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Python Salary In Jobs in Lenexa, KS (NOW HIRING)

QA Test Engineer - KS

Overland Park, KS · On-site

$40.75 - $55.50/hr

This position requires Python programming expertise in order to maintain our current setup as well ... base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits ...

... In-Office Department: Actuarial Salary: Top of market salary + equity Steadily is redefining ... Experience with SQL, Python, R, or geospatial tools * Certified Catastrophe Risk Analyst (CCRA ...

... In-Office Department: Actuarial Salary: Top of market salary + equity Steadily is redefining ... Experience with SQL, Python, R, or geospatial tools * Certified Catastrophe Risk Analyst (CCRA ...

Data Engineer

Leawood, KS · Hybrid

$111K - $133K/yr

... Python/PySpark. * Ability to work in a team environment and independently as * Ability to work ... Competitive Salary * Medical, Dental and Prescription Insurance * Disability and Life Insurance

Salaried Discover a more connected career The GIS Analyst Lead provides provides direct, day-to-day ... Bachelor's degree or advanced training in the field preferred * Strong interpersonal skills; expert ...

... in scripting languages (Python, PowerShell, shell) is a plus. * Industry certifications are a strong asset (e.g., GIAC, Microsoft SC-200, Splunk Enterprise Security, AWS/Azure security certs). Salary ...

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How much do python salary in jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python salary in in Lenexa, KS is $55.03, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $62.50 per hour, depending on experience, location, and employer.

Which Python jobs pay the most?

Senior Python developers, data scientists, and machine learning engineers tend to have the highest salaries among Python-related roles, often exceeding $120,000 annually depending on experience, location, and industry. Specialized skills in frameworks like Django or Flask, along with expertise in data analysis or AI, can also increase earning potential.

What is the difference between Python Salary In vs Data Analyst Salary In?

AspectPython Salary InData Analyst Salary In
Required CredentialsProficiency in Python, data manipulation, and scripting skillsProficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, software firms, data-driven organizationsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed for automation, data analysis, and backend developmentUsed for reporting, data interpretation, and decision support

Python Salary In typically involves programming and automation skills, often in tech-focused environments, while Data Analyst Salary In centers on data interpretation and reporting in various industries. Both roles require analytical skills but differ in technical depth and daily tasks.

Can I make 100k as a software developer?

Software developers, including those specializing in Python, can earn $100,000 or more annually depending on experience, location, and industry. Senior developers with advanced skills, certifications, and experience in high-demand markets are more likely to reach or exceed this salary level.

Is Python a high paying job?

Python developers often earn high salaries due to the language's widespread use in data science, web development, and automation. Salaries vary based on experience, location, and skill level, but Python roles generally offer competitive compensation compared to other programming languages.

What pays more, C++ or Python?

For Python developers, salaries are generally comparable to or slightly lower than C++ developers, depending on experience and industry. C++ roles often require specialized skills in systems programming, which can command higher pay, especially in finance, gaming, or embedded systems. Both languages are in demand, but C++ roles tend to offer higher compensation at senior levels.
What job categories do people searching Python Salary In jobs in Lenexa, KS look for? The top searched job categories for Python Salary In jobs in Lenexa, KS are:
Infographic showing various Python Salary In job openings in Lenexa, KS as of June 2026, with employment types broken down into 74% Full Time, 20% Part Time, and 6% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $114,460 per year, or $55 per hour.

Senior Credit Risk/Decision Scientist

TBO Bank

Kansas City, MO

Full-time

Posted 5 days ago


Job description

POSITION DESCRIPTION

Title: Senior Credit Risk/Decision Scientist

Classification: Salaried, exempt

Position Type: Full Time

Reports to: Credit Risk Officer – Digital Banking

Location: TBD

Summary/Objective

The Senior Credit Risk/Decision Scientist will be responsible for quantitative model development, credit strategy design, and analytical decision support throughout the customer life cycle. This role will build, validate, and monitor predictive models; design and interpret strategy tests; and translate analytical findings into actionable credit policy.

Essential Functions

Duties/Responsibilities:

• Develop, validate, and recalibrate credit risk scorecards and predictive models for acquisition, account management, and loss forecasting.

• Design and analyze champion-challenger tests to optimize credit policy and decisioning thresholds.

• Partner with Marketing to enhance response and bidding models focused on improved conversion and acquisition cost

• Monitor model performance through ongoing back-testing, stability analysis, and drift detection; recommend recalibration as needed.

• Integrate and evaluate third-party data vendors to enhance model features, leads waterfall and risk segmentation.

• Support prescreen modeling and strategies in partnership with marketing and credit strategy teams.

• Conduct portfolio-level risk analysis including delinquency trending, vintage analysis, and loss projections.

• Collaborate with compliance on model risk governance, fair lending review, and SR 11-7 documentation requirements.

• Prepare clear model documentation, validation reports, and executive-ready presentations for internal stakeholders and regulators.

• Partner with IT and data engineering teams on data pipelines, feature engineering, and model deployment in production environments.

• Contribute to fraud detection and collections analytics as workflow allows, supporting cross-functional risk initiatives.

Competencies:

• 5+ years of experience in credit risk modeling, decision science, or quantitative analytics within a bank, credit union, fintech, or consumer lender.

• Demonstrated experience building and validating scorecards using logistic regression, decision trees, gradient boosting, or similar techniques.

• Strong proficiency in Python or R for statistical modeling, data manipulation, and visualization

• Solid SQL skills; ability to independently access and analyze large datasets

• Familiarity with credit bureau data (Experian, Equifax, TransUnion) and alternative data sources.

• Understanding of model risk management frameworks, including SR 11-7 / OCC 2011-12 guidance.

• Strong analytical communication skills — ability to translate complex model outputs into actionable business recommendations.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Finance, or a related quantitative field.