ZipRecruiter

Log In

2

No Experience Data Analyst Machine Learning Jobs in Texas

HonorVet Technologies

Machine Learning Data Engineer

Dallas, TX · Hybrid

$113.70K - $136.60K/yr

... no extended time off planned in December). Project Scope: * Automate the rule review process ... Proficient in Python and/or R for data analysis and model development. * Experience with ML/AI ...

Zantech

Data Analyst

San Antonio, TX · Remote

Experience with data modeling, predictive analytics, and machine learning techniques * Experience with Tableau, Power BI, or similar data visualization platforms * Working knowledge of hypothesis ...

Zantech

Data Analyst

San Antonio, TX · On-site +1

Experience with data modeling, predictive analytics, and machine learning techniques * Experience with Tableau, Power BI, or similar data visualization platforms * Working knowledge of hypothesis ...

SynergisticIT

Tableau/Power BI Analyst

Houston, TX · On-site

... Data Scientists, and Machine Learning engineers. Who Should Apply: Recent Computer science ... Candidates who lack experience or are freshers with no actual on-job experience with projects with ...

Diligent Tec, Inc.

Data Engineer (Machine Learning)

Austin, TX · Remote

$113.50K - $136.30K/yr

Data Engineer (Machine Learning) Location: 100% Remote Duration: Long Term Contract (2+ years) Role ... dataset analysis, data mining, segmentation Data visualization experience (Tableau/Kibana) is a ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

General application data and performance analysis Requirements * 2+ years experience with: * Natural language processing (NLP) * Free-text analytics * Machine learning (ML) algorithms * Predictive ...

PLANIT Group

Data Analyst

Grand Prairie, TX · Hybrid

... in AI, machine learning, and data technologies Basic Qualifications: 1) Data Analysis Experience 2) Quality Analysis Experience 3) Software and Programming Skills Experience 4) Trend Analysis ...

SynergisticIT

Data Analyst

Austin, TX · On-site

Machine Learning (supervised/unsupervised), TensorFlow, Deep Learning, NLP * Model deployment, A/B ... Anyone tired of applying with no results--and ready to change that Data roles are exploding--but ...

Purple Drive

Data Analyst

Dallas, TX · On-site

Experience with data warehousing or cloud platforms (AWS, Azure, GCP). * Knowledge of ETL tools or data pipelines. * Exposure to machine learning or predictive analytics.

next page

Showing results 1-20

People also search for

All JobsNo Experience Data Analyst Machine Learning JobsNo Experience Data Analyst Machine Learning Jobs in Texas

No Experience Data Analyst Machine Learning information

What are the key skills and qualifications needed to thrive as a No Experience Data Analyst with a focus on Machine Learning, and why are they important?

To thrive as a No Experience Data Analyst in Machine Learning, you need foundational knowledge in statistics, data interpretation, and basic programming skills, often gained through relevant coursework or online certificates. Familiarity with tools like Python, SQL, Excel, and machine learning libraries such as scikit-learn or TensorFlow is typically expected. Strong problem-solving, attention to detail, and a willingness to learn new concepts help set candidates apart in this entry-level role. These skills are vital for accurately analyzing data, building predictive models, and supporting data-driven decision-making in a rapidly evolving field.

What are some common challenges faced by entry-level data analysts working with machine learning, and how can they overcome them?

Entry-level data analysts working with machine learning often encounter challenges such as understanding complex algorithms, cleaning and preparing raw data, and interpreting model outputs. To overcome these obstacles, it's helpful to leverage online tutorials, seek mentorship from senior team members, and actively participate in team meetings to clarify doubts. Collaborating with data scientists and software engineers can also accelerate learning and help bridge gaps in technical knowledge. Emphasizing continuous learning and practicing on real datasets can further build confidence and competence in the field.

What is a No Experience Data Analyst in Machine Learning?

A No Experience Data Analyst in Machine Learning is an entry-level professional who is starting out in data analysis with a focus on machine learning concepts, but does not yet have prior work experience in the field. These analysts typically use data tools and basic machine learning techniques to clean, organize, and interpret datasets under supervision. They often learn on the job, gaining skills in data visualization, statistical analysis, and foundational machine learning algorithms. Many begin with online courses, bootcamps, or internships to build their expertise and portfolios. This role is ideal for those transitioning into tech or analytics from different backgrounds.
What are the most commonly searched types of Data Analyst Machine Learning jobs in Texas? The most popular types of Data Analyst Machine Learning jobs in Texas are:
What are popular job titles related to No Experience Data Analyst Machine Learning jobs in Texas? For No Experience Data Analyst Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching No Experience Data Analyst Machine Learning jobs in Texas look for? The top searched job categories for No Experience Data Analyst Machine Learning jobs in Texas are:
What cities in Texas are hiring for No Experience Data Analyst Machine Learning jobs? Cities in Texas with the most No Experience Data Analyst Machine Learning job openings:
No Experience Data Analyst Machine Learning jobs near you
Machine Learning Data Engineer

Machine Learning Data Engineer

HonorVet Technologies

Dallas, TX • Hybrid

$113.70K - $136.60K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position: Machine Learning Data Engineer
Location: Hybrid 2 days/week in Dallas, TX or Boston, MA
Duration: 3+ month contract; Strong potential for extension
Only W2
Overview:
Our client in the commercial banking domain is hiring two Machine Learning Data Engineers to support a high-impact initiative within the Data Quality Team. One role will focus on solution architecture, requiring experience implementing a full machine learning framework. The second will be more of an Engineer/Business Analyst hybrid, supporting the lead architect and contributing to model development and automation efforts.
These roles are part of a strategic effort to automate the review of over 25,000 data quality rules currently being manually aggregated and analyzed. The goal is to build and implement a prototype ML model by year-end, so candidates must be available for a fast-paced delivery timeline (no extended time off planned in December).
Project Scope:
  • Automate the rule review process currently handled manually using Informatica IDQ, with a transition toward Snowflake.
  • Develop and deploy a Machine Learning model to analyze rule pass/fail outcomes.
  • Improve efficiency by reducing manual resource dependency through intelligent automation.

Responsibilities:
  • Follow the company's software development lifecycle to design, code, configure, test, debug, and document system and application programs.
  • Prepare technical design specifications based on functional requirements and analysis documents.
  • Participate in architecture, design, and code reviews.
  • Collaborate with development staff to ensure quality and consistency.
  • Develop and maintain operational and system-level documentation.
  • Build and implement a prototype ML model with a quick turnaround.
  • Support scalable API integrations between internal and external systems (nice to have).

Core Requirements:
  • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
  • Proficient in Python and/or R for data analysis and model development.
  • Experience with ML/AI programming and modern machine learning standards.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and services like Lambda, S3, Azure Functions, BigQuery.
  • Familiarity with automation frameworks (e.g., Power Automate, Python scripting).
  • Understanding of data quality, management, and governance concepts.
  • Experience with Web Application Server enhancements and infrastructure standards.

Preferred Qualifications (Nice-to-Haves):
  • Experience with Informatica IDQ.
  • Familiarity with Snowflake ML libraries or programming extensions.
  • Background in designing and implementing scalable API integrations.

Soft Skills:
  • Highly motivated, proactive, and collaborative team player.
  • Able to work independently and meet tight deadlines.
  • Strong communication and problem-solving skills.
HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015

View All HonorVet Technologies Jobs

Apply