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Data Scientist Forecasting Seasonal Jobs (NOW HIRING)

Analytica

Data Scientist

Bethesda, MD · On-site

$120 - $180/hr

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 ...

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 ...

Cognizant

Data Scientist - Demand Forecasting

Plano, TX · On-site

$115 - $130/hr

About the role As a Data Scientist - Demand Forecasting , you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning ...

Columbia Technology Partners

$120 - $180/hr

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 ...

Robotics Technologies LLC

Data Scientist

Nashville, TN · On-site

$100 - $130/hr

Key Responsibilities Model Development & Forecasting * Build, train, and deploy time‑series ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a ...

Lorven Technologies

Data Scientist

Tampa, FL · On-site

Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

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 ...

Lorven technologies

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on ...

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 ...

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Data Scientist Forecasting Seasonal information

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

As of Aug 16, 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 is a data scientist forecasting seasonal?

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 forecasting seasonal?

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.

What cities are hiring for Data Scientist Forecasting Seasonal jobs?

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What are the most commonly searched types of Data Scientist Forecasting jobs?

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Data Scientist Forecasting Seasonal jobs near you

Senior Data Scientist, Forecasting and Analytics

McAfee

Frisco, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Role Summary
We are seeking a technically strong and business-oriented Senior Data Scientist to own our forecasting and planning initiatives. With a focus on forecasting as it relates to planning and marketing analytics; this role will turn complex data into actionable insights that improve acquisition, retention, customer experience and business planning value.
The ideal candidate is highly proficient in time series and machine learning forecasting methods and equally strong at translating analytical findings into clear, engaging recommendations for business stakeholders and executives. This person should be able to work independently, frame ambiguous problems, build reliable models, and influence decisions through data-driven storytelling.
This is a hybrid role located within one of our hub locations i.e. Dallas, TX, New York, NY, San Jose, CA or Newport Beach, CA. Your will be required to come into an office on an as needed basis and work from your home office the rest of the time.
Position Details
About the role:
Forecasting & Planning
  • Ownership and maintenance of forecasting models for key marketing and business outcomes, including revenue, demand, conversion, retention, and customer value.
  • Support planning cycles by translating historical trends, seasonality, campaign activity, customer behavior, macro factors, and business assumptions into clear forecasts and scenarios.
  • Develop planning tools, models, and readouts that help stakeholders and executives understand expected performance, pacing, and business tradeoffs.
  • Monitor forecast accuracy, diagnose variance versus plan, and recommend adjustments based on changing business conditions.

Advanced Analytics & Machine Learning
  • Develop and validate data science models that support customer behavior analysis, segmentation, propensity modeling, churn/retention analysis, personalization, and lifetime value.
  • Build analytical frameworks that help stakeholders understand customer needs, behavior drivers, performance trends, and areas for improvement.

Marketing Insights & Stakeholder Storytelling
  • Partner with Marketing, Finance, Product, Analytics, and Data Engineering teams to define business questions, analytical approaches, data requirements, and success metrics.
  • Translate complex model outputs into clear recommendations that help stakeholders understand what happened, why it happened, and what actions to take.
  • Communicate insights through compelling presentations, dashboards, and executive-ready readouts tailored to executive and other potentially non-technical audiences.
  • Proactively identify insights, risks, and opportunities in the data rather than waiting for narrowly defined requests.

About you:
  • 7+ yrs experience applying data science, machine learning, forecasting and/or other advanced analytics in a business environment.
  • Strong proficiency in Python, SQL, and common data science or statistical modeling libraries.
  • Strong working knowledge of time-series analysis, forecasting, seasonality, trend, lag effects, scenario planning, and model backtesting.
  • Experience with marketing analytics, customer analytics, campaign performance, acquisition, retention, conversion, or lifetime value analysis.
  • Ability to translate ambiguous business questions into structured analytical plans and actionable recommendations.
  • Strong communication and data storytelling skills, with the ability to influence marketing and business stakeholders.

Preferred Qualifications
  • Master's degree or PhD in a quantitative discipline.
  • Experience with customer lifecycle analytics, journey analytics, subscription analytics, ecommerce, SaaS, or consumer digital businesses.
  • Familiarity with experimentation, causal inference, uplift modeling, survival analysis, Bayesian modeling, or personalization methods.
  • Experience working with large-scale customer, behavioral, clickstream, campaign, planning, or transaction-level datasets.
  • Experience using cloud data platforms such as Databricks, Snowflake, BigQuery, or similar environments.
  • Experience creating executive-ready presentations that connect analytical findings to business strategy and operational decisions.

#LI-Hybrid
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.
Company Benefits and Perks
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.:
  • Bonus Program
  • 401k Retirement
  • Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
  • Paid Parental Leave
  • Support and Community Involvement
  • 14 Paid Company Holidays
  • Unlimited Paid Time Off for Exempt Employees
  • 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Pay Range
The anticipated compensation for this position is USD $107,430.00/Yr. - USD $176,490.00/Yr. depending on experience and qualifications.
Job Applicant Privacy Notice
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.

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