לוח משרות דרושים Data Scientist משרה מלאה

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
Manage a team that 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 and 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
Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities
Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices
This position reports to the Fair Lending Data Science Manager

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

We are looking for a talented data Scientist to join our international team and contribute to the development of advanced models in various domains.
This opportunity is a gateway to a world where business work and cutting-edge technology meet, and it's designed for those who want to make an impact, innovate, and lead in the Big Data realm.
Hybrid Model.

Technology with a purpose. 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 our 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 our 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.

Globalbit in collaboration with a start-up company dealing in the field of neuroscience and pharmaceuticals which is growing a lot with established projects for the coming years is looking to expand the data science team. We are looking for a senior data Science specializing in algorithms in the field of computer vision and image processing. This is a role well suited to an ambitious professional, looking for the next step in their career. As a Senior Computer Vision Scientist, you will be responsible for:
* Complex, real-world problems with immediate impact on patients lives. You will solve computer vision challenges that can be applied to large scale microscopy imaging.
* You will develop robust object recognition and localization approaches on cloud services to accurately translate biological phenomena into computational readouts.
* You will conduct research, design and production level implementation of disruptive algorithms for semantic segmentation, object detection and classification of 3-dimensional neuron images using Machine Learning and deep learning methods.
* You will be involved in fast prototyping, feasibility studies, specification, and integration of computer vision algorithms into our product components.
* Generating reliable, correct training data with great attention to detail. Identifying and debugging issues in training deep learning models such as overfitting, leakage and label noise.
* You will advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.


Company:
Genetika+

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team.
This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used.
You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.
RESPONSIBILITIES:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

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're on the lookout for an NLP Data Scientist and a Backend Engineer whos as enthusiastic about Generative AI as we are.
In this role, you'll contribute to the development of robust LLM applications, as well as backend systems and infrastructure that support our Generative AI initiatives, aimed at enhancing efficiency and automation. Youll be instrumental in supporting the creation and maintenance of backend services, collaborating with cross-functional teams, leading GenAI applicative research tasks, and contributing to the advancement of GenAI projects. Youll also identify areas for improvement by analyzing user data, AI technologies, and user feedback.
In this role youll:
Use and extend our Generative AI Dev tools as well as open source and other latest LLM App building tools.
Work directly with the latest Generative AI technologies to develop advanced applications and maintain technical relevance in a rapidly-evolving field.
Significantly impact efficiency, improvement, and automation within the company by supporting Generative AI projects
Work in a highly production-minded environment
Participate in research and analysis to identify pain points and opportunities for AI-driven automation and efficiency improvements
Work in tandem with cross-functional teamsincluding Design, Engineering, Data Science, and Operationsto facilitate the integration of Generative AI and process enhancements
Work within a talented team with a fast-paced workflow.

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.

Our R&D and Innovation Center is looking for a Data Scientist
We are seeking a seasoned Data Scientist with a strong background in optimization and Bayesian methods. The ideal candidate will have a deep understanding of data science principles, machine learning, and statistics concepts.
The Product:
ConvergeCONSUMER is a solution designed to help businesses understand and predict consumer behavior. It combines customer data, next-generation technology platforms, AI, and machine learning to predict consumer demand.
The solution leverages decades of experience in the consumer sector to drive value for clients. It helps businesses understand their customers' spending behaviors and preferences by combining CRM data with external data.
In this role you will:
Apply data science techniques and build high quality predictive models.
Leverage optimization/Bayesian methodologies to solve complex business problems.
Utilize programming and database languages.
Address real-world analytical problems using machine learning, statistical modeling, or similar quantitative approaches.
Develop and deploy models in cloud-based ecosystems such as GCP, AWS, or Azure.
Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
Full time Job
Location: Tel Aviv, Hybrid.

* We are developing a cutting-edge promotion operating system that helps brands manage, analyze and optimize their promotional spend. Our system uses Causal Machine Learning to analyze the incrementality of promotions and help our customers optimally invest their promotion budgets.
* We believe causality is the best way for companies to act on their data. If you do too, you might be a good fit!
Responsibilities
* Analyze raw event data, decide which data is desirable, and structure the data in a useable way
* Create data transformations that are easy to consume in real time
* Build real time and batch prediction models using Causal ML for users incremental lift
* Design complex experiments that TEST reactions to different treatments
* Collaborate with engineering team to bring Machine Learning models to production
* Generate actionable insights for our customers
* Suggest potential areas of explorations based on business impact