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Data Scientist Forecasting Afternoon Jobs (NOW HIRING)

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 ...

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 ...

loomis

Data Scientist

Suwanee, GA

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

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

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

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

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 ...

Sidram Technologies

Data Scientist

Juno Beach, FL · On-site

Onsite - 5 Days / Week - Juno Beach Florida JD:- Principal Data Scientist - Load & Renewable Generation Forecasting Position Specific Description The IT Forecasting team is seeking a Principal Data ...

Vantage Data Centers

Data Scientist, NA

Denver, CO

This role develops, operationalizes, and scales analytical models that improve forecasting accuracy ... The Data Scientist partners closely with Operations, Engineering, Capacity Planning, Finance ...

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 ...

Vantage Data Centers

Data Scientist, NA

Denver, CO · On-site

This role develops, operationalizes, and scales analytical models that improve forecasting accuracy ... The Data Scientist partners closely with Operations, Engineering, Capacity Planning, Finance ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

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Showing results 21-40

All Jobsafternoon JobsData Scientist Forecasting Afternoon Jobs

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 (FORECASTED)

Columbia Technology Partners

Annapolis Junction, MD • On-site

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

**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 that transform complex datasets into actionable insights. The ideal candidate will leverage statistical analysis, machine learning, data mining, and visualization techniques to support mission objectives while collaborating with subject matter experts, engineers, and stakeholders to automate analytical workflows and deliver production-ready analytic capabilities.

Key Responsibilities - Level 1:

  • Develop machine learning, statistical, graph-based, and heuristic algorithms to analyze complex datasets.
  • Produce data visualizations that provide insight into data structure, trends, and operational relevance.
  • Collaborate with Subject Matter Experts (SMEs) to identify valuable information within raw data sources and develop extraction methodologies.
  • Transform customer objectives and analytical processes into quantitative models and software-based solutions.
  • Develop descriptive, predictive, and prescriptive analytics to support decision-making and mission outcomes.
  • Design and execute statistical tests to support data-driven recommendations and conclusions.
  • Create feature vectors and datasets suitable for analytics development, testing, and model training.
  • Generate reports, visualizations, and presentations that communicate findings and recommendations to stakeholders.
  • Partner with software engineers and technical teams to integrate analytical capabilities into operational workflows.
  • Implement prototype analytics and machine learning models within production environments.

Additional Responsibilities - Level 2:

In addition to the responsibilities above, Level 2 candidates will:

  • Develop experiments and modeling approaches to generate or simulate training data when operational datasets are unavailable.
  • Identify, evaluate, and select appropriate machine learning algorithms for specific datasets and mission requirements.
  • Tune models and optimize performance using established validation techniques and performance metrics.
  • Evaluate analytic approaches and provide recommendations throughout the analytics development lifecycle.
  • Design analytics that scale effectively across large datasets and distributed environments.
  • Develop and train machine learning systems supporting automation and advanced mission capabilities.
  • Apply advanced validation techniques including cross-validation, ROC analysis, confusion matrices, and other performance assessment methodologies.

Qualifications:

  • Bachelor's degree in Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related discipline from an accredited college or university.

  • A Master's degree in a related discipline may be substituted for two (2) years of relevant analytics experience and one (1) year of programming experience.

  • A PhD in a related discipline may be substituted for four (4) years of relevant analytics experience for Level 2 candidates.

  • Four (4) additional years of relevant experience may be substituted in lieu of a bachelor's degree.

  • Level 1: Four (4) years of experience analyzing datasets and developing analytics, plus two (2) years of experience programming with data analysis tools such as Python, R, SAS, or MATLAB.

  • Level 2: Eight (8) years of experience analyzing datasets and developing analytics, plus five (5) years of experience programming with data analysis tools such as Python, R, SAS, or MATLAB.

Preferred Qualifications:

  • Experience with machine learning, artificial intelligence, natural language processing, or graph analytics.
  • Experience working with large-scale structured and unstructured datasets.
  • Proficiency in Python, R, SAS, MATLAB, or other data science and statistical analysis tools.
  • Experience with SQL, data warehousing, and data engineering concepts.
  • Experience developing data visualizations and dashboards using modern analytics platforms.
  • Experience collaborating with software engineers to transition analytics from prototype to production.
  • Familiarity with cloud-based analytics, distributed computing, and big data environments.

Requirements:

  • U.S. Citizenship is required for all applicants. CTP is an equal opportunity employer and abides by applicable employment laws and regulations. All applicants and employees are subject to random drug testing in accordance with Executive Order 12564. Employment is contingent upon successful completion of a security background investigation and polygraph.
  • Certification Requirements:
    • DOD 8570 Certification

This position requires an active Security Clearance with appropriate Polygraph.

About us:

Founded in 2007, Columbia Technology Partners is a Service-Disabled Veteran Owned Small Business with a specialization in technology and management consulting committed to solving intricate and sensitive technology issues facing corporations and federal agencies. Since its inception, CTP has been instrumental in the technical design, engineering development, operational deployment, and support of key systems. With a proven track record in information security, project management, systems/network engineering, security risk management, vulnerability assessments, and mobile security implementation; our employees have the experience, expertise, and innovative thinking our customers need for results that exceed expectations. CTP staff have worked closely with both government engineers and management to gather mission requirements, develop the architecture to deliver the needed functionality and assess tools available to meet or exceed the needs of the mission.

At Columbia Technology Partners (CTP), we are united in being the best that we can be as individuals, but our core belief is that we can be better together. Together we will take on each mission with an execution process that authentically represents who we are. Our success relies on our team values, the foundation we built around them, and the Partners we become along the way.

That's why our pay is competitive, our missions are critical, and our benefits
represent what matters most to CTP: Our People.

Salary Range Transparency

At Columbia Technology Partners we are committed to transparency and fairness in our compensation practices. We believe in creating a work environment where employees feel valued, empowered, and rewarded for their contributions.

How We Determine Salary Ranges

Our salary ranges are based on the following key factors:

  • Job Role and Responsibilities: The specific duties and responsibilities associated with each role form the foundation of our compensation structure.
  • Market Research and Industry Benchmarks: We conduct regular analysis of market trends and salaries across our industry, using reliable compensation data to ensure we stay competitive.
  • Experience and Qualifications: An individual's experience, education, certifications, and specialized skills all contribute to determining their position within a salary range.
  • Location: Salary ranges may be adjusted based on geographic cost of living, in accordance with local and national standards.
  • Company Performance: Our compensation practices also take into account overall company performance and financial health, ensuring that we maintain sustainability while rewarding our team.

Really good benefits, for really GREAT people:

From our CTP Family to yours, we know how important these decisions are. Your benefits are about you, not us. Tell us what you need in order to see a future at CTP; let's get where you're going, together.

Medical: CTP offers 3 superior plans, bringing our employees both in-network and out-of-network options.

Vision + Dental: Both free to you + paid in full by CTP.

Retirement: 401k - 6% company contribution

PTO + Leave: A work life balance is extremely important to our team here at CTP, which is why our paid time off plans are so lucrative. Offering customizable leave plans to meet your needs is just one of our many perks! Jury Duty, Bereavement + Military Leave provided.

Career Growth: Up to $10,000 provided for approved career-related learning, training, education, and/or tuition.

Life and AD&D Insurance/Short-Term & Long-Term Disability: More peace of mind, at zero cost to you.

Profit Sharing Bonus: End of year cash gets added to your bottom-line.

Referral Bonus Program: Our tiered program provides an incentive with each stage of the hiring process your referral passes. Our bonuses range from $7,000-$20,000, if your referral joins the team.

Columbia Technology Partners is an Equal Opportunity Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law. Our EEO policy reflects our commitment to ensure equality and promote diversity and inclusion in the workplace. Our policy applies to all employees, job candidates, contractors, stakeholders, partners, and visitors.

CTP was voted one of the top 25 best places to work in Baltimore by Baltimore Magazine!


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