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Remote Causal Inference Jobs in Virginia (NOW HIRING)

Remote Causal Inference information

What are the key skills and qualifications needed to thrive as a Remote Causal Inference Specialist, and why are they important?

To thrive as a Remote Causal Inference Specialist, you need strong quantitative and statistical skills, a solid background in econometrics or data science, and typically an advanced degree in a related field. Proficiency with statistical programming languages such as R or Python, experience with causal inference frameworks like propensity score matching or instrumental variables, and familiarity with data visualization tools are crucial. Outstanding problem-solving abilities, clear communication, and self-motivation are essential soft skills for working independently and conveying complex results to non-technical stakeholders. These skills enable accurate, actionable insights from data, which drive evidence-based decision-making in remote, collaborative environments.

How does a remote Causal Inference specialist typically collaborate with cross-functional teams, and what tools are commonly used?

As a remote Causal Inference specialist, you’ll frequently work with data scientists, product managers, and engineers to design and interpret experiments, analyze observational data, and provide actionable insights. Collaboration usually happens through regular video meetings, shared documentation, and project management tools. Commonly used platforms include Slack or Microsoft Teams for communication, GitHub for code collaboration, and Jupyter Notebooks or RMarkdown for sharing reproducible analyses. These tools help ensure transparency and maintain strong teamwork despite the remote environment.

What is a Remote Causal Inference job?

A Remote Causal Inference job involves using statistical and analytical methods to determine cause-and-effect relationships from data, often for fields like healthcare, social sciences, or business. Professionals in this role work remotely, leveraging tools such as R, Python, or specialized software to analyze experiments, observational studies, or large datasets. Their insights help organizations make data-driven decisions, design better interventions, and accurately measure the impact of policies or treatments. Strong skills in statistics, machine learning, and communication are essential for success in this position.
What are the most commonly searched types of Causal Inference jobs in Virginia? The most popular types of Causal Inference jobs in Virginia are:
What cities in Virginia are hiring for Remote Causal Inference jobs? Cities in Virginia with the most Remote Causal Inference job openings:
Director, Data Science & Advanced Analytics (Remote Eligible)

Director, Data Science & Advanced Analytics (Remote Eligible)

Dollartree

Chesapeake, VA • On-site, Remote

$180K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Dollar Tree rating

4.4

Company rating: 4.4 out of 10

Based on 2,410 frontline employees who took The Breakroom Quiz

37th of 39 rated national retailers


Job description

Your analytical expertise, strategic thinking, and ability to translate complex data into actionable business insights make you a great fit for our Director, Data Science & Advanced Analytics position. Join our dynamic team today and find a rewarding career with a company that values you and all you bring to the table.

About Your Role:

As a Director, Data Science & Advanced Analytics at Dollar Tree's corporate office, you'll lead advanced analytics that inform key business strategies and investment decisions across our retail and merchandise portfolio. You will partner closely with senior leadership to analyze rich datasets-including store transactions, demographics, operational metrics, resource planning, media spending, and platform metrics-to build models that explain and forecast performance drivers. You will also help operationalize analytics capabilities through scalable processes and vendor partnerships, including collaboration with offshore analytics partners.

With over 9,000 retail locations, $20 billion in annual sales, and more than $1 billion in annual investments, this role has a significant opportunity to influence strategic decisions and drive meaningful business impact.

Your day-to-day job duties include, but are not limited to, the following:

Advanced Analytics & Modeling

Lead development of statistical and predictive models to quantify the impact of investments and operational initiatives on store performance, profit, and growth
Drive the end-to-end analytics lifecycle: data sourcing, feature engineering, model development/validation, and impact measurement
Champion best practices in data quality, reproducibility, model governance, and documentation

Executive Insights & Decision Support

Translate complex analytical outputs into clear, actionable insights for senior business leaders with compelling storytelling and visualizations
Build dashboards and reporting frameworks to communicate portfolio performance and scenario forecasts to executive audiences

Cross-Functional Collaboration

Partner closely with finance, operations, real estate, merchandising, marketing, HR, and other cross-functional teams to frame business problems, establish KPIs, and align on analytical approaches

Vendor & Analytics Operating Model

Establish a collaborative operating model with external analytics vendors (e.g., partners in a low-cost/high-talent location), including specification of requirements, quality assurance, and delivery oversight

Business Impact

Models that materially improve forecasting accuracy and investment evaluation
Consistent, executive-grade insights that influence strategic decisions
Strong collaboration between internal teams and external analytics partners
Scalable analytics processes and tools that reduce time-to-insight and increase adoption

Your Required Skills and Experience:

Seasoned leader with 10+ years of relevant experience in data science, advanced analytics, or related quantitative role (finance, operations research, econometrics, etc.) with strong track record of modeling business outcomes
Master's Degree in Statistics, Applied Math, Economics, Data Science, Computer Science, or related field
Deep statistical knowledge and expertise with predictive modeling, regression, causal inference, time series, and other quantitative methods
Demonstrated ability to communicate complex analytical concepts to non-technical senior stakeholders, including C-suite executives
Proficiency with SQL and at least one scripting language for analytics (Python, R, SAS)
Experience with data visualization tools (e.g., Tableau, Power BI) and dashboard delivery
Business Communication: Translate analytical insights clearly and convincingly for executive audiences
Strategic Thinking: Focus on business impact - not just technically correct analysis, but insight that drives value
Cross-Functional Collaboration: Lead discussions with finance, operations, technology, and vendor teams to execute analytics initiatives
Data Storytelling & Visualization: Craft compelling narratives supported by charts, models, and dashboards

Preferred Requirements:

Ph.D. in Statistics, Applied Math, Economics, Data Science, Computer Science, or related field
Prior experience working with large retail datasets and multi-dimensional performance metrics
Prior experience leading vendor/partner analytics engagements
Demonstrated leadership in analytics initiatives that influenced business strategy

Our success is a team effort -

when we reach our goals, you'll be eligible for a yearly bonus!

Your Perks and Benefits:

We offer a wide variety of rewards to support your health, wealth, and mental well-being. In addition to medical, pharmacy, dental, and vision insurance, we offer:

Employee Assistance Program
Retirement plans with matching contribution
Employee Stock Purchase Program
Educational Assistance
Access to PerkSpot, an employee discount platform for goods and services
And much more!

Start Rate =$180,000-$200,000based on experience plus 25% target bonus and equity.


The company offers Health, Dental, & Vision, a flexible spending account, life and disability insurance benefits, a 401k plan, PTO, paid holidays annually, and an employee stock purchase plan.

Who We Are:

At Dollar Tree, we make a difference in the lives of our customers every day by exceeding their expectations and delivering value - it's what our business is built on. Our associates play an important role in this commitment by embracing change and showing up for their teams and their communities.

We see an exciting path forward as our company continues to grow and transform - and we know that this path starts with you.

Join our team today and discover The Value of You.

Dollar Tree is an Equal Opportunity Employer committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position. This is not to be considered a complete list of job duties, which appear in the job description for this position, and which may be amended from time to time at the discretion of Dollar Tree. Incumbents will follow any other

Full time500 Volvo Parkway,Chesapeake,Virginia 23320FP&ADollar Tree

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About Dollar Tree

Sourced by ZipRecruiter

With Dollar Tree and Family Dollar, we put value front and center for our customers. We do this by providing our customers with quality merchandise, amazing values, convenience, and a fun shopping experience. Whether you’re looking for the thrill of the hunt at Dollar Tree or shopping for your favorite brands at Family Dollar, you’re sure to find savings on a great selection of merchandise in our stores.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Chesapeake, VA, US