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Senior Data Scientist Jobs in Spring, TX (NOW HIRING)

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on ...

Senior Data Scientist Houston, TX Description: We are looking for a candidate with the ability to translate a business question into a data science solution. This requires that you have next to your ...

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production ...

Senior Data Scientist - AI & Customer Operations Analytics Location: Houston, TX 4 days onsite. Fridays are remote. Department: Customer Success, Continuous Improvement & AI Transformation Reports To:

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production ...

Senior Data Scientists at Corva operate with a high degree of autonomy, influence technical direction, mentor junior team members, and help define best practices in modeling, experimentation, and ...

In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand ...

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... Bachelor's degree in Computer Science, Data Science, or related field * 8+ years of work experience ...

Sr. Data Analyst Snowflake

Houston, TX · On-site

$82K - $103K/yr

Senior Data Analyst -Snowflake Location: Houston TX - Onsite Duration: Full time /Direct Hire Job ... Collaborate with business analysts, data scientists, and other stakeholders to understand business ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

We are seeking a highly analytical Senior Data Analyst to transform complex business data into ... Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics ...

Data Scientist

Houston, TX · Hybrid

$110K - $120K/yr

Additionally, the Data Scientist contributes to promoting reproducible research methodologies and a consistent advanced analytics framework across the team, leveraging domain expertise in higher ...

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative ...

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Senior Data Scientist information

See Spring, TX salary details

$35.1K

$120.6K

$170.1K

How much do senior data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior data scientist in Spring, TX is $120,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $140,900.00 per year, depending on experience, location, and employer.

What are some of the main challenges Senior Data Scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data scientist; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What does a senior data scientist make?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have advanced skills in machine learning, statistical analysis, and programming languages like Python or R, and may also receive bonuses or stock options.

What does a Senior Data Scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What Is a Senior Data Scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

More about Senior Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Spring, TX? The most popular types of Data Scientist jobs in Spring, TX are:
What are popular job titles related to Senior Data Scientist jobs in Spring, TX? For Senior Data Scientist jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Spring, TX look for? The top searched job categories for Senior Data Scientist jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Data Scientist jobs? Cities near Spring, TX with the most Senior Data Scientist job openings:
Infographic showing various Senior Data Scientist job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,583 per year, or $58 per hour.
Senior Data Scientist

Senior Data Scientist

W3Global

Houston, TX • On-site

Other

Posted 8 days ago


Job description

Role: Senior Data Scientist - GenAI / RAG

Location: Houston, TX (Onsite - 5 Days)

Type: Full-Time

Job Description:

We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate should not be purely academic or junior; we need someone with practical implementation experience and the ability to interact confidently with customers. Strong communication and product-facing exposure are equally important.

Key Responsibilities:

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces

Work closely with client data science teams (ML/DL ecosystems)

Develop GenAI-based enterprise knowledge solutions

Collaborate directly with stakeholders and customers

Mandatory Skills

Strong experience in:

Machine Learning (ML)

Deep Learning (DL):

Hands-on experience with:

Generative AI (LLMs, RAG systems)

Exposure to:

Claude / Anthropic-based development (or similar GenAI tools)

Strong communication & client-facing capability

Good to Have

Basic exposure to: Agentic AI / Agent APIs

Domain experience in: Oil & Gas / Energy sector

Tech Environment: AWS ecosystem, Snowflake (data platform)


W3Global logo

About W3Global

Sourced by ZipRecruiter

W3Global has been delivering staffing solutions for nearly two decades; we know which recruiting strategies work best. Our expert team is committed to developing a customized solution to fit your company’s unique needs. As a W3Global client, you’ll also receive personalized assistance from a seasoned team of staffing specialists. We are committed to providing both technical support and industry expertise to simplify the hiring process. We know that your time matters. W3Global will help you streamline the hiring process, getting it done and getting it right.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Frisco, TX, US

Year founded

2006