לוח משרות דרושים Data Scientist

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

abra professional services is seeking for an Data Scientist – Model Development A leading financial organization is seeking an experienced Data Scientist to join its Model Development team, responsible for delivering strategic, cross-organizational AI initiatives. The role focuses on developing and deploying advanced Machine Learning and AI models that support various business units, working with large-scale data in a modern cloud-based environment. Key Responsibilities
* Design, develop, and deploy advanced ML models in production environments
* Translate complex business problems into algorithmic solutions
* Analyze and process large-scale structured and unstructured data
* Work within AWS cloud infrastructure
* Leverage advanced AI technologies, including Generative AI (advantage)
* Present insights and findings to business stakeholders
* Measure model performance and continuously optimize outcomes

Realize your potential by joining the leading performance-driven advertising company!
As a Data Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Data Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more.

We are looking for a Senior Data Products Manager to lead the strategy and evolution of our external data products, with a strong focus on customer needs and scalable, high-impact data solutions.
In this role, you will work directly with customers and internal stakeholders to understand how our data catalog is used across different use cases. Youll translate customer insights, usage patterns, and commercial input into a clear product vision and prioritized roadmap aligned with company objectives.
You will work closely with customer-facing data scientists and internal delivery teams to turn customer needs into production-ready data products. This includes collaborating with Partnerships to evaluate external data providers and defining requirements that guide the transformation of raw data into reliable, high-quality signals. You will also engage with the data pipeline itself, where different models are used to turn raw and unclassified data into coherent, scalable data products.
Responsibilities:
Own the strategy, vision, and roadmap for Exploriums external data products, guiding a delivery team of data developers and a team lead.
Lead customer discovery and translate insights into scalable product initiatives, requirements, and clear delivery plans.
Drive prioritization across competing needs, balancing customer value, business impact, feasibility, and time-to-market.
Lead the end-to-end data product lifecycle: discovery, definition, delivery, launch, adoption, and continuous improvement.
Collaborate cross-functionally with Data Science, Engineering, Sales, CS, and Partnerships to validate use cases and define measurable product success.
Write clear product specs and actionable tickets that guide the transformation of third-party data into production-grade data products.
Continuously improve existing products to expand coverage, improve accuracy, and unlock new customer use cases.
Define and track success metrics such as adoption, customer impact, accuracy, coverage, and performance.

we are seeking a skilled Data Scientist to join our dynamic team. As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.

Responsibilities
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.

We are seeking a Data Product Manager to join our Data Department within the Data Product Team. In this role, you will be at the core of our mission to transform data into a strategic asset, ensuring that our business teams can make smarter, faster, and more impactful decisions.
As a Data Product Manager, you will be responsible for defining and delivering the vision, strategy, and roadmap of data products that serve internal stakeholders across Sales, Operations, Finance, and Marketing. You will focus on Looker as the central BI platform, ensuring reliable, scalable, and user-friendly data products that democratize insights and maximize business value.
This role requires a strong mix of product management expertise, BI platform experience (Looker is mandatory), and cross-functional collaboration skills. You will partner closely with data engineers, BI developers, and business teams to translate requirements into actionable data solutions, while upholding governance, quality, and scalability.
If you are passionate about creating data products that directly impact the efficiency and success of global teams in a fast-paced, data-driven environment, this opportunity is for you.
What will you do?
As a Data Product Manager, you will shape, deliver, and scale data-driven products that empower our business functions to operate more efficiently and make smarter decisions. You will partner with engineers, analysts, and stakeholders across departments to translate business needs into data products that drive measurable impact.
Your responsibilities will include:
Roadmap & Strategy
Define and prioritize the data product roadmap in alignment with our global objectives.
Identify key data opportunities, define success metrics, and ensure products are aligned with business impact.
Ensure data governance, quality, and scalability in all delivered solutions.
Product Design & Delivery
Translate business requirements into clear, actionable data product specifications.
Ensure stakeholders are kept informed on milestones, changes, and impacts.
Product Roll-out & Continuous Improvements
Contribute to a culture of data democratization, enabling teams to self-serve insights.
Oversee the roll-out of new Looker products, ensuring adoption and training across internal teams.
Monitor product usage and performance, gather feedback, and iterate to drive continuous improvement.

Join our team as a Geo Analyst and play a key role in producing the underground utility maps that sit at the heart of our product. In this entry-level position, youll work hands-on with diverse geospatial datasets and real project outputs, developing a deep understanding of how raw information becomes accurate, high-impact mapping for our customers.

Responsibilities

Process, extract, and analyze spatial data from multiple sources, including aerial imagery, remote sensing, engineering plans, surveys, and web-based datasets.
Deliver customer projects on time and at high quality, working in a fast-paced, deadline-driven environment.
Interpret and classify underground utilities and construction activities using geospatial tools and digital imagery.Work with GIS tools (mainly QGIS) to review, validate, and edit geospatial data.
Perform quality assurance (QA) in collaboration with external and internal experts.

We are looking for aData Scientist 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, supported by a dedicated Data Engineering team that handles the underlying infrastructure.
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 looking for a highly capable and experienced Data Scientist to lead and develop advanced deep learning solutions for metrology challenges within our CTO group.
Responsibilities
What you will be doing:
Lead feasibility studies and proof-of-concept investigations for advanced deep learning solutions addressing complex metrology challenges.
Design, develop, and evaluate deep learning infrastructure for early-stage metrology technologies.
Propose and drive new deep learning directions, research ideas, and innovative approaches in collaboration with the CTO group.
Work closely with multidisciplinary teams to translate research concepts into practical metrology solutions.
Stay up to date with state-of-the-art deep learning methods and apply them to novel semiconductor metrology problems.

Job Description Summary:
Apply strategic and data analytics skills to solve problems for the company Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency.
Job Description:
As a Decision Scientist you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization.

We are looking for an experienced Product Manager to lead Diagnosis Insights domain - responsible for the intelligence layer that powers our clinical suggestions and diagnosis capture experience across patient populations.
This role sits at the intersection of clinical reasoning, data, and AI. You will define, refine, and scale the logic behind diagnosis insights - owning the end-to-end experience from medical modeling through how suggestions are surfaced to clinicians and others. Your mission is to drive superior accuracy, broad coverage, and measurable impact across patient types and care models.
This position is ideal for a PM who combines strong analytical and technical depth with clinical intuition, and who is excited to build AI-powered products that influence real-world clinical decisions at scale.
Responsibilities:
Define and drive the product roadmap for Diagnosis Insights domain. Own the long-term vision for diagnosis suggestion ecosystem - from medical logic and model strategy to how insights are presented, prioritized, and acted upon by clinicians.
Own and define KPIs, including model coverage and precision, alongside end-user adoption metrics (e.g., physician address rate).
Lead core product interfaces: Own the insights experience on both the physician and administrative teams' interfaces.
Work closely with Engineering, Data Scientists, Medical Experts while actively engaging with clients and end users to deeply understand their desired outcomes, and validate new ways to improve our suggestion algorithm.
Translate customer and business requirements into PRDs, technical specifications, and logical flows for the Engine and Core teams.
Explain complex medical logic in simple, non-technical language to internal stakeholders (Support, CSM, Implementation teams) and support generate internal product documentation.
Use SQL and analytical skills to interrogate data, evaluate logic performance, and validate improvements.
Own and manage the product backlog, prioritizing requests based on customer impact, business goals, and urgency.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

As a Research Engineer , you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:

Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development