דרושים » תוכנה » Data Engineer

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 hiring a Medical Data Specialist to join our Data team.
In this role youll get the opportunity to build image analysis models powered by AI, and do something that really matters to biology research and immune treatment.
Join our core team of med students and biology majors to help define better treatment for cancer patients!
A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision, and preferably using the most advanced technology. We bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.
W believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions.
Position Overview:
In charge of annotating samples from diverse pathology slides incl. H&E, IHC, Multiplex assays.
Working closely with the scientific & algorithmic teams to reach the utmost image analysis accuracy.
Participate and lead conversations with leading pathologists.
Why join us? There are plenty of reasons:
Your job matters, use your experience and skills to implement solutions that save lives.
Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
We are open to creativity and welcome innovative ideas and implement best practices.
Be a part of a fast-growing startup backed by top VCs.
Won the Atlas Award.
Work with amazing people that share a passion for using technology as a tool to achieve great things.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for an experienced Data Analyst to join our Data team As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.
A day in the life and how you’ll make an impact:
* Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
* Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
* Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
* Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.

We are seeking an experienced, data-driven individual with a strong background in data analysis and BI development to join our growing team.
Our team is at the forefront of data analysis and BI solutions on mobile devices, driving content recommendations to over 400M active devices worldwide. As part of your role, you will leverage complex business analysis, and extract insights that will significantly impact our business success and drive strategic decisions.
You will lead end-to-end BI projects, work on requirements, craft solutions, develop complex ETLs, and visualize actionable insights.You will collaborate directly with cross-functional teams, as well as internal and external stakeholders, to understand business needs and provide reliable and innovative data analysis and BI solutions.
Transform billions of daily events into critical information, business insights, and graphical dashboards that will drive meaningful impact for our business.If you excel in analytical thinking, BI technical skills and possess a strong passion for data analysis and BI development, this role would be just perfect (!) for you.
What you'll be doing:
Derive meaningful insights and actionable value from data and effectively communicate it to diverse stakeholders. Collaborate closely with Management, Product managers, Data Science, R&D, Sales and other teams
Develop complex SQL queries and work with a variety of relational and non-relational databases, including Redshift, MySQL, SingleStore, and others
Architect and implement BI ETL pipelines, reports, and dashboards to illuminate product and business performance, using various tools including Airflow, Python, Jenkins, among others
Design and deploy visually compelling data visualizations using platforms like Looker, Tableau and others
Engage in the data aspects of product and feature development and assessment, establish product reporting frameworks, and analyze outcomes of A/B testing.

We are looking for a Decision Scientist to join our team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results-oriented, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!

What You'll Do:
Designing data-driven products and algorithms within the companys core acquisition engine and deploying them end-to-end.
Hypothesize theories and prove them in production within hours (instant data gratification!).
Bring huge and immediate impact by beating the market and directly affecting the companys financial performance.
Work with fellow Data Scientists, Researchers, BI to help prove/disprove theories and dive into the root cause of anomalies.
Enjoy a high level of autonomy in a fast-paced business and work environment within an organization in the hyper-growth stage.
Collaborate with a team of A-player researchers and engineers to solve complex data and market problems.

the most advanced intrinsic in-game ad solution for mobile, PC, console, and the metaverse. in-game ads put players first and help advertisers reach audiences programmatically in a non-disruptive and highly engaging way. A patented 3D ad tracking engine, the first to bring viewability measurement in-game with Oracle Moat and IAS, partnerships with trusted AdTech vendors, and compliant with the industry measurement standards outlined by the MRC and IAB make the preferred in-game advertising partner for brands and agencies worldwide.

helps game developers monetize their titles with ad placements that complement the gameplay, and by monetizing the entire game session, they benefit from consistent and reliable revenue streams. Supporting all major and custom built game engines, and a full-stack ad monetization solution that provides complete control over ad placements makes the preferred in-game ad monetization partner for developers worldwide.

Backed by Sony Innovation Fund, NBCUniversal, Samsung Next, Bandai Namco Entertainment 021 Fund, WPP, PayPal Ventures and many other prominent investors, is on a mission to make advertising in games better. Better for brands, better for game developers, and better for gamers. Learn more.

Were looking for a Data Scientist with excellent analytical skills to join our data team and take part in the development of next-generation data platform.

Implement data cleaning and preprocessing techniques to ensure the integrity of data
Develop predictive models for bidfloor optimization, bidding strategies, pacing management, and more
Write and improve queries to build our reporting pipeline
Analyze time-series data to identify trends, seasonality, and anomalies, enabling proactive decision-making and improving our time-series machine-learning models
Create and maintain data pipelines for ingesting, cleaning, and transforming large volumes of data
Learn, work, and gain confidence with big-data and engineering technologies (Druid, BigQuery, Airflow, Kafka, etc.)
Read and apply academic research papers to explore and implement cutting-edge data science methods and technologies
Collaborate and assist in customizing analytical solutions with multiple teams to deliver insights and solutions using data
Work closely with the Infrastructure team to develop and release new features
Work closely with the business teams to resolve complex requests and come up with solutions using data
Build data pipelines and schedule jobs for our reports, models, ETLs, etc.

MA?LYS is one of the fastest-growing global D2C startups with a self-built e-commerce platform that allows us to leverage data and optimize marketing funnels to bring clinically tested body care products to women worldwide. With years of rapid growth and millions of customers worldwide. MA?LYS is on track to become one of the biggest body care brands in the world. The company has built a strong tech backbone to leverage its data, collected over the span of dozens of million of $ in online advertising spend. The data analysis and predictive modeling guide the company’s decision making and play a central role in its success, creating a unique competitive edge over the industry and other e-commerce players. We are a team of people who want to make lasting, impactful changes, who live (and love) to see results, who innovate with passion, and who love a good sense of humor. Is our vibe your vibe? We are seeking a highly skilled Data Engineer to join its exceptional Data Team. You will play a crucial role in building the data foundations, which play an essential part in the company's growth engine.
Your life at MA?LYS will look like…
* Developing and maintaining scalable data pipelines and analytics infrastructure
* Build the infrastructure and processes required for optimal extraction, transformation and loading of data from a wide variety of data sources, using Python, Airflow, Rivery and BigQuery.
* Full responsibility for company & data department monitoring, logging and anomalies, support the Data scientists and data analyst’s requirements and needs
* Collaborate with varied teams and departments in order to deliver useful & insightful data products
You will thrive in this role if you have…
* 4+ years of relevant experience as a Data Engineer
* Strong knowledge of SQL.
* Strong knowledge of Python.
* Experience in managing and maintaining cloud resources
* Experience with BI tools (Tableau/Power BI/Looker/Sisense or similar)
* Experience with Data Warehouses
* Experience building ETLs
* Understanding business processes and collecting user requirements Advantages:
* Experience with Airflow
* Experience with GCP and streaming components
* Experience with Power BI

Who are we??? A pioneering music and art platform, committed to empowering creators with accessible and high-quality content. We are obsessed with our customers, value fast delivery, thrive on creativity, and champion collaboration. We believe in fostering an environment where innovation meets art, and music fuels creativity.
Position Overview:
We are seeking a passionate and experienced data Scientist to join our dynamic team. This role is ideal for someone who is product-oriented, thrives in a fast-paced environment, and is focused on delivering tangible value to our users. With at least 3 years of experience in the field, the ideal candidate will bring a blend of technical expertise, creativity, and a love for music and art to our team.
Key Responsibilities:
- Design, develop, and deploy Machine Learning algorithms from inception to production, leveraging machine and deep learning frameworks
- Work collaboratively with product managers to define problems, identify solutions, and iterate on feedback to refine those solutions.
- Deliver end-to-end Machine Learning -based features at a rapid pace, ensuring high-quality and impactful user experiences.
- Engage in research and application of cutting-edge technologies, including Multimodal models, and large language models (LLMs), to drive innovation within our platform.
- Contribute to the development of recommender systems and search functionalities, enhancing user engagement and satisfaction.

Were a group of authentic, curious, intelligent, and playful problem-solvers who enjoy succeeding together. Founded in 2015 and operating as a bootstrap startup for seven years, was acquired in 2022 by mega mobile publisher Zynga/TakeTwo Inc to bring our to the next level.

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).
Roles & Responsibilities
Identify valuable data sources and automate collection processes.
Undertake the preprocessing of structured and unstructured data.
Analyze large amounts of information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Propose solutions and strategies for business challenges.

We are looking for a Product Analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
We currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our employees have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
Define and analyze A/B tests to optimize product performance and understand user behavior
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.