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Python Hunting Jobs in Alabama (NOW HIRING)

... by hunters, property owners, and others for real-time remote monitoring. We take pride in ... Development: Python, SQL * Feature store: Snowflake * Experiment Tracking: MLflow Typical work ...

Knowledge of SQL and python or other coding language. * Knowledge of BOSS/TIS/OMM systems. * Familiarity with Oil Movement operations. * Experience with production accounting software. CERTIFICATES ...

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Python Hunting information

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$11

$53

$78

How much do python hunting jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python hunting in Alabama is $53.13, according to ZipRecruiter salary data. Most workers in this role earn between $43.80 and $60.34 per hour, depending on experience, location, and employer.

What is python hunting?

Python hunting refers to the practice of searching for and capturing invasive Burmese pythons, primarily in regions like the Florida Everglades where these snakes are a threat to local ecosystems. Python hunters help control the python population, which has grown rapidly and negatively impacts native wildlife. This job often involves tracking, safely capturing, and sometimes humanely euthanizing the snakes. Many hunters work as part of state-sponsored programs or under special permits, and they play a vital role in conservation efforts.

What are some common challenges faced by professionals involved in python hunting, and how can they be addressed?

Professionals engaged in python hunting, particularly in regions like Florida, often face challenges such as navigating difficult terrain, handling large and potentially dangerous snakes, and working in varying weather conditions. To address these challenges, hunters typically undergo specialized training in safe capture and handling techniques, use appropriate equipment, and often work in teams for increased safety. Collaboration with wildlife agencies and ongoing education about local ecosystems are also essential for success and personal safety in this role.

What are the key skills and qualifications needed to thrive as a python hunter, and why are they important?

To thrive as a Python Hunter, you need knowledge of local wildlife, safe animal handling techniques, and often a relevant permit or certification. Familiarity with tools such as snake tongs, traps, GPS devices, and sometimes airboats is typically required. Strong observation skills, resilience, and effective communication are valuable soft skills for ensuring safety and coordination with team members or authorities. These skills are crucial to safely and efficiently capture invasive pythons, protect native ecosystems, and comply with legal and safety protocols.

What is the difference between Python Hunting vs Data Analyst?

AspectPython HuntingData Analyst
Required CredentialsPython programming skills, certifications in Python or data scienceDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentTech companies, startups, freelance projectsCorporate offices, consulting firms, finance, healthcare
Employer & Industry UsageTech industry, data-driven companiesBusiness, finance, healthcare, marketing
Common Search & ComparisonYesYes

Python Hunting focuses on identifying and extracting Python code or scripts, often for security or development purposes. Data Analysts analyze data sets to generate insights and support decision-making. While both roles require analytical skills, Python Hunting emphasizes coding and security, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Python Hunting job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $110,518 per year, or $53.1 per hour.

Full-time

Re-posted 16 days ago


Job description

Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.

We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven - hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.

We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team

Job Summary
 

Moultrie is looking for a Data Scientist to join the growing Data and Analytics Team. This team owns the development of insights from extraction that power decision-making across Moultrie. This role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems. You will own the statistical modeling and feature engineering that exists in the Data  

  • Data Layer & Feature Store: Snowflake 

  • Model Deployment: Snowflake ML Functions, Snowpark 

  • Development: Python, SQL 

  • Feature store: Snowflake 

  • Experiment Tracking: MLflow 

Typical work includes building and maintaining feature stores Snowflake/dbt, training and validating predictive models against curated datasets, and delivering model outputs as attributes made available in datasets ready for downstream tools.  

The ideal candidate has hands-on experience with applied predictive modeling in a business context (churn prediction, customer health scores, propensity scoring) and can contribute to the data work required to support it. This role will work closely with the other members of the Data and Analytics team as well as business stakeholders to align work with highest business impact.

Job Responsibilities

Predictive and Prescriptive Modeling 

  • Design, build, and maintain predictive models that address defined business questions (customer churn, subscription health, purchase propensity) using data from the foundational layer in Snowflake.   

  • Deliver model outputs as attributes that can integrate cleanly into downstream BI products (Tableau, Streamlit) and activation platforms (BlueConic, Braze, TripleWhale). 

  • Work with business stakeholders to translate ambiguous questions into scoped modeling problems with defined success metrics.  

  • Communicate model outputs and their business implications clearly to non-technical audiences.  

  • Track, document, and monitor experiments and deployed models to ensure outputs are reliable, understandable, and reproduceable.  

Feature Store and Data Engineering  

  • Contribute to the build and maintenance of features in the feature store: defining features, documenting refresh cadence, and ensuring feature pipelines are reliable and tested.  

  • Build and maintain training datasets with clear documentation of assumptions, evaluation windows, and limitations.  

  • Work with data engineers to ensure data models are structured to support feature engineering and model training.  

  • Ability to apply data engineering fundamentals (SQL modelling, versional control, documentation) to contribute to the feature store and build statistical models that integrate into the existing foundational tech stack. 

Job Requirements

Skills and Qualifications 

  • 4+ years of hands-on experience in data science or a role with significant applied modelling.  

  • Demonstrated experience building and deploying predictive models in a business context.  

  • Strong Python proficiency: Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models.  

  • Experience with classification and regression techniques and the ability to validate model performance using appropriate metrics (precision, recall, AUC, etc.). 

  • SQL proficiency: Able to write clean, maintainable code for supporting models in Snowflake with support from data engineers.  

  • Experience with Git and standard software development practices: version control, code reviews, branching, and CI/CD basics.  

  • Ability to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver. 

  • Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders.  

  • Collaborative working style: comfortable operating at the boundary between data engineering, data science, and business teams.  

Preferred Qualifications 

  • Experience in retail, CPG, or consumer hardware.  

  • Hands-on experience with a feature store platform.  

  • Experience with MLflow or a comparable experiment tracking tool.  

  • Familiarity with Snowpark or Snowflake ML Functions.  

  • Experience delivery model outputs that can be used in BI tools and other downstream platforms.  

Essential Job Function

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.