Payactiv Visa Sponsorship Jobs USA
Payactiv is a fintech and financial wellness company with a track record of sponsoring skilled workers across engineering, product, and data roles. For candidates in Banking & Financial Services who need H-1B visa or Green Card sponsorship, Payactiv is a legitimate and active sponsor worth targeting.
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Get Access To All JobsINTRODUCTION
We are Payactiv, a FinTech company in the heart of Silicon Valley, devoted to giving workers access to their earned wages when they need them. Payactiv is the pioneer and industry leader in Earned Wage Access. We are the only Certified B Corporation and Public Benefit Corporation in our industry. Our app provides millions with financial services that help them avoid debt, manage their finances, and regain flexibility to pay for things on their own schedule.
ABOUT THE ROLE
Payactiv’s Finance Risk & Analytics team is seeking an experienced Data Scientist, based out of our Milpitas office, who is passionate about using data to uncover insights, drive decisions, and shape products that transform how people experience financial wellness. The Finance Risk and Analytics team is responsible for building the data-driven intelligence that powers many of Payactiv's financial products and business decisions. We develop forecasting models, decision engines, risk strategies, marketing campaign analytics and other analytical solutions that help drive business performance at scale. Working closely with Product, Engineering, Operations and other Finance teams, we turn data into actionable insights and automated decisions that improve customer outcomes, strengthen partner relationships, and support long-term growth.
Responsibilities
- Bring both technical and analytical depth and acute business judgment — partner with Product, Engineering, Marketing, Growth, and Customer Success teams to identify which problems are worth solving.
- Own the end-to-end solution from data exploration and feature engineering through model training, validation, deployment, and performance monitoring.
- Act as a trusted advisor to internal and external stakeholders, translating technical findings into clear, impactful insights.
- Collaborate with data engineers in designing, validating, and maintaining ETL processes and data pipelines to ensure integrity, quality, and observability.
- Stay on top of emerging technologies in analytics, ML/AI, and cloud computing (familiarity with Snowflake and AWS SageMaker is a strong plus).
BASIC QUALIFICATIONS
- Bachelor’s degree in quantitative discipline – Data Science, Engineering, Statistics, Mathematics, Economics, etc.
- 2+ years of experience in Data Science, Engineering or a closely related role.
- Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences. A proactive, curious, and detail-oriented mindset with strong problem-solving abilities.
- Strong business acumen — able to connect analytical work to business outcomes, prioritize the highest-impact problems, and influence decisions across cross-functional partners.
- Proven proficiency in SQL and Python (pandas, NumPy, and ML frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow), with experience in data transformation, wrangling, and analysis against multi-million-row datasets.
- Solid working knowledge of relational databases — comfortable writing performant queries, optimizing slow ones, and reasoning about schemas, joins, and query plans at production scale.
- Hands-on experience with business intelligence and visualization tools (Sigma, Tableau, Looker, or Power BI).
- Experience designing, validating, and maintaining ETL processes and data pipelines.
WHAT WE OFFER
- Company sponsored Health, Dental, and Vision insurance
- 401K, traditional, and Roth with a company match
- Tuition Assistance or Tuition Reimbursement
- Unlimited Paid Time off
- Monthly Gym Reimbursement
- Paid time off to volunteer
- Paid Family Leave
- Complimentary office lunches
- Opportunity to grow
- Opportunity to work with a great team committed to making a difference.
- Salary Range: $110K to $140K (Based on years of experience)
INTRODUCTION
We are Payactiv, a FinTech company in the heart of Silicon Valley, devoted to giving workers access to their earned wages when they need them. Payactiv is the pioneer and industry leader in Earned Wage Access. We are the only Certified B Corporation and Public Benefit Corporation in our industry. Our app provides millions with financial services that help them avoid debt, manage their finances, and regain flexibility to pay for things on their own schedule.
ABOUT THE ROLE
Payactiv’s Finance Risk & Analytics team is seeking an experienced Data Scientist, based out of our Milpitas office, who is passionate about using data to uncover insights, drive decisions, and shape products that transform how people experience financial wellness. The Finance Risk and Analytics team is responsible for building the data-driven intelligence that powers many of Payactiv's financial products and business decisions. We develop forecasting models, decision engines, risk strategies, marketing campaign analytics and other analytical solutions that help drive business performance at scale. Working closely with Product, Engineering, Operations and other Finance teams, we turn data into actionable insights and automated decisions that improve customer outcomes, strengthen partner relationships, and support long-term growth.
Responsibilities
- Bring both technical and analytical depth and acute business judgment — partner with Product, Engineering, Marketing, Growth, and Customer Success teams to identify which problems are worth solving.
- Own the end-to-end solution from data exploration and feature engineering through model training, validation, deployment, and performance monitoring.
- Act as a trusted advisor to internal and external stakeholders, translating technical findings into clear, impactful insights.
- Collaborate with data engineers in designing, validating, and maintaining ETL processes and data pipelines to ensure integrity, quality, and observability.
- Stay on top of emerging technologies in analytics, ML/AI, and cloud computing (familiarity with Snowflake and AWS SageMaker is a strong plus).
BASIC QUALIFICATIONS
- Bachelor’s degree in quantitative discipline – Data Science, Engineering, Statistics, Mathematics, Economics, etc.
- 2+ years of experience in Data Science, Engineering or a closely related role.
- Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences. A proactive, curious, and detail-oriented mindset with strong problem-solving abilities.
- Strong business acumen — able to connect analytical work to business outcomes, prioritize the highest-impact problems, and influence decisions across cross-functional partners.
- Proven proficiency in SQL and Python (pandas, NumPy, and ML frameworks such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow), with experience in data transformation, wrangling, and analysis against multi-million-row datasets.
- Solid working knowledge of relational databases — comfortable writing performant queries, optimizing slow ones, and reasoning about schemas, joins, and query plans at production scale.
- Hands-on experience with business intelligence and visualization tools (Sigma, Tableau, Looker, or Power BI).
- Experience designing, validating, and maintaining ETL processes and data pipelines.
WHAT WE OFFER
- Company sponsored Health, Dental, and Vision insurance
- 401K, traditional, and Roth with a company match
- Tuition Assistance or Tuition Reimbursement
- Unlimited Paid Time off
- Monthly Gym Reimbursement
- Paid time off to volunteer
- Paid Family Leave
- Complimentary office lunches
- Opportunity to grow
- Opportunity to work with a great team committed to making a difference.
- Salary Range: $110K to $140K (Based on years of experience)
Job Roles at Payactiv
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Get Access To All JobsTips for Finding Payactiv Visa Sponsorship Jobs USA
Target engineering and product roles first
Payactiv's sponsorship activity is concentrated in technical roles. If your background is in software engineering, data, or product management, you're applying for the types of positions where Payactiv has a strong track record of supporting visa sponsorship.
Understand the fintech hiring context
Payactiv operates at the intersection of Banking & Financial Services and technology. Framing your experience around financial wellness platforms, embedded finance, or payroll infrastructure will resonate with their hiring managers and strengthen your application.
Ask about Green Card sponsorship early
Payactiv has sponsored both H-1B and employment-based Green Cards. If long-term status is a priority, ask during the recruiter screen whether the role is eligible for Green Card sponsorship, it signals forward planning and is a normal question at companies like this.
Confirm OPT and TN eligibility upfront
Payactiv sponsors F-1 OPT and TN visas in addition to H-1B. If you're a Canadian or Mexican national, or currently on OPT, flag your status early, these pathways often move faster than H-1B and Payactiv has experience with both.
Filter for verified sponsors before applying
Not every fintech company that looks promising actually sponsors visas. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, saving time you'd otherwise spend chasing companies that won't file for you.
Align your timeline with H-1B cap deadlines
If you're targeting H-1B sponsorship at Payactiv, start conversations in November or December for the following April registration window. Companies in Banking & Financial Services move faster when candidates approach them with a clear sponsorship timeline already in mind.
Frequently Asked Questions
Does Payactiv sponsor H-1B visas?
Yes, Payactiv sponsors H-1B visas. The company has an active sponsorship track record and has filed for H-1B workers in technical and product roles. If you're targeting an H-1B at Payactiv, focus your applications on engineering, data, and software development positions, and initiate the conversation with their recruiting team well before the April registration window.
What visa types does Payactiv sponsor?
Payactiv sponsors H-1B, F-1 OPT, TN visa, and employment-based Green Cards including EB-2 and EB-3. This range of visa types makes them a practical option for candidates at different stages of their immigration journey, from initial work authorization on OPT to long-term permanent residency pathways.
Which roles at Payactiv are most likely to receive visa sponsorship?
Sponsorship at Payactiv is most common in technical and specialized roles, including software engineering, data engineering, and product management. These are the positions that meet specialty occupation standards for H-1B purposes and where Payactiv has historically concentrated its sponsorship activity. Roles in compliance and financial operations may also qualify depending on the specific requirements.
How do I find visa-sponsored jobs at Payactiv?
The most reliable way is to search for Payactiv directly on Migrate Mate, which aggregates job listings from verified sponsoring employers and filters by visa type and sponsorship history. This saves you from applying to roles at companies that say they're open to sponsorship but have no track record of actually filing. Once you find a match, apply through Payactiv's careers page and flag your sponsorship needs in the recruiter screen.
How long does the sponsorship process take at a company like Payactiv?
Timeline depends on which visa type you're pursuing. F-1 OPT and TN sponsorship can be arranged relatively quickly, often within weeks of an offer. H-1B sponsorship is tied to the annual cap cycle, with registration in March and work authorization beginning October 1 at the earliest. Green Card sponsorship through EB-2 or EB-3 involves PERM labor certification and can take several years from initiation to approval.