Blend360 LLC

Blend360 LLC

Marketing Data Science Manager

Columbia, MD, United States · Senior

Sponsorship not specified$125k-$160kDetected 124 days ago
PythonSQLRedshiftAWSGCPAzureMachine Learningscikit-learnPandasSparkData AnalysisData EngineeringData ScienceNLPLLMsRAGAgentic AIMLOpsStatisticsEmail MarketingCommunicationCollaboration

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

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

Level II · 2×
Level I$86,8611 entry
Level II$119,3712 entries
Level III$151,9023 entries
Level IV$184,4134 entries

$26,902 more — $151,902 — moves this role to Level III and 3 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 $151,902 would place this position at wage Level III. 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) · Baltimore-Columbia-Towson, MD. 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

Files H-1B transfers

2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

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.

Community outcomes

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About the role

  • Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.
  • The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.
  • We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

Responsibilities

  • Partner with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
  • Collaborate with stakeholders to align on methodology, deliverables, and project roadmaps.
  • In addition to traditional data science responsibilities, you will collaborate with AI and engineering teams to:
  • Design and implement production-grade AI solutions leveraging LLMs, transformers, retrieval-augmented generation (RAG), agentic workflows, and generative AI agents.
  • Optimize prompt design, workflows, and pipelines for performance, accuracy, and cost-efficiency.
  • Build multi-step, stateful agentic systems that utilize external APIs/tools and support robust reasoning.
  • Develop evaluation frameworks to monitor grounding, factuality, latency, and cost.
  • Implement safety and reliability measures such as prompt-injection protection, content moderation, loop prevention, and tool-call limits.
  • Work closely with Product, Engineering, and ML Ops to deliver robust, high-quality AI capabilities end-to-end.
  • Develop and manage detailed project plans including milestones, risks, owners, and contingency plans.

Nice to have

  • Exposure to ML Ops tools such as MLflow, Kubeflow, or SageMaker
  • Experience working in Agile environments with cross-functional teams
  • It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance.

Compensation

  • $125k-$160k

Benefits

  • Leverage Machine Learning and Data Analysis to optimize marketing campaigns
  • Train, validate, and tune predictive models using modern machine learning techniques and tools.

Company info

  • For more information, visit www.blend360.com We are seeking a skilled and versatile Data Science Manager with AI familiarity to join our growing team.

This listing is sourced directly from Blend360 LLC's careers page and normalized into a canonical job model.