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Data Scientist Forecasting Afternoon Jobs (NOW HIRING)

isone

Load Forecasting Data Scientist

Kinston, NC · Hybrid

$117K - $146K/yr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting * Experience building applications that ingest and use data from multiple sources and formats (i.e., data ...

Paladin Consulting

Data Scientist

The Woodlands, TX · On-site

Data Scientist Work Location: The Woodlands Education/Experience Required: Bachelor's degree in ... Perform data analysis, feature engineering, forecasting, and statistical modeling * Create ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ... Build scalable, maintainable data science solutions with clean architecture, disciplined testing ...

SharkNinja

Data Scientist

Needham, MA · On-site

We are seeking a skilled Data Scientist to support our BI & Analytics team supporting Global ... Develop predictive models to forecast demand, inventory levels, and procurement needs. * Use AI ...

Amplify Education, Inc.

Data Scientist

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

SANTEE COOPER

DATA SCIENTIST

Moncks Corner, SC · On-site

$75K - $94K/yr

The Data Scientist leads end-to-end delivery of moderately complex projects (e.g., improved load forecasting, asset health surrogate models, scheduling/dispatch optimizers), owns model quality and ...

neptune technologies

Data Scientist

Duluth, GA

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Analyze large-scale ...

Neptune

Data Scientist

Duluth, GA · On-site

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... forecasting, anomaly detection, leak detection, and predictive maintenance. • Analyze large-scale ...

Sidram Technologies

Data Scientist

Seattle, WA · On-site

Build demand forecasting models leveraging external data signals (weather, events, seasonality ... Science experience with a strong foundation in classical ML * Proficiency in supervised and ...

Teleflora

Data Scientist, Modeler

Paragould, AR · On-site +1

We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics ...

Penske

Data Scientist

Reading, PA · On-site

... data science solutions that support fleet planning, vehicle acquisition, replacement planning ... forecasting, optimization, and process improvement analysis. This role requires strong business ...

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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.

Data Scientist - AI, Analytics & Forecasting

Siemens Energy, Inc.

Orlando, FL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 6 hours ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

117th of 495 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
Data Superhero, Future Forecaster.
Step into the future and help us build it. We've already created the engine. We've programmed the platform. Now we need a data superhero who can bring it to life. Someone who can decode patterns, harness AI, and predict what's next 3 to 10 years before it happens.
This is your chance to shape the future of a cutting-edge go-to-market product transforming parts inventory sales. As the architect of advanced forecasting, you'll turn complex data into clear direction fueling smarter decisions, faster execution, and a more resilient business.
How You'll Make an Impact
50% Advanced Predictive Modeling & Forecasting
  • Build, test, and sharpen advanced models to boost forecast accuracy
  • Apply cutting-edge algorithms to crack tough supply chain challenges
  • Deploy and own models in production-keep them fast, stable, and reliable
  • Partner with IT and engineering to seamlessly integrate models into the business
30% Data Analysis & Digitalization
  • Dig into complex data to uncover trends that drive smarter demand decisions
  • Build sleek dashboards that turn insights into instant clarity
  • Automate data and reporting workflows to boost speed and efficiency across the organization
20% Project Management & Mentorship
  • Own projects end-to-end from idea to measurable impact
  • Be the go-to expert driving data science strategy and best practices
  • Mentor and elevate the team coach, review, and delegate for growth
What You Bring
  • Degree in Data Science, Statistics, Computer Science, Math, or similar quantitative field
  • 0-8+ years' building and deploying predictive models. More years of experience may be considered at a higher level.
  • Strong in data science, ML, forecasting, and coding in Python, R, or similar
  • Translate data into insight with visualization, SQL, and modern BI/data engineering tools (e.g., Power BI or equivalents).
  • Agile, hands-on mindset, streamlining workflows and managing code with Git or similar
  • Able to own complex projects, mentor others, and eligible to work in the U.S. without current or future sponsorship
  • Supply chain or demand planning experience a plus, not a prerequisite
  • Able to manage complex projects and provide mentorship
  • Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards/Benefits
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
#TeamPurple
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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