דרושים » תוכנה » Data Science Team Lead

Were looking for an experienced Product Analytics Manager to play a key role as part of the Product organization. The Product Analytics Manager will lead the domain and work closely with Product, R&D, Sales and Marketing, Customer Success, and BI to drive data-informed product and business decisions.

Key Responsibilities
Define product success metrics, usage benchmarks, and adoption KPIs across products and customer segments, ensuring alignment with our clinical and business impact goals.
Own the end-to-end product analytics framework - including event design, tracking strategy, data validation, and ongoing data quality monitoring.
Perform hands-on deep-dive analyses, working directly with raw data and collaborating with R&D and BI to ensure robust data models, pipelines, and instrumentation.
Partner with Customer Success and BI to deliver customer-centric insights and support the evolution of the product data infrastructure.
Build dashboards and analytical models to support product and business decision-making, evaluate feature performance, and establish a continuous feedback loop between user behavior and product development - using data-driven insights to challenge assumptions and prioritize high-impact roadmap initiatives.
Quantify the clinical and economic impact of our solutions by analyzing real-world encounter data to validate key performance markers such as reduction in cost of care, improved patient outcomes, and product utilization.
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders.
Provide professional leadership in analytics, including team management (if applicable) and contributing to the growth of the analytics function.

We are seeking a hands-on technical leader to architect and lead the development of production LLM-based applications. This role will lead a cross-functional team of software engineers and data scientists and will own architecture, delivery, evaluation, observability, and production readiness.



The ideal candidate is a proven software leader who has delivered complex production-grade systems and can align engineering, data science, product, and platform work into one cohesive execution model. The role requires strong software architecture, applied AI judgment, disciplined execution, and people leadership, with a focus on turning ambiguous product goals and exploratory AI work into reliable production software.



Responsibilities:

Lead a cross-functional team of engineers and data scientists developing LLM-based applications.
Translate product and business goals into technical roadmaps, milestones, and deliverable plans.
Own end-to-end delivery from architecture and experimentation through deployment, monitoring, evaluation, and continuous improvement.
Design LLM workflows using RAG, tool calling, structured outputs, agents, deterministic logic, and human-in-the-loop patterns where appropriate.
Establish evaluation-driven development practices for LLM features.
Define quality metrics, regression tests, golden datasets, production feedback loops, and observability standards.
Ensure systems meet production standards for scalability, performance, reliability, security, and maintainability.
Provide technical guidance, architectural oversight, mentorship, and career development for team members.
Manage priorities, scope, risks, and trade-offs across multiple streams of work.
Partner with product, design, DevOps, data engineering, security, and other technical leaders.
Drive continuous improvement in delivery quality, engineering practices, and team effectiveness.


We are looking for a Data Science Engineer to design and implement the decision-making logic of our Price Optimizer. You will focus on translating complex business rules into mathematical models and production-ready Python code.

Your primary mission is to build the "brain" of our system. You will work at the intersection of Data Science and Product, ensuring our simulation and optimization engines accurately reflect real-world pricing strategies and market dynamics. While you will write production code, you will rely on our Data Engineers for ETL pipelines orchestration and distributed compute scaling.

Responsibilities:

Implement Business Logic: Translate intricate pricing rules and commercial strategies into robust Python code and mathematical constraints.
Refine Optimization Models: Develop and tune the simulation and revenue management algorithms that drive our pricing recommendations.
Write Clean Code: Contribute high-quality, tested, and maintainable code to the core logic repositories.
Analyze & Improve: Use data to validate model behavior and identify edge cases where business rules clash with algorithmic outputs.
Collaborate: Partner with Solution Architects to define logic requirements and with Data Engineers to integrate your models into the Dagster pipelines.

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities:

Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.
Requirements

We are looking for a talented R&D Team Leader to join our innovative development team. As a vital part of our mission to deliver leading security solutions, you will contribute to the development of security products that ensure the safety and integrity of our customers' software throughout the entire lifecycle, from code development to runtime operations. If you thrive in dynamic environments, take ownership of features from end to end, and are eager to mentor and share knowledge with the team, this is the role for you!
To join us, you should demonstrate hands-on leadership while providing guidance and support, as well as assisting developers at the code level.
As an R&D Team Leader, you will...
Lead a team of 4-6 developers, working on large-scale, complex, and cutting-edge systems.
Manage the delivery of multiple, complex, simultaneous development projects from design to release.
Ensure that risks and issues are identified and managed closely, while driving all stakeholders to deliver on time and to the required quality standards.
Make key decisions to ensure the right effort for the successful implementation of all initiatives.

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. The ERP Team Leader is responsible for leading a team of ERP implementors to successfully design, implement, and support ERP solutions across Logistics and/or Finance domains. This role combines hands-on functional expertise with team leadership , ensuring high-quality delivery of ERP capabilities aligned with business processes and organizational strategy. The position will work closely with IT/MIS, Finance, Supply Chain, and business stakeholders to drive successful ERP implementation and continuous improvement initiatives. Key Responsibilities 1. Team Leadership & Delivery Management
* Lead and manage a team of 3+ ERP implementors (functional analysts/configurators)
* Plan, prioritize, and oversee team activities across implementation, support, and enhancement cycles
* Ensure delivery milestones are met (design, configuration, UAT, go-live, stabilization)
* Coach, mentor, and develop team members’ professional capabilities 2. ERP Implementation & Solution Design
* Lead end-to-end ERP implementation projects (requirements ? deployment)
* Translate business requirements into ERP solutions aligned with best practices
* Ensure minimal customization approach and adherence to system standards
* Oversee system configuration and functional design documentation 3. Functional Expertise (Logistics / Finance)
* Act as a subject matter expert in one or more domains: Logistics: Procurement, Inventory, Order Management, Manufacturing/SCM Finance: GL, AP, AR, Fixed Assets, Costing
* Ensure proper business process mapping and system alignment
* Support complex functional issue resolution 4. Oracle ERP Ownership
* Lead implementation and support of Oracle ERP (on-prem or Cloud)
* Ensure optimal usage of standard Oracle capabilities
* (Advantage) Drive Oracle Cloud ERP implementation, upgrades, or migration
* Work with integration teams on upstream/downstream systems 5. Cross-Functional Collaboration
* Act as the key interface between IT, Finance, Operations, and external partners
* Support business users during testing, training, and go-live
* Ensure alignment between ERP processes and organizational policies 6. Governance, Quality & Continuous Improvement
* Enforce ERP standards, documentation, and change management processes
* Support SOX / ITGC compliance where applicable
* Identify improvement opportunities and optimize system usage
* Drive automation and process standardization initiatives