דרושים » תוכנה » Senior Data Scientist

We are looking for a highly skilled and motivated Senior Data Scientist to join our team. In this role, you will be responsible for developing innovative machine learning, NLP, and AI technologies, for solving problems within a wide scope.
As Data scientist youll make an impact on
Research and develop models for detection of cyberthreats.
Lead collaboration with our cyber experts research team, be able to develop all parts of the components for modelling (e.g., data collection, evaluation setting, model training, testing, and inference).
Working closely with the other development teams, architecture, product to create high quality deliverables.
Taking an active role in our agile processes, design reviews, brainstorming, and knowledge-sharing sessions.

One Security Operations Center (SOC) is a new team under Modern Protection & Security Operation Center, our vision is to empower every SOC team to protect their entire digital estate, optimize for their unique environment and needs. We build the ultimate unified one-stop-shop solution, making SOC teams most effective and efficient and deliver optimized protection that meets customers where they are, leading Extended Detection and Response (XDR)+ Security Information and Event Management (SIEM) market.
We are looking for an innovative data scientist with NLP expertise, strong technical skills and desire to make significant impact through data and research. A successful candidate will be an excellent hands-on applied data scientist who is enthusiastic about NLP, LLMs, data, security, and real-world problem solving
Responsibilities
As a senior data scientist on our team, you will work closely with other data scientists, security experts, software engineers, and product managers to tackle many different types of problems. You will utilize generative AI tools, anomaly detection algorithms, supervised and unsupervised learning methods, statistical methods, time series analysis, and more, to help customers investigate security incidents and protect their environments. You will be up to date with our customers needs and the competitive landscape and work with internal and external teams to build advanced solutions for SIEM and XDR. You will process hundreds of PBs and code mainly in Python and PySpark. You will be independent but surrounded by a large team of strong and experienced multi-disciplinary researchers

Required DATA SCIENTIST
Join us, where we're driven by the belief life needs play. Were on a mission to deliver infinite ways to play using cutting-edge technologies like AI and machine learning to craft immersive experiences that connect, inspire and entertain millions of players worldwide.
From our start as a small mobile games company founded in Israel to our current position as a publicly traded company and industry leader, we continue to be a dominant force in interactive entertainment. With a diverse portfolio of award-winning, category-leading Casual and Social Casino-themed games, including nine of the top 100 highest-grossing mobile games in the US, we're setting the standard for excellence.
Our success story is co-authored by a dynamic team of storytellers, strategists, creators and data scientists who thrive on innovation. We are home of the best, advancing an inclusive culture that embraces our core values and reflects our agile DNA.
With a strong financial foundation, disciplined operations, unwavering player-focused approach and relentless can-do spirit, we're well-positioned for sustained growth. If you're ready to join the driving force behind the evolution of interactive entertainment, we invite you to come play with us.
Join our dynamic team as a Data Scientist, where you will leverage advanced statistical methods, predictive modeling, and machine learning to drive our marketing efforts forward. You will be at the forefront of analyzing trends, predicting customer behavior, and assessing the impact of marketing strategies. This role demands a deep understanding of business dynamics, an innovative approach, and the ability to provide actionable insights to both technical and non-technical stakeholders.
Responsibilities:
Apply advanced statistical techniques and machine learning algorithms to solve complex marketing problems.
Develop predictive models to forecast trends, customer behaviors, and the outcomes of different marketing strategies.
Conduct A/B testing and other experiments to optimize marketing efforts and refine customer segmentation and lifetime value models.
Innovate and enhance our marketing analytics capabilities by developing new methods and tools.
Manage large datasets and construct complex statistical models to support marketing decisions.
Deliver ad-hoc analysis and smart solutions to business challenges, providing a quick response to emerging needs.
Analyze the impact of AI-driven models on marketing initiatives, defining key metrics to evaluate success.

We are looking for an experienced engineer with hands-on experience in Prompt Engineering and a background in Data Science to join our team.
Your role will be crucial in leveraging LLMs and Machine Learning Models to significantly enhance our data-centric threat detection capabilities, making a real difference in our product.
Responsibilities
Write, test, refine, and optimize prompts and LLM models.
Implement and integrate LLMs and machine learning models within our services and product suite.
Develop our LLM-Ops framework to manage LLMs lifecycle.
Write high-performance code on top of Databricks and PySpark.
Evaluate and implement machine learning algorithms and Auto-MLs solutions on top of Databricks.

We are seeking an experienced and analytical Intelligence Methodologist to join our new Gen AI team.
You will collaborate with analysts, product managers, data scientists and developers to design and optimize investigative workflows, ensuring our solutions address real-world intelligence challenges effectively. This is a unique opportunity to combine your expertise in intelligence methods with cutting-edge conversational Gen AI technology.
As an employee, you will:
Work closely with product managers and development teams to align investigative methodologies with the conversational AI's capabilities.
Develop and curate high-quality domain-specific datasets for training and evaluation.
Communicate findings, progress to stakeholders, and provide recommendations for further enhancements.
Provide expert knowledge and insights to ensure the LLM agent understands and processes domain-specific language accurately.
Design, document, and refine methodologies for conducting intelligence investigations.
Train intelligence analysts on the use of methodologies and tools.
Create documentation and training materials to support effective adoption of workflows.
Collaborate with internal teams and external partners to understand operational requirements.