דרושים » תוכנה » Senior Software Engineer (Core Analytics Engine)

Were a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!

You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.

Responsibilities
Develop our core analytics engine that automatically turns data into concrete opportunities.
Work closely with our data team to build and take our analyses and DS models into production.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

We are a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!

You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.

You will work closely with other developers and our data team in order to build a complex system that handles massive amounts of data.

Responsibilities
Solve core and crucial problems affecting the infrastructure of the R&D.
Build the next-generation analytics solution
Lead the full development cycle from planning to implementation and deployment to production of complex features
Learn about new technologies, design patterns and try to implement them in the R&D day to day job.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

We are a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!
You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.
You will work closely with other developers and our data team in order to build a complex system that handles massive amounts of data.

Responsibilities
Solve core and crucial problems affecting the infrastructure of the R&D.
Build the next-generation analytics solution
Lead the full development cycle from planning to implementation and deployment to production of complex features
Learn about new technologies, design patterns and try to implement them in the R&D day to day job.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

We are seeking talented and passionate Data Engineer to join our growing Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

Were looking for brilliant data engineers to join our rapidly growing team.

You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights. You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.

Responsibilities
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources

Required Python Engineer
What Youll Do:
As a Senior Engineer in the Purchase Risk Squad, you will play a pivotal role in developing and maintaining mission-critical systems that manage the heart and brain of our primary product. Your contributions will directly impact the teams ability to proactively manage financial risks and meet key financial KPIs. Working alongside backend engineers and AI/ML specialists, you will drive the development of advanced risk management systems that ensure the stability and financial success of our loan product.
Work directly with our Data Scientists within the risk team, leveraging cutting-edge technologies to develop, optimize, and redesign the core services that meet our growing business needs. Your role will be crucial in designing and implementing solutions that enhance our ability to manage and mitigate risks effectively.
Play a crucial role in ideating and developing new capabilities within the risk domain. Your work will leverage technologies and methodologies to introduce novel risk assessment and mitigation solutions, contributing significantly to our mission.
Work closely with internal stakeholders to understand their needs and translate business requirements into technical solutions.
Promote best practices in software development within the team, emphasizing code quality, security, and performance optimization.
Be an integral part of our multidisciplinary development teams.
Stay up-to-date with the latest technologies and methodologies in data science and engineering, incorporating them into your work to drive innovation.

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

we are looking for a Data Scientist to join our R&D team. To become part of our journey in helping digital publishers and businesses improve their business growth, empowering meaningful interactions across their digital assets, generating an undeniable increase in revenue, user engagement, conversions, and overall performance.
Long story short, you will:

Design, build, automate, deploy and maintain machine learning production pipelines, utilizing cloud technologies such as cloud AI / Sagemaker.
Building RAG processes and utilizing LLMs for verius needs.
Deploy and monitor models in production (e.g. building artifacts, measuring model drift, etc.).
Implement and evaluate recommender engines and deep-learning techniques, to work in a production environment and run at massive scale.
Apply complex analytical techniques to derive actionable insights with very good communication skills to write and publish internal documentation to be used by technical and business teams.
Design and execute technical processes needed for experimentation to support an array of business problems, including experiment ideation, experimental design, monitoring, data analysis, code review and communication of results.
Keep up with machine learning research and commercial product offerings across a wide variety of machine learning fields
Role Key Deliverables: Own current recommendation engine modeling stack and its development processes (creation/specification of tasks, daily updates and commitment to deliverables), research and deploy incremental improvements.

We are looking for a curious and passionate Senior Product Analyst to join our Product Team in a full-time position. You will be the data leader within your group, driving data-informed decision-making and providing actionable insights.
Responsibilities:
Contribute to data-driven decision-making with our product team, influence product roadmaps and business planning, and report on outcomes.
Leverage data to understand how users interact with our product and identify opportunities to enhance their success.
Build and maintain dashboards, reports, and alerts using BI tools to monitor performance.
Help define key KPIs and reporting frameworks for the business, and continuously track and evaluate results.
Collaborate closely with Product Managers, Data Engineers, BI Developers, and Software Engineers across the organization.