Data Contributor Visa Sponsorship Jobs in Maine
Maine's data contributor opportunities are concentrated in Portland and Augusta, where healthcare networks like MaineHealth, financial services firms, and state government agencies drive demand for data work. Employers in these sectors have sponsored work visas for data roles, making Maine a smaller but viable market for international candidates seeking sponsorship.
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Get Access To All JobsWhen you join the team at Unum, you become part of an organization committed to helping you thrive.
Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
- Award-winning culture
- Inclusion and diversity as a priority
- Performance Based Incentive Plans
- Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
- Generous PTO (including paid time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
All the benefits listed above are subject to the terms of their individual Plans.
And that’s just the beginning…
With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
General Summary:
Are you passionate about using AI and advanced analytics to solve complex, high‑visibility business problems? Do you thrive in an innovation‑driven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you.
We are seeking a Senior or Principal Data Scientist to join our innovation hub—a small, agile team tackling the company’s most strategic challenges. You’ll build POCs, develop end‑to‑end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise.
What You Bring
- Bachelor’s in a quantitative field required (Master’s/PhD preferred)
- 6+ years of experience in data science or machine learning
- Strong Python and SQL skills
- Experience with cloud platforms (AWS preferred; Azure/GCP comparable)
- Databricks + PySpark experience is a strong plus
- Background in statistical modeling, ML algorithms, and feature engineering
- Ability to build automated analytics workflows and work with APIs
- Strong communication skills with experience influencing senior stakeholders
- Entrepreneurial mindset, curiosity, and comfort working in fast‑moving environments
Job Specifications / Qualifications
Education
- Bachelor's degree in a quantitative field required.
- Master’s or PhD in a quantitative discipline preferred.
Experience
- 6+ years of professional experience or equivalent relevant work.
- Proven track record leading end‑to‑end data science projects with measurable business impact.
Technical Expertise
Core Data Science Capabilities (expert in at least two, strong in others):
- Programming & Automation:
- Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.
- Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).
- Exposure to object‑oriented development and scalable architecture.
- Data Visualization:
- Expertise across multiple visualization tools and techniques.
-
Ability to tailor visuals to business use cases and audiences.
-
Statistics & Machine Learning:
- Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.
- Experience leading large-scale modeling projects end-to-end.
-
Familiarity with generative AI approaches is a plus.
-
Data Engineering / ETL:
- Strong SQL skills; ability to design, debug, and optimize complex queries.
- Ability to navigate and explore large databases independently.
- Experience combining internal and external data sources.
Soft Skills & Business Leadership
- Strong communication skills, including the ability to influence senior leaders.
- Project management expertise and strong business acumen (financial services experience a plus).
- Ability to manage multiple concurrent initiatives in a fast‑moving environment.
- Comfortable leading engagements and representing analytics with executive leadership.
Primary Responsibilities
Analytical Solution Development
- Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.
- Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.
- Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.
- Evaluate alternative approaches and select appropriate modeling techniques for each use case.
Data Engineering & Preparation
- Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.
- Build modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniques.
- Write complex SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidance.
- Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.
Automation & Deployment
- Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.
- Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.
- Play a lead role in operationalizing AI/ML solutions within production environments.
Visualization, Insights & Communication
- Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences.
- Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.
- Translate complex technical work into business‑friendly recommendations.
Leadership, Mentorship & Collaboration
- Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.
- Provide leadership on data science initiatives, ensuring outputs meet quality standards.
- Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.
- Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.
Innovation & Research
- Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.
- Conduct independent R&D to prototype new approaches and explore innovative solutions for high‑visibility business problems.
- Demonstrate entrepreneurial, self‑starter mindset with a strong curiosity and continuous‑learning orientation.
LI-AD1
LI-Multi
~IN1
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$89,400.00-$183,500.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unum
When you join the team at Unum, you become part of an organization committed to helping you thrive.
Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
- Award-winning culture
- Inclusion and diversity as a priority
- Performance Based Incentive Plans
- Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability
- Generous PTO (including paid time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
All the benefits listed above are subject to the terms of their individual Plans.
And that’s just the beginning…
With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
General Summary:
Are you passionate about using AI and advanced analytics to solve complex, high‑visibility business problems? Do you thrive in an innovation‑driven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you.
We are seeking a Senior or Principal Data Scientist to join our innovation hub—a small, agile team tackling the company’s most strategic challenges. You’ll build POCs, develop end‑to‑end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise.
What You Bring
- Bachelor’s in a quantitative field required (Master’s/PhD preferred)
- 6+ years of experience in data science or machine learning
- Strong Python and SQL skills
- Experience with cloud platforms (AWS preferred; Azure/GCP comparable)
- Databricks + PySpark experience is a strong plus
- Background in statistical modeling, ML algorithms, and feature engineering
- Ability to build automated analytics workflows and work with APIs
- Strong communication skills with experience influencing senior stakeholders
- Entrepreneurial mindset, curiosity, and comfort working in fast‑moving environments
Job Specifications / Qualifications
Education
- Bachelor's degree in a quantitative field required.
- Master’s or PhD in a quantitative discipline preferred.
Experience
- 6+ years of professional experience or equivalent relevant work.
- Proven track record leading end‑to‑end data science projects with measurable business impact.
Technical Expertise
Core Data Science Capabilities (expert in at least two, strong in others):
- Programming & Automation:
- Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.
- Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).
- Exposure to object‑oriented development and scalable architecture.
- Data Visualization:
- Expertise across multiple visualization tools and techniques.
-
Ability to tailor visuals to business use cases and audiences.
-
Statistics & Machine Learning:
- Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.
- Experience leading large-scale modeling projects end-to-end.
-
Familiarity with generative AI approaches is a plus.
-
Data Engineering / ETL:
- Strong SQL skills; ability to design, debug, and optimize complex queries.
- Ability to navigate and explore large databases independently.
- Experience combining internal and external data sources.
Soft Skills & Business Leadership
- Strong communication skills, including the ability to influence senior leaders.
- Project management expertise and strong business acumen (financial services experience a plus).
- Ability to manage multiple concurrent initiatives in a fast‑moving environment.
- Comfortable leading engagements and representing analytics with executive leadership.
Primary Responsibilities
Analytical Solution Development
- Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.
- Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.
- Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.
- Evaluate alternative approaches and select appropriate modeling techniques for each use case.
Data Engineering & Preparation
- Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.
- Build modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniques.
- Write complex SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidance.
- Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.
Automation & Deployment
- Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.
- Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.
- Play a lead role in operationalizing AI/ML solutions within production environments.
Visualization, Insights & Communication
- Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences.
- Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.
- Translate complex technical work into business‑friendly recommendations.
Leadership, Mentorship & Collaboration
- Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.
- Provide leadership on data science initiatives, ensuring outputs meet quality standards.
- Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.
- Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.
Innovation & Research
- Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.
- Conduct independent R&D to prototype new approaches and explore innovative solutions for high‑visibility business problems.
- Demonstrate entrepreneurial, self‑starter mindset with a strong curiosity and continuous‑learning orientation.
LI-AD1
LI-Multi
~IN1
Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
$89,400.00-$183,500.00
Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
Company:
Unum
Data Contributor Job Roles in Maine
See all 28+ Data Contributor Jobs in Maine
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Search Data Contributor Jobs in MaineData Contributor Jobs in Maine: Frequently Asked Questions
Which companies sponsor visas for data contributors in Maine?
MaineHealth and its affiliated hospital networks are among the more active sponsors for data-related roles in the state, given the scale of healthcare data operations in Maine. State government agencies and a handful of financial services and insurance firms in Portland have also filed sponsorship petitions for data contributors, though the overall volume of sponsorship activity in Maine is modest compared to larger metro markets.
Which visa types are most common for data contributor roles in Maine?
The H-1B is the most common visa category for data contributor roles in Maine, provided the position qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or information systems. Some roles at universities or affiliated research institutions may qualify for cap-exempt H-1B petitions. Candidates from Canada or Mexico may also explore TN status under the USMCA if their role fits a qualifying occupation category.
Which cities in Maine have the most data contributor sponsorship jobs?
Portland is the primary city for data contributor sponsorship activity in Maine, driven by its concentration of healthcare, financial services, and technology employers. Augusta, as the state capital, generates some demand through government agencies and their contractors. Bangor also sees occasional openings through Eastern Maine Medical Center and regional employers, though the overall volume of sponsorship positions statewide remains limited compared to major U.S. tech hubs.
How to find data contributor visa sponsorship jobs in Maine?
Migrate Mate is the most direct way to find data contributor roles in Maine that offer visa sponsorship, as the platform filters specifically for employers willing to sponsor. Because Maine's sponsorship market is smaller, it helps to set up alerts so new postings reach you quickly. Focus your search on healthcare networks, state government contractors, and financial services firms in Portland, as these sectors account for most sponsorship activity for data contributors in the state.
Are there state-specific factors that affect data contributor sponsorship in Maine?
Maine's relatively small tech sector means fewer employers actively recruit internationally for data contributor roles, so competition for available sponsored positions can be concentrated among a limited number of hiring organizations. The University of Maine system occasionally produces pipelines into state employer networks, and some research-affiliated roles may qualify for cap-exempt H-1B filings. Prevailing wage requirements still apply statewide, so employers must meet Department of Labor wage standards for the specific occupational category and location regardless of company size.
What is the prevailing wage for sponsored data contributor jobs in Maine?
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.
See which data contributor employers are hiring and sponsoring visas in Maine right now.
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