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Senior Data Science Analytics Jobs in Texas (NOW HIRING)

Sr. Data Scientist

Fort Worth, TX · On-site

$75 - $80/hr

The ideal candidate will have a strong background in data science, machine learning, and Python ... Analyze large datasets to extract meaningful insights and drive decision-making processes. * Stay ...

Next to the data science capabilities and experiences you should be able to clearly and effectively ... Documenting and explaining the results of analysis or modelling to both a technical and non ...

They are seeking a Senior Data Scientist to analyze complex data sets and collaborate with the ML ... Science). • Strong problem-solving skills, ability to formulate questions, run analysis to ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science ...

Senior Data Analyst

San Antonio, TX

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science ...

Showing results 21-40

Senior Data Science Analytics information

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

What are the most commonly searched types of Data Science Analytics jobs in Texas? The most popular types of Data Science Analytics jobs in Texas are:
What cities in Texas are hiring for Senior Data Science Analytics jobs? Cities in Texas with the most Senior Data Science Analytics job openings:

Senior Data Scientist- Gen AI

Tiger Analytics Inc.

Dallas, TX • On-site

Full-time

Re-posted 8 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision.

Key Responsibilities

  • Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques.
  • Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs)
  • Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience.
  • Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value.
  • Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications
  • Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives

Requirements

  • 6-10 years of professional experience as a Data Scientist or in a closely related role
  • Strong Problem-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques
  • Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases
  • Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development
  • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
  • Curiosity and Continuous Learning: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI
  • Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact
  • Strong Communication: Ability to articulate complex technical concepts to both technical and non-technical audiences.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.