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Data Scientist Forecasting Weekend 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 ...

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 ...

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 ...

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 ...

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 · 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 ...

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 ...

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Showing results 21-40

All Jobsweekend JobsData Scientist Forecasting Weekend Jobs

Data Scientist Forecasting Weekend information

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$37.5K

$122.7K

$196.5K

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

As of Aug 21, 2026, the average yearly pay for data scientist forecasting weekend 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 weekend?

Data Scientist Forecasting Weekend roles involve using statistical methods and machine learning techniques to predict trends, demands, or behaviors specifically for weekend periods. These professionals analyze large datasets to identify patterns that occur on weekends, such as sales fluctuations, customer activity, or resource needs. Their insights help businesses optimize staffing, inventory, and operations for better efficiency and profitability during weekends. Typically, they work with tools like Python, R, SQL, and specialized forecasting software. The role may require working weekends or providing analyses that inform weekend business strategies.

What are some common challenges data scientists specializing in forecasting face when working weekend shifts?

Data Scientists focused on forecasting during weekend shifts often encounter unique challenges such as limited access to key stakeholders for immediate clarifications, handling real-time data anomalies without full team support, and ensuring that time-sensitive predictions are delivered accurately under tight deadlines. Additionally, maintaining effective communication with cross-functional teams who may not be working at the same time can require proactive planning and thorough documentation. However, weekend shifts may also offer quieter work periods for deep analysis and model refinement, allowing for focused progress on complex forecasting tasks.

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting on weekends, and why are they important?

To thrive as a Data Scientist in Forecasting, you need expertise in statistical modeling, time series analysis, and a strong background in mathematics or computer science, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as scikit-learn or TensorFlow), and proficiency in data visualization tools are crucial. Analytical thinking, problem-solving, and effective communication are important soft skills to interpret data and present actionable insights to stakeholders. These skills ensure accurate predictions, drive data-driven decisions, and support organizational goals in dynamic business environments.

What is the difference between Data Scientist Forecasting Weekend vs Data Analyst Forecasting Weekend?

AspectData Scientist Forecasting WeekendData Analyst Forecasting Weekend
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; focus on data interpretation and reporting
Work EnvironmentCollaborative teams, often in tech or finance industries, working on predictive modelsBusiness units, focusing on data reporting, visualization, and basic analysis
Employer & Industry UsageTech companies, finance, e-commerce, and consulting firmsRetail, marketing, healthcare, and finance sectors

Data Scientist Forecasting Weekend roles typically require advanced statistical and machine learning skills, working on predictive models. Data Analyst Forecasting Weekend positions focus on data interpretation, reporting, and visualization. Both roles involve forecasting but differ in complexity and technical depth.

What cities are hiring for Data Scientist Forecasting Weekend jobs?

Cities with the most Data Scientist Forecasting Weekend job openings:

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

The most popular types of Data Scientist Forecasting jobs are:

What states have the most Data Scientist Forecasting Weekend jobs?

States with the most job openings for Data Scientist Forecasting Weekend jobs include:

Data Scientist Forecasting Weekend jobs near you

Data Scientist (forecasting & optimization) Consultant

Teambuilder

Manhattan, NY • Remote

Other

Re-posted 22 days ago

Job description


TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform
healthcare with our innovative technology. We believe in empowering our customers through
inventive solutions and a commitment to excellence. Our young, rapidly growing team is
looking for passionate professionals who thrive in a dynamic, innovative, and collaborative
environment.
***This role is FULLY REMOTE, though you MUST reside within the United States and be legally
authorized to work in the United States.
Key Values of all TeamBuilders
 Flexibility – Adapt how we work to meet team and customer needs.
 Accountability – We own commitments and results, and follow through as a team
 Clarity – Communicate expectations, priorities, and decisions clearly.
 Transparency – Share decisions, feedback, and context openly and honestly.
The Role
TeamBuilder builds software for ambulatory healthcare operations. The problem is simple:
turn messy healthcare data into actions.
This role sits between data, forecasting models, and optimization. You own forecasts end to
end and work directly with the optimization layer. Shape inputs, validate outputs, and turn
results into something operators can use.
What You’ll Do
 Forecasting model ownership
o Build and iterate production grade demand and volume forecasts
o Evaluate models with backtesting and real-world performance
o Maintain stability with retraining, drift monitoring, and failure handling
o Improve models based on operational outcomes
 Sit at intersection of data and optimization
o Define input data contracts for optimization models including capacity,
constraints, and demand
o Transform raw data into model-ready features and constraints
o Validate solver outputs and identify infeasibility, constraint conflicts, and scaling
issues
o Trace issues back to data assumptions and constraint design
o Convert outputs into usable schedules and recommendations
 Model + system validation
o Compare model output to operational reality and explain gaps
o Run scenario analyses under different constraints
o Improve pipelines that support forecasting and optimization quality
o Test assumptions against real-world variation
 Communication / translation
o Explain models and outputs to non-technical users including operators and
clients
o Translate tradeoffs between accuracy, feasibility, and constraints
o Deliver clear recommendations tied to business outcomes
o Participate in client conversations and defend model behavior
What We’re Looking For
Qualifications
 5+ years in data science or applied analytics
 Experience owning forecasting models in production
 Strong Python and SQL, comfortable with large datasets
 Experience working with messy data
 Ability to explain technical work clearly to non-technical users
Preferred Skills
 Experience in healthcare or complex operational environments such as staffing or
capacity planning
 Experience with capacity-constrained systems
 Familiarity with solvers such as Gurobi
Why You’ll Love Working Here
 Mission-driven team tackling real healthcare challenges.
 Freedom to experiment and innovate without layers of bureaucracy.
 Opportunity to shape the company’s data science culture and R&D direction.
 Flexible work environment and supportive, intellectually curious teammates.
Additional Information
 Job Type: Contracted, PT/FT, Remote
 Compensation: Hourly, potential to go Full-Time, Perm.potential for an annual performance bonus, and/or equity.
 Culture: We foster a collaborative, engaging, mission-driven culture that values
innovation and prioritizes customer success.

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