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Scientist Python Jobs in Hebron, KY (NOW HIRING)

Diverse Lynx

Sr Data Scientist

Cincinnati, OH · On-site

Diverse Lynx is a company seeking a Sr Data Scientist to enhance customer experiences through ... Python and Spark for data analysis and manipulation. • Experience working with Databricks is a ...

84.51˚

Lead Data Scientist (P3764)

Cincinnati, OH · On-site

... Python and SQL, with experience working on large-scale data using tools such as Spark. • ... data science, engineering, and product teams. • Experience mentoring or guiding other data ...

84.51˚

Director Data Science (P2415)

Cincinnati, OH · On-site

... Python to develop analytical solutions • 7+ years with data wrangling, data cleaning and prep ... science capabilities to supply chain and operations business problems • Ability to work in a ...

Varsity Tutors

Data Science Tutor

Cincinnati, OH · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Diverse Lynx

ML Engineering Delivery

Cincinnati, OH · On-site

Translate Data Science prototypes into robust, maintainable services and workflows with strong ... Python (required) SQL optional JavaScala * ML: MLOps MLflow (or equivalent), model registry ...

84.51°

Director Data Science (P2415)

Cincinnati, OH · On-site

Proficient in technology stack (Azure, Databricks, Python, Spark) * Experience applying data science capabilities to supply chain and operations business problems * Experience with developing ...

Diverse Lynx

ML Engineering Delivery

Blue Ash, OH · On-site

... Science prototypes into robust, maintainable services and workflows with strong testing ... Languages Python (required) SQL optional JavaScala MLMLOps MLflow (or equivalent), model registry ...

Deloitte

AI and Data Science Engineer III

Cincinnati, OH

$109K - $131K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

Hudson Manpower

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

... scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank. You should have solid SQL and Python skills, a ...

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All JobsScientist Python JobsScientist Python Jobs in Hebron, KY

Scientist Python information

See Hebron, KY salary details

$36.2K

$118.3K

$189.4K

How much do scientist python jobs pay per year?

As of Jun 17, 2026, the average yearly pay for scientist python in Hebron, KY is $118,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $131,100.00 per year, depending on experience, location, and employer.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Skilled proficiency in data analysis, machine learning, and relevant tools like Pandas and TensorFlow can influence earning potential.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

Are Python coders still in demand?

Python programmers, including those in scientific roles, are currently in high demand across industries such as data analysis, machine learning, and automation. Proficiency in libraries like NumPy, Pandas, and frameworks like TensorFlow enhances job prospects, and demand is expected to remain strong due to Python's versatility and widespread use in technology and research environments.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

Is Python a high paying job?

A Python developer or scientist role is generally considered well-paying within the tech industry, especially for those with strong programming skills, experience, and knowledge of data analysis or machine learning. Salaries vary based on location, experience, and industry, but Python-related roles tend to offer competitive compensation compared to many other programming jobs.

What is the highest salary in Python?

For a Python scientist or developer, the highest salaries are typically found in senior roles, specialized fields like machine learning or data engineering, and in high-cost living areas. Experienced professionals with advanced skills and certifications can earn over $150,000 annually, with some top-tier positions reaching $200,000 or more.

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

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Hebron, KY? For Scientist Python jobs in Hebron, KY, the most frequently searched job titles are:
Scientist Python jobs near you

Senior Data Scientist - Predictive Analytics

Great American Insurance Group

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

53rd of 261 rated insurance

Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
Join our Predictive Analytics team within the Business Data & Analytics department! opportunity to work within a highly collaborative team of data professionals focused on solving critical business challenges in the insurance industry. The roles emphasize intellectual growth, innovation, and the practical application of cutting-edge AI technologies to drive business value.
Great American Insurance Group is committed to fostering professional growth through exposure to emerging technologies, cross-functional collaboration, and opportunities to contribute to strategic AI initiatives that shape the future of the insurance industry.
This position is located in our Cincinnati office and will work on a hybrid schedule. Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions and Responsibilities
  • Leads the analysis of large, complex datasets to identify advanced trends, patterns, and strategic opportunities
  • Architects and leads the design, development, and deployment of sophisticated predictive models for underwriting, pricing, claims, and customer retention
  • Serves as technical lead for advanced LLM implementations, including custom transformer architectures, advanced fine-tuning strategies, and novel generative AI applications
  • Designs and implements complex RAG and Agentic systems with multi-modal capabilities and advanced reasoning
  • Designs and develops evaluation pipelines to assess the quality and effectiveness of Generative AI outputs
  • Leads Vision Language Model initiatives and advanced computer vision projects using OpenCV and cutting-edge Vision AI technologies
  • Mentors junior data scientists and provides technical guidance on complex modeling projects
  • Drives innovation by exploring new data sources, advanced modeling techniques, and emerging AI technologies
  • Collaborates with senior leadership and cross-functional teams to translate complex business challenges into scalable AI solutions
  • Designs and implements enterprise-level data pipelines and automated reporting tools
  • Establishes model governance frameworks and ensures compliance with regulatory requirements
  • Communicates complex technical concepts and strategic recommendations to C-level executives through compelling presentations
  • Monitors and optimizes model performance across the enterprise and ensures data quality at scale
  • May have responsibility for performance coaching of staff and participatory role in talent selection and development
  • Drives AI strategy and roadmap development for the Predictive Analysis team
  • Performs other duties as assigned

Job Requirements
  • Education: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Statistics, or related quantitative field required. Master's or PhD in related field strongly preferred.

  • Experience: 5-6 years of progressive experience in data science and machine learning, with at least 2 years leading complex AI/ML projects and mentoring junior team members.

Required Technical Skills:
  • Advanced Generative AI & LLM Leadership: • Expert-level knowledge of Large Language Models and generative AI architectures • Advanced experience with transformer models, attention mechanisms, and custom model development • Proven track record in BERT, GPT, and other foundation model implementations • Advanced fine-tuning techniques including LoRA, QLoRA, and parameter-efficient methods • Expert-level RAG system design and Agentic RAG implementation • Experience with multi-agent systems and AI orchestration frameworks

  • Advanced Vision AI & Computer Vision: • Expert proficiency in OpenCV and advanced computer vision techniques • Leadership experience with Vision Language Models and multi-modal AI systems • Advanced image processing, object detection, and video analysis • Integration of vision, language, and reasoning capabilities

  • Senior Technical Leadership: • Expert Python programming with deep knowledge of AI/ML ecosystems • Advanced experience with PyTorch, TensorFlow, and HuggingFace transformers • Database optimization and advanced SQL techniques • MLOps and model lifecycle management

  • Cloud & Enterprise Data Platforms: • Advanced Microsoft Azure architecture and AI services • Expert-level Snowflake implementation including: - Advanced Snowflake SQL and performance optimization - Snowflake Cortex AI/ML advanced features and custom implementations - Snowflake Intelligence advanced analytics and semantic search optimization - Snowflake data sharing and marketplace integration • Enterprise data pipeline architecture and governance

  • Leadership & Strategic Competencies: • Advanced statistical modeling and mathematical foundations • Enterprise model deployment and production optimization • Advanced data visualization and executive-level presentation skills • Deep understanding of insurance industry regulations and model governance • Proven leadership and mentoring abilities • Strategic thinking and AI roadmap development • Cross-functional collaboration and stakeholder management

Scope of Job/Qualifications:
Leads complex to large-scale AI/ML projects with enterprise impact. Proven expertise in optimizing advanced models and implementing cutting-edge machine learning solutions. Demonstrates deep understanding of the organization's business and technology operations with ability to drive strategic AI initiatives. Shows comprehensive knowledge of industry trends, regulatory requirements, and emerging technologies in insurance and AI.
Business Unit:
Business Data and Analytics
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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