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Python Data Science Jobs in Tampa, FL (NOW HIRING)

Vika Talent Solutions

Senior Data Analytics

Tampa, FL · On-site

... data science, or media performance analytics. * Hands-on experience with Tableau and/or Power BI . * Strong experience with Python or R , SQL , predictive modeling, and data visualization.

New

Redhorse Corporation

Data Scientist

Tampa, FL · On-site

... Python, R, or Scala. • Strong experience with database languages, specifically SQL. • ... Preferred : • Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics ...

Amerilife Group, LLC

Data Scientist

Clearwater, FL · On-site

Strong Python proficiency for data analysis, modeling, and production development * Experience with Databricks notebooks, clusters, and workflows for data science and ML * Working knowledge of ...

Endurion

Data Scientist

Tampa, FL · On-site

Expert Python developer using many different machine learning and data science frameworks including TensorFlow, PyTorch, Keras, Ray, RLLib, numpy/scipy, scikit-learn, Caffe, pandas, PyMC3, and ...

AmeriLife Group, LLC

Data Scientist

Clearwater, FL · On-site

Strong Python proficiency for data analysis, modeling, and production development * Experience with Databricks notebooks, clusters, and workflows for data science and ML * Working knowledge of ...

USAA

Data Scientist Senior

Tampa, FL · On-site +1

D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related ... Python, R, and Snowflake. Experience within a large financial services, banking, insurance, or ...

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Python Data Science information

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How much do python data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python data science in Tampa, FL is $53.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $60.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are popular job titles related to Python Data Science jobs in Tampa, FL? For Python Data Science jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Tampa, FL look for? The top searched job categories for Python Data Science jobs in Tampa, FL are:
Python Data Science jobs near you

Senior Data Analytics

Vika Talent Solutions

Tampa, FL • On-site

Other

Posted 4 days ago

New

Job description

Position Summary

We are seeking a Data Science Manager to drive marketing performance through advanced analytics, predictive modeling, and data-driven insights. This role will partner with Marketing, Data Engineering, and cross-functional teams to develop dashboards, build predictive models, optimize digital campaigns, and improve customer acquisition and ROI across paid media channels.

Key Responsibilities

  • Build and maintain dashboards using Tableau and/or Power BI.
  • Develop predictive models for lead scoring, customer segmentation, propensity, and customer lifetime value (CLV).
  • Analyze marketing performance across Google Ads, Facebook/Meta, LinkedIn, and GA4.
  • Collaborate with Data Engineering to support data pipelines, model deployment, and reporting.
  • Optimize campaign performance through data-driven recommendations, attribution analysis, and A/B testing.

Required Qualifications

  • Bachelor's degree in Marketing, Data Science, Computer Science, Statistics, or a related field.
  • 6–10+ years of experience in marketing analytics, data science, or media performance analytics.
  • Hands-on experience with Tableau and/or Power BI.
  • Strong experience with Python or R, SQL, predictive modeling, and data visualization.
  • Experience with GA4, Google Ads, Facebook/Meta Ads, and marketing attribution.
  • Knowledge of Snowflake, BigQuery, Databricks, or similar cloud data platforms.
  • Experience working with CRM platforms such as Salesforce or HubSpot.
  • Excellent analytical, communication, and stakeholder management skills.


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