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Data Scientist Forecasting Seasonal Jobs (NOW HIRING)

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.

Omnidian

Senior Data Scientist

Strong hands-on experience with time-series methods: anomaly detection, forecasting, seasonal ... Experience mentoring data scientists or engineers and raising team standards * Experience with ...

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... Monitor and improve forecasting model accuracy, adapting to changing market conditions ...

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109K - $150K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... Monitor and improve forecasting model accuracy, adapting to changing market conditions ...

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

As of Jul 27, 2026, the average yearly pay for data scientist forecasting seasonal 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 Data Scientist Forecasting Seasonal jobs?

Data Scientist Forecasting Seasonal jobs involve analyzing historical data to predict trends and patterns that occur at regular intervals, such as seasons or holidays. These professionals use statistical models, machine learning algorithms, and time series analysis to forecast demand, sales, or other key business metrics. Their insights help organizations plan inventory, staffing, marketing campaigns, and more, especially during periods with predictable fluctuations. Seasonal data scientists often work in industries like retail, agriculture, and tourism, where anticipating seasonal changes is crucial for success.

What are the key skills and qualifications needed to thrive as a Data Scientist specializing in Forecasting Seasonal trends, and why are they important?

To thrive as a Data Scientist specializing in Forecasting Seasonal trends, you need a strong background in statistics, time series analysis, and experience with programming languages like Python or R, often supported by a degree in data science, statistics, or a related field. Familiarity with forecasting tools and libraries such as Prophet, ARIMA, or scikit-learn, and proficiency in data visualization platforms like Tableau or Power BI, are typically required. Analytical thinking, attention to detail, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are essential for accurately predicting seasonal patterns, driving informed decision-making, and delivering business value.

What are some common challenges data scientists face when forecasting seasonal trends, and how can they be addressed?

Data scientists working on forecasting seasonal trends often encounter challenges such as handling irregular seasonality, managing missing or incomplete data, and accounting for sudden market changes. Overcoming these issues typically involves selecting the right time series models, such as SARIMA or Prophet, that explicitly handle seasonality. Collaborating closely with domain experts and cross-functional teams helps contextualize data anomalies and validate model outputs. Additionally, maintaining robust data pipelines and regularly updating models ensures forecasts remain accurate as new patterns emerge.
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Data Scientist Forecasting Seasonal jobs near you
Senior Data Scientist - Forecasting

Senior Data Scientist - Forecasting

Tiger Analytics Inc.

Remote

Full-time

Posted 21 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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