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Data Scientist Forecasting Afternoon Jobs (NOW HIRING)

Nestle

Sr. Data Scientist (Forecasting)

Arlington, VA

$110K - $160K/yr

... Data Scientist supporting Nestle USA Digital, where you'll partner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestle USA plans and ...

CVS Health

Senior Data Scientist - Forecasting

$101K - $203K/yr

Build and extend the demand forecasting foundation behind CVS Retail's Unified Forecasting Platform ... Experience working with a data engineering/MLOpsteam to productionize data science models ...

Veho Tech, Inc.

Staff Data Scientist - Forecasting

$185K - $220K/yr

As a Staff Data Scientist for Forecasting, you will be the technical leader responsible for building and owning the sophisticated models that power Veho's Sales and Operations Planning (S&OP) process.

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Data Scientist Forecasting Afternoon information

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$46K

$165K

$243.5K

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

As of Sep 2, 2026, the average yearly pay for data scientist forecasting afternoon 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 is the difference between Data Scientist Forecasting Afternoon vs Data Analyst Forecasting Afternoon?

AspectData Scientist Forecasting AfternoonData Analyst Forecasting Afternoon
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some experience in machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentAdvanced analytics teams, often in tech or finance industries, focusing on predictive modelingBusiness units, focusing on reporting, data visualization, and descriptive analysis
Employer & Industry UsageTech companies, finance, e-commerce, and consulting firmsRetail, healthcare, finance, and marketing sectors

While both roles involve forecasting, Data Scientist Forecasting Afternoon typically requires advanced statistical and machine learning skills to develop predictive models, whereas Data Analyst Forecasting Afternoon focuses on analyzing historical data and creating reports. The Data Scientist role is more technical and model-driven, while the Data Analyst role emphasizes data interpretation and visualization.

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Data Scientist Forecasting Afternoon jobs near you
Infographic showing various Data Scientist Forecasting Afternoon job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Portland, OR

Full-time

Re-posted 29 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a Senior Data Scientist - Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.

You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.

Key Responsibilities

  • Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
  • Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
  • Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
  • Perform large-scale data extraction, transformation, and analysis using SQL
  • Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
  • Translate business problems into analytical solutions.
  • Present model insights and recommendations to senior client stakeholders.
  • Lead workshops and forecasting strategy discussions with clients.
  • Implement and operationalize models in cloud environments
  • Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions

Requirements

    • 10+ years of experience in applied data science or advanced analytics
    • 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
    • Strong domain experience in CPG, FMCG, retail, or similar industries
    • Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
    • Strong SQL skills for large-scale data processing
    • Proven experience deploying models in cloud environments (Azure preferred)

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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