on forecasting and trend analysis | Various industries including marketing, finance, healthcare, analyzing datasets to inform business decisions |
| Common Usage | Analyzing time-dependent data, forecasting, identifying seasonal patterns | Interpreting data, creating reports, supporting decision-making across departments |
While both roles require a strong foundation in data analysis and similar educational backgrounds, Entry Level Time Series Analysis focuses specifically on analyzing and forecasting time-dependent data, often in finance or research settings. Data Analysts have a broader scope, working with various data types to generate insights across multiple industries.
What jobs use time series analysis?
Entry level time series analysis skills are used in roles such as data analyst, financial analyst, and operations analyst, where analyzing sequential data helps in forecasting and decision-making. These jobs often require proficiency with tools like Python, R, or Excel, and involve working with financial, sales, or sensor data to identify trends and patterns.
How to get into data analysis with no experience?
Entry level time series analysis roles typically require foundational skills in statistics, programming (such as Python or R), and data visualization tools. Gaining experience through online courses, internships, or personal projects can help build a portfolio and demonstrate your abilities to employers.
What jobs pay 4000 a week without a degree?
Entry-level roles in time series analysis typically do not pay $4,000 a week without experience or specialized skills. High-paying jobs in data analysis or finance may reach that level, but they usually require advanced skills, certifications, or experience beyond entry level. Most roles paying this amount are in senior positions or require significant expertise and credentials.
What are the most commonly searched types of Time Series Analysis jobs? The most popular types of Time Series Analysis jobs are:
What job categories do people searching Entry Level Time Series Analysis jobs look for? The top searched job categories for Entry Level Time Series Analysis jobs are:
Job description
Job Summary:
Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help transform data into actionable insights. In this role, you will use advanced analytics, machine learning models, and statistical methods to uncover trends, solve complex problems, and support strategic decision-making.
Responsibilities:
• Analyze large datasets
• Build predictive models
• Design data-driven solutions
• Present insights to stakeholders
• Clean and preprocess raw data
• Collaborate with cross-functional teams
Qualifications:
Required:
• Bachelor's Degree
• Proficiency in Python or R
• Expertise in machine learning
• Data visualization skills
• Statistical analysis
• SQL querying
• Experience with big data tools
• Analyze large datasets
• Build predictive models
• Design data-driven solutions
• Present insights to stakeholders
• Clean and preprocess raw data
• Collaborate with cross-functional teams
Preferred:
• Knowledge of deep learning frameworks
• Familiarity with cloud platforms
• Experience with A/B testing
• Proficiency in natural language processing
• Understanding of time-series analysis
• Expertise in optimization algorithms
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.
Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help transform data into actionable insights. In this role, you will use advanced analytics, machine learning models, and statistical methods to uncover trends, solve complex problems, and support strategic decision-making.
Responsibilities:
• Analyze large datasets
• Build predictive models
• Design data-driven solutions
• Present insights to stakeholders
• Clean and preprocess raw data
• Collaborate with cross-functional teams
Qualifications:
Required:
• Bachelor's Degree
• Proficiency in Python or R
• Expertise in machine learning
• Data visualization skills
• Statistical analysis
• SQL querying
• Experience with big data tools
• Analyze large datasets
• Build predictive models
• Design data-driven solutions
• Present insights to stakeholders
• Clean and preprocess raw data
• Collaborate with cross-functional teams
Preferred:
• Knowledge of deep learning frameworks
• Familiarity with cloud platforms
• Experience with A/B testing
• Proficiency in natural language processing
• Understanding of time-series analysis
• Expertise in optimization algorithms
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.
About Cymertek
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Owings Mills, MD, US
Year founded
2010