We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.

As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.

What does the day-to-day of a ML & Big Data Analyst look like:

Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of data and algorithms.
Utilize your deep understanding of data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

Our flagship game, Dice Dreams, is a global sensation and a top-100 grossing hit, while our upcoming game, Domino Dreams, is on track to follow in its footsteps.

Headquarters are in Tel Aviv, and our staff has expanded to include numerous skilled, devoted, and ambitious individuals.

Our plans for the future are even more fascinating. If you'd like to be a part of our journey, please take a look at the job description below.

What will you do in SuperPlay?
Design, develop, implement and support robust and scalable end-to-end BI solutions to improve business analysis capabilities
Own the data pipeline! Understand the data behavior including business knowledge, methodology and architecture
Serve as a key player in the Data team, working closely with cross-organizational teams (R&D, Product, Finance and more) to understand business objectives and provide analytical support for strategic initiatives
Proactively identify opportunities for process optimization

we are looking for a Data Enablement Engineer.
The successful Data Enablement Engineer will take a crucial part in the
teams efforts of managing and maintaining our existing production systems, working with technologies such as MySQL, SingleStore, Snowflake, Kafka, Airflow, Cassandra, Spark, Docker, Kubernetes and more.
The Data Enablement Engineer will build cloud-based data infra solutions, by mixing in-house, open-source & SaaS technologies, that will be used across all business units.
Being an organization that manages petabytes of data, the need for sophisticated and creative solutions to store, consume, and process data to gain important business value is a top priority, and the Data Enablement Engineer will have the ability and the room to stand out and push innovations he\she will bring to the table.
Since the team manages all of our data infrastructure the Data Enablement Engineer will also take part in OPS-related efforts managing and automating our technology stack.
You should be a Team player, a quick learner, and have a Can Do approach.

we are seeking a Senior Data Scientist to join our Innovation Data Science team to develop cutting-edge data products in its industry-leading B2B sales and marketing intelligence platform. If you are a visionary data scientist who thrives on transforming data into high impact customer-facing applications, this is an exciting opportunity to help propel our business to new heights.
What will your job look like:
Serve as an authority within the Data Scientists team, crafting use cases and solutions for NLP/Generative AI/ML.
Integrate closely with business leaders as a trusted and influential contributor, to understand their needs and advise on the right AI/ML-driven solutions, ensuring that Data Science outputs achieve maximum impact.
Identify key signals that drive a user's next best action in order to optimize sales outcomes using advanced probability, statistics, predictive performance, and ML/RL.
Design and implement state-of-the-art models to help our customers in achieving their goals of identifying high-intent companies and contacts, optimizing customer engagement and conversion rates over time.
Build innovative new AI solutions, enhance existing models, drive continuous improvement and keep us ahead of industry trends. Promote a culture of continuous learning and knowledge sharing within the team.
Partner with ML engineers to review and co-optimize technical designs. Support the productionization and deployment of data science models and pipelines, ensuring scalability, reliability, and efficiency in real-world applications.

If you are up to the challenge, join our team! What will your job look like?
You will be a leader and source of knowledge/ subject matter experts in the data Scientists group to design Generative AI/ML use cases and solutions.
You will be building innovative AI/ML models and POCs with clients
You will be integrating deeply with business leadership as a trusted and influential contributor to ensure maximum impact of data Science / Generative AI / Machine Learning outputs
You will be engaged with partners and clients to develop new business and future AI/ML Use case catalogs.
You will support and showcase a long-term research agenda aimed at generating innovations to solve critical business needs and challenges
You will be working closely with internal and external groups, understand the needs, and work with the team to identify the solution using AI/ML models and use cases, working with the Pre-sales/sale on prospecting opportunities and the overall pre-sale cycle.
You will present results, including the preparation of patents and white papers and facilitating presentations during conferences.
Collaborate with our customer's business and IT teams to implement business and IT requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)
You will hands-on working with the team and support them during the work life cycle, end-to-end flow from data research to creating the AI/ML Models and algorithms supporting the need to provide the best outcomes.
This is a full-time position. 
Why you will love this job:
We are a multi-cultural organization that constantly innovates and empowers our employees to grow. Our people are passionate, daring, and phenomenal teammates who stand by each other with a dedication to creating a diverse, inclusive workplace!
In this role, you will delve into the application of cutting-edge data Science and Generative AI technologies on extensive datasets. This position also provides a platform for continuous learning and staying updated with the latest innovations in the field.
You will be able to demonstrate an understanding of key business drivers and ensure strategic directions are followed and the.

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 the 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

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of AI platform. Develop models and framework solutions for the group.

We are seeking a Senior Data Scientist to join our engineering team. This role is pivotal in guiding our developers to build AI-based solutions that solve complex business problems. The ideal candidate will have rich experience in building end to end innovative AI solutions. He should have a strong understanding of supervised machine learning as well as knowledge in how to tackle AI challenges with LLMs. They will collaborate closely with product and engineering teams to integrate these solutions seamlessly into our products.

Responsibilities:
Identify opportunities to implement AI solutions within our product to enhance product experiences and operational efficiency.
Collect and analyze diverse financial datasets to implement AI proof of concepts to address specific business needs.
Own end to end AI processes, from problem definition through the research phase and all the way to implementation. Break down complex tasks to actionable steps and create well defined work plans
Collaborate with developers, product managers, and other stakeholders to ensure effective integration of AI solutions.
Stay updated with the latest advancements in AI technologies and apply them to deliver customer benefits.
Provide technical leadership, mentor junior data scientists, delegate tasks, be a thought leader on AI and balancing immediate and long-term priorities.

Our SOC Architecture team is looking for a Senior Data Scientists with SW development skills and HW-System architecture experience. Do you want to be part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning experts to define the next generation SoC? We are developing processor and system architectures that are at the forefront of accelerating machine learning, automotive and high-performance computing applications. We are building the most advanced SoC's in the world for these applications.

In this position, you will develop Data sets, AI Models and Train AI models for advanced system architecture Power and Performance features, you will have the chance to explore and define future aspects of our architectures that bring together our GPUs, custom processors and accelerators into a single chip. As part of the development flow you will be involved with building performance models, automating analysis work flows, data generation and characterisation for pre and post silicon. You will work with our HW & System architects, software, ASIC design, verification, physical design, VLSI and platform teams. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.

What youll be doing:

Dataset generation, preparation, AI model training and algo tuning.

Perform performance, perf @ watt, and power modelling and analysis to optimize our architecture. System C/C++ model development and validation. For Early SW development and verification Reference.

Drive automation & tools for architectural exploration and analysis work.

Post-Silicon production support with silicon debug, analysis for performance and power optimization.

Collaborate closely with our SoC Architects to understand and initiate efficiency improvements.

Understand and analyze the interplay of hardware and software architectures on future algorithms and applications.

Were looking for a Data Scientist to join our Shopper Solution!

As a Data Scientist, you will work on the very core of the shopper solution. As part of a heterogeneous team of data scientists and engineers, you will build end-to-end data processes and algorithms turning rich raw signals into deliverable metrics on the e-commerce world. This role provides an opportunity to tackle a wide array of data sources using a rich toolbox of algorithms and big-data tools and technologies.

So, what will you be doing all day?

Your role as part of the R&D team means your daily responsibilities may include:

Develop statistical and machine learning algorithms on large scale data to estimate key sales and behavior metrics
Own end-to-end data processes and pipelines (Reasrch and POC to production) while collaborating with data engineers to reach desired production results
Work together with product, design and R&D teams to plan and build relevant data based features on the E-commerce environment
Design and own ongoing validation and monitoring of on going processes