דרושים » תוכנה » data Scientist

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.

Responsibilities:

Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

We're looking for a skilled and motivated Data Science Team Lead to guide a team of talented data scientists in developing real-time, machine learning-based products. Youll play a key role in driving innovation - researching, designing, and deploying advanced ML models that directly enhance user experience and product performance.

This is an exciting opportunity for a hands-on leader who thrives in a fast-paced, impact-driven environment.

Responsibilities:

Lead, mentor, and inspire a team of data scientistsfostering a culture of collaboration, innovation, and technical excellence
Guide team members personal and professional development
Collaborate with product and engineering teams to identify challenges, uncover opportunities, and drive data-driven solutions
Recruit and retain top-tier talent as the team grows
Research and develop ML models using cutting-edge techniques across a range of domains
Generate new ideas and insights to improve performance and deliver business value

We are looking for an experienced, sharp-minded and detail-oriented Data Scientist to join our growing R&D department, and work with an amazing team towards combating retail shrink - that is, catching thieves!
In this role you will develop and implement machine learning models and data-driven algorithms, create methodologies, and employ advanced data analysis techniques to define KPIs, measure our performance, and uncover actionable insights that drive impactful research. Your work will focus on transforming vast amounts of data into meaningful predictions, building scalable ML solutions, and enabling tools that improve the effectiveness of our innovative systems.
If you have a passion for data science and advanced analysis of systems solving real-world problems, wed love to hear from you!
A day in the life
Employ accurate data analysis techniques to evaluate system performance and identify areas for improvement. Produce clear, actionable insights to guide innovation and improve product KPIs.
Design and implement algorithms to automate and optimize performance measurement and decision-making processes.
Develop, train, and deploy predictive models that enhance our core capabilities.
Continuously monitor, validate, and refine models in production to ensure accuracy and robustness.
Collaborate with algorithm researchers, product managers, and Operations to align model design with business and R&D goals.

Were looking for a Data Researcher to join the AI Research Team and spread the power of our company. In this role, youll push the boundaries of data security and insight extraction in cloud environments. You'll be at the forefront of developing sophisticated methods to classify and secure sensitive data, addressing challenges like unstructured data and document files. Operate at a large scale and collaborate with some of the largest customers in the world.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.

Were on a mission to revolutionize how marketers, writers, and innovators create their marketing content. With tools like ChatGPT?? taking the world by storm, its clear that the spotlight is now shining on the Generative AI space. However, its ultimate hurdle is now a self-compounding problem: with infinite options for messaging now available to all marketers how do we know what will actually work? Your words matter, and Anyword was built to ensure that they resonate. Since 2021, weve been building a platform to help both the worlds largest brands and its next rising stars actually move, inspire, and drive their audiences forward. In reality, weve removed the uncertainty of writing performance copy, and are the first to bring copy intelligence into play. Weve combined our own language models, predictive analytics, custom AI, and branding-specific tools to help brands rise above the noise in ways they couldnt before. Weve built the brain behind all marketing messaging, no matter where it lives and how you create it (with AI or not). And now were looking to you to help change the world with us!
About the role Anyword is seeking a senior NLP data Scientist to lead our marketing language predictive modeling. Youll explore complex datasets, build and fine-tune advanced NLP /LLM models, and partner closely with engineering and product to integrate your work into Anywords AI content platform.
Responsibilities:
* Define and own the technical strategy and roadmap for Anywords marketing language predictive modeling.
* Analyze, process, and derive insights from our ever-growing data resources.
* Solve challenging prediction problems by applying the latest ML/ NLP techniques to build and fine-tune highly performant LLMs.
* Collaborate with engineers and product managers to ship models end-to-end, from research to production.
* Monitor and iterate on models using offline and online metrics.

The ML Detection team is a new, cross-functional team at the core of our product strategy. Its mission is to own and advance the machine learning-based validations that form the foundation of our accessibility testing solutions. This includes everything from data collection and research to deploying, monitoring, and maintaining models in production. You will lead a multidisciplinary team of Data Scientists, ML/Data Engineers, and Algorithm Developers to build foundational models and standalone validations that extend the reach and precision of our products, giving Evinced a critical competitive edge.

Your Impact:

Lead, mentor, and grow a multidisciplinary team of Data Scientists, ML Engineers, and Algorithm Developers, fostering a culture of trust, collaboration, and professional growth.
Own the end-to-end delivery of ML-based detection capabilities, from initial research and data collection to model deployment, monitoring, and algorithmic post-processing.
Provide hands-on leadership, actively contributing to technical solutions, architecture, and design reviews for new algorithms and models.
Collaborate closely with Product, DevOps, and R&D teams to align on priorities, manage integrations, and ensure efficient, impactful development cycles.
Architect and oversee the development of the infrastructure required for the entire ML lifecycle, including data management, experimentation platforms, and model deployment/monitoring systems.
Define and refine team processes, tools, and methodologies to optimize performance, quality, and stability, ensuring data science tasks have clear definitions of done.
Drive the strategic vision for the evolution of our detection capabilities, including UI patterns, interactive elements and accessibility issues, to meet current and future needs.
Act as the primary problem solver and technical resource for the team, guiding them through complex research and engineering challenges.

Required Data Scientist
About the Company
We are on a mission to reverse the adversary's advantage by empowering defenders with ingenuity and technology to end cyber-attacks. We have the technology, and now we are looking to expand our talent! Come and talk to us about joining a market leader and a diverse team of passionate people who win as one, ensuring a customer-first approach is core to everything we do and never giving up on reversing the adversary advantage.
Nice to know
Our Israeli site is located in Tel Aviv next to Hashalom train station.
Hybrid work model.
Flexible working hours.
#1 in the MITRE ATT&CK Evaluations: 100% prevention, visibility, and real-time protection.
Youll be part of our Data Science team
As a data scientist, you will harness your skills to help millions of individuals and organizations fend off malicious activity practically defending the world from evil! Collaborate with brilliant security researchers, data scientists, and engineers to create new security capabilities for some of our key products. We are looking for a team player who is also independent, curious, and willing to share their perspective and push their ideas.
In this position, you will:
Lead end-to-end data science projects from research exploration, through Proof of Concept (POC), to production.
Design and implement improvements for current ML-based products.
Engage with cutting-edge Generative AI (GenAI) technology to develop innovative solutions and enhance our data science capabilities.
Work with domain experts to help shape the right questions and use your analytical skills to answer them.
Find new and innovative approaches to turn the huge data stream created by our platform into additional security value.

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of our data centers and the optimization of our networking products. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful solutions.
What You'll Be Doing:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
Lead the technical implementation and integration of data science models into production environments.

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within our company to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with our company and we remain a trusted partner.
The gTech Ads Data Science EMEA team helps measure and optimize marketing ROI for our companys largest clients. We build bespoke models that address clients key business issues.
In this role, you will be responsible for applying best data science practices to solve our ads customers problems in marketing. You will be passionate about bringing the best of our companys Machine Learning (ML) capabilities to build innovative solutions that address our customer's problem-space. You will be responsible for executing on gTechs strategy and goal to deliver applied data science to our company's largest ads customers.
Responsibilities
Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with Machine Learning and statistics.
Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of a modeling framework.
Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution, collaborate with Product/Engineering teams to increase and optimize capabilities of our data scientist (DS) team, employing methods which create opportunities for scale, proactively helping to drive innovation.
Work with customer and internal teams to translate data and model results into tactical and insights that are actionable for decision.
Develop comprehensive understanding of our company data structures, and metrics, advocating for product changes where needed.

We are looking for an experienced Data Science Manager to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on leading the team that are developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models.

Role & Core Responsibilities
Lead, mentor, motivate and inspire a small team of Machine Learning Engineers & Data Scientists.
Own the model development and release process across all products and internal platforms, including both OptiX and .
Manage the cloud-hosted modelling environment.
Operationalize models as APIs working in real-time and batch environments.
Monitor production models, ensuring data quality and model performance.
Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text.
Leverage LLMs and other cutting-edge technologies to enhance product capabilities.
Collaborate closely with product and development teams to define and prepare new ML applications.
Analyse performance and continuously improve scoring processes for hosted models.