Senior Data Analyst (Machine Learning/Automation) at Volt Addison, TX

Downtown Boulder Partnership; Addison (TX); On-site; USD 106,200 - 129,800; Full time

Benefits offered by this job

Medical & pharmacy coverage

401(k)

Job summary

Innova Solutions is seeking a Senior Data Analyst (Machine Learning/Automation) in Addison, TX to drive AI/ML initiatives. You will work with data scientists and business stakeholders to identify high-impact use cases and develop Azure ML based solutions.

The role emphasizes building ML pipelines, advancing automation, and supporting ISO-aligned quality processes in a fast-paced environment.

Qualifications

• Master's degree or higher in a quantitative field from an accredited university or equivalent experience.
• Hands-on experience deploying and managing models in Azure ML with CI/CD
• Experience in Data Science or engineering related to ML
• Proficiency with Python and/or C++ for ML pipelines
• Exposure to Azure services such as Azure AI and Data Factory is preferred.

Responsibilities

• Collaborate with stakeholders to identify AI/ML use cases and prioritize projects.
• Develop and implement ML/automation solutions in the Azure ML platform.
• Contribute to CI/CD frameworks for model testing, evaluation, and deployment.
• Assist with data extraction, NLP, and document processing tasks.
• Research and prototype LLM applications for data insights.

Skills

Azure ML

CI/CD

Python

C++

MLOps

Education

Master's degree or above in Data Science/CS/MIS/Statistics

Tools

Azure ML Studio

Azure Data Factory

Job description

Senior Data Analyst (Machine Learning/Automation) – Addison, TX

Position type: Fulltime Contract. Duration: Open Ended. Location: Dallas, TX.

Responsibilities

• Collaborate with business stakeholders and data scientists to identify and prioritize AI/ML use cases
• Understand business use cases/functionality and recommend and develop appropriate solutions in Azure ML platform
• Develop, maintain, and improve the CI/CD framework for large-scale model testing, evaluation, and optimization
• Assist with process development for document-based and web-based data extraction and natural language processing (NLP)
• Participate in researching large language models (LLMs) and its applications for data
• Develop novel solutions for automation using AI/ML technology and other new advancements in the field
• Use data technology skills to gather and understand large data sets
• Present summarized procedures, results, and business recommendations
• Mentor new hires in the team and provide guidance on associated projects
• Support and participate in the organization's Continual Improvement Program to conform to ISO 9001 and ISO 27001 requirements by complying with the Quality Policy procedures and meeting QMS and ISMS objectives
• All employees have a professional duty to provide any information related to security issues, incidents or situations that present a potential security risk to the ISO Team, Management or their Supervisor
• Other tasks and projects as directed by management

Qualifications

• Graduate degree (Master's or above) in Data Science, Computer Science, Management Information Systems, Applied Statistics or related quantitative field from an accredited university and/or equivalent work experience
• Year(s) of work experience specific to model development and deployment in Azure ML platform (CI/CD)
• Years of work experience related to Data Science or and/or engineering preferred
• Work experience with at least one of the following areas of ML: computer vision, semantic analysis, document processing and/or speech analysis
• Proficient in Azure ML Studio functionalities, MLOps pipeline and computational programming (Python, C++ etc.)
• Well versed with API management and integration with data sources in Azure ML
• Exposure to related Azure Services such as Azure AI, Data Factory etc. preferred
• Experience in supervised & unsupervised learning, deep learning, reinforcement learning, time series forecasting, Bayesian statistics, and optimization
• Ability to manage and manipulate large data sets
• Ability to interpret data and iterate approaches to identify the best ML solutions
• Demonstrate ownership and responsibility of projects with adequate research skills
• Demonstrate commitment to continuous learning and development of problem-solving skills
• Desire to succeed and assume increasing levels of leadership responsibility
• Ability to work well in a fast-paced environment with excellent verbal and written communication skills

Pay Range

Pay range: 118,000k (based on education, work experience, location, specific job duties, certifications, etc.)

Benefits

• Medical & pharmacy coverage
• Dental/vision insurance
• 401(k)
• Health Saving Account (HSA) and Flexible Spending Account (FSA)
• Life Insurance
• Pet Insurance
• Short term and Long term Disability
• Accident & Critical illness coverage
• Pre-paid legal & ID theft protection
• Sick time and other types of paid leaves (as required by law)
• Employee Assistance Program (EAP)

Equal Opportunity Statement

Innova Solutions is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Innova Solutions is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at [e-mail] or [phone]. Please indicate the specifics of the assistance needed. Innova Solutions encourages all interested and qualified candidates to apply for employment opportunities. Innova Solutions (HireGenics/Volt) does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. § 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws. Volt