Data Manager Visa Sponsorship Jobs in New York
Data manager roles in New York draw sponsorship from finance firms along the Wall Street corridor, health systems like NYU Langone and Mount Sinai, and tech employers concentrated in Manhattan and Brooklyn. With the state's density of data-intensive industries, international candidates will find meaningful sponsorship activity across both enterprise and mid-market employers.
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DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry.
Rockerbox with DoubleVerify empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.
About the role
As a Senior Data Scientist, you will take full ownership of statistical modeling, ensuring that marketers have precise actionable insights into campaign effectiveness. This role includes opportunities for exploring new statistical methodologies and applying existing methodologies (with potential refinements) to new datasets. If you enjoy a combination of data wrangling, optimizing statistical models, and working at the intersection of data science and product, this is the role for you.
Responsibilities
- Conduct exploratory data analysis, engineer features in order to build statistically sound models that are interpretable and aligning with domain knowledge
- Adapt, optimize, and iterate on the current modelling packages, modifying open source packages to adapt our need
- Stay up to date with the latest causal inference and experimental design techniques
- Translate complex business asks into rigorous mathematical problems and, conversely, use data-driven storytelling to communicate mathematical results as clear, actionable business insights to external stakeholders
- Provide code reviews and feedback on system/model design for team members
- Work closely with product and engineering to integrate data science projects into the Rockerbox platform
Requirements
- 5+ years of industry experience with a BA or BSc in sciences or engineering or 2+ years of industry experience with a MSc or PhD degree in sciences or engineering
- Strong knowledge of regression modelling, statistical testing and experimental design
- Proficiency in scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib etc.)
Nice to Haves
- SQL for data wrangling
- Applying Bayesian techniques to predictive modelling problems
- Working with AWS cloud technologies
- Experience using Probabilistic programming libraries, e.g. STAN, PyMC, numpyro
- Familiarity with marketing analytics concepts such as campaign allocation, measurement or budget optimization
The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between $115,000 - $196,000. This role is also eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.
Please note, there may be in-person interviews at one of our offices.
Why You’ll Love Rockerbox: At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to professional growth and will actively support your development in both technical and business domains.
Who We Are
DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry.
Rockerbox with DoubleVerify empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.
About the role
As a Senior Data Scientist, you will take full ownership of statistical modeling, ensuring that marketers have precise actionable insights into campaign effectiveness. This role includes opportunities for exploring new statistical methodologies and applying existing methodologies (with potential refinements) to new datasets. If you enjoy a combination of data wrangling, optimizing statistical models, and working at the intersection of data science and product, this is the role for you.
Responsibilities
- Conduct exploratory data analysis, engineer features in order to build statistically sound models that are interpretable and aligning with domain knowledge
- Adapt, optimize, and iterate on the current modelling packages, modifying open source packages to adapt our need
- Stay up to date with the latest causal inference and experimental design techniques
- Translate complex business asks into rigorous mathematical problems and, conversely, use data-driven storytelling to communicate mathematical results as clear, actionable business insights to external stakeholders
- Provide code reviews and feedback on system/model design for team members
- Work closely with product and engineering to integrate data science projects into the Rockerbox platform
Requirements
- 5+ years of industry experience with a BA or BSc in sciences or engineering or 2+ years of industry experience with a MSc or PhD degree in sciences or engineering
- Strong knowledge of regression modelling, statistical testing and experimental design
- Proficiency in scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib etc.)
Nice to Haves
- SQL for data wrangling
- Applying Bayesian techniques to predictive modelling problems
- Working with AWS cloud technologies
- Experience using Probabilistic programming libraries, e.g. STAN, PyMC, numpyro
- Familiarity with marketing analytics concepts such as campaign allocation, measurement or budget optimization
The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between $115,000 - $196,000. This role is also eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.
Please note, there may be in-person interviews at one of our offices.
Why You’ll Love Rockerbox: At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to professional growth and will actively support your development in both technical and business domains.
Data Manager Job Roles in New York
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Search Data Manager Jobs in New YorkData Manager Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for data managers in New York?
Financial institutions including JPMorgan Chase, Citigroup, and Goldman Sachs are among the more active sponsors for data management roles in New York, alongside health systems like NewYork-Presbyterian and tech firms such as IBM and Verizon. Consulting firms with large New York offices, including Deloitte and Accenture, also sponsor regularly for data manager positions requiring specialized technical backgrounds.
Which visa types are most common for data manager roles in New York?
The H-1B visa is the most common visa for data manager positions in New York, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or statistics. Candidates already authorized to work, such as those on OPT or an H-1B transfer from a previous employer, may find the process more straightforward than new cap-subject petitions.
Which cities in New York have the most data manager sponsorship jobs?
Manhattan accounts for the largest share of data manager sponsorship activity in New York, driven by finance, media, and enterprise technology employers. Buffalo and Rochester have emerging opportunities through healthcare systems and regional manufacturers. Albany sees sponsorship activity tied to state government contractors and health informatics organizations. For candidates open to commuting, the broader metro area including parts of New Jersey is worth considering.
How to find data manager visa sponsorship jobs in New York?
Migrate Mate is built specifically for international candidates and filters data manager roles in New York by visa sponsorship eligibility, saving you from sorting through postings that won't support work authorization. The platform surfaces employers with a documented history of sponsoring data management positions in the state, which is particularly useful given how inconsistently sponsorship intent is disclosed in standard job postings.
Are there any New York-specific considerations for data managers seeking visa sponsorship?
New York's prevailing wage requirements apply to H-1B positions statewide, and employers must file a Labor Condition Application with the Department of Labor before sponsoring. The state's concentration of regulated industries, particularly finance and healthcare, means data manager roles often carry additional compliance expectations that can affect how employers frame the position's degree requirements, which in turn influences how USCIS evaluates specialty occupation eligibility.
What is the prevailing wage for sponsored data manager jobs in New York?
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.