Data Science Engineer Visa Sponsorship Jobs in Georgia
Data science engineer roles in Georgia are concentrated in Atlanta, home to major employers like Delta Air Lines, NCR Voyix, Cox Enterprises, and a growing fintech sector. Georgia Tech's research output feeds a steady pipeline of talent, and companies across healthcare IT, logistics, and financial services regularly file for H-1B visa sponsorship to fill these positions.
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Get Access To All JobsMake your mark for patients
To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Senior Manager, Go-to-Market Data Science opening. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in our Atlanta, GA, Raleigh, NC offices, requiring 40% onsite presence.
About the role
You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs.
Who you’ll work with
You will work with the Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, as well as business stakeholders in the Patient Value Units. Externally, you will work with payors and analytics vendors that support data science projects. The mission of this role is to deliver data-driven actionable insights from advanced analytics that create high impact patient value.
What you’ll do
- Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact
- Deliver the most impactful data and analytics projects that:
- address the most compelling business questions, and/or
- identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information
- Partnership and Collaboration: Be the key strategic partner for the Go-to-Market or functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Go-To-Market Hub Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources
- Team Leadership: Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations
- Drive the execution of regional and local data-driven insights research and data analytics plans and priorities
- Foster a strong data science community with significant business acumen and communication skills across Hubs and Engine. Supervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results.
- Improve the team’s partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by:
- developing and executing a communication and collaboration plan with key UCB stakeholders
- increasing personal and the Advanced Analytics team’s knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders
- Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members
- Drive deep partnership with the Hub insights team and other “fellow” Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights
- Be a champion for a data-driven, decision-making culture
Interested? For this role we’re looking for the following education, experience and skills
Minimum Experience/Skills Required:
- Bachelor's degree in quantitative area
- Minimum of 6-8+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc., and data transformation such as data cleansing and integration, fuzzy matching, etc.
- Minimum of 6-8+ years of experience developing program/project plans and leading programs/projects from initiation to implementation
- Minimum of 6-8+ years of experience with programming and application development using Python or R
Preferred Experience/Skills:
- Master/Doctor’s degree in quantitative area
- Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments
- Deep expertise in leveraging data science methodologies within the Go-to-Market sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business
- Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges
- Mastery of project management skills
- You are a structured problem solver
- Possess an 80/20 mindset to push for fast model iterations
- Ability to interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation)
- Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours)
This positions reasonably anticipated base salary range is $125,600 - $164,900.
For Boston, this positions reasonably anticipated base salary range is $137,600-$180,600.
The actual salary offered will take into account related knowledge, skills, experience and location among other factors and may fall outside the expected range.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9,000 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Make your mark for patients
To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Senior Manager, Go-to-Market Data Science opening. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in our Atlanta, GA, Raleigh, NC offices, requiring 40% onsite presence.
About the role
You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs.
Who you’ll work with
You will work with the Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, as well as business stakeholders in the Patient Value Units. Externally, you will work with payors and analytics vendors that support data science projects. The mission of this role is to deliver data-driven actionable insights from advanced analytics that create high impact patient value.
What you’ll do
- Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact
- Deliver the most impactful data and analytics projects that:
- address the most compelling business questions, and/or
- identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information
- Partnership and Collaboration: Be the key strategic partner for the Go-to-Market or functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Go-To-Market Hub Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources
- Team Leadership: Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations
- Drive the execution of regional and local data-driven insights research and data analytics plans and priorities
- Foster a strong data science community with significant business acumen and communication skills across Hubs and Engine. Supervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results.
- Improve the team’s partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by:
- developing and executing a communication and collaboration plan with key UCB stakeholders
- increasing personal and the Advanced Analytics team’s knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders
- Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members
- Drive deep partnership with the Hub insights team and other “fellow” Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights
- Be a champion for a data-driven, decision-making culture
Interested? For this role we’re looking for the following education, experience and skills
Minimum Experience/Skills Required:
- Bachelor's degree in quantitative area
- Minimum of 6-8+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc., and data transformation such as data cleansing and integration, fuzzy matching, etc.
- Minimum of 6-8+ years of experience developing program/project plans and leading programs/projects from initiation to implementation
- Minimum of 6-8+ years of experience with programming and application development using Python or R
Preferred Experience/Skills:
- Master/Doctor’s degree in quantitative area
- Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments
- Deep expertise in leveraging data science methodologies within the Go-to-Market sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business
- Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges
- Mastery of project management skills
- You are a structured problem solver
- Possess an 80/20 mindset to push for fast model iterations
- Ability to interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation)
- Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours)
This positions reasonably anticipated base salary range is $125,600 - $164,900.
For Boston, this positions reasonably anticipated base salary range is $137,600-$180,600.
The actual salary offered will take into account related knowledge, skills, experience and location among other factors and may fall outside the expected range.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9,000 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
Data Science Engineer Job Roles in Georgia
See all 145+ Data Science Engineer Jobs in Georgia
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Search Data Science Engineer Jobs in GeorgiaData Science Engineer Jobs in Georgia: Frequently Asked Questions
Which companies in Georgia sponsor visas for data science engineers?
Several large Georgia employers have a documented history of H-1B sponsorship for data science roles. Delta Air Lines, NCR Voyix, Cox Enterprises, Equifax, and InComm Payments are among the most active. Healthcare systems like Emory Healthcare and Piedmont Health also sponsor for data-focused engineering positions. Consulting firms and managed service providers based in Atlanta frequently sponsor as well.
Which visa types are most common for data science engineer roles in Georgia?
The H-1B is the most common visa category for data science engineers in Georgia, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates from Canada or Mexico may qualify for TN visas under the USMCA. Those with extraordinary ability in data science can explore the O-1A, though it requires strong documentation of recognition in the field.
Which cities in Georgia have the most data science engineer sponsorship jobs?
Atlanta accounts for the large majority of data science engineer sponsorship activity in Georgia. Buckhead, Midtown, and the Perimeter Center area host many corporate headquarters and tech offices that drive this demand. Alpharetta has emerged as a secondary hub, particularly in fintech and software, where several employers have sponsored H-1B workers for engineering and data roles in recent years.
How to find data science engineer visa sponsorship jobs in Georgia?
Migrate Mate is built specifically for international candidates seeking visa sponsorship in the U.S. You can filter by role and state to see data science engineer positions in Georgia from employers with a history of sponsoring work visas. This saves significant time compared to manually researching individual companies, and the listings are focused on roles where sponsorship is a realistic possibility rather than a long shot.
Are there any Georgia-specific factors that affect data science engineer sponsorship?
Georgia Tech's graduate programs in machine learning, computational data analytics, and computer science create a strong local talent pipeline that many Atlanta employers tap into, which also means those same employers are accustomed to sponsoring international graduates. The state's concentration of Fortune 500 headquarters in Atlanta means a higher share of employers have established immigration programs and in-house or retained legal counsel to manage H-1B filings reliably.
What is the prevailing wage for sponsored 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.