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Data Scientist Forecasting Jobs (NOW HIRING)

Analytica

Data Scientist

Bethesda, MD · On-site

Mentor junior analysts and data scientists in best practices for data science, forecasting, and ... statistical modeling. Requirements * Bachelor's degree in Data Science, Statistics, Applied ...

Columbia Technology Partners

This Position is Contingent on Contract Award Description Columbia Technology Partners is seeking Data Scientists to develop advanced analytics, machine learning models, and data‑driven solutions ...

Omada Health

Staff Forecasting Data Scientist

Omada Health is looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability. This role will build and scale forecasting ...

Stock Group Analytics

Data Scientist

Washington, DC · On-site

Perform statistical analysis and trend forecasting on historical data * Develop machine learning ... Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related ...

Stock Group Analytics

Perform statistical analysis and trend forecasting on historical data * Develop machine learning ... Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... This role will lead complex forecasting initiatives, develop AI-driven use cases (including LLM ...

Dynata

Dynata is seeking a Senior Lead Data Scientist for Graph & Forecasting to lead the development of predictive intelligence capabilities that power key operational, commercial, and product decisions ...

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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 Sep 10, 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 is a data scientist forecasting?

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 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.

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.

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Data Scientist Forecasting jobs near you
Infographic showing various Data Scientist Forecasting job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Bethesda, MD • On-site

Analytica
51 - 200 employees
Learn more about Analyticaexternal

Other

Re-posted 6 days ago

Job description

Responsibilities
  • Lead the development, validation, and deployment of predictive models, including time series forecasting, anomaly detection, and simulation models, to address USCIS mission and operational challenges.
  • Prepare, transform, and analyze large and complex datasets using SQL and Python in a Databricks environment.
  • Perform exploratory data analysis, feature engineering, and model optimization to ensure high-quality, repeatable, and interpretable results.
  • Design and deliver advanced dashboards and visualizations to communicate insights, forecasts, and scenarios to technical and non-technical stakeholders.
  • Apply advanced statistical and machine learning techniques to identify patterns, measure operational performance, and anticipate future trends.
  • Partner with program managers, analysts, and client stakeholders to frame research questions, design analytic studies, and present findings in a clear, actionable manner.
  • Document methodologies, ensure reproducibility of analyses, and contribute to analytic best practices across the team.
  • Mentor junior analysts and data scientists in best practices for data science, forecasting, and statistical modeling.
Requirements
  • Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field (Master’s degree strongly preferred).
  • 5+ years of professional experience in data science or advanced analytics, with proven expertise in statistical modeling and forecasting.
  • Advanced proficiency in SQL and Python, with hands‑on experience building and deploying time series and forecasting models (e.g., ARIMA, SARIMAX, Prophet, machine learning‑based forecasting methods).
  • Experience with cloud‑based platforms such as Databricks, Spark, or similar distributed data environments.
  • Strong data visualization skills with Tableau, Power BI, or equivalent.
  • Demonstrated ability to clean, manage, and optimize large, complex datasets.
  • Strong communication skills with the ability to present technical findings to non‑technical stakeholders.
  • Must be a U.S. Citizen and able to obtain and maintain a Public Trust clearance.
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