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Data Scientist Forecasting Jobs (NOW HIRING)

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have ... Shipping cost forecasting * Gas network disruption analysis * Create data visualizations for both ...

Penske

Data Scientist

Reading, PA

Design, test, validate, and refine predictive, forecasting, optimization, and machine learning ... Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and ...

Stem, Inc.

By joining our team, you will be collaborating with data scientists, energy experts, skilled ... Familiarity with time-series analysis, forecasting methods, and optimization techniques * Knowledge ...

SRI Tech Solutions

Data Scientist

Grand Rapids, MI · On-site

Data Scientist Location: Grand Rapids, MI (onsite) Full Time/ Contract We are seeking a Data ... This role focuses on demand forecasting, inventory optimization, replenishment planning, predictive ...

New

Penske

Data Scientist

Reading, PA · On-site

... data science solutions that support fleet planning, vehicle acquisition, replacement planning ... forecasting, optimization, and process improvement analysis. This role requires strong business ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh ... time series forecasting and Natural Language Processing (NLP) to build, train, and maintain ...

Penske

Data Scientist

Reading, PA

Design, test, validate, and refine predictive, forecasting, optimization, and machine learning ... Stay current on data science, analytics, automation, transportation, logistics, fleet planning, and ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh ... time series forecasting and Natural Language Processing (NLP) to build, train, and maintain ...

Ikigai Labs

Data Scientist

Cambridge, MA · On-site

This Data Scientist will help customers unlock the value of their data-building pipelines ... Develop forecasting and analytics workflows to extend client use cases beyond data prep. * Support ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh ... time series forecasting and Natural Language Processing (NLP) to build, train, and maintain ...

Elder Research

Data Scientist

Raleigh, NC · On-site

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh ... time series forecasting and Natural Language Processing (NLP) to build, train, and maintain ...

Teleflora

Data Scientist, Modeler

Los Angeles, CA · On-site +1

We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics ...

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Data Scientist Forecasting information

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$37.5K

$122.7K

$196.5K

How much do data scientist forecasting jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data scientist forecasting in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Scientist Forecasting position, and why are they important?

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What is a Data Scientist Forecasting job?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a Data Scientist focused on forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

More about Data Scientist Forecasting jobs
What cities are hiring for Data Scientist Forecasting jobs? Cities with the most Data Scientist Forecasting job openings:
What are the most commonly searched types of Data Scientist Forecasting jobs? The most popular types of Data Scientist Forecasting jobs are:
What states have the most Data Scientist Forecasting jobs? States with the most job openings for Data Scientist Forecasting jobs include:
What job categories do people searching Data Scientist Forecasting jobs look for? The top searched job categories for Data Scientist Forecasting jobs are:
Data Scientist Forecasting jobs near you
Infographic showing various Data Scientist Forecasting job openings in the United States as of June 2026, with employment types broken down into 31% Full Time, 55% Part Time, 2% Temporary, 11% Contract, and 1% Nights. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Beth Page tech

Houston, TX • On-site

Contractor

Posted 26 days ago

Job description

Job Title: Data Scientist

Location: Houston, TX (Fulltime)

Environment: Standard, 5-days onsite

Job Description :

Must-Have (Technical Expertise & Core Responsibilities)

  • Data Science & Machine Learning:
    • Strong foundation in mathematics, statistics, and machine learning
    • Experience with exploring and extracting insights from multi-dimensional datasets
    • Proficiency in Python (clean, modular, well-documented code)
    • Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar)
  • Domain Knowledge:
    • Ability to understand commodity trading/energy sector datasets and business needs
    • Experience translating complex models into actionable commercial insights

Core Responsibilities:

  • Develop and implement machine learning models to transform energy trading operations
  • Lead Proof of Concept (PoC) projects including:
    • Automated information extraction from unstructured data
    • Refinery outage prediction
    • Shipping cost forecasting
    • Gas network disruption analysis
  • Create data visualizations for both technical and non-technical stakeholders
  • Collaborate with domain experts to design user-friendly ML solutions
  • Work with Data Science and IT teams to leverage existing tools for business value

Qualifications & Skills:

  • Master's/PhD in Computer Science, Data Science, or equivalent experience
  • 4-7 years of industry experience working with real-world datasets
  • Experience with Agile Scrum development methodology
  • C# development experience (plus)

Nice-to-Have (Preferred Experience):

  • Background in commodity trading, energy markets, or financial services
  • Experience with big data technologies and cloud platforms
  • Knowledge of optimization techniques for business applications