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Entry Level Python Data Science Jobs in Orlando, FL

TechOps - Data Science Reports to: Manager, Data Analytics Location: On-Site FLSA Status: Exempt ... Experience with Snowflake, Confluent, Python, or other modern data tools is helpful, but not ...

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

... data science, or a related analytical role * Advanced skills in SQL, Python and/or R * Familiarity in visualization tools such as Tableau, Looker, etc. * Familiarity in using GitHub for version ...

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The Data Engineer will partner with a wide range of business teams to implement analytical and data ... science required * Master's degree preferred. * Snowflake and Python certification preferred but ...

Java, Python, C, C#, C , JavaScript, R, SQL, MATLAB, Mathematica, TypeScript, Shell scripting, Go ... A recent STEM degree (e.g., Computer Science, Information Technology, Engineering, or a related ...

PCA Data Engineer

Orlando, FL

$106K - $128K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

... in MIS, Computer Science, Business, Mathematics or Engineering) The responsibilities of the ... Experience with Python, Scala or Java * Knowledge of restaurant or retail business SKILLS AND ...

... data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors ... Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant ...

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Entry Level Python Data Science information

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$54

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How much do entry level python data science jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for entry level python data science in Orlando, FL is $54.72, according to ZipRecruiter salary data. Most workers in this role earn between $45.10 and $62.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Orlando, FL? The most popular types of Python Data Science jobs in Orlando, FL are:
What are popular job titles related to Entry Level Python Data Science jobs in Orlando, FL? For Entry Level Python Data Science jobs in Orlando, FL, the most frequently searched job titles are:
What cities near Orlando, FL are hiring for Entry Level Python Data Science jobs? Cities near Orlando, FL with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in Orlando, FL as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $113,826 per year, or $54.7 per hour.

Junior Data Analyst

OneRail

Orlando, FL • On-site

$77K/yr

Full-time

Posted 9 days ago


Key responsibilities

  • Build, update, and maintain Power BI reports and dashboards that support business, operational, and performance reporting needs.

  • Write and modify SQL queries to retrieve, analyze, and validate data used in dashboards, reports, and ad hoc requests.

  • Assist with recurring reporting processes, including data refreshes, report validation, issue investigation, and stakeholder follow-up.


Job description

Department: TechOps - Data Science
Reports to: Manager, Data Analytics
Location: On-Site
FLSA Status: Exempt
Overview
Joining OneRail as a Junior Data Analyst means becoming part of a team focused on turning data into clear, useful reporting that helps internal teams make better decisions. You will work closely with teams across Transportation, Operations, Sales, Marketing, Finance, IT, and other departments to understand reporting needs, troubleshoot data questions, improve visibility into key metrics, and help strengthen OneRail's analytics capabilities.
This role places a strong emphasis on Power BI reporting, dashboard maintenance, SQL-based analysis, documentation, and process improvement. Experience with Snowflake, Confluent, Python, or other modern data tools is helpful, but not required.
Responsibilities
  • Build, update, and maintain Power BI reports and dashboards that support business, operational, and performance reporting needs.
  • Assist with recurring reporting processes, including data refreshes, report validation, issue investigation, and stakeholder follow-up.
  • Write and modify SQL queries to retrieve, analyze, and validate data used in dashboards, reports, and ad hoc requests.
  • Support internal teams by helping answer data questions, troubleshoot reporting issues, and clarify metric definitions.
  • Partner with business stakeholders to gather reporting requirements and translate them into practical dashboards, report updates, or analysis requests.
  • Monitor report accuracy and data quality, escalating issues and helping investigate inconsistencies when they arise.
  • Create and maintain documentation for reports, dashboards, datasets, metrics, processes, and reporting logic.
  • Help improve reporting processes by identifying opportunities to reduce manual work, standardize outputs, and improve usability.
  • Support the development of self-service reporting capabilities by organizing reports, improving documentation, and helping users understand available data.
  • Collaborate with analysts, technical teams, and business users to improve reporting standards and analytics best practices.
Qualifications
  • 0-2 years of experience in data analysis, business intelligence, reporting, operations analytics, or a related role.
  • Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Statistics, Mathematics, Computer Science, Finance, Supply Chain, or a related field; equivalent practical experience may also be considered.
  • Experience creating, updating, or maintaining reports, dashboards, or data visualizations.
  • Foundational Power BI experience, including working with visuals, report pages, filters, datasets, or measures.
  • Foundational SQL skills, including the ability to query, filter, join, and summarize data.
  • Proficiency with Microsoft Excel or similar spreadsheet tools for data review, validation, and analysis.
  • Strong attention to detail and commitment to producing accurate, reliable reporting.
  • Strong analytical and problem-solving skills, with the ability to investigate data issues and identify patterns or inconsistencies.
  • Ability to organize information clearly and document reporting logic, definitions, and processes.
  • Strong verbal and written communication skills, including the ability to explain data concepts to non-technical audiences.
  • Ability to manage multiple tasks, prioritize requests, and work effectively in a fast-paced environment.
  • Collaborative mindset with a willingness to support teams across the organization.
Preferred Qualifications
  • Experience in SaaS, supply chain, logistics, transportation, operations, or another fast-paced business environment.
  • Experience with Power Query, DAX, semantic models, or Power BI dataset design.
  • Exposure to Snowflake or other cloud data platforms.
  • Exposure to Python or other scripting languages for data analysis, transformation, or automation.
  • Familiarity with Confluent, event-streaming platforms, or data pipeline concepts is a plus, but not required.
  • Familiarity with KPI development, data quality checks, dashboard design, or reporting documentation.
  • Experience supporting internal stakeholders with recurring reports, dashboard requests, or operational analysis.
  • Exposure to process improvement, reporting standardization, or self-service business intelligence initiatives.
  • Relevant coursework, internship experience, certifications, or portfolio projects in analytics, business intelligence, SQL, Power BI, or data visualization.
Work Location
On-Site
On-Site Roles: This position is based at OneRail's headquarters in Orlando, FL (ZIP 32819). While on-site presence may be required, remote candidates will be considered, with preference given to those located in the Central Florida area.
Compensation Band 3: Q1 $56,000, Q2 $63,000 Midpoint: $70,000,Q4 $77,000
Company target salary $56,000 - $70,000
About OneRail
OneRail is a leading omnichannel fulfillment solution pairing best-in-class software with logistics as a service to provide dependability and speed to help businesses meet their delivery promise. With a real-time connected network of 12 million drivers, OneRail matches the right vehicle for the right delivery so brands lower expenses and increase capacity to rapidly scale their businesses. This people-plus-platform approach features a 24/7 USA-based exceptions team who maintain a 98% on-time delivery rate. By optimizing fulfillment processes, reducing costs and improving order accuracy with store-shelf-to-doorstep visibility, OneRail is committed to empowering clients and improving the customer experience.
OneRail was named to the Deloitte Technology Fast 500™ two years in a row, was ranked 19th in the 2025 FreightTech 25, named for the fifth year in a row to the FreightTech 100, was honored as one of Inc. magazine's Best Workplaces 2023, was listed on Forbes' lists of America's Best Startup Employers for the last three years, was named to the Inc. 5000 two years in a row and was selected as the Last Mile Company of the Year for the 2024 SupplyTech Breakthrough Awards. To learn more about OneRail, visit OneRail.com.