לוח משרות דרושים הייטק דאטה

We are looking for a capable, passionate, and experienced Senior Data analyst, with a passion for analyzing large volumes of data and extracting insights for our customers.
What You'll Do:

Full responsibility of data classification engine logics

Creating detection logic for any type of sensitive data

Research and design new approaches of detection using big data and ML algorithms

Develop and implement monitoring tools to ensure the effectiveness of our data classification system, automating KPI evaluation processes.

Data validation and ensure data integrity of the product.

Utilize data analysis techniques to support internal decision-making processes, including research and development efforts, visibility expansions, and data integrations

We are seeking a dynamic and experienced business intelligence (BI) team lead to join our growing organization.
The BI team lead will be responsible for leading a team of BI analysts and developers to deliver high-quality BI solutions that drive business insights and support strategic decision-making.
The ideal candidate will possess strong leadership skills, technical expertise in BI tools and technologies, and a proven track record of successfully managing BI projects.
Key Responsibilities:
* Lead a team of BI analysts and developers, providing guidance, mentorship, and technical expertise.
* Collaborate with stakeholders to gather and analyse business requirements for BI projects.
* Design and architect scalable and efficient BI solutions that meet business requirements.
* Oversee the development and maintenance of data warehouses, data marts, and other data repositories.
* Design and develop interactive dashboards, reports, and data visualizations using BI tools such as Power BI, QlikView, etc.
* Monitor and optimize the performance of BI solutions to ensure fast query response times and efficient data processing.
* Build strong relationships with stakeholders across the organization, including executives, department heads, and end-users.
* Provide training and support to end-users on BI tools and technologies.
* Stay abreast of industry trends, emerging technologies, and best practices in BI and analytics.
* Manage BI projects from initiation to completion, ensuring timely delivery and adherence to project milestones and budgets.

Our company is a global pharma company providing access to highly innovative therapies to patients in international markets.
Our company commercializes highly innovative therapies across international markets, helping to save and improve the lives of patients suffering from the most challenging diseases.
Our company has deep expertise in local regulatory and market access know-how and uncompromising compliance excellence.
It offers an affiliate-like partnership and tailored solutions for country-specific and regional commercialization, enabling emerging biotech companies to navigate local complexities and expand their reach to patients in international markets.
Our company is rapidly growing in the international markets, backed by 25 years of established operations in Israel, global infrastructure, and a partnership network.
Our company is headquartered in Israel, with its international markets HQ in Switzerland and commercial hubs across the Baltics, Central and Eastern Europe, the Balkans, Greece, and Canada.
We seek a highly skilled and experienced Data and Business Intelligence (BI) Manager to join our global pharmaceutical company.
The ideal candidate will lead the companys data management strategy, develop and maintain data warehousing, business intelligence, corporate performance management (CPM) initiatives, and project management, reporting directly to the Vice President of Business Technology.
Responsibilities:
Develop and Implement Data Strategy: Create a robust data management strategy aligned with business goals, ensuring data integrity, security, and accessibility.
Lead Data Infrastructure: Oversee the design, development, and maintenance of the data infrastructure, focusing on scalability and reliability.
Manage Data Experts: Provide leadership and mentorship to a team of data experts and BI analysts, driving innovation and excellence.
Collaborate for Insights: Work with cross-functional teams to identify data-driven insights and trends that support strategic decision-making and business growth.
Optimize BI Tools: Implement and optimize BI and CPM tools (e.g., Qlikview, Power BI) for self-service analytics and reporting capabilities.
Track KPIs: Define and track key performance indicators (KPIs) to measure data management and BI effectiveness.
Project Management: Lead and manage data and BI projects, ensuring successful execution and alignment with business goals.
Stay Current: Keep up with industry trends, best practices, and emerging data management and BI technologies.
Promote Data Literacy: Foster a data-driven culture through training and workshops.
Adaptability: Exhibit agility in responding to changing business needs and adjusting strategies accordingly.
Leading a team of Data & BI experts.

A foodTech and AI company, uses plant biodiversity to create better food, improve quality, reduced cost, and promote food security.
Through our technology and using Machine Learning and AI, we strive to improve efficiency and bring projection and visibility to the plant food supply chain.
Using years of experience in breeding various crops to target performances, as well as tools and techniques from biochemistry and data science, we enable different actors along the supply chain to make better decisions and optimize processes to decrease waste and improve profitability.
We are looking for a highly motivated Senior Data Scientist to join our expanding Data & AI team.
As a senior data scientist, you will be responsible for working with potentially unstructured data, cleaning, preprocessing, and solving complex problems that may not have textbook solutions.
What youll do:
As a senior data scientist, youll bring your knowledge and expertise to improve existing, as well as design and implement new methodologies to utilize proprietary and public data. To better understand.
You will be tasked with predicting grains, legumes, and other crops processability, and functional behavior in food applications, and grading for various end uses.
Full-time job, located in Givat-Brenner, hybrid work environment (Reliable transportation required).

We are seeking a Sr. Data Engineer - Analytics.
We develop a platform that collects data from dozens of sources and uses AI and data science to extract insights for making fast and optimal business decisions.
We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.
Our recently refurbished offices are in Tel-Aviv and we employ a hybrid work from home model.
On a typical day, you will:
Use Python and SQL to develop, scale, and optimize advanced data pipelines.
Merge multiple data sources into a clean, unified, and integrated single source of truth.
Ensure data integrity, freshness, and best practices in our growing data lake.
Manage and optimize data infrastructure, ensuring high performance, security, and reliability.
Collaborate with stakeholders across the company and support business insight requests.

Our company is a data -driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns.
This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With company's technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about managing their land and resources.
We're looking for a dedicated Senior data Scientist to join our office in Tel Aviv, to be a key player in company's success.
On the day-to-day, you will analyze large amounts of information to discover trends and patterns in the beehive regarding hive state, health, nutrition, and much more.
You'll be alternating between individual projects and team efforts, and you will:
Plan bee-hive and crop-pollination in-field data acquisition.
Build predictive models and algorithms from this data.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Most importantly, work in an accepting community full of creative, fun-loving individuals such as yourself, and immerse yourself in the enchanted world of honeybees.

We are looking for an experienced Project Manager to lead one of the most strategic initiatives within the Seller Management team and own the teams business operations.
As an Analytics Project Manager, you will ensure that we have the right quantity and quality of sellers - across a broad range of skills, experience levels, and price points - to meet our buyers diverse needs.
The ideal candidate has a professional background as a Data Analyst - with proven experience in complex data analysis - who is looking to transfer their analytical skills to a strategic business role.
What am I going to do?
To succeed, you will need to lead and deliver three main initiatives:
In the short term, you will develop and lead the creation of supply management capabilities, to enable the identification of supply gaps. You will extract data to determine supply levels on each shelf, map all the parameters that affect supply levels, determine optimal supply thresholds and buckets, and define supply gaps relative to the required demand, across categories, prices, languages, and professional levels.
In the medium term, you will scale tools to mitigate those supply gaps. You will work with cross-functional teams - such as Product, Data, Professional Evaluators and Verticals - to analyze the current supply state; formalize business cases; and identify, design and build the necessary features and tools.
In the long term, once youve successfully created and implemented the supply management capabilities and tools, you will own our supply management operations, and be responsible for its business metrics, such as the quantity and quality of sellers, and level of e-commerce experiences.
Ultimately, you will lead end-to-end project ideation, planning, and execution, guided by heavy data-driven decision-making, and upon successful implementation, serve as the Supply business owner. Accordingly, this role demands proven experience in complex data analysis, structured problem-solving skills and project management.

We are looking for a Data Analyst Team Leader.
As a Data Analyst Team Leader, youll lead a team of analysts in constructing our next-gen data infrastructure, playing a crucial role in company decisions.
Youll collaborate with various stakeholders and departments, including product, business development, marketing, finance, customer support, and more.
You'll discover key insights from a range of data sources, shedding light on user behavior, feature adoption, operational efficiency, and other metrics and trends.
In this role, your mission will be to gain a profound understanding of the business, transforming raw data into actionable intelligence to guide our data-driven decision-making at every step of the way.
You'll simultaneously build and mentor our analytics team, supporting their growth and skill development.
This isn't just a job; it's a thrilling journey that will steer us toward unprecedented success!
Responsibilities:
Manage a team of 4-5 data analysts
Lead the implementation and utilization of Google Analytics within the organization
Conduct analysis on large, complex data sets reflecting user behavior, ensuring data quality, and maintaining high standards of communication and delivery
Look beyond the numbers to inform, influence, support, and execute our business decisions
Address complex challenges concurrently in a large-scale production system environment
Offer actionable recommendations and conclusions derived from data to shape our features and product roadmap
Proactively strive to enhance and refine your team's performance by supporting their growth and strengthening their skill set

A new team that provide valuable business and product insights for Field Operations that serve millions of customers.
The team will handle analysis of various KPIs including recurrent dispatched, technician utilization, route optimization and more.
It will involve measurement of many web and mobile applications to measure user-behavior, usage and efficiency.
We take responsibility for the entire process, from event definition and data engineering (including some ML) to visualization tools.
This role is for an individual contributor until a team is assembled.
Responsibilities:
Lead data analysis activity for several products and projects around in Field-Operations
Be the data focal point for various teams, providing insights and ideas for new functionality
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments
Proactively provide meaningful insights and actionable recommendations that drive decisions
Recruit new team members and mentor them

We are looking for a Senior Product/Data Analyst.
The product analytics team delivers valuable insights for data-driven
decision for a mobile app that serves Millions of customers.
This application incorporates digital features related to Purchasing, Account Management, Billing and Payment and Support.
Our team oversees numerous business KPIs and employs cutting-edge tools and strategies.
We take responsibility for the entire process, from Event definition and data engineering (including some ML) to visualization tools.
Responsibilities:
Product-analysis activity for an application that serve millions of users
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics
Collaborate with data engineers to aggregate and clean large data sets in use
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments
Proactively provide meaningful insights and actionable recommendations that drive decision

we are looking for a Senior Data Scientist
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).

Senior data Scientist This is a unique opportunity to join the company at its early stages as one of its first employees, where you will be entrusted with the crucial task and the resources needed to shape the creation of a game-changing product with the potential to positively impact millions of lives.

We are hiring a senior data scientist to join our data science team.
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 creating novel precision medicine technology. Come join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.
We believe that talents are our most valued asset, and as such, hiring the right people is one of our most strategic missions.
Position Overview:
The data science team provides the bottom line to our customers which patients are the best fit for a cancer treatment and what is the chance of success.
We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results.
We work together with subject-matter experts, from medical doctors to software engineers, to leverage computer vision, focus on the most promising biological hypotheses and to productionize our capabilities.
Responsibilities:
Independently lead the data science perspective in any project or assignment from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
Contribute to the team's internal codebase with high-quality code and development standards.
Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.
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.
Won the Atlas Award.
Work with amazing people that share a passion for using technology as a tool to achieve great things.