ZipRecruiter

Log In

1

Data Scientist Forecasting Weekend Jobs in Texas

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have ... Shipping cost forecasting * Gas network disruption analysis * Create data visualizations for both ...

Central Health

Principal Data Scientist

Austin, TX · On-site

$180 - $230/hr

Design, develop, and maintain predictive models and forecasting solutions that directly support ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

CommUnityCare

Principal Data Scientist

Austin, TX · On-site

$180 - $240/hr

Design, develop, and maintain predictive models and forecasting solutions that directly support ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

PepsiCo

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Serve as a core owner of ... Modernize inherited forecasting methodologies and drive best-in-class model design. Develop ...

PepsiCo

Senior Data Scientist

Plano, TX

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Serve as a core owner of ... Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

Develop disease progression models, readmission risk models, utilization forecasting, and other ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

PepsiCo

Senior Data Scientist

Plano, TX

$93K - $156K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Serve as a core owner of ... Modernize inherited forecasting methodologies and drive bestinclass model design. Develop, enhance ...

Central Health

Principal Data Scientist

Austin, TX · On-site

Overview The Principal Data Scientist is a senior leader and technical authority responsible for ... models and forecasting solutions that directly support population health management, care ...

Central Health

Principal Data Scientist

Austin, TX · Hybrid

Develop disease progression models, readmission risk models, utilization forecasting, and other ... Leverage deep data science expertise to actively contribute to the design and development of AI ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Structured Data (80-90%) - Predictive analytics, forecasting, cost estimation, likelihood modeling ... Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business ... Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS ...

next page

Showing results 1-20

All JobsData Scientist Forecasting JobsData Scientist Forecasting Weekend JobsData Scientist Forecasting Weekend Jobs in Texas

Data Scientist Forecasting Weekend information

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 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 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 are Data Scientist Forecasting Weekend roles?

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 the most commonly searched types of Data Scientist Forecasting jobs in Texas? The most popular types of Data Scientist Forecasting jobs in Texas are:
Data Scientist Forecasting Weekend jobs near you

Data Scientist - Demand Forecasting

Cognizant Technology Solutions

Plano, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

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 across North America. You will be a valued member of the Data Science team and work collaboratively with business stakeholders, data engineers, analytics teams, and technology partners to drive forecast accuracy and actionable insights
Must have 12 + years of experience to be considered
In this role, you will:
  • Develop, enhance, and deploy demand forecasting models to support business planning and decision-making.
  • Improve forecast accuracy, reduce bias, and drive consistency across multiple markets and business segments.
  • Support quarterly forecasting cycles through model validation, business reviews, and stakeholder engagement.
  • Perform model experimentation, testing, monitoring, and ongoing performance optimization.
  • Build scalable data science solutions using Python, PySpark, Databricks, and cloud-based technologies while maintaining efficient data pipelines and documentation.

Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days per week in a client or Cognizant office in Plano, Texas. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • Proven experience developing and deploying production-grade Data Science and Machine Learning solutions.
  • Strong hands-on experience with Databricks, including PySpark, SQL, and Delta Lake.
  • Advanced proficiency in Python for data science, analytics, and integration with APIs and external services.
  • Experience building and orchestrating data pipelines using Azure Data Factory (ADF).
  • Strong understanding of cloud-based data platforms, preferably within the Microsoft Azure ecosystem.
  • Experience working with large-scale datasets and distributed data processing frameworks.
  • Knowledge of CI/CD practices for Databricks deployments and releases.
  • Experience with Azure DevOps and/or GitHub Actions for automation and deployment workflows.
  • Strong analytical, problem-solving, and independent decision-making capabilities.
  • Excellent communication skills with the ability to engage effectively with both technical and business stakeholders.

These will help you stand out
  • Experience supporting demand forecasting, supply chain planning, or sales forecasting initiatives.
  • Knowledge of scenario modeling, hierarchy reconciliation, and long-range forecasting methodologies.
  • Experience monitoring model performance and implementing continuous model improvement strategies.
  • Familiarity with MLOps best practices and model operationalization in enterprise environments.
  • Ability to translate complex technical concepts into business-friendly insights and recommendations.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until July 26, 2026
The annual salary for this position is between $ 115,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

What Cognizant employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply