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Associate Data Scientist Jobs in Springfield, MO

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

GIS Specialist

Springfield, MO · On-site

$43K - $70K/yr

As a GIS Specialist, you will be responsible for managing and analyzing geospatial data to support ... Computer Science, Information Systems, or a closely related field; OR Associate's Degree with ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

Senior Go Engineer

Springfield, MO · On-site

$95K - $130K/yr

... associates.If you're ready to help transform an industry and grow with a company that values ... A bachelor's degree in computer science is desired but not required. * Experience working in ...

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Associate Data Scientist information

See Springfield, MO salary details

$52.3K

$61.9K

$117.3K

How much do associate data scientist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for associate data scientist in Springfield, MO is $61,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $54,100.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as an Associate Data Scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are the most commonly searched types of Data Scientist jobs in Springfield, MO? The most popular types of Data Scientist jobs in Springfield, MO are:
What are popular job titles related to Associate Data Scientist jobs in Springfield, MO? For Associate Data Scientist jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Associate Data Scientist jobs in Springfield, MO look for? The top searched job categories for Associate Data Scientist jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Associate Data Scientist jobs? Cities near Springfield, MO with the most Associate Data Scientist 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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