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Remote Economics Data Science Jobs in Springfield, MO

Remote Economics Data Science information

See Springfield, MO salary details

$37.8K

$129.6K

$182.8K

How much do remote economics data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote economics data science in Springfield, MO is $129,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $151,500.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Remote Economics Data Science jobs in Springfield, MO? For Remote Economics Data Science jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Remote Economics Data Science jobs in Springfield, MO look for? The top searched job categories for Remote Economics Data Science jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Remote Economics Data Science jobs? Cities near Springfield, MO with the most Remote Economics Data Science job openings:
Litigation Data Analyst - Mass Tort & Product Liability

Litigation Data Analyst - Mass Tort & Product Liability

Husch Blackwell Llp

Springfield, MO • On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 5 days ago


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation.  If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Litigation Data Analyst – Mass Tort & Product Liability position. This position may be filled remotely, or in any of our locations.

The Litigation Data Analyst – Mass Tort & Product Liability serves as a strategic insights partner to our premier mass tort and product liability practice. This position will leverage data analytics to guide litigation strategy, predict case outcomes, and optimize financial performance across complex multi-plaintiff litigation portfolios.

Essential functions include:

Case Analytics & Outcome Prediction

  • Analyze historical verdict data, settlement patterns, and case characteristics to develop predictive models for case valuation and outcome probability
  • Build comprehensive databases of comparable verdicts, settlements, and judicial decisions to support case strategy and client counseling
  • Develop statistical models to assess likelihood of settlement versus trial outcomes based on case factors, jurisdiction, and opposing counsel profiles
  • Create financial modeling frameworks to project settlement ranges, trial outcomes, and expected case values across different scenarios

Portfolio Management & Strategic Insights

  • Monitor and analyze mass tort inventory performance, identifying trends in case development, settlement velocity, and financial outcomes
  • Collaborate with litigation teams to understand case development challenges and translate them into analytical problems
  • Structure complex litigation problems into clear analytical tasks, supporting strategic decision-making on case selection, resource allocation, and settlement timing
  • Prioritize analyses based on case value, urgency, and strategic importance to the practice

Reporting & Visualization

  • Design and build automated dashboards tracking key litigation metrics including case inventory, settlement rates, average case values, and practice profitability
  • Create executive-level reports on practice performance, including revenue forecasts, cost analysis, and profit margins by case type and jurisdiction
  • Streamline existing case reporting processes to ensure timely and accurate delivery of key performance indicators
  • Present findings and recommendations in clear, concise manner tailored to different audiences (partners, associates, clients, experts)

Data Management & Process Optimization

  • Clean, manipulate, and analyze large litigation datasets to extract trends, patterns, and actionable insights
  • Use statistical and data modeling techniques to support litigation strategy and business development decisions
  • Connect analytical findings to litigation strategy, financial outcomes, and client impact

Cross-Functional Collaboration

  • Partner with attorneys, paralegals, case managers, and finance teams to gather requirements and align on analytical objectives
  • Collaborate with business development team to identify market opportunities and practice growth strategies
  • Share knowledge and best practices with litigation teams to elevate analytical capabilities across the practice

Position Requirements

  • Advanced degree in statistics, economics, or related quantitative field or commensurate professional and educational experience. 
  • 3+ years in litigation support, data analysis, consulting, or strategic operations role, preferably in a legal services environment
  • Background in financial analysis, actuarial science, or quantitative fields highly valued
  • Advanced proficiency in Excel, SQL, and statistical analysis tools (R, Python, SAS preferred)
  • Hands-on experience with legal technology platforms (Relativity, Lexis, Westlaw) and case management systems
  • Proficiency with Power BI or equivalent data visualization tools
  • Experience with statistical modeling, regression analysis, and predictive analytics
  • Proven ability to scope and lead complex analytical projects with limited direction
  • Experience analyzing financial performance metrics, P&L statements, and profitability drivers
  • Fluent in translating complex data into clear implications and actionable recommendations for legal strategy
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with attorneys and senior stakeholders
  • Operates with a client-service mindset—responsive, proactive, and trusted advisor
  • Comfortable working at both strategic and tactical levels within litigation framework
  • Thrives in high-pressure, deadline-driven environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play key role in practice growth and innovation
  • Understanding of attorney-client privilege and work product doctrine as applied to litigation analytics

Preferred Qualifications

  • JD is preferred
  • Experience with mass tort, class action, or complex litigation preferred
  • Experience with insurance coverage analysis and actuarial modeling
  • Knowledge of federal and state court systems and civil procedure
  • Understanding of damages calculations and economic loss analysis

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $111,000 - $211,000
  • State of Colorado: $102,000 - $182,000
  • State of Illinois: $100,000 - $194,000
  • State of Massachusetts: $111,000 - $211,000
  • State of Maryland: $107,000 - $163,000
  • State of Minnesota: $111,000 - $183,000
  • Jersey City, NJ: $120,000 - $218,000
  • State of New York: $103,000 - $223,000
  • State of Vermont: $109,000 - $210,000
  • State of Washington: $107,000 - $204,000
  • Washington, D.C.: $143,000 - $210,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.


EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

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