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Data Scientist Forecasting Weekend Jobs in Virginia

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists build and deliver ML/AIenabled capabilities for mission and operational ... pattern detection, forecasting and simulation, and multi-modal data fusion while working ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Data Scientists supporting these efforts work at the intersection of data science, applied research ... pattern detection, forecasting and simulation, and multi-modal data fusion while working ...

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Perform statistical analysis, forecasting, and pattern recognition to identify process improvement ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or ...

Outcomes4Me

Data Scientist

Mclean, VA · On-site

They are seeking a Data Scientist to transform complex immigration data into actionable ... forecasting, hypothesis testing, and machine learning techniques. • Experience with agency ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government ...

Elder Research

Data Scientist

Arlington, VA · On-site

... forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM) * Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as ...

Carnegie Mellon University

Data Scientist

Arlington, VA · On-site

They are seeking a Data Scientist to leverage advanced statistics, data analytics, machine learning ... Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc ...

Elder Research

Data Scientist

Arlington, VA

... forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM) * Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as ...

Cmu

Data Scientist

Arlington, VA · On-site

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.) * NLP / LLMs (fine ...

Hive Group LLC

Data Scientist

Mclean, VA · On-site

We are seeking a Data Scientist as part of a bid process associated with a Statement of Work. This ... Mastery of regression, forecasting, hypothesis testing, and machine learning techniques.

Hive Group LLC

Data Scientist

Mclean, VA · On-site

We are seeking a Data Scientist as part of a bid process associated with a Statement of Work. This ... Mastery of regression, forecasting, hypothesis testing, and machine learning techniques.

Noblis

Data Scientist

Chantilly, VA · On-site

As a Data Scientist, you will support Intelligence Community missions by developing data-driven ... Experience or knowledge with machine learning, statistical modeling, and/or time-series forecasting.

Tulk LLC

Data Scientist Senior

Fort Belvoir, VA · On-site

$140K - $173K/yr

Data Scientist - Senior TULK is a leading boutique consulting firm providing technology and ... Support risk scoring, anomaly detection, forecasting, performance monitoring, and other advanced ...

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All JobsData Scientist Forecasting JobsData Scientist Forecasting Weekend JobsData Scientist Forecasting Weekend Jobs in Virginia

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 Virginia? The most popular types of Data Scientist Forecasting jobs in Virginia are:
Data Scientist Forecasting Weekend jobs near you

Data Scientist

CACI International, Inc.

Alexandria, VA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago

Job description

Job Title: Data Scientist
Job Category: Intelligence
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 50%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a Data Scientist to support Joint Interagency Task Force 401 (JIATF 401). The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence, and mission data into predictive insights and decision-support products. This position requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and develop innovative analytical solutions supporting senior military and civilian leadership.
Responsibilities:
  • Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
  • Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
  • Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
  • Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
  • Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
  • Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
  • Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness.
  • Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
  • Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
  • Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
  • Research, evaluate, and integrate emerging AI technologies, machine learning frameworks, and advanced analytical methodologies to improve mission performance.
  • Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior military and civilian leadership.
  • Ensure analytical models comply with applicable security, governance, validation, and data integrity requirements.
  • Identify opportunities to improve AI-enabled workflows, analytical automation, predictive modeling capabilities, and enterprise decision-support systems.

Qualifications:
Required:
  • Active Top Secret/SCI Clearance.
  • MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
  • Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.
  • Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
  • Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
  • Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
  • Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
  • Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
  • Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
  • Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials.
  • Ability to communicate complex analytical concepts and model outputs to senior military and civilian leadership in a clear and actionable manner.
  • Proven ability to collaborate across multidisciplinary technical and operational teams.

Desired:
  • Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
  • Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
  • Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
  • Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.
  • Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
  • Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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