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Entry Level Python Data Science Jobs in Austin, TX

Visa

Data Scientist

Austin, TX · On-site

$123K/yr

... science, mathematics, statistics, economics, computer science, engineering, or other related ... Excellent understanding of algorithms and data structures and proficiency in Python and SQL.

Visa

Data Scientist

Austin, TX · On-site

$123K/yr

... in data science, mathematics, statistics, economics, computer science, engineering, or other ... in Python and SQL. • Experience working with large datasets using tools and Hadoop, Spark, or ...

Visa

Data Scientist, FeatureSpace

Austin, TX · Hybrid

Providing input into future data science strategy and product development * Building advanced ... Python, Java, R or other programming language for data analysis, machine learning or algorithm ...

Capgemini

GCP Data Scientist

Austin, TX

$76K - $187K/yr

... Science, Data Analytics teams) * Be an active participant and advocate of agile/scrum practice to ... String Python programming skills * Strong Skills on build Airflow Jobs and Debug issues * Ability ...

Pwc

AI & GenAI Data Scientist - Manager

Austin, TX · On-site

$99K - $232K/yr

... Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

LivaNova

Data Analyst

Austin, TX

$70K - $100K/yr

... Science team across post-market surveillance, manufacturing, R&D, and clinical data sources. The ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

New

Incedo

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Company Overview Incedo is a US-based consulting, data science and technology services firm with ... Develop and optimize PySpark and Python-based ETL/ELT workflows for ingesting, transforming, and ...

Shipwell

Senior Data Scientist

Austin, TX · On-site

Bachelor's degree in mathematics/statistics, engineering, computer science, or other technical ... R, Python, Matlab) * Experience with ETL processes for manipulating data sets * Detail-oriented ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

... data science, AI and operational workflows. This role requires deep technical expertise in cloud ... Python, and Snowflake. • Build and optimize data models (star/snowflake schemas, dimensional ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

... data science, AI and operational workflows. This role requires deep technical expertise in cloud ... Python, and Snowflake. • Build and optimize data models (star/snowflake schemas, dimensional ...

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Entry Level Python Data Science information

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

As of Jun 19, 2026, the average hourly pay for entry level python data science in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 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 Austin, TX? The most popular types of Python Data Science jobs in Austin, TX are:
What are popular job titles related to Entry Level Python Data Science jobs in Austin, TX? For Entry Level Python Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Austin, TX look for? The top searched job categories for Entry Level Python Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Python Data Science jobs? Cities near Austin, TX with the most Entry Level Python Data Science job openings:
Entry Level Python Data Science jobs near you
Machine Learning Engineer - Strategic Data Solutions

Machine Learning Engineer - Strategic Data Solutions

Apple

Austin, TX

$113K - $136K/yr

Full-time

Posted 12 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do!
At Apple, new ideas have a way of quickly becoming outstanding products, services, and customer experiences. Bring passion and dedication to your career, and there's no telling what you could accomplish! Strategic Data Solutions empowers internal partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency. Our work touches all parts of Apple, from manufacturing to fulfillment to apps and services. The enormous scale and complexity of the problems and our data present exciting opportunities for pushing the limits of existing data science methods.
As a SDS Machine Learning Engineer, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.
Our commitment to you: We will provide challenging problems that will engage your curiosity. We will provide an organizational culture that values collaboration, problem-solving, and work-life balance. We will provide mentorship to further develop your technical and leadership skills.
Description
• Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc
• Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions
• Collaborate with technical partners to implement robust real-time and batch decisioning in production
• Create reporting and monitor decisioning quality to maintain operational and business metric health
• Investigate trends, assess threat impact, and respond with agile logic changes
• Communicate with stakeholders with varying technical backgrounds and business priorities about your work
• Share what you're learning about novel technologies and methods (in data science, machine learning, data engineering, and software engineering, etc) to improve your team's overall technical capabilities
Preferred Qualifications
Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
Ability to use a querying language such as SQL to extract insights from data
Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact
Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions
Team-oriented skills and values to facilitate effective collaboration with business and technical partners
Minimum Qualifications
Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor’s degree with equivalent experience
At least 3 years of practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions
Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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