Mindlance
Posted 125 days agoVerified live 22h ago
Data Scientist
Brief overview
San Francisco, CAIn-person
135 H-1B approvalsDept. of Labor
12 green cardsCertified filings
Gurobi OptimizationPredictive modelingMachine learningWeb content categorizationFraud detectionAutomated ranking of content qualityClusteringClassificationAssociation rule miningWeb analyticsData miningModern econometric methodsMultivariate statistical analysisSegmentationExperimental designOptimizationText analytics
About the company
Mindlancemindlance.com
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.135H-1B approved
97%approval rate
29new H-1B hires
12PERM certified
$134,674median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202328
202440
202551
202616
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202314
202414
202534
202610
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20234
20242
20255
20261
Top sponsored roles
Software EngineerInformatica MDM AdminAb Initio DeveloperFront-End DeveloperSystems Test Engineer
Sponsored employees from
India
Job description
Summary
Mindlance is a national recruiting company which partners with many of the leading employers across the country. They are seeking a Data Scientist to develop predictive models in marketing, understand business problems, and apply advanced analytic techniques. The role involves using machine learning models for web content categorization and fraud detection.
Responsibilities
- Developing predictive models in the area of marketing
- Understanding business problems and translating it into data mining problems
- Applying techniques such as clustering, classification and association
- Web analytics, Data mining techniques application for large data
- The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics
- Predictive models to improve advertiser campaign performance
- Machine learning models for categorizing web pages and content
- Fraud detection & automated ranking content quality
Skills
- Gurobi Optimization
- Developing predictive models in the area of marketing
- Understanding business problems and translating it into data mining problems
- Applying techniques such as clustering, classification and association
- Web analytics, Data mining techniques application for large data
- Experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics
- Predictive models to improve advertiser campaign performance
- Machine learning models for categorizing web pages and content
- Fraud detection & automated ranking content quality
Qualifications
Must Haves
- Gurobi Optimization
- Developing predictive models in the area of marketing
- Understanding business problems and translating it into data mining problems
- Applying techniques such as clustering, classification and association
- Web analytics, Data mining techniques application for large data
- Experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics
- Predictive models to improve advertiser campaign performance
- Machine learning models for categorizing web pages and content
- Fraud detection & automated ranking content quality
