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Assistant Data Scientist Forecasting Jobs in Washington

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Hive Group, LLC

Data Scientist

Mclean, VA · On-site

$95 - $140/hr

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.

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 · 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 ...

Cmu

Data Scientist

Arlington, VA

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 ...

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$77K - $176K/yr

Experience with time series forecasting * Experience with optimization, modeling and simulation ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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.

KBR, Inc

Data Scientist

Chantilly, VA · On-site

$161 - $222/hr

Data Scientist Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides ... Experience with deep learning, NLP, recommender systems, or time‑series forecasting. Basic ...

New

KBR

Data Scientist

Chantilly, VA

$161K - $221K/yr

Data Scientist Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides ... Experience with deep learning, NLP, recommender systems, or time-series forecasting. Ready to Make ...

Cyquent, Inc.

Data Scientist

Rockville, MD · On-site

Cyquent, Inc. is seeking a Criminal Justice Data Scientist to support data-driven decision-making ... to forecast resource needs and identify potential crime hotspots or high-risk individuals. • ...

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Assistant Data Scientist Forecasting information

What does an assistant data scientist forecasting do?

An Assistant Data Scientist in Forecasting helps analyze historical data and uses statistical models or machine learning techniques to predict future trends or outcomes. Their tasks often include data cleaning, exploratory analysis, feature engineering, and supporting the development and validation of forecasting models. They work under the guidance of more experienced data scientists and may also help communicate results to stakeholders. This role is essential for businesses looking to make data-driven decisions about sales, inventory, demand, or other key metrics.

What are the key skills and qualifications needed to thrive as an assistant data scientist forecasting?

To thrive as an Assistant Data Scientist Forecasting, you need a solid foundation in statistics, data analysis, and forecasting methods, typically supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with tools like Python, R, SQL, and forecasting libraries (e.g., Prophet, ARIMA), as well as experience with data visualization platforms, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex results and present actionable insights. These competencies are crucial to generate accurate forecasts that guide business decisions and drive organizational success.

What are some typical challenges assistant data scientists face when working on forecasting projects?

Assistant Data Scientists in forecasting often encounter challenges such as handling incomplete or noisy datasets, selecting appropriate modeling techniques, and tuning models for accuracy. They may also need to balance competing priorities between speed and precision, especially when deadlines are tight. Close collaboration with senior data scientists and domain experts is common, as it helps ensure that forecasts are both technically sound and aligned with business goals. Developing strong communication skills is essential for presenting complex findings to non-technical stakeholders.

What is the difference between Assistant Data Scientist Forecasting vs Data Scientist Forecasting?

AspectAssistant Data Scientist ForecastingData Scientist Forecasting
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles may prefer a master'sMaster's or PhD in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentSupportive team, entry to mid-level projects, supervised tasksIndependent project work, complex analysis, strategic decision-making
Employer & Industry UsageTech companies, finance, retail, healthcare; entry to mid-level rolesResearch institutions, large corporations, specialized analytics teams

The Assistant Data Scientist Forecasting role typically involves supporting forecasting projects under supervision, focusing on data preparation and basic modeling. In contrast, a Data Scientist Forecasting leads complex forecasting models, interprets results, and influences strategic decisions. The roles differ mainly in experience level, scope of responsibilities, and independence.

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

The most popular types of Data Scientist Forecasting jobs in Washington are:

What cities in Washington are hiring for Assistant Data Scientist Forecasting jobs?

Cities in Washington with the most Assistant Data Scientist Forecasting job openings:

Assistant Data Scientist Forecasting jobs near you

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 17 days ago

Job description

Data Scientist
General Information
Requisition #715
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science�driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal 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 Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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