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Data Scientist Forecasting Weekend 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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All JobsData Scientist Forecasting Weekend Jobs

Data Scientist Forecasting Weekend information

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$37.5K

$122.7K

$196.5K

How much do data scientist forecasting weekend jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data scientist forecasting weekend 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 as a Data Scientist specializing in Forecasting on weekends, and why are they important?

To thrive as a Data Scientist in Forecasting, you need expertise in statistical modeling, time series analysis, and a strong background in mathematics or computer science, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as scikit-learn or TensorFlow), and proficiency in data visualization tools are crucial. Analytical thinking, problem-solving, and effective communication are important soft skills to interpret data and present actionable insights to stakeholders. These skills ensure accurate predictions, drive data-driven decisions, and support organizational goals in dynamic business environments.

What are some common challenges Data Scientists specializing in forecasting face when working weekend shifts?

Data Scientists focused on forecasting during weekend shifts often encounter unique challenges such as limited access to key stakeholders for immediate clarifications, handling real-time data anomalies without full team support, and ensuring that time-sensitive predictions are delivered accurately under tight deadlines. Additionally, maintaining effective communication with cross-functional teams who may not be working at the same time can require proactive planning and thorough documentation. However, weekend shifts may also offer quieter work periods for deep analysis and model refinement, allowing for focused progress on complex forecasting tasks.

What is the difference between Data Scientist Forecasting Weekend vs Data Analyst Forecasting Weekend?

AspectData Scientist Forecasting WeekendData Analyst Forecasting Weekend
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; focus on data interpretation and reporting
Work EnvironmentCollaborative teams, often in tech or finance industries, working on predictive modelsBusiness units, focusing on data reporting, visualization, and basic analysis
Employer & Industry UsageTech companies, finance, e-commerce, and consulting firmsRetail, marketing, healthcare, and finance sectors

Data Scientist Forecasting Weekend roles typically require advanced statistical and machine learning skills, working on predictive models. Data Analyst Forecasting Weekend positions focus on data interpretation, reporting, and visualization. Both roles involve forecasting but differ in complexity and technical depth.

What are Data Scientist Forecasting Weekend roles?

Data Scientist Forecasting Weekend roles involve using statistical methods and machine learning techniques to predict trends, demands, or behaviors specifically for weekend periods. These professionals analyze large datasets to identify patterns that occur on weekends, such as sales fluctuations, customer activity, or resource needs. Their insights help businesses optimize staffing, inventory, and operations for better efficiency and profitability during weekends. Typically, they work with tools like Python, R, SQL, and specialized forecasting software. The role may require working weekends or providing analyses that inform weekend business strategies.
What cities are hiring for Data Scientist Forecasting Weekend jobs? Cities with the most Data Scientist Forecasting Weekend 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 Weekend jobs? States with the most job openings for Data Scientist Forecasting Weekend jobs include:
Data Scientist Forecasting Weekend jobs near you

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