לוח משרות דרושים Data Scientist בחיפה וסביבתה

we are looking for a Business Data Migration Project Manager.
Position can based in Yoqneam Illit, North, Israel or Memphis, TN.
Responsibilities may include the following and other duties may be assigned.
Scoping & Planning
Partner with the Operating Unit ( OU) Deployment Team and Functional Subject Matter Experts (SMEs) to define data migration needs during early scoping and planning phses.
Document the objects, attributes, metadata, and structures required for successful migration.
Assess source systems to determine data completeness, quality, and alignment with target-system requirements.
Identify areas that require deeper investigation, including specialized data, system nuances, or complex integrations.
Data Readiness, Quality & Remediation
Evaluate data quality with Legacy Data SMEs, identifying issues in structure, integrity, duplication, and consistency.
Define quality expectations including format rules, validations, cleansing requirements, and acceptance criteria.
Develop and support execution of remediation, enrichment, and cleansing strategies that prepare data for migration.
Cross‑Functional Collaboration
Facilitate workshops and working sessions with SMEs, QMS representatives, regulatory stakeholders, and IT partners.
Identify integration touchpoints and dependencies across systems.
Ensure stakeholders understand migration scope, responsibilities, and quality expectations.
Migration Requirements & Validation Support
Create initial functional data and attribute requirements needed by the Migration Lead and technical teams.
Support mapping, transformation logic discussions, and early discovery validation.
Participate in the development and execution of validation plans, including cycle-level test activities and issue investigation.
Lead or contribute to reconciliation meetings to ensure completeness, correctness, and alignment between source and target systems.
Execution Support & Issue Resolution
Assist the Migration Lead in triaging data issues related to mapping, attributes, hierarchy, or structure.
Provide targeted data extracts and analysis to support SME remediation efforts.
Track issues and ensure cross-functional awareness of items affecting downstream or upstream processes.
Program Communication & Risk Management
Communicate risks, dependencies, and data readiness concerns to the Core Team.
Identify and escalate bottlenecks or data-related constraints that could impact migration planning or deployment timelines.
Maintain clear documentation of decisions, assumptions, and data-related considerations throughout each migration phase.
R52659

As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.

Key Responsibilities
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.