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Part Time Time Series Forecasting Jobs in Park Ridge, NJ

Business Statistics Tutor

Clifton, NJ ยท Remote

$18 - $40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

Business Statistics Tutor

Yonkers, NY ยท Remote

$18 - $40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

Business Statistics Tutor

Paterson, NJ ยท Remote

$18 - $40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

Business Statistics Tutor

Paramus, NJ ยท Remote

$18 - $40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

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Showing results 1-20

Part Time Time Series Forecasting information

See Park Ridge, NJ salary details

$53.8K

$72.8K

$102.5K

How much do part time time series forecasting jobs pay per year?

As of Aug 11, 2026, the average yearly pay for part time time series forecasting in Park Ridge, NJ is $72,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $77,900.00 per year, depending on experience, location, and employer.

What is a part-time time series forecasting job?

A part-time time series forecasting job involves analyzing data that has been collected over time to predict future trends, patterns, or values, but on a part-time basis. Professionals in this role use statistical models and machine learning techniques to forecast data points such as sales, demand, stock prices, or weather. Working part-time means the position typically requires fewer hours per week than a full-time job, making it suitable for those seeking flexibility or balancing other commitments. Tasks may include data collection, model development, validation, and communicating insights to stakeholders. The job often requires proficiency in statistical software and programming languages like Python or R.

What are the key skills and qualifications needed to thrive as a part-time time series forecaster, and why are they important?

To thrive as a Part-Time Time Series Forecaster, you need a strong background in statistics, data analysis, and predictive modeling, typically supported by a degree in mathematics, statistics, or a related field. Proficiency with tools like Python, R, and specialized forecasting libraries (such as Prophet, ARIMA, or TensorFlow) is essential, and experience with data visualization platforms is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills enable clear interpretation and presentation of forecasting results. These skills are crucial for delivering accurate, actionable insights that support data-driven business decisions in a flexible, part-time capacity.

What are some common challenges faced by part-time professionals working in time series forecasting roles?

Part-time time series forecasting professionals often navigate challenges such as managing tight project deadlines with limited working hours and ensuring continuity on long-term data analysis projects. Effective communication with full-time team members is crucial to stay aligned on model updates and data changes. Additionally, staying up-to-date with evolving forecasting techniques and software tools can require proactive time management. However, many organizations support flexible schedules and remote collaboration to help part-time staff integrate smoothly.

What is the difference between Part Time Time Series Forecasting vs Part Time Data Analyst?

AspectPart Time Time Series ForecastingPart Time Data Analyst
Required CredentialsStatistics, data analysis, forecasting toolsStatistics, data analysis, Excel, SQL
Work EnvironmentRemote or flexible, focused on forecasting modelsOffice or remote, broader data analysis tasks
Industry UsageFinance, retail, supply chainMarketing, finance, healthcare
Search & Comparison IntentForecasting, time series modelingData analysis, reporting

Part Time Time Series Forecasting specializes in creating models to predict future data points based on historical data, often requiring expertise in statistical modeling and forecasting tools. In contrast, Part Time Data Analysts handle a broader range of data tasks, including cleaning, analyzing, and visualizing data across various industries. While both roles require analytical skills, Time Series Forecasting is more focused on predictive modeling, whereas Data Analysts focus on interpreting data to inform decisions.

What cities near Park Ridge, NJ are hiring for Part Time Time Series Forecasting jobs? Cities near Park Ridge, NJ with the most Part Time Time Series Forecasting job openings:
Infographic showing various Part Time Time Series Forecasting job openings in Park Ridge, NJ as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $72,833 per year, or $35 per hour.

Trader (OCaml Experience)

Jane Street

New York, NY โ€ข On-site

Part-time

Posted 6 days ago


Job description

Trader
OCaml Experience
Jane Street Group, LLC has multiple openings for the role of Trader in New York, NY.
The position duties are as follows: Work as part of a team to execute the firm's proprietary and bespoke strategies in trading various financial instruments in global markets; monitor trade reports, conduct operational tasks to support live trading activity, and build infrastructure to assist with monitoring and desk operations; and develop new trading strategies and research improvements to existing strategies. Day-to-day job duties include:
  • Continuously update and maintain a proprietary trading system that facilitates trading of financial instruments across global markets;
  • Research and develop new strategies for trading various financial instruments in their respective markets;
  • Trade and price special situations and corporate actions in various global markets;
  • Liaise with global office traders about trading opportunities and their expectancy/risks as pertains to the firm's proprietary valuation and trading methods;
  • Maintain competitive markets and provide real liquidity for financial instruments being traded;
  • Exercise discretion with respect to firm risk limits in all trading situations;
  • Build and maintain complex infrastructure that is crucial to real time pricing and market making of financial instruments being traded;
  • Leverage strong understanding of financial markets, trading strategies and behavior in the relevant markets, and significant knowledge of tools such as Excel, Bloomberg, VBA, UNIX, Bash, Python, OCaml, and PostgreSQL;
  • Train Assistant Traders in Jane Street's trading methodology, technology, infrastructure, operations, and culture; and
  • Interview and recruit new Traders to join Jane Street.

The position requires a 3 or 4 year Bachelor's degree in Mathematics, Physics, Engineering, Computer Science, or a related scientific or quantitative field or foreign equivalent plus one (1) year of experience in any occupation involving direct work with an automated proprietary trading system. Experience must include the following:
  • Applying knowledge of statistics, machine learning, model building, and financial time series analysis to the development of proprietary trading strategies;
  • Developing and maintaining trading systems using software engineering fundamentals in OCaml;
  • Conducting research and performing data analysis and visualization in Python;
  • Learning and building financial asset pricing models for derivatives; and
  • Monitoring and modeling risk across trading portfolios.
  • Series 7, Series 57, and Series SIE licenses required.
  • All technical requirements for this role may be subject to employer conducted testing to assess minimum proficiency.

Part time telecommuting may be permitted with manager approval.
Ref. T26