A day in the life:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Analyze our risk product, identify improvements, and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes.
Lead our risk model data science performance monitoring. Define, understand, and test opportunities to improve the product, and drive roadmaps through your insights and recommendations.
Deliver directions for future data science research that are related to the model performance.
Design data collection strategies and their applications for building new products. Collaborate with the data engineering team to define and implement data processing workflows.
Participate in the design of data preparation processes, ensuring seamless integration of business requirements and technical feasibility.
Exemplify and foster our humble, collaborative and impact-obsessed culture.

We're looking for a sharp and passionate Data Scientist to join our top-notch Data Science team.
Using your technical and analytical skills, your mission will be to develop Data Science models in purpose to directly impact the business KPIs in various areas.
Responsibilities:
Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.

we are looking for a Senior Data Scientist
Responsibilities

Working on projects across multiple DS disciplines (Tabular datasets, Vision, NLP, Bayesian modeling, etc..)
Apply complex analytical techniques to derive actionable insights.
Converting business needs into working data science projects (Identifying problems and providing solutions from ideation to deployment).
Conducting research and implementing new initiatives.
Working closely with our product, analysis, data and development departments.
Designing and Creating machine learning and DS pipelines used to ease, enhance and automate analysis tasks.
Optimizing and improving existing ML/DL models and pipelines.
Working with big data (BigQuery, SQL).

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.

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.

We are looking for exceptional hands-on data science, machine learning, and algorithms researchers. Our data science group builds well-crafted machine learning systems which are at the core of unique position to prevent online fraud. you will have the opportunity to analyze complex non-stationary data, innovate, acquire, and demonstrate a wide range of skills and expertise in machine learning while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

What you'll be doing:
Research and develop innovative machine learning projects up to deployment in production.
Lead projects, initiatives, and multidisciplinary task forces in a dynamic business environment.
Mentor other data scientists, influence your teammates' projects, advise colleagues from other disciplines.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.

We are looking for a Customer Facing Data Scientist (LLM).
As a Customer Facing Data Scientist you will be at the core of our most important effort: how do we solve our customers LLM evaluation pains at scale.
You will work with some of the worlds best AI groups and with our top notch product data science team.
You will play a critical role in ensuring that our customers effectively use LLM Evaluation for testing and monitoring and have full ownership for identifying the best path of implementing the solution into our users LLM pipelines.
Thus helping them to prevent hallucinations, create automatic evaluation flows, and enable continuous performance tracking and improvement. Being customer facing means that you will be working with our customers to understand their needs, help them customize the solution and investigate issues.
This role requires expertise in data science and proficiency in Python. Communicating with customers means that you will need to present your ideas concisely, know how to find a way to work around customers/prospects objections and develop relationships.
The ideal candidate holds a relevant degree and possesses hands-on experience managing LLM solutions in an operational production environment along with a passion to make our customers successful.
Well be going through a lot together, so we want your character and mindset to be a good fit for a fast-moving startup.

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.

We are looking for a System Analyst.
As our System Analyst, youre not just crunching numbers, youre crafting the bridge between what data can do and our business needs. Think of it as using BI/Analytics to crack the code on complex puzzles and clocking the wins in real, measurable ways.
You'll take charge of steering projects, tracking their progress, and quantifying their success, all while pushing the envelope on what data can achieve. Ready to blend your technical background with a keen business sense to drive excellence?
Join us on this journey to elevate our game through strategic data innovation.
In this role, you will be responsible for:
Leverage your extensive data domain expertise to generate strategic insights, and play a crucial role in developing and managing the semantic layer, ensuring data integrity, accessibility for analytics, and BI and company alignment around metrics.
Develop metrics and frameworks to assess the impact of data-driven initiatives on business performance, aligning with key goals.
Engage with stakeholders to collect requirements, map the company data sources, and deliver insights that inform strategic decisions and optimize data organization processes.
Champion the adoption of data-driven decision-making throughout the company, fostering innovation and continuous improvement.

Were looking for an exceptional Data Team Lead to lead our data analytics team and transform the scraping industry. As a Head of Data, you will be a major focal point in the company, lead a team of data professionals and work closely with cross-functional teams to ensure data-driven decision-making and impactful insights.
What Youll be Doing:
Provide strong leadership and mentorship to a team of data analysts and data engineers by setting clear goals, providing regular feedback, and ensuring the teams professional growth and development
Work closely with Product, Sales and CS teams to gather needs for data insights and reports within the company
Own internal data in the company, including product and business analytics, end to end and be responsible for its delivery, infrastructure, accuracy and integrity
Work closely with the product team to lead data features of our own customer facing analytics dashboard
Lead the analysis of complex datasets to extract valuable insights, trends, patterns and anomalies that drive strategic decisions
Present findings and actionable insights to senior management and cross-functional teams
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth ץ