Senior Data Science Engineer Visa Sponsorship Jobs in Georgia
Senior data science engineer visa sponsorship jobs in Georgia are concentrated in Atlanta, where companies like NCR Voyix, Cox Enterprises, Delta Air Lines, and a growing cluster of fintech and healthtech firms actively hire for advanced ML and data engineering roles. Georgia Tech's pipeline and the city's expanding tech sector keep demand steady for experienced candidates.
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As the Senior Director of Data Science at GoTo Foods, you will lead a high-performing team of data scientists, overseeing critical data science initiatives that directly impact business growth and customer engagement. You will drive advanced analytics and machine learning models to optimize decision-making processes, enhance customer experiences, and increase profitability. This role will focus on key areas such as recommendation engines, personalized offers for loyalty members, and attribution models across our diverse brands. You will collaborate closely with senior leadership, product teams, and marketing to deliver data-driven solutions and ensure strategic goals are met with a deep understanding of both data science and the QSR industry.
Essential Functions
Team Leadership & Management:
- Lead and mentor a growing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
- Provide strategic direction and hands-on leadership for the data science team, ensuring alignment with business objectives and project timelines.
- Conduct regular performance reviews, offer professional development opportunities, and support the team's career growth.
Strategic Data Science Leadership:
- Develop and oversee the execution of data science initiatives, with a focus on recommendation algorithms, personalized offers for loyalty members, and advanced attribution models.
- Collaborate with marketing, product, and operations teams to design and implement data-driven solutions that drive customer engagement, increase sales, and optimize operational efficiency.
- Drive improvements in the understanding and use of customer data, ensuring personalized experiences for customers and measurable improvements in loyalty program performance.
Recommendation Systems:
- Oversee the development and optimization of recommendation engines to drive personalized menu suggestions and promotional offers based on customer preferences, behavior, and purchasing patterns.
- Continuously refine models to improve accuracy, relevance, and user experience.
Loyalty & Offers:
- Develop predictive models to target loyalty members with tailored offers and promotions that enhance customer retention and lifetime value.
- Use data analytics to assess the effectiveness of loyalty programs and recommend actionable improvements.
Attribution & Measurement:
- Design and implement robust attribution models that analyze the impact of various marketing channels, promotions, and customer touchpoints on business outcomes.
- Collaborate with marketing and finance teams to ensure accurate measurement of ROI on promotional spend and customer acquisition strategies.
Cross-Functional Collaboration:
- Partner with IT and data teams to ensure that data science solutions are fully integrated with the company’s data infrastructure.
- Partner with consumer insights, analytics and revenue management to ensure appropriate predictive algorithms are deployed throughout the organization.
- Present findings and actionable insights to executives, helping inform high-level business decisions.
Innovation & Industry Leadership:
- Stay at the forefront of advancements in data science, machine learning, and AI, ensuring that the company remains competitive with cutting-edge technologies.
- Drive experimentation and the use of A/B testing to validate hypotheses and improve product offerings.
Education
- Bachelor’s degree in business analytics, statistics, operations research, applied mathematics, computer science, engineering, or related field, required.
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field, preferred.
Work Experience
- 10+ years of experience in data science, with at least 3-5 years in a leadership or senior management role, preferably in a fast-paced, consumer-facing industry such as QSR, retail, or e-commerce.
- Proven track record of leading data science teams and delivering successful data-driven solutions.
- Strong background in recommendation systems, machine learning models, and marketing analytics.
- Experience with loyalty programs and customer segmentation is a plus.
- Expertise in attribution modeling and multi-channel performance measurement.
Skills
- Expertise in machine learning algorithms, statistical modeling, and predictive analytics.
- Strong proficiency in data science tools and programming languages (e.g., Python, R, SQL, Spark).
- Familiarity with big data technologies and platforms (e.g., AWS, Hadoop, Databricks).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent communication skills with the ability to present complex data insights to both technical and non-technical stakeholders.
- Ability to manage multiple projects simultaneously and prioritize tasks effectively.
- Strategic thinker with strong business acumen and a deep understanding of how data science can drive business results in a QSR environment.
- Highly collaborative with a proven ability to work cross-functionally with senior leadership, product teams, and marketing.
- Results-driven, with the ability to translate data insights into actionable strategies.
- Passionate about creating a data-driven culture that empowers teams to make informed decisions.
Certifications
- None
Travel Requirement
- None
Job Summary
As the Senior Director of Data Science at GoTo Foods, you will lead a high-performing team of data scientists, overseeing critical data science initiatives that directly impact business growth and customer engagement. You will drive advanced analytics and machine learning models to optimize decision-making processes, enhance customer experiences, and increase profitability. This role will focus on key areas such as recommendation engines, personalized offers for loyalty members, and attribution models across our diverse brands. You will collaborate closely with senior leadership, product teams, and marketing to deliver data-driven solutions and ensure strategic goals are met with a deep understanding of both data science and the QSR industry.
Essential Functions
Team Leadership & Management:
- Lead and mentor a growing team of data scientists, fostering a culture of innovation, collaboration, and continuous learning.
- Provide strategic direction and hands-on leadership for the data science team, ensuring alignment with business objectives and project timelines.
- Conduct regular performance reviews, offer professional development opportunities, and support the team's career growth.
Strategic Data Science Leadership:
- Develop and oversee the execution of data science initiatives, with a focus on recommendation algorithms, personalized offers for loyalty members, and advanced attribution models.
- Collaborate with marketing, product, and operations teams to design and implement data-driven solutions that drive customer engagement, increase sales, and optimize operational efficiency.
- Drive improvements in the understanding and use of customer data, ensuring personalized experiences for customers and measurable improvements in loyalty program performance.
Recommendation Systems:
- Oversee the development and optimization of recommendation engines to drive personalized menu suggestions and promotional offers based on customer preferences, behavior, and purchasing patterns.
- Continuously refine models to improve accuracy, relevance, and user experience.
Loyalty & Offers:
- Develop predictive models to target loyalty members with tailored offers and promotions that enhance customer retention and lifetime value.
- Use data analytics to assess the effectiveness of loyalty programs and recommend actionable improvements.
Attribution & Measurement:
- Design and implement robust attribution models that analyze the impact of various marketing channels, promotions, and customer touchpoints on business outcomes.
- Collaborate with marketing and finance teams to ensure accurate measurement of ROI on promotional spend and customer acquisition strategies.
Cross-Functional Collaboration:
- Partner with IT and data teams to ensure that data science solutions are fully integrated with the company’s data infrastructure.
- Partner with consumer insights, analytics and revenue management to ensure appropriate predictive algorithms are deployed throughout the organization.
- Present findings and actionable insights to executives, helping inform high-level business decisions.
Innovation & Industry Leadership:
- Stay at the forefront of advancements in data science, machine learning, and AI, ensuring that the company remains competitive with cutting-edge technologies.
- Drive experimentation and the use of A/B testing to validate hypotheses and improve product offerings.
Education
- Bachelor’s degree in business analytics, statistics, operations research, applied mathematics, computer science, engineering, or related field, required.
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field, preferred.
Work Experience
- 10+ years of experience in data science, with at least 3-5 years in a leadership or senior management role, preferably in a fast-paced, consumer-facing industry such as QSR, retail, or e-commerce.
- Proven track record of leading data science teams and delivering successful data-driven solutions.
- Strong background in recommendation systems, machine learning models, and marketing analytics.
- Experience with loyalty programs and customer segmentation is a plus.
- Expertise in attribution modeling and multi-channel performance measurement.
Skills
- Expertise in machine learning algorithms, statistical modeling, and predictive analytics.
- Strong proficiency in data science tools and programming languages (e.g., Python, R, SQL, Spark).
- Familiarity with big data technologies and platforms (e.g., AWS, Hadoop, Databricks).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent communication skills with the ability to present complex data insights to both technical and non-technical stakeholders.
- Ability to manage multiple projects simultaneously and prioritize tasks effectively.
- Strategic thinker with strong business acumen and a deep understanding of how data science can drive business results in a QSR environment.
- Highly collaborative with a proven ability to work cross-functionally with senior leadership, product teams, and marketing.
- Results-driven, with the ability to translate data insights into actionable strategies.
- Passionate about creating a data-driven culture that empowers teams to make informed decisions.
Certifications
- None
Travel Requirement
- None
Senior Data Science Engineer Job Roles in Georgia
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Search Senior Data Science Engineer Jobs in GeorgiaSenior Data Science Engineer Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for senior data science engineers?
Several large Georgia-based employers have a track record of sponsoring work visas for senior data science engineers, including NCR Voyix, Cox Enterprises, Delta Air Lines, Equifax, and Home Depot. Atlanta's growing fintech and healthtech sectors also include companies like Cardlytics and Anthem that hire at the senior data science level and have filed H-1B petitions through the Department of Labor's public disclosure data.
Which visa types are most common for senior data science engineer roles in Georgia?
The H-1B is the most common visa category for senior data science engineers in Georgia, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with prior employer approval may also work under H-1B transfers. Those with extraordinary ability or advanced research backgrounds sometimes pursue O-1A visas, while EB-2 or EB-3 immigrant visa pathways are used for longer-term sponsorship.
Which cities in Georgia have the most senior data science engineer sponsorship jobs?
Atlanta accounts for the overwhelming majority of senior data science engineer visa sponsorship jobs in Georgia. Specific neighborhoods and submarkets including Midtown, Buckhead, and the Perimeter area host significant tech and corporate headquarters. Outside Atlanta, smaller concentrations exist near Augusta and Savannah, though those markets are far less active for senior-level data science roles compared to the Atlanta metro.
How to find senior data science engineer visa sponsorship jobs in Georgia?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, and it lets you filter senior data science engineer roles to Georgia directly. Rather than sifting through general job listings where sponsorship is unclear, Migrate Mate surfaces positions where employers have a documented history of sponsoring work visas, saving significant time for candidates who need confirmed sponsorship to accept an offer.
Are there state-specific factors that affect senior data science engineer sponsorship hiring in Georgia?
Georgia Tech in Atlanta produces a strong local pipeline of data science and ML talent, which means employers in the state are experienced with international hires and student visa transitions from F-1 OPT to H-1B. Georgia has no state income tax advantage for employers, but its lower cost of operations compared to coastal tech hubs makes Atlanta attractive for corporate data teams. Prevailing wage requirements for H-1B filings are set at the federal level based on the Atlanta metropolitan statistical area, not negotiated at the state level.
What is the prevailing wage for sponsored senior data science engineer jobs in Georgia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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