לוח משרות דרושים Data Scientist

We are looking for data scientists that are passionate about applied and theoretical research in the realm of computational linguistics. As a data scientist, you will join us on our quest to develop novel approaches for generalized AI that can understand and generate natural language. As such, you will study linguistics and mathematical phenomena in order to create new state-of-the-art NLP models that can be applied on, and generalize across multiple domains and use cases.

We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
We are looking for an experienced engineer with hands-on experience in Prompt Engineering and a strong background in Data Science to join our team.
Your role will be crucial in leveraging LLMs and Machine Learning Models to significantly enhance our data-centric threat detection capabilities, making a real difference in our product.
Responsibilities
Write, test, refine, and optimize prompts and LLM models.
Optimize prompts to generate high-quality, coherent, and contextually relevant responses.
Conduct thorough analysis and experimentation to measure the impact of different prompt engineering techniques on model performance and accuracy.
Stay up to date with the latest advancements in natural language processing and prompt engineering methods.
Implement and integrate LLMs and machine learning models within our services and product suite.
Define and Develop our LLM-Ops framework to manage LLMs lifecycle.
Write high-performance code on top of Databricks and Pyspark.
Evaluate and implement machine learning algorithms and Auto-MLs solutions on top of Databricks

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations become stricter, organizations struggle to answer one key question: Is my data safe?
we see the world of cybersecurity differently. Instead of chasing threats, we believe that the most practical approach is to protect data from the inside out. Weve building the industrys first fully autonomous data security platform to help our customers dramatically reduce risk with minimal human effort.
we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.

We are seeking a highly skilled and motivated Data Scientist to join our talented team. As a Data Scientist, you will play a crucial role in developing and optimizing our ML and LLM abilities.
You will work closely with our architects, data engineers, data scientists, and security researchers to design, train and evaluate our machine learning models as well as our state-of-the-art LLM based features.

Responsibilities:
Analyze large, complex datasets to identify patterns and trends that could indicate potential security threats.
Collaborate with cybersecurity research team to understand emerging threats and develop solutions that leverage advanced data analytics.
Design and develop innovative prompts and instruction sets to enhance the conversational capabilities of our language models.
Optimize prompts to generate high-quality, coherent, and contextually relevant responses.
Conduct thorough analysis and experimentation to measure the impact of different prompt engineering techniques on model performance and accuracy.
Stay up to date with the latest advancements in natural language processing and prompt engineering methods.
Collaborate with software and data engineers to integrate ML/LLM techniques into production systems.

We are The data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various Machine Learning models to provide on-demand analysis. You will Design, develop, and implement predictive models, Machine Learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets to identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data -driven solutions for Fair Lending compliance Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices You have Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Why join us
Our company develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, the company has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ongoing learning and development opportunities; monthly wellness reimbursement; volunteering opportunities; charitable donation matching; Keren Hishtalmut on full salary; private health and dental insurance; advanced study fund and various company events.

The CTO consists of highly talented teams and individuals overseeing Data-Science, Security Research, Advanced Development, and Architecture across all Threat Prevention products and services - Cloud, Mobile, End-Point, and Network.

Key Responsibilities
As a Data Scientist, you will:
Design and develop novel, cutting-edge AI solutions for challenging problems in the cybersecurity domain. These solutions can potentially deliver game-changing results involving advanced AI and algorithms.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers, and Data-Scientists to develop and deploy machine learning and AI solutions.

We're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide.
About The Role: As a data Science team leader, you will lead our ambitious Machine Learning and AI initiatives. This role involves leading a strong team of data scientists & ML engineers, focusing on impactful and continuous delivery that directly ties Machine Learning models to business outcomes.
Responsibilities:
* Lead the full lifecycle of Machine Learning and AI projects, from ideation through execution, ensuring they align with business objectives.
* Mentoring team members, and establishing best practices and efficient processes.
* Manage a diverse portfolio of machine-learning models, balancing immediate needs with long-term innovative projects to maximize business impact.
* Analyze a wide array of data inputs to identify opportunities that align with company goals, transforming complex business and product challenges into actionable data science initiatives.
* Collaborate with stakeholders across the organization to drive multiple, concurrent projects to successful completion.

Believer Meats, formerly known as Future Meat Technologies, is a cultivated meat company excited to scale to feed the world. Driven by a mission to ensure that all future generations can enjoy real and delicious meat, Believer’s technology and process will make meat accessible and affordable to all.

Summary of role and team::
We are looking for a Junior Scientist ( Temporary position ) to join our R&D department, which will be part of the Cells & Media Development team. As a Junior Scientist, you will design, run, and analyze experiments and culture Believer’s cell lines to further improve our processes and products. The ideal candidate will have a strong technical background and an eagerness to advance the field of cultured meat. This is a 90% lab-based (hands-on), on-site, position.

Your day-to-day:
As a Junior Scientist, you will –
* Design and execute biological research experiments and data analysis in collaboration with other research assistants and scientists.
* Perform routine cell culture lab work: seeding and passaging cell cultures, cell counting, metabolite analysis.
* Routinely prepare custom-made growth media preparation.
* Collect data and document it.
* Results analysis and presentation according to project goals and timeline.

The Ideal candidate:
Must-Have:
* MSc degree in Life Sciences with at least 2 years of industry experience or PhD in Life Sciences or similar fields.
* Expertise in metabolism and/or cell differentiation processes.
* Experience with tissue/cell culture and aseptic techniques.
* Experience with mammalian/animal cell culture, including cell counting.
* Highly motivated individual.
* Passion and a good teamworking attitude, independent thinking, great interpersonal relationships.
* Fast learner, multitasker, well organized with the ability to keep accurate records with maximum attention to details.
* Ability to work in a dynamic and fast changing environment.
* Excellent verbal and written communication skills.
* Ability to work independently and as part of a team.
* Critical thinking and problem-solving mind.
* Ability to work in a dynamic & fast-paced environment. Nice to Have:
* Familiarity with bioprocessing/biotechnology. If you want to take part in the development of a worldwide-impacting product, your place is with us. Join the revolution today. Join Believer Meats!

Technology with a purpose. At BeeHero, we believe that our highest calling is to leverage the power of technology to solve the important problems that humanity faces today. We are committed to making a positive impact on the world by applying our ideas and vision to create a more effective pollination solution. BeeHero 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 BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources.

Responsibilities:
We're looking for a dedicated Senior Data Scientist to join our office in Tel Aviv to be a key player in BeeHero'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 seeking an experienced and skilled product manager to lead product strategy, drive alignment with partners, and drive execution to implement innovative controls, capabilities and solutions across the Financial Integrity Compliance platform.
Product Manager, Financial Integrity Compliance Responsibilities
Identify, prioritize, and deliver clear short-, mid-, and long-term goals aligned with business priorities, and guide the team through key milestones
Drive the team through vision setting, strategy, OKRs and execution, considering technical and analytical constraints
Partner closely with XFN leads (Engineering Manager, Data Science, Data Engineering, etc.) and partners (product teams, compliance, legal, operations) to drive impact together
Actively work with teams across Monetization and Integrity orgs to identify synergies and initiate partnerships to create business value
Collaborate with Financial Compliance Operations to optimize the efficiency and effectiveness of our run-the-business activities
Effectively communicate and influence stakeholders at all levels of the organization

a mission to change the way we, as a society, take care of every older adult who needs it. We are leveraging the power of AI and data to ensure safety, dignity, and satisfaction in every caregiver-care recipient interaction.

Why Sensi
Work with a purpose. Join us in creating an ideal care environment for older adults. Be a part of our founding team, help us make Sensi a new industry standard for the long-term care industry.

About the role:
This role is a critical component in any AI-driven machine. We are looking for a detailed and audio-oriented individual to join our team to help train AI/ML and improve predictions quality. As a Junior data annotator in the AI team, you will be responsible for annotating and analyzing various data sets and drawing intelligent conclusions to support our mission to train machine learning algorithms and clients.

Were seeking an experienced and skilled Senior Software Engineer or Senior Data Engineer for our Data Infrastructure team.
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 senior engineer, you will be responsible for designing, implementing, and maintaining various data services to enable internal teams to process, store, orchestrate, and consume data effectively.
The ideal candidate will have a strong background in data and backend engineering and a track record of designing and implementing scalable data solutions. The Data Infrastructure Engineer will collaborate closely with software engineers, data scientists, data engineers, and other stakeholders to understand requirements, design solutions and implement data-related features and functionalities.