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Data Scientist Forecasting Weekend Jobs (NOW HIRING)

PangeaTwo

Data Scientist

Homewood, AL · On-site

Data Scientist Data Scientist - Forecasting & Analytics Location: Hybrid | Southeast-Based Organization Compensation: Competitive + Strong Benefits We're partnering with a rapidly growing, multi ...

Intuit

Staff Data Scientist - Forecasting

San Diego, CA

$185.50K - $251K/yr

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

Intuit

Staff Data Scientist - Forecasting

San Diego, CA

$185.50K - $251K/yr

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

Intuit

Staff Data Scientist - Forecasting

San Diego, CA · On-site

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

Intuit

Staff Data Scientist - Forecasting

San Diego, CA · On-site

$185.50K - $251K/yr

... forecasting with increasing scope and impact * Deep expertise in data science, analytics, or applied statistics * Advanced proficiency in SQL, Python, R, and Generative AI tools * Strong experience ...

Walmart

Senior, Data Scientist

Milpitas, CA

$117K - $234K/yr

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Walmart

Senior, Data Scientist

San Jose, CA

$117K - $234K/yr

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Walmart

Senior, Data Scientist

San Bruno, CA

$117K - $234K/yr

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

Walmart

Senior, Data Scientist

Fremont, CA

$117K - $234K/yr

Join our OneDemand Forecasting organization as a Senior Data Scientist, where you'll play a key role in advancing demand forecasting and machine learning solutions. In this impactful position, you ...

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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 May 31, 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 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 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 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
Senior Data Scientist, Forecasting

Senior Data Scientist, Forecasting

Gridware

San Francisco, CA

Full-time

Posted 28 days ago

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description:
As a Senior Data Scientist, you will be directly embedded into Gridware’s operations and analytics team and play a critical role in helping forecast weather based events, staffing of analysts, and gain a deeper understanding of how dynamic Gridware’s operations center can be.
Responsibilities
  • Build and productionize forecasting models to predict weather-driven grid events, hazard incidence, and downstream operational workload.
  • Develop demand forecasts for analyst staffing, incorporating weather signals, seasonality, geographic deployment footprint, and historical event patterns.
  • Quantify relationships between environmental factors (e.g., wind, precipitation, temperature, vegetation conditions) and hazard/event types across service territories.
  • Design end-to-end modeling pipelines, including data ingestion, feature engineering, model validation, deployment, and monitoring.
  • Establish model performance tracking, drift detection, and retraining strategies to ensure reliability in dynamic conditions.
  • Translate model outputs and uncertainty into clear, actionable recommendations for operational leadership.
Required Qualifications
  • 5+ years of experience building and deploying models into production environments
  • Experience with forecasting models
  • Strong programming skills with demonstrated proficiency in Python and SQL
  • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
  • Experience working cross-functionally with operations or business stakeholders
Bonus Qualifications
  • Experience working with weather data
  • Experience with Geospatial tooling (GIS tools, GeoPandas, etc.)
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
“Off the Grid”, a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training