דרושים » תוכנה » Senior Data Scientist

A dynamic fast-paced start-up company, transforming the way reliability of electronics is achieved. In a world where machines are gaining immense responsibility over our lives, sudden failure is not an option.
We have developed a cloud-based platform, which combines data created in chip-embedded Agents (IPs), with machine learning, to predict faults before they become failures. Our solutions provide unprecedented insights throughout the value chain, from Chip Vendors to System Vendors and Digital Service Providers.
The company was founded by seasoned industry veterans, including three former founders of Mellanox Technologies, with deep knowledge and experience in the electronics industry and is backed by worldwide leading investors.

we combine different disciplines to create a revolutionary solution. Our team is highly interdisciplinary, ranging from SaaS and Machine Learning experts, to top designers in Chips and Circuits, as well as masters of EDA. We work together and learn from each other.

We are looking for a Data Analytics Engineer who is results oriented, have strong analytical skills, attention to details and would like to be a part of building exciting company.
Responsibilities
Analyse pre/post-silicon data and develop algorithms for our proprietary big data analytics platform for ICs and application level. Interact with customers on integration and problem-solving
Working with customers on solution integration pre/post-silicon
Performing data analysis and providing insights on data extracted from pre/post-silicon stages
Working with the R&D teams to implement algorithms in the analytics platform
Working with IC design groups to characterize and enhance circuit performance
Supporting customers with analytics platform problems solving and new features introduction

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.

an automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying predictive models in various business use-cases, such as life-time value, Churn, demand forecast and more. connects to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel's 50 most promising startups two years in a row.

Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
90+ employees and growing very quickly
HQ in Tel Aviv with growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.
The Data Analyst is a part of the Customer Success team, which is responsible for all of our clients, starting from the POC stage and through deployment in production environments. The CS team assists our clients in the design, planning, and implementation of predictive analytics programs. We are looking for an enthusiastic and client-focused data analyst.

What You'll Do

As a data analyst, you will work at the forefront of the data world, by creating and optimizing predictive models and assisting our clients to use those predictions to affect their business and generate value.

Together with the team, you will be continuously helping our clients achieve their business goals and reinforce the value. You'll assist in covering data and technical aspects of integrating clients systems with our predictive analytics platform.

Typical tasks of the position are:

Collaborate with the clients business stakeholders, gather technical requirements, and understand the need for predictive models.
Analyze large volume of data sets using different coding languages as SQL and Python.
Analyze the models outputs and explain complex concepts in simple words.
Collaborate with clients teams and translate business needs to data solutions.
Be the data and technical point of contact for our clients, and understand their needs.
Develop tools and data research to improve the quality of predictions.

We are growing and are looking for future workers who value personal and career growth, team-work, and winning!

As part of our rapid growth we are looking for a Product Analyst to join the data group in our product department.

What your day will look like:
Collaborate with members of the Product, Engineering and Data teams to improve business decisions using data, identify process improvement opportunities.
Assist the product team in improving presented value, propose system modifications, and devise data governance strategies.
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring.
Extract and analyze data coming from our product, using different data platforms and tools (Snowflake, Python, etc.).
From your analysis, generate content and configurations that would then be loaded into our production engines to deliver improved customer value.
Present key findings to stakeholders across the company in order to drive business and product decisions.
Explore new and unmapped data domains that can push our product and customer value forward.
Become the focal point for all data related matters in your projects, own and manage multiple data projects on an on-going and an ad-hoc basis.
Develop automated solutions to collect and extract data from external sources to accelerate manual operations.

Required Product Analyst
As a Product Data Analyst, you'll play a crucial role in shaping our product roadmap. We're looking for a passionate analyst who is comfortable with analytics, someone who understands how to use large data sets to solve real-world business problems. Someone who thrives on providing technical expertise to quickly deliver insights to the business. We view this role as a trusted advisor to our internal business partners to help them make decisions around strategy, priorities, and tactics.
This will involve:
Collaborating closely with multiple cross-functional teams including product managers, data engineers, business intelligence analysts, product engineering, product marketing and strategy.
Recommending and executing analytics projects - ranging from exploratory data analysis, descriptive statistical methods, experimentation, multi-variate testing and conducting user research.
Ensuring our product feature instrumentation is aligned towards company and product goals, is aligned to best practices and data governance standards.
Quantifying and easily communicating the drivers of business performance to senior leaders. Advising them on ways to change outcomes through recommended calls-to-action, operational and strategic changes.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

we are a rapidly-growing mobile gaming startup located in central Tel Aviv. Were now looking for an Analytics hawk to soar with our team! Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones! If youre an eagle-eyed, sharp, intelligent, data -driven analyst, with a love for stats and numbers, wed love to talk! The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data -driven solutions across the company.
Responsibilities:
* Managing master data, including creation, updates, and deletion
* Analyzing large and at times complex data sets of user engagement and ultimately come up with decisive data -driven understanding that can aid in executing business decisions
* Provide clear recommendations through analytic conclusions that ultimately affect game features, monetization decisions, game economy, etc.
* Build and maintain reports, dashboards and metrics to monitor product performance
* Helping develop reports and analysis
* Plan and analyze effective A/B tests in order to improve business KPIs
* Develop a deep understanding of company products to meet the company's current and future goals
Advantages:
* Experience with the gaming industry Strong advantage.
* Experience with Product Analytics tools
*  Python knowledge.
* Experience in building ML Models.
* Experience working in Scrum.
* Passion for games

Were now looking for an Analytics hawk to soar with our team!

Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones!

If youre an eagle-eyed, sharp, intelligent, data-driven analyst, with a love for stats and numbers, wed love to talk!

The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data-driven solutions across the company.

RESPONSIBILITIES
Managing master data, including creation, updates, and deletion
Analyzing large and at times complex data sets of user engagement and ultimately come up with decisive data-driven understanding that can aid in executing business decisions
Provide clear recommendations through analytic conclusions that ultimately affect game features, monetization decisions, game economy, etc.
Build and maintain reports, dashboards and metrics to monitor product performance
Helping develop reports and analysis
Plan and analyze effective A/B tests in order to improve business KPIs
Develop a deep understanding of company products to meet the company's current and future goals

Required Business/Data Analyst - Marketing
Job Description:
Leverage all the information we gather from different sources to help make data-driven decisions thatll build our strategy and drive brand recognition, growth, and engagement
Develop and run quantitative analyses and reports while working with enormous amounts of data, in order to give actionable business insights
Be the data and analytical lead on projects across the group, partnering with the different teams to define, execute, measure, and optimize our core business models
Plan, execute, and analyze a wide range of tests in order to improve how we engage with our users
Promote awareness and understanding of our key metrics by developing automated tools and visualizations.

A global leader of iLottery solutions and services to national and state-regulated lotteries.

We are part of the Group, an iGaming powerhouse with 1100 employees spread across 8 countries.

we pride ourselves on our People first culture. Not only has it been a core value in our organization for as long as we can remember but it also runs in our DNA and is felt in every aspect of our operations.

The Core Product department owns the groups product strategy and is looking for a Data Product Manager to be part of data product team and coordinate the development of the data products spanning the central data lake, modern reporting & analytical tools, and automation.
The chosen candidate needs to be passionate about designing robust data-driven products to deliver insightful analytics and digitalization for efficient processes across the group and its customers.
What You'll Do
Responsibilities: Be a Data expert and have a deep understanding of how the data works; data producers, ELT/ETL process, data consumers, data quality, data architecture, analytics, machine learning, and cloud services.
Leading the entire Data product lifecycle: product roadmap, maintain frequent communication with different clients to understand business needs and translate these to PRDs, Features and User Stories, Interface with data engineers and QA, finalize the delivery and launch of innovative products.
Work closely with the rest of the product organizations on new initiatives to facilitate the requirement gathering process early on.
Contribute to the overall data architecture, including the investigation of data assets, technical platforms, integrations, and processes across functions, documenting the knowledge gathered.
Be a hands-on product manager involved deeply in the day to day of the data engineering team.
Oversee implementation and release workflow and deadlines.
Responsible for the Agile framework (dailys, sprint planning, retrospective).
Work with Marketing to provide Data & BI platform awareness and guides - both internally and externally.