דרושים » ניהול ביניים » Senior Data Analyst

As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis,product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment.

Responsibilities
Deploying AI modules to production:

Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Deploy, configure, and implement hundreds of AI modules yearly using our orchestration mechanisms.
Design scalable deployment methodologies for new AI products
Address complex challenges associated with data in operational production environments, such as data quality, availability, and integration.
Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed.
Maintain our AI solutions in top performance:

Become a crucial part of our Ops team and work in a live operational environment, finding real-time solutions to complex problems.
Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors.
Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time.
Design new monitoring solutions and metrics to address production issues, data drifts, and performance degradation.
Investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent reoccurrence
Tool Development:

Develop tools and scripts to support data analysts and ensure efficient data processing and analysis.
Visualize data in informative and to the point visualizations.
Automate tasks related to AI deployment, data validation, and reporting.

Required Senior Data Analyst
If youre a dynamic and high energy person with a strong background in data analytics, this is the place for you! ‍Were looking for a talented Data Analyst to join our team and take our data driven culture to the next level. Youll have the opportunity to work on real life business cases, partner with stakeholders across all departments, and make a meaningful impact on our business.
‍In this role you will -
Build data methodologies and tools in order to develop product outputs and automations, by researching large data sets and improving our data accessibility
Provide top notch analysis, insights, and recommendations to the product team
Partner with product managers to develop high quality queries to grow our offerings and capabilities
Perform research on advertising algorithms and provide suggestions for applying them in the product data logic
Enhance the products statistical significance by developing and improving our scoring methodology to improve our automatic opportunity recommendations engine
Research data to validate the potential of initiatives while working closely with our data scientists and engineers to translate them into production code
Check the data feasibility of product managers initiatives
Produce scalable semi/fully automated queries to extract the needed value points for the product or other client deliverables
Apply critical thinking in evaluating the analytical outputs and surface gaps.

We are looking for a capable, passionate, and experienced Senior Data analyst, with a passion for analyzing large volumes of data and extracting insights for our customers.
What You'll Do:

Full responsibility of data classification engine logics

Creating detection logic for any type of sensitive data

Research and design new approaches of detection using big data and ML algorithms

Develop and implement monitoring tools to ensure the effectiveness of our data classification system, automating KPI evaluation processes.

Data validation and ensure data integrity of the product.

Utilize data analysis techniques to support internal decision-making processes, including research and development efforts, visibility expansions, and data integrations

We are looking for a generalist to join our growing Analytics group.
We aim for a passionate individual who can influence both strategy and decision-making through data analysis and the creation of new analytical tools to facilitate self-serve analytics by our customers.
Your responsibilities will range from measurement strategy & KPIs, building data structure, creating actionable business insights, and identifying new opportunities for growth, cost-savings, efficiency, etc. You will collaborate with employees across the company, in all levels of seniority (individual contributors to senior leadership) and across departments (product, finance, marketing, development, etc.)
You must be comfortable with being both strategic and hands-on, operating in a hyper-growth environment filled with ambiguity, and have no fear of failing and getting back on your feet again.
About The Role:
Create cutting-edge measurement strategy and north-star KPIs for marketing, client-facing teams, and product.
Take an active part in influencing our strategy and collaborate to build new strategic initiatives with different departments in the organization.
Leverage large amounts of data to drive key business decisions and business guidance, while creating the right processes and tools for data/insights consumption, monitoring, and reporting in the marketing department.
Communicate business insights to senior management and be a trusted partner to ensure program success and data-driven decisions.
Applying your expertise in analysis, data visualization, and data mining to tell the story behind the numbers and derive actionable insights for management

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

Required Experienced Software Engineer, Demand
What are some of the things you do on a day-to-day basis?
Develop one of the largest real time big data operation in the world to support over 40TB of new data every day
Have end to end ownership: Design, build, ship, measure and maintain our frontend and backend services
Collaborate with the brightest software engineers team members
Influence directly on the way billions of people discover the internet
Develop at unimaginable scale, serving hundreds of requests per second
Work on innovative projects that are the next growth engines for us
Here are some of the things software developers in our group did in the last several months:
A unique data pipeline for processing and managing user data signals
Develop a complete user identities graph and find deterministic and probabilistic methods to enrich it
An algorithmic model to predict the performance potential of a specific audience
Infrastructure to create unique audiences for advertisers based on various signals (behavioral, contextual, etc)
An A/B tests system to explore variations and experiments over audiences
Understand and use big data algorithms to estimate key business metrics over billions of impressions
Build user interface using React that serve thousands of users
And many more
Our Tech Stack:
Java, JS, TS, Python, React, Spark, Kafka, Hadoop, Cassandra, Vertica, ES, MySQL, Memcached, HDFS, BigQuery, Kusto, Docker, K8S, Linux, Prometheus, Grafana, Airflow.

We are looking for a Principal Network Security Researcher to join our NDR behavioral detection team.

You will create statistics-based classification algorithms detecting everything from network entities through process behaviors and attackers operating in enterprise-scale networks using data from multiple network and endpoint sources; from analyzing attack patterns, finding statistical anomalies, choosing the right features, training the right model and validating that you detect the right concept on real customer data with real APTs.

Your Impact

Research new methods to detect targeted attackers operating in networks and endpoints by utilizing enormous amounts and varied types of data
Simulate attacks in the lab and conduct a deep analysis of the behavior
Use and develop machine learning algorithms and techniques to create and improve our models
Be part of a diverse research group, improving our research processes and leading us to be a better team creating a better product
Stay up to date with APTs, attacker methodologies, and TTPs

We are looking for an experienced data scientist with deep data science skills to join our team.
Responsibilities:
Conduct algorithmic research, development and evaluation on various computational biology problems across our platform
Design the architecture and be highly involved in the implementation of our bioinformatics pipeline
Continuously keep up to date with the state of the art tools in bioinformatics and ML
Thoroughly evaluate dataset quality and biases
Help define the technological strategy of the company.