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Remote Economics Data Science Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Stay current with emerging data science technologies and best practices. Minimum Qualifications

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Senior Consultant Data Scientist Arlington, Virginia, United States, Remote Flexible Excella is a transformative technology firm that helps organizations unlock new possibilities. We believe the key ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

... data science missions. A seamless group of contractor and customer personnel work to create ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

... data science missions. A seamless group of contractor and customer personnel work to create ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

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Remote Economics Data Science information

Can data science jobs be done remotely?

Remote economics data science jobs are common, allowing professionals to work from anywhere with internet access. These roles often require skills in programming, data analysis, and tools like Python or R, and may involve collaboration through online platforms. Many companies now offer flexible or fully remote positions for data scientists.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. For a remote economics data scientist, focusing on the most impactful variables or data sources can improve model efficiency and accuracy.

What are the key skills and qualifications needed to thrive as a Remote Economics Data Scientist, and why are they important?

To thrive as a Remote Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by a degree in economics, statistics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with databases or cloud platforms are essential technical skills. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These skills are crucial for accurately interpreting economic data, building predictive models, and driving data-informed decision-making in a remote environment.

What jobs can I get with data science and economics?

With a background in data science and economics, you can pursue roles such as economic analyst, data scientist, financial analyst, policy analyst, or research associate. These positions often require skills in statistical analysis, programming (e.g., Python, R), and understanding economic models, and they are common in finance, government, consulting, and research organizations.

How do remote Economics Data Science professionals typically collaborate with cross-functional teams?

Remote Economics Data Science professionals often work closely with teams in product, engineering, and business strategy through virtual meetings, shared dashboards, and collaborative tools. Communication is key, as they translate complex economic models and data findings into actionable insights for stakeholders with varying technical backgrounds. Regular check-ins, clear documentation, and participation in agile sprints or project cycles help align goals and ensure that data-driven recommendations are integrated into decision-making processes. Adapting to different time zones and building strong virtual relationships are important aspects of effective collaboration in this remote role.

What is a Remote Economics Data Scientist?

A Remote Economics Data Scientist is a professional who analyzes large sets of economic and financial data to extract insights, build predictive models, and support decision-making, all while working from a remote location. They combine expertise in economics, statistics, programming, and data analysis to interpret trends and inform business or policy strategies. Remote Economics Data Scientists often use tools such as Python, R, SQL, and data visualization platforms to communicate findings effectively. Their work can span industries like finance, government, consulting, and academia.

Can I be a data scientist with an economics degree?

A data scientist role often requires strong skills in statistics, programming, and data analysis, which can be gained with an economics degree. Many data scientists have backgrounds in economics, especially if they have experience with tools like Python, R, or SQL, and knowledge of machine learning techniques. Additional certifications or coursework in data science can enhance employability in this field.
What cities in Virginia are hiring for Remote Economics Data Science jobs? Cities in Virginia with the most Remote Economics Data Science job openings:
Senior Data Scientist

Senior Data Scientist

Team Velocity

Herndon, VA • On-site, Remote

$160K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics, and AI-driven solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence. The role partners with Product, Data Engineering, Software Engineering, Analytics, and business stakeholders to deliver production-ready AI solutions.

Key Responsibilities

  • Design, build, train, evaluate, and deploy machine learning models.

  • Develop predictive models including churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution.

  • Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis.

  • Build feature engineering and model training pipelines.

  • Deploy and monitor production ML models, including model drift detection and retraining.

  • Collaborate with Product, Engineering, Analytics, and executive leadership.

  • Mentor junior data scientists and establish best practices.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field, Master's or PhD preferred

  • 5+ years of experience building and deploying production ML systems, with a track record of measurable business impact

  • Strong communication and business problem-solving skills

Technical Skills

  • Expert Python and SQL

  • Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning

  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference

  • Snowflake, Matillion, dbt, Pandas, Spark, Airflow

  • Cloud: Google Cloud (preferred), AWS, or Azure

  • MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD

  • Data quality and observability: Great Expectations, Monte Carlo, or similar frameworks

  • LLMs and AI: OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases

Preferred Experience

  • Large-scale customer data platforms

  • Marketing analytics and personalization

  • Automotive or SaaS industry experience

  • Real-time inference and streaming platforms

Success Metrics

  • Deliver production-ready ML models with measurable business impact

  • Improve prediction accuracy and operational efficiency

  • Implement model monitoring and retraining

  • Mentor team members and establish Data Science best practices

  • Contribute to team capability growth through documentation, code review standards, and mentorship outcomes that raise the overall quality of the Data Science function

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $160,000–$220,000 annually. The final offer will be based on several factors, including relevant experience, skills, and qualifications.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.

About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.
Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.
Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.