Food & Beverage STEM OPT Jobs in Texas
Food & beverage F-1 STEM OPT sponsorship jobs in Texas span supply chain analytics, food science, and quality assurance roles at companies like Sysco, Dean Foods, and Whole Foods Market. Houston, Dallas, and Austin host significant food manufacturing and distribution operations, making Texas one of the more active states for STEM-designated roles in this industry.
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Get Access To All JobsReq ID: 269934
General Purpose
The Advanced Analytics Translator is expected to play the role of an integrator between the technical and business roles in an Advanced Analytics project, and be proficient across Data, Analytics, and business acumen. They help define business problems that analytics can help solve, guide technical teams in the creation of analytics-driven solutions to these problems, and embed solutions into business operations.
Duties and Responsibilities
- Bridging the technical expertise of data engineers, architects, and scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and frontline functions. Connecting technical teams (data engineering, scientist) with business and operational stakeholders to identify opportunities, define requirements, and deliver data-driven solutions that address key business needs.
- Lead cross-functional teams to ensure proper understanding of business/functional requirements for data science projects, including the scoping and structuring of data related activities.
- Work with data engineers and data scientists to understand data requirements and problem solve on best practice data structures.
- Understand pros and cons of different analytics approaches, explain advanced algorithms, e.g., econometrics, driver regressions, machine learning etc. in simple terms and perform quality control on analytical outputs, providing targeted input and improvements to algorithms chosen.
- Ensure that the Advanced Analytics solutions developed are deployed and operated in their totality by product owners, with the appropriate follow-up to sustain them, channeling improvements, and maintenance with the technical team.
- Conduct project reviews, feasibility, prioritization, initiation, execution, and user acceptance for all project work related to advanced analytics.
- Measure and communicate the outcomes of the Advanced Analytics projects to different levels of audiences.
- Develop or have deep industry expertise and understand current state of analytics more broadly to be able to apply techniques from across industries.
- Act as an ambassador for Advanced Analytics in the organization, creating awareness of the benefits the area brings to the company.
- Evaluate the multiple mathematical and statistical models and methodologies applied by the technical roles of Advanced Analytics to provide factual recommendations and ensure the outputs fulfill the business’ needs.
- Conduct data analysis to identify trends, patterns, risks, and opportunities, providing actionable insights and recommendations that enable data-driven decision-making across the business.
Qualifications
- Bachelor’s degree in relevant field: Engineering, Computer science, Mathematics, Statistics. Graduate Degree preferred. Bachelor’s degree in Business, Analytics, Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related field. Advanced degree preferred.
- 3 plus years of work experience required working in a data-centric business environment. 3+ years of experience in analytics, business intelligence, data translation, consulting, or a data-driven business environment.
- Strong business and operational knowledge, desirably from working directly with the operations. Strong business acumen with the ability to understand business processes, identify opportunities, and translate business needs into data, analytics, and technology requirements.
- Strong consultative communication skills, preferably diagnosing data to develop successful growth strategies with clients. Strong communication, facilitation, and stakeholder management skills, with the ability to explain technical concepts and analytical findings to non-technical audiences.
- Familiarity with Advanced Analytics tools such as: Scala, R, Python, SQL, Matlab, SAS, SPSS, Minitab, Hive, Hadoop, Pig, Tableau, Spotfire, etc. Proficiency in SQL and experience using analytics and visualization tools such as Power BI, ThoughtSpot, Python, or similar platforms.
- Knowledge in Statistics, Big Data, Machine Learning, Data Science, IoT. Experience analyzing large and complex datasets to identify trends, opportunities, risks, and actionable business insights.
- Working knowledge of statistics, predictive analytics, machine learning, and data science concepts, with the ability to evaluate and communicate analytical approaches and results.
- Familiarity with predictive statistical models, machine learning, cloud computing, consumer and syndicated data, marketing practices etc. Familiarity with data management concepts, including data modeling, data quality, governance, and cloud-based data platforms.
- Proven comfort and an intellectual curiosity for working with large sets of data, pulling in relevant team members to address identified and sometimes undiscovered needs.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at talentacquisition@cocacolaswb.com if you need assistance completing this application or to otherwise participate in the application process.
Know Your Rights dol.gov
Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
Req ID: 269934
General Purpose
The Advanced Analytics Translator is expected to play the role of an integrator between the technical and business roles in an Advanced Analytics project, and be proficient across Data, Analytics, and business acumen. They help define business problems that analytics can help solve, guide technical teams in the creation of analytics-driven solutions to these problems, and embed solutions into business operations.
Duties and Responsibilities
- Bridging the technical expertise of data engineers, architects, and scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and frontline functions. Connecting technical teams (data engineering, scientist) with business and operational stakeholders to identify opportunities, define requirements, and deliver data-driven solutions that address key business needs.
- Lead cross-functional teams to ensure proper understanding of business/functional requirements for data science projects, including the scoping and structuring of data related activities.
- Work with data engineers and data scientists to understand data requirements and problem solve on best practice data structures.
- Understand pros and cons of different analytics approaches, explain advanced algorithms, e.g., econometrics, driver regressions, machine learning etc. in simple terms and perform quality control on analytical outputs, providing targeted input and improvements to algorithms chosen.
- Ensure that the Advanced Analytics solutions developed are deployed and operated in their totality by product owners, with the appropriate follow-up to sustain them, channeling improvements, and maintenance with the technical team.
- Conduct project reviews, feasibility, prioritization, initiation, execution, and user acceptance for all project work related to advanced analytics.
- Measure and communicate the outcomes of the Advanced Analytics projects to different levels of audiences.
- Develop or have deep industry expertise and understand current state of analytics more broadly to be able to apply techniques from across industries.
- Act as an ambassador for Advanced Analytics in the organization, creating awareness of the benefits the area brings to the company.
- Evaluate the multiple mathematical and statistical models and methodologies applied by the technical roles of Advanced Analytics to provide factual recommendations and ensure the outputs fulfill the business’ needs.
- Conduct data analysis to identify trends, patterns, risks, and opportunities, providing actionable insights and recommendations that enable data-driven decision-making across the business.
Qualifications
- Bachelor’s degree in relevant field: Engineering, Computer science, Mathematics, Statistics. Graduate Degree preferred. Bachelor’s degree in Business, Analytics, Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related field. Advanced degree preferred.
- 3 plus years of work experience required working in a data-centric business environment. 3+ years of experience in analytics, business intelligence, data translation, consulting, or a data-driven business environment.
- Strong business and operational knowledge, desirably from working directly with the operations. Strong business acumen with the ability to understand business processes, identify opportunities, and translate business needs into data, analytics, and technology requirements.
- Strong consultative communication skills, preferably diagnosing data to develop successful growth strategies with clients. Strong communication, facilitation, and stakeholder management skills, with the ability to explain technical concepts and analytical findings to non-technical audiences.
- Familiarity with Advanced Analytics tools such as: Scala, R, Python, SQL, Matlab, SAS, SPSS, Minitab, Hive, Hadoop, Pig, Tableau, Spotfire, etc. Proficiency in SQL and experience using analytics and visualization tools such as Power BI, ThoughtSpot, Python, or similar platforms.
- Knowledge in Statistics, Big Data, Machine Learning, Data Science, IoT. Experience analyzing large and complex datasets to identify trends, opportunities, risks, and actionable business insights.
- Working knowledge of statistics, predictive analytics, machine learning, and data science concepts, with the ability to evaluate and communicate analytical approaches and results.
- Familiarity with predictive statistical models, machine learning, cloud computing, consumer and syndicated data, marketing practices etc. Familiarity with data management concepts, including data modeling, data quality, governance, and cloud-based data platforms.
- Proven comfort and an intellectual curiosity for working with large sets of data, pulling in relevant team members to address identified and sometimes undiscovered needs.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at talentacquisition@cocacolaswb.com if you need assistance completing this application or to otherwise participate in the application process.
Know Your Rights dol.gov
Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
STEM OPT Food & Beverage Job Roles in Texas
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Search Food & Beverage Jobs in TexasFood & Beverage STEM OPT Sponsorship Jobs in Texas: Frequently Asked Questions
Which food & beverage companies sponsor F-1 STEM OPT visas in Texas?
Texas-based food and beverage employers with documented STEM OPT sponsorship history include Sysco Corporation, headquartered in Houston, along with regional processors, beverage distributors, and agri-food manufacturers concentrated in the Dallas-Fort Worth corridor. Large national brands with Texas operations, such as PepsiCo and Kraft Heinz, also hire STEM-designated roles in supply chain optimization, data analytics, and food engineering that qualify for the 24-month STEM OPT extension.
Which cities in Texas have the most food & beverage F-1 STEM OPT sponsorship jobs?
Houston leads due to its concentration of food distribution headquarters and petrochemical-adjacent food processing facilities. Dallas-Fort Worth is a close second, hosting regional offices for major food manufacturers and logistics companies. Austin's growing food-tech and consumer packaged goods sector offers data science and product development roles. San Antonio and Lubbock also have notable food manufacturing operations tied to agriculture and meat processing that generate STEM-eligible positions.
How do I find food & beverage F-1 STEM OPT sponsorship jobs in Texas?
Migrate Mate lets you filter specifically for food and beverage employers in Texas with verified F-1 STEM OPT sponsorship history, so you can focus on companies that have actually supported STEM OPT extensions rather than guessing from general job postings. Look for roles with STEM degree classifications in food science, industrial engineering, or supply chain management, as these are most commonly designated STEM-eligible. Reviewing DOL LCA filings through OFLC can also confirm which Texas employers have filed prevailing wage certifications for relevant roles.
What types of food & beverage roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify must align with a STEM-designated CIP code from your degree program. In food and beverage, this typically includes food scientist, quality assurance engineer, process improvement analyst, supply chain data analyst, and R&D chemist. Positions in operations research, industrial engineering, and applied statistics within food manufacturing also frequently qualify. Customer-facing or purely commercial roles like brand management generally do not meet the STEM OPT extension criteria under USCIS guidelines.
Are there any Texas-specific considerations for F-1 STEM OPT sponsorship in food & beverage?
Texas has no state-level immigration requirements beyond federal standards, but its large agricultural economy means many food and beverage employers also use H-2A visa and seasonal worker programs, which are separate from STEM OPT. Some Texas food manufacturers operate under USDA inspection requirements that may influence hiring timelines. Employers in E-Verify-enrolled facilities, which is common for food processing plants, are already positioned to meet the E-Verify requirement mandatory for all STEM OPT extension employers under USCIS rules.