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Data Science Entry Jobs in Austin, TX (NOW HIRING)

Join us on our mission to empower more people to find their way home by breaking barriers to entry ... What You'll Bring * 5+ years in data science, with 2+ years focused on NLP, text analytics, or ...

Join us on our mission to empower more people to find their way home by breaking barriers to entry ... What You'll Bring * BS in computer science, statistics, mathematics, operations research, or ...

... re-entry and preventing quality issues at the source โ€ข Develop Model Context Protocol (MCP ... Required : โ€ข Bachelor's degree in computer science, data science, physics, mathematics, or ...

Data Engineer (Starlink)

Bastrop, TX ยท On-site

$113K - $136K/yr

... entry and preventing quality issues at the source * Develop Model Context Protocol (MCP) servers ... Bachelor's degree in computer science, data science, physics, mathematics, or another STEM ...

Obsessed by Science. Entrepreneurial by Nature. United by Purpose. Diasorin is a global leader in ... Clinical data entry and QC * Case Report Form (CRF) and query management * Select, validate, manage ...

Obsessed by Science. Entrepreneurial by Nature. United by Purpose. Diasorin is a global leader in ... Clinical data entry and QC * Case Report Form (CRF) and query management * Select, validate, manage ...

Data Engineer (Starlink)

Bastrop, TX ยท On-site

$113K - $136K/yr

... entry and preventing quality issues at the source * Develop Model Context Protocol (MCP) servers ... Bachelor's degree in computer science, data science, physics, mathematics, or another STEM ...

Data Engineer (Starlink)

Bastrop, TX ยท On-site

$113K - $136K/yr

... entry and preventing quality issues at the source * Develop Model Context Protocol (MCP) servers ... Bachelor's degree in computer science, data science, physics, mathematics, or another STEM ...

Senior Data Engineer

Austin, TX ยท On-site

$133K - $188K/yr

Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ... THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A ...

Senior Data Engineer

Austin, TX ยท On-site

$133K - $188K/yr

Partner with data scientists, data engineers, platform teams, architecture, manufacturing, and ... THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A ...

Sr Data Analyst, Seller

Austin, TX ยท On-site

$85K - $107K/yr

Join us on our mission to empower more people to find their way home by breaking barriers to entry ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related ...

Senior Data Analyst, Avail

Austin, TX ยท On-site

$85K - $107K/yr

Join us on our mission to empower more people to find their way home by breaking barriers to entry ... The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize ...

Description INTERA Incorporated is seeking an entry- to mid-level Groundwater Modeler to join our ... Apply Python, data science, automation, and other analytical tools to support modeling workflows ...

INTERA Incorporated is seeking an entry- to mid-level Groundwater Modeler to join our Austin, Texas ... Apply Python, data science, automation, and other analytical tools to support modeling workflows ...

INTERA Incorporated is seeking an entry- to mid-level Groundwater Modeler to join our Austin, Texas ... Apply Python, data science, automation, and other analytical tools to support modeling workflows ...

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Data Science Entry information

See Austin, TX salary details

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How much do data science entry jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data science entry in Austin, TX is $19.32, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

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

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What cities near Austin, TX are hiring for Data Science Entry jobs? Cities near Austin, TX with the most Data Science Entry job openings:
Infographic showing various Data Science Entry job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,186 per year, or $19.3 per hour.

Senior Data Scientist, CRM & Personalization

Realtor.com Careers

Austin, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Recognized as the No. 1 site trusted by real estate professionals, Realtor.comยฎ has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.comยฎ not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
The Senior Data Scientist, CRM Marketing, will be a key driver of data-informed customer relationship management strategies focusing on the Seller and Owner verticals. This role will leverage advanced analytical techniques to understand customer behavior, optimize marketing campaigns, personalize customer experiences, enhance lead generation and sales effectiveness, and ultimately contribute to increased customer engagement and revenue generation across both business lines. The ideal candidate will possess a strong analytical background, excellent communication skills, and a passion for leveraging data to solve complex business challenges in a dynamic real estate environment.
Top Reasons to Apply:
  • Massive, Visible Impact: We are sitting on a wealth of low-hanging fruit, meaning your work will directly drive consumer leads, retention, and revenue.
  • True Strategy & Autonomy: You won't just be crunching numbers; you will have strong autonomy over data strategy and act as a crucial partner to product stakeholders.
  • Own the Funnel Strategy: You will fill a critical gap by owning the analytical strategy for the Seller/Owner verticals, focusing on CRM channels like email and push notifications.
What You'll Do:
  • Develop and implement data-driven CRM marketing strategies including segmentation, targeting, and personalization initiatives.
  • Map and analyze the customer journey for sellers/owners identifying key touchpoints and opportunities for optimization through CRM interventions.
  • Build sophisticated segmentation models to identify and target potential audiences for specific seller/owner projects based on various data sources.
  • Design and execute personalized communication strategies and campaigns for consumers in both the Seller and Owner sectors.
  • Collaborate on the integration of CRM data with other relevant platforms to create a holistic view of the customer.
  • Establish KPIs and develop analytical frameworks to measure the effectiveness of CRM marketing campaigns across both business units, providing actionable insights for optimization.
  • Conduct in-depth analysis of consumer data to identify trends, patterns, and opportunities for improved engagement, retention, and cross-selling (where applicable).
  • Communicate complex analytical findings and recommendations clearly and effectively to both technical and non-technical stakeholders.
  • Stay abreast of the latest trends and technologies in data science, CRM marketing, and the real estate industry.
  • Collaborate with Data Engineering and IT teams to ensure data quality, accessibility, and the development of necessary data infrastructure.
  • Partner with Marketing Managers to understand their specific needs and develop tailored analytical solutions.
What You'll Bring:
  • Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related area.
  • 5 years of related experience, with 2+ years as a Data Scientist, preferably with a focus on marketing analytics or CRM.
  • Proven experience in developing and implementing data-driven marketing strategies, including segmentation, targeting, and personalization.
  • Strong proficiency in statistical modeling, machine learning techniques (e.g., regression, classification, clustering), and data mining.
  • Experience with CRM platforms (e.g., Cordial, Braze) and marketing automation tools.
  • Excellent SQL skills and experience working with large datasets.
  • Proficiency in programming languages commonly used for data analysis (e.g., Python, R).
  • Strong data visualization skills and experience with tools such as Tableau or Power BI.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Strong problem-solving and analytical skills with a demonstrated ability to translate data into actionable business insights.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Experience in the real estate industry (Rental or New Construction) is a plus.
  • Familiarity with the new homebuyer journey and related data sources is a significant advantage.
How We Work:
We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
How We Reward You:
Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location

Do the best work of your life at Realtor.comยฎ
Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.comยฎ, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.comยฎ is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.comยฎ will provide reasonable accommodations for otherwise qualified disabled individuals.