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Contract Python Data Analysis Jobs in Sioux Falls, SD

micro1 AI

Private Funds Attorney - Remote

Sioux Falls, SD · Remote

$90 - $130/hr

... refine data, guidelines, and best practices for AI-driven contract review solutions. Required ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

ABB

Data Center COE Project Manager

SD · Remote

$120K/yr

Analyzing and addressing project risks, and regularly disseminating lessons learned * Working with ... Achieving project deliverables and compliance with contract requirements * Building strong ...

Nordson Corporation

Senior R&D Engineer (Optical)

Hills, MN · On-site

$125K - $155K/yr

Demonstrated proficiency in test automation and data analysis using Python and/or Matlab, LabView ; familiarity with C# for instrument control is a plus. * Proficiency in CAD ( SolidWorks or Creo ...

Lantern

Strategy Analyst

Sioux Falls, SD · On-site

... analysis to identify industry trends and business opportunities * Develop financial models and data ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Lantern

Strategy Analyst

Sioux Falls, SD · Remote

... analysis to identify industry trends and business opportunities * Develop financial models and data ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

KBR

Satellite-Derived Bathymetry Scientist

Sioux Falls, SD · On-site +1

... Contract (TSSC) at the United States Geological Survey (USGS) Earth Resources Observation & Science ... data mining proficiency, geospatial analysis, and geospatial interpretation expertise will inform ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Sioux Falls, SD

Contract Python Data Analysis information

See Sioux Falls, SD salary details

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How much do contract python data analysis jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for contract python data analysis in Sioux Falls, SD is $58.32, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $66.25 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Sioux Falls, SD? The most popular types of Python Data Analysis jobs in Sioux Falls, SD are:
What are popular job titles related to Contract Python Data Analysis jobs in Sioux Falls, SD? For Contract Python Data Analysis jobs in Sioux Falls, SD, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Sioux Falls, SD look for? The top searched job categories for Contract Python Data Analysis jobs in Sioux Falls, SD are:
Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Sioux Falls, SD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,306 per year, or $58.3 per hour.

Financial Crimes Model Analyst

STRIDE BANK NA

Sioux Falls, SD

Full-time

Re-posted 3 days ago

Job description

The Financial Crimes Model Analyst plays a critical role in designing, validating, and optimizing analytical models that support financial crime prevention, including fraud, AML/KYC, and sanctions monitoring. This role leverages modern data-agnostic, low/no-code analytical platforms and machine-learning tooling to operationalize robust detection logic, integrate LLM/SLM outputs responsibly, and ensure alignment with Model Risk Management (MRM) standards.

PRINCIPAL DUTIES AND RESPONSIBILITIES

  1. Designs, validates, and enhances financial crime detection models across fraud, AML/KYC screening, and related domains.
  2. Applies statistical techniques to evaluate and calibrate LLM/SLM outputs when used in decision-support workflows.
  3. Conducts ablation studies, back testing, and reproducible experiments to ensure model stability and business impact.
  4. Optimizes model and pipeline efficiency, including latency, throughput, and computational performance.
  5. Develops, tracks, and interprets performance metrics.
  6. Implements monitoring for drift, bias, degradation, and shifts.
  7. Produces audit-ready MRM documentation, including validation plans, governance artifacts, explainability notes, and calibration reports.
  8. Maintains model health dashboards and reporting for executives, governance bodies, and oversight functions.
  9. Partners with internal and external data engineers and vendor partners to maintain reliable inputs and production workflows.
  10. Develops SQL and Python assets for exploration, experimentation, reporting, and automated artifact generation.
  11. Maintains clear and comprehensive documentation, including data dictionaries, model cards, decision logic, and workflow diagrams.
  12. Works cross-functionally with engineering, product, compliance, risk, and vendor teams to deploy and maintain models.
  13. Translates complex analytical concepts into accessible insights for varied technical and business audiences
  14. Performs other duties as assigned.

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in Statistics, Econometrics, Data Science, Mathematics, Computer Science, or a related quantitative field, required; Master's degree, preferred.
  • 3-5 years' experience in model development, evaluation, monitoring, risk governance, or model lifecycle management, required.
  • 3-5 years' experience in BSA/AML compliance, fraud and/or case investigation, or experience in quality assurance/control or internal audit, required.
  • Hands-on expertise in SQL and Python for analysis and rapid prototyping, required.
  • Familiarity with modern modeling techniques, or similar low/no-code platforms, and the responsible use of LLM/SLM capabilities, required.
  • Experience producing governance-grade validation or audit documentation, required.
  • Exposure to financial crime domains (AML, KYC, fraud), preferred.
  • CAMS and/or CAFP certifications, preferred.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Strong understanding of supervised/unsupervised ML evaluation, calibration, drift detection, and explainability methods.
  • Knowledge of data quality domains and data lineage principles.
  • Familiarity with AI model governance concepts, including MRM standards and regulatory expectations.
  • Ability to develop and maintain dashboards and report for model health and risk indicators.
  • Knowledge of regulatory environment(s) and emerging BSA/AML and fraud trends.
  • Strong investigative, written, and oral communication skills.
  • Strong commitment to ethics, and the ability to understand a variety of issues and perspectives.
  • Understanding of the banking industry, including bank partnerships with fintech companies.
  • Multitasks effectively and takes action promptly, both independently and in a team environment.
  • Handles highly confidential information with appropriate discretion, and works well in a high volume, fast paced environment.

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