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Senior Data Scientist Forecasting Jobs (NOW HIRING)

Join our One Demand Forecasting organization as a Principal Data Scientist, where you'll play a key ... of senior team members. • Integrate additional data sources (e.g., promotions, events ...

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... forecasting, inventory management, and operational optimization; and designing dashboards and data ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... forecasting, inventory management, and operational optimization; and designing dashboards and data ...

NOVACES is seeking a Senior Data Scientist for a U.S. Coast Guard Surface Forces Logistics Center ... forecasting, inventory management, and operational optimization; and designing dashboards and data ...

The Senior Data Scientist will design, develop, and maintain data-driven solutions that support ... forecasting, inventory management, and operational optimization; and designing dashboards and data ...

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... series forecasting. Experience developing algorithms for search engines (e.g., name entity ...

Join our One Demand Forecasting organization as a Principal Data Scientist, where you'll play a key ... of senior team members. • Integrate additional data sources (e.g., promotions, events ...

Join our One Demand Forecasting organization as a Principal Data Scientist, where you'll play a key ... of senior team members. • Integrate additional data sources (e.g., promotions, events ...

Join our One Demand Forecasting organization as a Principal Data Scientist, where you'll play a key ... of senior team members. • Integrate additional data sources (e.g., promotions, events ...

The Senior Data Scientist will serve as a subject matter expert and strategic partner to business ... Design and implement machine learning and AI solutions, including predictive models, forecasting ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

... readiness forecasting, and mission-critical insights for Navy enterprise systems.Key ... professional experience in data science and leadership or senior technical roleSecurity ...

Senior Data Scientist (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote ... Hands-on experience with time series forecasting models including SARIMA, Prophet, and other ML ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

... readiness forecasting, and mission-critical insights for Navy enterprise systems. Key ... in data science and leadership or senior technical role * Security+ Certification * Proven ...

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Senior Data Scientist Forecasting information

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$41.5K

$142.5K

$201K

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

As of Sep 11, 2026, the average yearly pay for senior data scientist forecasting in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior data scientist forecasting do?

A Senior Data Scientist specializing in Forecasting is responsible for developing advanced models to predict future trends, demands, or behaviors based on historical data. They use statistical, machine learning, and time series methods to generate accurate forecasts that help organizations make data-driven decisions. In addition to building models, they also interpret results, communicate findings to stakeholders, and mentor junior team members. Their work is crucial for industries like retail, finance, and supply chain where anticipating future outcomes impacts strategic planning.

What are the key skills and qualifications needed to thrive as a senior data scientist forecasting?

To thrive as a Senior Data Scientist Forecasting, you need advanced statistical modeling expertise, strong programming skills in languages such as Python or R, and a degree in a quantitative field. Experience with machine learning frameworks, time series forecasting tools (like Prophet, ARIMA, or TensorFlow), and data visualization platforms is typically required. Exceptional problem-solving ability, business acumen, and clear communication help translate complex analyses into actionable insights for stakeholders. These skills are crucial for generating accurate forecasts that drive strategic decisions and add measurable value to the organization.

How does a senior data scientist forecasting typically collaborate with cross-functional teams to improve predictive models?

As a Senior Data Scientist in forecasting, you'll regularly engage with cross-functional teams such as product management, engineering, and business stakeholders to understand forecasting needs and key metrics. You'll translate business objectives into technical requirements, share insights from model outputs, and work closely with data engineers to ensure data quality and pipeline efficiency. This collaboration helps refine predictive models, address real-world constraints, and ensure the forecasting solutions are actionable and aligned with business goals. Open communication and iterative feedback are crucial for driving impactful results and continuous model improvement.

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

AspectSenior Data Scientist ForecastingData Scientist
Required CredentialsMaster's or PhD in Data Science, Statistics, or related field; experience in forecasting modelsBachelor's or Master's in relevant field; foundational data analysis skills
Work EnvironmentFocus on time series, predictive modeling, and forecasting projects within finance, retail, or supply chainBroader data analysis tasks across various domains, including descriptive analytics and data visualization
Employer & Industry UsageCommon in finance, retail, and logistics companies emphasizing demand and sales forecastingUsed across industries for general data analysis, reporting, and insights generation

The main difference between a Senior Data Scientist Forecasting and a Data Scientist lies in specialization and experience. The forecasting role requires expertise in predictive time series models and industry-specific forecasting applications, often at a senior level. In contrast, a Data Scientist typically handles a wider range of data analysis tasks with less focus on forecasting, making the senior forecasting role more specialized and advanced.

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Infographic showing various Senior Data Scientist Forecasting job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Senior Data Scientist

South San Francisco, CA • On-site

Dawar Consulting
IT Services • 11 - 50 employees

Other

Medical, Retirement

Posted 12 days ago


Job description

Senior Data Scientist

South San Francisco, United States | Posted on 08/26/2026

Our client, a world leader in biotechnology and life sciences, is looking for a “Senior Data Scientist”.

Job Duration: Long-Term Contract (Possibility Of Extension)

Company Benefits: Medical, Paid Sick Leave, 401 (k)

Seeking aSenior Data Scientistto develop, deploy, and industrialize machine learning solutions using structured and unstructured data across Commercial and Medical domains. This role will partner with business and technical teams to translate complex challenges into impactful, data-driven solutions while ensuring strong data quality, governance, model validation, and regulatory compliance.

Required Skills & Qualifications
  • Bachelor's degree inStatistics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of experiencein Data Science or related roles.
  • Strong proficiency inPython and/or R.
  • StrongSQLskills.
  • Expertise inMachine Learning and Deep Learningtechniques, including classification, regression, and forecasting.
  • Experience developingend-to-end ML solutions, from concept and prototyping through production deployment and monitoring.
  • Experience with cloud platforms such asAWS or GCP.
  • Strong understanding ofMLOps, including CI/CD, model versioning, performance monitoring, scalability, and reliability.
  • Experience collaborating withData Science Product Owners, Data Leads, ML Engineers, and MLOps teams.
  • Commitment todata ethics, governance, model validation, and regulatory compliance.
Preferred Skills
  • Healthcare or pharmaceutical industry experience.
  • Experience withTensorFlow or PyTorch.
  • Hadoop, Spark, or other big-data platforms.
  • Predictive modeling, text classification, clustering, ROI analysis, and insight generation.
  • Data visualization tools such asTableau, Qlik, or Data Studio.
  • Publications, open-source contributions, or relevantData Science/ML/AI certifications.
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