ZipRecruiter

Log In

2

Entry Level Python Data Science Jobs in Austin, TX

MedReview

Data Scientist

Austin, TX · On-site

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

MedReview

Data Scientist

Austin, TX · On-site

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

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 ...

Smadex SLU

Growth Data Scientist

Austin, TX · On-site

We are looking for a Growth Data Scientist to work closely with internal and external teams to help ... Proven working knowledge of Python, SQL and large data sets, understanding of analytic ...

next page

Showing results 1-20

People also search for

All JobsEntry Level Python Data Science JobsEntry Level Python Data Science Jobs in Austin, TX

Entry Level Python Data Science information

See Austin, TX salary details

$13

$58

$85

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

As of May 29, 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 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 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 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:
Entry Level Python Data Science jobs near you
Data Scientist

Data Scientist

MedReview

Austin, TX • On-site

Full-time

Posted 12 days ago

Job description

Position Summary:
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote.
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions.
Qualifications:
  • Master's degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.

Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

Apply