Data Scientist Visa Sponsorship Jobs in Delaware
Data scientist roles in Delaware are concentrated around Wilmington's financial and pharmaceutical corridor, with employers like JPMorgan Chase, Bank of America, AstraZeneca, and DuPont regularly hiring for these positions. The state's proximity to Philadelphia expands the hiring pool further, and several firms have a track record of sponsoring H-1B visas for qualified data science candidates.
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Company Description
Implify, Inc is a Global IT Solutions and services firm. Since its inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.
Job Description
Position: 1
Job Title: Analytics – Principal Consultant
Travel: 100% Travel
Duration: Full Time Permanent
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Must Have Skill/Competency:
- Domain – Retail and/or CPG domain Knowledge
- Retail Execution – Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
- Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
- Data Understanding of Sales, Inventory, Store, Product and Promotion Data
- Ability to translate business requirement to analytical model
- Communicate directly with business users
- Technical Skills – SQL, Advanced Excel, R/SAS Hadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
- Hadoop, Spark, Python
- Tableau/Spotfire/Qlikview
- Nielsen/IRI/Market Research Data understanding
Job responsibilities:
- Understand business requirement from client and translate it to appropriate Analytics use cases
- Work in a team environment to deliver analytics solution to client
- Define new business metrics as required and build measurement systems as needed
- Enjoy designing, develop and deploy state of the art, data-driven predictive models
- Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling
- Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics – Data Scientist - Architect
Travel: 100% Travel
Duration: Full Time Permanent
Skillset: Analytics
Domain: Business Intelligence
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
PREFERRED QUALIFICATIONS
- MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
- 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
- Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
- Knowledge of Perl, Python or Ruby; experience with Java, C or C++
- Experience with Apache Spark and Scala
- Knowledge of Clojure or Julia for statistical learning and optimization algorithms
- Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
- Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
- Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
- Define new business metrics as required and build measurement systems as needed
- Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
- Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
- The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Additional Information
All your information will be kept confidential according to EEO guidelines.

Company Description
Implify, Inc is a Global IT Solutions and services firm. Since its inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.
Job Description
Position: 1
Job Title: Analytics – Principal Consultant
Travel: 100% Travel
Duration: Full Time Permanent
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
Must Have Skill/Competency:
- Domain – Retail and/or CPG domain Knowledge
- Retail Execution – Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement
- Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting
- Data Understanding of Sales, Inventory, Store, Product and Promotion Data
- Ability to translate business requirement to analytical model
- Communicate directly with business users
- Technical Skills – SQL, Advanced Excel, R/SAS Hadoop, Spark, Python Tableau/Spotfire/Qlikview
Nice to have Skill/Competency:
- Hadoop, Spark, Python
- Tableau/Spotfire/Qlikview
- Nielsen/IRI/Market Research Data understanding
Job responsibilities:
- Understand business requirement from client and translate it to appropriate Analytics use cases
- Work in a team environment to deliver analytics solution to client
- Define new business metrics as required and build measurement systems as needed
- Enjoy designing, develop and deploy state of the art, data-driven predictive models
- Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling
- Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems.
Position: 2
Job Title: Analytics – Data Scientist - Architect
Travel: 100% Travel
Duration: Full Time Permanent
Skillset: Analytics
Domain: Business Intelligence
BASIC QUALIFICATIONS
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting.
PREFERRED QUALIFICATIONS
- MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
- 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms
- Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software
- Knowledge of Perl, Python or Ruby; experience with Java, C or C++
- Experience with Apache Spark and Scala
- Knowledge of Clojure or Julia for statistical learning and optimization algorithms
- Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc.
- Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing
Job responsibilities
- Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data
- Define new business metrics as required and build measurement systems as needed
- Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems.
- Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities
- The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Data Scientist Job Roles in Delaware
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Search Data Scientist Jobs in DelawareData Scientist Jobs in Delaware: Frequently Asked Questions
Which companies sponsor visas for data scientists in Delaware?
Delaware's largest visa sponsors for data scientist roles include major financial institutions headquartered or operating in Wilmington, such as JPMorgan Chase, Bank of America, and Barclays, as well as life sciences companies including AstraZeneca and Incyte. DuPont and Chemours also have a history of sponsoring technical roles. Sponsorship availability varies by hiring cycle and specific team needs.
Which visa types are most common for data scientist roles in Delaware?
The H-1B is the most common visa category for data scientist positions in Delaware, as the role consistently meets the specialty occupation standard requiring a bachelor's degree or higher in a relevant field such as statistics, computer science, or mathematics. Some employers also use the O-1A for candidates with demonstrated exceptional ability, and recent graduates on F-1 OPT or STEM OPT extensions are frequently hired before transitioning to H-1B status.
Which cities in Delaware have the most data scientist sponsorship jobs?
Wilmington accounts for the large majority of data scientist sponsorship activity in Delaware, driven by its concentration of financial services firms and corporate headquarters. Newark, home to the University of Delaware, sees some hiring activity connected to research and tech-adjacent employers. The rest of the state has limited data science hiring, making Wilmington the practical focus for international job seekers targeting Delaware.
How to find data scientist visa sponsorship jobs in Delaware?
Migrate Mate filters job listings specifically for roles where employers have a history of visa sponsorship, making it a practical starting point for data scientist candidates targeting Delaware. You can search by state and role to surface relevant openings at Wilmington-area financial and pharmaceutical employers. Because Delaware's market is smaller than nearby Philadelphia or New York, checking regularly and setting alerts helps surface new postings quickly.
Are there any state-specific factors that affect data scientist sponsorship in Delaware?
Delaware's data science hiring is heavily weighted toward financial services and life sciences, meaning prevailing wage determinations for H-1B petitions are benchmarked against those industries rather than a broad tech average. The University of Delaware and Delaware State University supply some local talent, but employers routinely recruit nationally and internationally for senior data science roles. Delaware's small size means fewer total openings compared to larger states, so competition for sponsored positions can be meaningful.
What is the prevailing wage for sponsored data scientist jobs in Delaware?
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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