ZipRecruiter

Log In

1

Internship Time Series Forecasting Jobs in Virginia

Halyard Health

Data Scientist

Glen Allen, VA · On-site

$110 - $117/hr

The ideal candidate should be proficient in Python, PySpark, and SQL, experienced in time series forecasting, feature engineering, and data model performance evaluation, and capable of working with ...

Blue Origin

AI Engineer II - Blue Ring

Reston, VA · On-site

Experience with time-series ML architectures (RNNs, LSTMs, Transformers) for forecasting or anomaly detection * Exposure to multi-agent system frameworks or agentic AI orchestration patterns

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Regression, time-series forecasting, clustering, and anomaly detection. * Governance & Security: Familiarity with NIST data-handling standards, FedRAMP compliance, and secure data pipelines.

Nestle

Sr. Data Scientist (Forecasting)

Arlington, VA · On-site

$110K - $160K/yr

You'll design and deploy production-grade forecasting models, embed AI into how forecasts get ... time series modeling, and feature engineering Other * Master's degree in statistics, mathematics ...

LMI

Senior Data Scientist (Clearance Required)

Tysons, VA · On-site

$113K - $192K/yr

Background in NLP, computer vision, time-series forecasting, anomaly detection, or operations research applied to defense problems. * Familiarity with Agile delivery and working on balanced, cross ...

LMI

Senior Data Scientist (Clearance Required)

Tysons, VA · On-site

$113K - $192K/yr

Background in NLP, computer vision, time-series forecasting, anomaly detection, or operations research applied to defense problems. * Familiarity with Agile delivery and working on balanced, cross ...

Cisco

Applied AI Scientist

Ashburn, VA · On-site

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...

Cisco

Applied AI Scientist

Mclean, VA · On-site

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...

Cisco

Applied AI Scientist

Arlington, VA · On-site

... forecasting) for detecting anomalies in high-volume operational data. * Hands-on experience developing, fine-tuning, or adapting foundation models for domain-specific data such as logs, time-series ...

next page

Showing results 1-20

All JobsTime Series Forecasting JobsInternship Time Series Forecasting JobsInternship Time Series Forecasting Jobs in Virginia

Internship Time Series Forecasting information

What is an internship in time series forecasting?

An Internship in Time Series Forecasting is a temporary position that allows students or recent graduates to gain hands-on experience analyzing and predicting data points over time. Interns typically work with historical datasets to identify trends, seasonality, and patterns, often using statistical or machine learning models. These internships provide valuable exposure to real-world forecasting challenges in industries such as finance, retail, or technology, and help interns develop both technical and analytical skills. Interns may also collaborate with data scientists and business analysts to support decision-making processes.

What do interns in time series forecasting do?

As an intern in time series forecasting, you can expect to work on projects involving the analysis and modeling of sequential data—such as sales figures, stock prices, or sensor readings. Common tasks include cleaning and visualizing time-based datasets, applying statistical and machine learning models (like ARIMA or LSTM), and evaluating model performance. Interns often collaborate with data scientists and analysts to interpret results, present findings, and help integrate forecasting models into business processes. These experiences provide valuable hands-on exposure to both the technical and collaborative aspects of data science.

What skills and qualifications are needed for an internship in time series forecasting?

To thrive as an Internship Time Series Forecasting, you need a solid background in statistics, data analysis, and programming, often supported by coursework or experience in mathematics, economics, or computer science. Familiarity with statistical software and programming languages such as Python or R, as well as tools like pandas, NumPy, and forecasting libraries (e.g., Prophet, ARIMA), is typically required. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this analytical role. These abilities are crucial for accurately analyzing data trends, communicating insights, and delivering reliable forecasts that support business decisions.

What is the difference between Internship Time Series Forecasting vs Data Analyst?

AspectInternship Time Series ForecastingData Analyst
Required CredentialsBasic knowledge of statistics, programming, and time series conceptsBachelor's degree in data-related fields, some roles may require certifications
Work EnvironmentInternship setting, often in finance, retail, or tech companiesFull-time or part-time roles in various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed for entry-level training and project support in forecasting tasksUsed for data analysis, reporting, and decision-making across industries

Internship Time Series Forecasting focuses on entry-level, project-based work involving forecasting models, while Data Analysts perform broader data analysis tasks, including reporting and insights. Both roles require analytical skills but differ in scope and experience level.

What are the most commonly searched types of Time Series Forecasting jobs in Virginia?

The most popular types of Time Series Forecasting jobs in Virginia are:

What are popular job titles related to Internship Time Series Forecasting jobs in Virginia?

For Internship Time Series Forecasting jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Time Series Forecasting jobs in Virginia look for?

The top searched job categories for Internship Time Series Forecasting jobs in Virginia are:

What cities in Virginia are hiring for Internship Time Series Forecasting jobs?

Cities in Virginia with the most Internship Time Series Forecasting job openings:

Internship Time Series Forecasting jobs near you

Data Scientist

Halyard Health

Glen Allen, VA • On-site

$110 - $117/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, health systems and research centers around the world. For over 140 years, Owens & Minor has delivered comfort and confidence behind the scenes, so healthcare stays at the forefront, helping to make each day better for the hospitals, healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere, Life Takes Care.Global Reach with a Local Touch140+ years serving healthcareOver 14,000 teammates worldwideServing healthcare partners in 80 countriesManufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland40+ distribution centersPortfolio of 300 propriety and branded product offerings1,000 branded medical product suppliers4,000 healthcare partners servedBenefitsComprehensive Healthcare Plan - Medical, dental, and vision plans start on day one of employment for full-time teammates.Educational Assistance - We offer educational assistance to all eligible teammates enrolled in an approved, accredited collegiate program.Employer-Paid Life Insurance and Disability - We offer employer-paid life insurance and disability coverage.Voluntary Supplemental Programs – We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs.Support for your Growing Family – Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family.Health Savings Account (HSA) and 401(k) - We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits.Paid Leave - In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, and additional types of leave – including parental leave.Well-Being – Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs – all at no cost to you.The anticipated salary range for this position is $110,000- $117,000 USD Annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and locationJob Description:We are seeking a highly skilled Data Scientist with a strong background in machine learning, data engineering, and model optimization. The ideal candidate should be proficient in Python, PySpark, and SQL, experienced in time series forecasting, feature engineering, and data model performance evaluation, and capable of working with large-scale data integration projects across various domains.A large part of this role involves building machine learning models that not only meet but exceed user expectations, driving measurable value for the business. The candidate will need to have a strong grasp of data model optimization, feature engineering, and model evaluation metrics to ensure high-performance solutions.This role also requires experience with cloud platforms, ETL tools, data transformation processes, and working with structured and unstructured data. While not required, familiarity with object-oriented programming languages (C#, Java, JavaScript) is a plus. Strong communication skills are essential for collaborating with cross-functional teams and presenting findings effectively.Key Responsibilities:• Develop and optimize machine learning models with a focus on time series forecasting and predictive analytics.• Perform feature engineering and data model optimization to enhance model accuracy and efficiency.• Continuously evaluate model performance using metrics such as MAPE, RMSE, R², and adjust strategies accordingly.• Build and implement data pipelines using PySpark, SQL, and cloud-based solutions for seamless data integration.• Work on large-scale data integration projects, leveraging tools such as Boomi, SnapLogic, SSIS, or Palantir to extract, transform, and load data.• Utilize Palantir Foundry, Google Cloud, AutoAI, and Google Colab for data modeling, processing, and automation.• Design and maintain data warehouse solutions to support advanced analytics and business intelligence.• Perform complex data transformations using SQL queries and data objects to support AI/ML-driven initiatives.• Collaborate closely with business stakeholders to ensure models align with user expectations and business objectives.• Deploy, monitor, and continuously improve machine learning models in production environments.• Communicate technical findings and insights effectively to both technical and non-technical audiences.Required Skills & Qualifications:• Proficiency in Python, PySpark, and SQL for data analysis, feature engineering, and model development.• Expertise in time series forecasting models, including ARIMA, Prophet, LSTMs, and ML-based approaches.• Strong experience in data model optimization, feature engineering, and performance evaluation.• Deep understanding of ML model evaluation metrics and best practices in improving model accuracy.• Hands-on experience in data engineering, working on data pipelines, ETL, and data transformation projects.• Experience using Boomi, SnapLogic, SSIS, or Palantir for data integration.• Proficiency in cloud computing, particularly Google Cloud (BigQuery, Vertex AI, Cloud Functions, etc.).• Experience with Palantir Foundry for data processing, analysis, and visualization.• Ability to optimize and query large-scale datasets using data lakes and relational databases.• Familiarity with AutoAI for automated model selection and hyperparameter tuning.• Experience with Google Colab for collaborative machine learning development.• Excellent problem-solving and communication skills, with the ability to convey complex concepts to business stakeholders.Preferred Qualifications:• Experience with MLOps for continuous deployment, monitoring, and retraining of ML models.• Knowledge of business intelligence and reporting tools for data visualization.• Background in supply chain, logistics, or operational forecasting.• Experience in both batch and real-time data processing architectures.• Ability to optimize SQL queries and data transformations for performance improvements.• Familiarity with object-oriented programming languages such as C#, Java, or JavaScript (not required but beneficial).If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law. #J-18808-Ljbffr

Apply