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Entry Level Python Data Science Jobs in Dallas, TX

Frost Bank

Data Scientist III

Dallas, TX · On-site

Master's degree in Computer Science, Data Science, Statistics, or related field * 6+ years of experience as a data scientist or in a related role * Strong programming skills in Python or R

Lantern

Data Scientist

Dallas, TX · On-site

... data science solutions. * Proficiency with Microsoft Azure technologies such as Azure Machine ... Strong programming skills in Python or PySpark. * Solid understanding of supervised + unsupervised ...

SynergisticIT

Java React Developer

Arlington, TX · On-site

$46 - $59.50/hr

Knowledge of Statistics, Python, data visualization tools * Excellent written and verbal ... entry level position each additional Technical skill helps a candidate's resume to be picked by ...

Judge Group, Inc.

DATA SCIENTIST - IV

Irving, TX · Hybrid

Well versed in statistical modeling, data science, genAI, predictive modeling, prescriptive modeling and advanced mathematics * Python-most of their code is weitten * PySpark for scaling the model

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Entry Level Python Data Science information

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$13

$57

$85

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

As of Jun 13, 2026, the average hourly pay for entry level python data science in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 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 popular job titles related to Entry Level Python Data Science jobs in Dallas, TX? For Entry Level Python Data Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Dallas, TX look for? The top searched job categories for Entry Level Python Data Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Entry Level Python Data Science jobs? Cities near Dallas, TX with the most Entry Level Python Data Science job openings:
Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Dallas, TX as of June 2026, with employment types broken down into 74% Full Time, 18% Part Time, and 8% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.
Data Scientist Engineer - SFL Scientific

Data Scientist Engineer - SFL Scientific

Deloitte

Dallas, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients navigate their most critical moments and transformational initiatives. They are seeking a Data Scientist to collaborate with clients on designing and developing innovative AI solutions and tools, while working closely with a team of interdisciplinary experts to tackle complex data challenges.
Responsibilities:
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
• Participate in client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithm via code reviews, unit, and integration tests
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
Qualifications:
Required:
• Master's or Ph.D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.)
• 2+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
• 2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
• 2+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Triton, RAPIDs, Kubeflow, and MLflow
• 2+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• 2+ years of experience working in a client-facing, consulting environment
• 1+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
• 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, agent-based tools and services, and GenAI frameworks (i.e., LangChain, LangGraph, MCP, etc.)
• 1+ year of experience with AWS Sagemaker or AWS ML Studio
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 1900, the company is headquartered in Marunouchi, JPN, with a team of 10001+ employees. The company is currently Late Stage.

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