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Assistant Data Scientist Forecasting Jobs (NOW HIRING)

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

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.) * NLP / LLMs (fine ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.) * NLP / LLMs (fine ...

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... * Assist with prototyping new forecasting methods , such as ensembling models or incorporating ...

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... * Assist with prototyping new forecasting methods , such as ensembling models or incorporating ...

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... * Assist with prototyping new forecasting methods , such as ensembling models or incorporating ...

Data Scientist - Forecasting and Machine Learning Are you passionate about solving complex ... * Assist with prototyping new forecasting methods , such as ensembling models or incorporating ...

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Assistant Data Scientist Forecasting information

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$46K

$165K

$243.5K

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

As of May 31, 2026, the average yearly pay for assistant data scientist forecasting in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Assistant Data Scientist Forecasting, and why are they important?

To thrive as an Assistant Data Scientist Forecasting, you need a solid foundation in statistics, data analysis, and forecasting methods, typically supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with tools like Python, R, SQL, and forecasting libraries (e.g., Prophet, ARIMA), as well as experience with data visualization platforms, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex results and present actionable insights. These competencies are crucial to generate accurate forecasts that guide business decisions and drive organizational success.

What are some typical challenges Assistant Data Scientists face when working on forecasting projects?

Assistant Data Scientists in forecasting often encounter challenges such as handling incomplete or noisy datasets, selecting appropriate modeling techniques, and tuning models for accuracy. They may also need to balance competing priorities between speed and precision, especially when deadlines are tight. Close collaboration with senior data scientists and domain experts is common, as it helps ensure that forecasts are both technically sound and aligned with business goals. Developing strong communication skills is essential for presenting complex findings to non-technical stakeholders.

What does an Assistant Data Scientist in Forecasting do?

An Assistant Data Scientist in Forecasting helps analyze historical data and uses statistical models or machine learning techniques to predict future trends or outcomes. Their tasks often include data cleaning, exploratory analysis, feature engineering, and supporting the development and validation of forecasting models. They work under the guidance of more experienced data scientists and may also help communicate results to stakeholders. This role is essential for businesses looking to make data-driven decisions about sales, inventory, demand, or other key metrics.

What is the difference between Assistant Data Scientist Forecasting vs Data Scientist Forecasting?

AspectAssistant Data Scientist ForecastingData Scientist Forecasting
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles may prefer a master'sMaster's or PhD in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentSupportive team, entry to mid-level projects, supervised tasksIndependent project work, complex analysis, strategic decision-making
Employer & Industry UsageTech companies, finance, retail, healthcare; entry to mid-level rolesResearch institutions, large corporations, specialized analytics teams

The Assistant Data Scientist Forecasting role typically involves supporting forecasting projects under supervision, focusing on data preparation and basic modeling. In contrast, a Data Scientist Forecasting leads complex forecasting models, interprets results, and influences strategic decisions. The roles differ mainly in experience level, scope of responsibilities, and independence.

What cities are hiring for Assistant Data Scientist Forecasting jobs? Cities with the most Assistant 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 Assistant Data Scientist Forecasting jobs? States with the most job openings for Assistant Data Scientist Forecasting jobs include:
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