דרושים » תוכנה » Customer Facing Data Scientist (LLM)

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.

If you're an online user (and let's face it, who isn't these days?), you've likely encountered those bad ads that disrupt your quest for a safe and clean browsing experience. Well, consider us your digital super-hero.

Step into the heart , where our cybersecurity prowess is fueled by a vibrant and friendly work environment. Beyond being a cybersecurity company, we are a community of smart, fun, and kind individuals who share a passion for people. Our dynamic team are hard at work, not only protecting ad platforms, app developers, website owners, and users from the menace of bad ads, but doing so in an atmosphere that resonates with intelligence, creativity, and genuine friendliness.

Our cutting-edge technology swiftly eliminates bad ads in real-time, before they can disrupt the online experience. As a tenacious bootstrapped startup with over a decade in the game, we thrive on challenges because we know that cyber challenges never rest and neither do we!



As our Customer Success Manager, you'll be the maestro of a portfolio filled with vibrant and dynamic enterprise and midsize level accounts. Picture yourself not just managing but waltzing through the realm of ad quality and security, becoming the trusted advisor and influencer that our clients can't imagine navigating this landscape without.

If you see customer/partner relationships as a canvas for your artistic flair and a playground for your scientific precision, then congratulations you've just stumbled upon your dream role! Join us in turning the ordinary into extraordinary as we redefine the customer success experience.

Responsibilities:
Serve as a trusted advisor to customers by utilizing your deep understanding solutions to help achieve customers' business goals.
Act as the customers advocate and collaborate with internal teams including product management, support, and sales to find and provide the best possible solutions
Build a long-lasting relationship with the customer both remotely and face to face while serving as the account technical and product POC.
Develop and maintain a deep understanding of client needs and drivers and align technology to support those needs.
Provide training and education on our products and new features through demos, webinars and training.
Analyze and monitor client data to realize insights and optimizations and communicate those findings to the client.
Work with internal stakeholders to support and drive successful renewals.
Proactively manage client relationship; meet with clients on a regular basis to obtain feedback on our product, identify opportunities for improvements, assess utilization, build plans for maximum optimization.
Develop individual growth plans for each customer to ensure adoption, expansion and loyalty across your portfolio of customers.
Own your accounts, build the relationship with the technical and management teams and with C-level executives.

A global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career is basically guaranteed.
As a Customer Data Engineer, you will be a part of a strong energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease. 
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech. 
Responsibilities:  
​Develop and support a wide range of data transformations and migrations 
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures 
Investigate data mismatches and apply solutions 
Work side by side and support the Customer Success teams in order to meet customer business needs. 
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution. 

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 an excellent Data Science Manager to join our team! Stand as the unique leader, positioned at the intersection of fraud analysis, data science, and system flow engineering, to extract insights and deliver pivotal components of logic at the core of the system.

What youll be doing:

Be the professional leader and mentor to a team of talented data scientists and researchers.
Devise creative solutions to highly intricate real-world problems, using statistics, domain expertise, ML, graph theory, or anything else.
Work on the core of a multi-faceted system, at the junction of identity, similarity, and fraud detection, which is at the heart of technology, and critical to its bottom line.
Find techniques for automated learning from our data, which is meso-big and only sometimes tagged. In particular, hold our complex similarity search, clustering and anomaly detection fields.
Work alongside domain experts to define and develop the way we should synthesize a large corpus of analytical knowledge insights into a scalable streamed flow.
Develop measures, metrics, and uses for our large graph of humans and how to spot those fraudsters hiding in there.
Promote solutions and sophisticated ideas, communicate them to peers, management and customers. Be the Data Science face of the identity network domain of the company.

Required Support Specialists II - German
Join our Customer Support team as a Support Specialist II, where you will play a crucial role in our expanding language support initiative. The ideal candidate possesses native proficiency in German, along with fluency in English, will thrive in a fast-paced environment and have a passion for deep-diving into technical troubleshooting and providing the highest quality responses to incoming user questions.
This role will report to a Customer Support Manager/ Senior Manager and will contribute directly to our Support efforts with a focus on troubleshooting and responding to escalated issues, contributing towards insights reporting, and collaborating with teammates to ensure the highest quality support.
The ideal candidate for this role will have a consistent 5 day work schedule with the ability to work standart German business hours from Monday through Friday.
What your day will look like:
Deliver high-quality, timely responses to support tickets received via email, phone or chat
Focuses on resolving complex issues in various product areas, requiring highly customized responses and advanced troubleshooting skills
Collaborate with Support teammates around the globe to help manage ticket queues and troubleshoot issues reported by users as well as staff
Utilize and contribute to support-related documentation, processes, and workflows
Provide DESS (Dedicated Enterprise Support Specialists) services to our Platinum customers to ensure customer expectations and satisfaction are met
Assist in tracking and reporting on customer pain points, feature requests, and other feedback to be shared with Product and Engineering stakeholders
Be an expert in all things so that you can effortlessly translate complicated technical concepts into direct and effective terms for customers to understand
Continuously update your knowledge with product developments, policy changes, known issues, and user feedback.
Run point on outages or other severe issues, updating our public-facing status page and updating the global Support team as there are developments
Other projects as assigned.

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 skill 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.
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.
Stay ahead of the curve by understanding the latest adversarial techniques fraudsters use.
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 the best minds and spirits to join us in our journey. We know our product is only as great as the individuals building the hardware and software and harnessing data for good causes. Being a great team member means being eager to learn and grow, able to challenge while accepting being challenged, and working for the team and the product with enthusiasm and passion.

We are now hiring a Senior Data Scientist, with the experience, skills and data-driven reasoning to take a leading role in solving our core data science challenges. To meet these, You will be expected to exhibit outside-of-the-box thinking and leadership skills, while collaborating with the engineering, hardware, data and field application teams.

As a member of our Power AI team, you will tackle unique challenges in the domain of Optical Fiber Sensing in electric power lines. Fiber Sensing data measures the acoustic signal along an optical fiber which can be interpreted as a continuous acoustic signal originating from tens of thousands of microphones spanning over hundreds of kilometers. You will cultivate a deep familiarity with this domain and research novel ML approaches that address domain specific challenges.

Responsibilities:
Devise, initiate and manage machine learning projects for solving challenging problems in the Power domain.
Develop cutting edge models for regression, classification, time series forecasting, and more.
Use advanced data analysis and visualization tools to gain insights from diverse real-world physical data.
Proactively seek new directions for tackling hard-to-crack problems, including devising real-world experiments and data collection, and collaborating with fellow physicists and engineers.
Learn new topics and conduct literature reviews to gain deep familiarity with relevant physical domains, such as optics, acoustic vibrations and weather forecasting.
Work in a dynamic environment of short life cycle research and development.

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.

Required Support Specialists II - French
Join our Customer Support team as a Support Specialist II, where you will play a crucial role in our expanding language support initiative. The ideal candidate possesses native proficiency in French, along with fluency in English, will thrive in a fast-paced environment and have a passion for deep-diving into technical troubleshooting and providing the highest quality responses to incoming user questions.
This role will report to a Customer Support Manager/ Senior Manager and will contribute directly to our Support efforts with a focus on troubleshooting and responding to escalated issues, contributing towards insights reporting, and collaborating with teammates to ensure the highest quality support.
The ideal candidate for this role will have a consistent 5 day work schedule with the ability to work standart French business hours from Monday through Friday.
What your day will look like:
Deliver high-quality, timely responses to support tickets received via email, phone or chat
Focuses on resolving complex issues in various product areas, requiring highly customized responses and advanced troubleshooting skills
Collaborate with Support teammates around the globe to help manage ticket queues and troubleshoot issues reported by users as well as staff
Utilize and contribute to support-related documentation, processes, and workflows
Provide DESS (Dedicated Enterprise Support Specialists) services to our Platinum customers to ensure customer expectations and satisfaction are met
Assist in tracking and reporting on customer pain points, feature requests, and other feedback to be shared with Product and Engineering stakeholders
Be an expert in all things so that you can effortlessly translate complicated technical concepts into direct and effective terms for customers to understand
Continuously update your knowledge with product developments, policy changes, known issues, and user feedback.
Run point on outages or other severe issues, updating our public-facing status page and updating the global Support team as there are developments
Other projects as assigned.