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Intern Data Scientist Machine Learning Jobs in Texas

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for ...

... Machine Learning, or Data Scientist role Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression ...

Data Scientist

Irving, TX · On-site

$65 - $70/hr

We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... In this role, you will build and deploy machine learning models, design and analyze A/B tests, and ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for modeling ...

Data Scientist

Richardson, TX · On-site

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for ...

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Responsibilities Machine Learning & Data Science * Develop, evaluate, and deploy predictive and generative models for real production use cases * Perform feature engineering and data preparation for ...

SWBC is seeking a talented individual to contribute to the development of machine learning models and analytical solutions that impact business performance. The Data Scientist II will work closely ...

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

Irving, TX · On-site

$65 - $70/hr

We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... In this role, you will build and deploy machine learning models, design and analyze A/B tests, and ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statistical analysis, advanced mathematical ...

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

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Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an Intern Data Scientist specializing in Machine Learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist (Machine Learning), and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an Intern Data Scientist in Machine Learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Texas? The most popular types of Data Scientist Machine Learning jobs in Texas are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Texas? For Intern Data Scientist Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Texas look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Texas are:
What cities in Texas are hiring for Intern Data Scientist Machine Learning jobs? Cities in Texas with the most Intern Data Scientist Machine Learning job openings:
Data Scientist

Data Scientist

Inherent Technologies

Goodfellow Air Force Base, TX • On-site

Other

Posted 3 days ago


Job description

Must have skills: Data mining, Machine learning(regression and classification), prediction algorithms , data visualization, Data analysis, Big Query

Job Description: We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self-motivated, analytical problem solver who enjoys diving into data, developing algorithms, and interfacing between technical teams and business stakeholders.

Key Responsibilities:

Data Scientist will play a lead role in transforming data into actional able insights that drive the strategic decisions across the inventory and operations.

Python or similar programing language.

Strong understanding on machine learning algorithms and statical modeling.

Experience in data visualization tools.

Familiar with cloud platform- GCP.

Excellent problem solving and critical thinking skills

Strong communication and presentation skills.

Qualifications:

Data Collection and cleaning : collect data from various sources/systems and clean for analysis.

EDA ( exploratory data analysis) understand data patterns and analysis.

Modelling : design , build predictive models and machine learning algorithm to solve business problem. Validate and fine tune models to ensure scalability .

Visualization and Communication : create dashboard and visualization to communicate insights effectively.

Coloration and Strategy : work closely with cross functional team included data engineers, product managers and business team. Understand the business objective and align data science solution accordingly.

Provide strategic recommendations.