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Scientist Python Jobs in Delray Beach, FL (NOW HIRING)

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

Showing results 41-60

Scientist Python information

See Delray Beach, FL salary details

$35.2K

$115.3K

$184.5K

How much do scientist python jobs pay per year?

As of Aug 9, 2026, the average yearly pay for scientist python in Delray Beach, FL is $115,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,700.00 per year, depending on experience, location, and employer.

How does a Scientist Python 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.

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?

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.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

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.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What job categories do people searching Scientist Python jobs in Delray Beach, FL look for? The top searched job categories for Scientist Python jobs in Delray Beach, FL are:
What cities near Delray Beach, FL are hiring for Scientist Python jobs? Cities near Delray Beach, FL with the most Scientist Python job openings:
Infographic showing various Scientist Python job openings in Delray Beach, FL as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $115,252 per year, or $55.4 per hour.

Sr. Data & AI Strategist - AI & Advanced Analytics

Kforce Technology Staffing

Deerfield Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data & AI Strategist -AI and Advanced Analytics in Deerfield Beach, Fl.
Duties Include:
* Lead data science enablement across business groups: training, coaching, and workshop follow-through that helps stakeholders interpret and act on ML models, forecasts, and optimization outputs - converting AI and analytics products into active, governed usage
* Partner with senior data scientists: translate complex models, statistical outputs, and optimization recommendations (demand forecasting, logistics planning, supply chain optimization) into language executives and frontline users both understand
* Engage leadership directly: act as a credible, leadership-facing advocate who frames AI and analytics products around business decisions and P&L impact, and secures executive sponsorship for sustained adoption
* Build reusable assets: decision playbooks, model interpretation guides, prompt and skill libraries, templates, and accelerators that grow a self-sufficient community of model consumers
* Coordinate delivery across the AI and analytics portfolio: partner with data scientists, architects, business stakeholders, and IT to track adoption, manage dependencies, facilitate follow-ups, and support project management activities across models, dashboards, data assets, and adoption initiatives
* Support governance and safe scaling: monitor usage and adoption, ensure outputs are interpreted and applied correctly, and help steward the underlying data assets - upholding data quality, model governance, data security, and responsible-use practices as the consumer community grows
REQUIREMENTS:
* 6-10 years of experience in consulting, business analysis, or solution delivery, with a proven track record advising and enabling business users on AI, analytics, data, or decision-support products
* Demonstrated success driving adoption of data science, advanced analytics, or AI outputs in a business setting
* Ability to interpret and clearly explain machine learning outputs - forecasts, optimization recommendations, and statistical results - to non-technical audiences without misrepresenting them
* Strong facilitation and consulting skills: running workshops, mapping decisions, and translating AI and analytics outputs into practical, adopted business actions
* Excellent stakeholder communication; Credible and comfortable operating in a leadership-facing capacity with both executives and frontline users
* Ability to leverage AI tools to code (e.g., Python, SQL) sufficient to explore data, validate model outputs, and prototype enablement assets - preferred, but not required for this role
* Prior experience in a Center of Excellence or enablement function scaling analytics or AI across an enterprise
* Familiarity with the Microsoft AI and analytics stack (Microsoft Fabric, Power BI, Azure ML, Azure AI Foundry, Microsoft Purview) and how data and models move from development into production consumption
* Experience partnering with data science teams to operationalize demand forecasting, optimization, or supply chain AI and analytics
* Automotive, distribution, supply chain, or field-operations domain experience
One or more current Microsoft Learn credentials, such as:
* Microsoft Certified: Power BI Data Analyst Associate (PL-300)
* Microsoft Certified: Azure AI Fundamentals (AI-900)
* Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
* Microsoft Certified: Azure Data Scientist Associate (DP-100)
* Microsoft Certified: Azure AI Engineer Associate (AI-102)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.