W3Global
Senior Data Scientist
Texas City, Texas, USA · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$18,362 more — $138,362 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $138,362 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Houston-Pasadena-The Woodlands, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- You will be part of a dynamic team of data scientists, analysts, and product managers dedicated to creating innovative solutions for enterprise-level clients.
- The team thrives on collaboration, leveraging diverse expertise to tackle complex challenges.
- A culture of continuous learning and knowledge sharing is fostered, allowing team members to stay up-to-date with the latest industry trends and technologies.
Responsibilities
- Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
- As a Senior Data Scientist in client team, you will utilize advanced analytical techniques to drive insights from large datasets.
- You will collaborate with various teams to identify opportunities for leveraging data to optimize products and services.
Requirements
- Proficiency in programming languages such as Python or R, along with data manipulation libraries.
- Experience with big data technologies like Hadoop, Spark, or similar platforms.
- Excellent analytical skills with the ability to communicate complex findings to non-technical stakeholders.
- A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.
Nice to have
- A master's or Ph.D. in computer science, statistics, mathematics, or a related field..
- Experience in the tech industry or with enterprise-level software products. - Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Roles & Responsibilities
- Experience in the tech industry or with enterprise-level software products.
- Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).
Skills
- Strong communication and product-facing exposure are equally important.
- Data Science, Deep Learning, Machine Learning,
- Agentic AI, Retrieval Augmented Generation, Large Language Model Desirable Skill:
- Strong proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of statistical analysis techniques and data modeling.
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Ability to work with databases and query large datasets using SQL.
Compensation
- $120k-$150k
Benefits
- Develop and implement machine learning algorithms to solve complex business problems.
- Stay current with the latest advancements in data science and machine learning technologies.
Company info
- You are Responsible for: Developing and deploying machine learning models to solve business problems.
- Analyzing complex datasets to extract actionable insights that contribute to product development.
- Collaborating with cross-functional teams to integrate data science solutions into existing products and services.
- Providing mentorship and guidance to junior data scientists and fostering a collaborative environment.
- To succeed in this role - you should have the following: Strong experience in machine learning algorithms and statistical modeling techniques.
- You are Responsible for:
- Developing and deploying machine learning models to solve business problems.
- To succeed in this role - you should have the following:
- Strong experience in machine learning algorithms and statistical modeling techniques.
This listing is sourced directly from W3Global's careers page and normalized into a canonical job model.