לוח משרות דרושים Senior Data Scientist

We are looking for a Senior Data Scientist.
As a Sr. Data Scientist, you will be spearheading the analysis of tens of thousands of patient-therapist conversations, working closely with our leadership, product, and clinical experts team, to derive insights that directly improve therapy sessions for thousands of people.
This is a unique opportunity to join a startup with real impact on the wellbeing and mental health of thousands, applying cutting edge technology for solving a meaningful human problem with huge financial and psychological implications.
How will you contribute?
Lead data science projects that directly influence the work of thousands of psychologists, psychiatrists, and other caregivers.
Develop end-to-end AI solutions from the research phase through to production.
Identify and leverage cutting-edge technologies to facilitate their integration into our products.
Mentor and provide technical guidance to other team members.
Play a critical role in designing the companys products.

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 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
You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a quantitative field. - Must ( Advance degree an advantage) Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
* Strong knowledge of advanced analytics and machine learning techniques such as regression and classification algorithms including linear and logistic regression, k-nearest neighbors, support vector machines (SVMs) and other techniques
* Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and machine learning
* Strong technical proficiency in data science tools and programming languages such as Python, R, SQL , with experience in developing predictive models and machine learning algorithms
* Experience working with large-scale datasets
* Ability to communicate findings and recommendations to stakeholders
* Strong problem-solving skills while paying attention to detail
* Strong project management skills, with the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment
* Ability to facilitate collaboration to achieve project goals A Bonus
* 2+ years of experience in a leadership or management role an advantage
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) preferred
* Experience in Fair Lending analytics preferred
* Knowledge of regulatory compliance frameworks and industry guidelines for fair lending risk management an advantage
* Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage
* Experience with data visualization tools such as Tableau, Power BI an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, Cross River 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 ong

Were looking for the first senior data scientist to join our analytics department. The ideal candidate will have a strong background in data science, artificial intelligence, and advanced analytics.
This role requires a passion for data, excellent problem-solving skills, and the ability to develop and implement AI-driven solutions to solve complex business challenges.
How youll shape the future of B2B sales:
Collaborate closely with the analytics team to develop and implement AI-driven models and analytical solutions.
Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions.
Develop and maintain machine learning and AI models to support predictive analytics, business forecasting, and other advanced analytical needs.
Create and present detailed reports, visualizations, and dashboards to communicate findings and recommendations to stakeholders.
Conduct exploratory data analysis and identify opportunities for data-driven improvements and innovations.
Work closely with cross-functional teams to gather and interpret data, ensuring alignment with business objectives.
Stay up-to-date with the latest industry trends and advancements in AI and data science.
Mentor and provide guidance to junior data scientists and analysts within the team.

Were looking for a Senior Data Scientist to be a pivotal member of the data science team, taking ownership of executing an E2E challenging data science project in various areas of our product. Additionally, as a Senior Data Scientist, you will strengthen our methodologies, infrastructure, and algorithmic approaches.
How youll shape the future of B2B sales:
solve complex business problems using ML and data-driven techniques using a wide range of both classic and relevant SOTA algorithms and technologies.
Work against business stakeholders to identify, well-define, and prioritize business problems to be solved through DS\ML pipelines.
Dirt your hands with our endless stream of data, doing real-world data science impacting directly and significantly on our core product and user experience.
Define success criteria for each goal, and build and own the monitoring flow and maintenance plan for each solution.
Work closely with our data engineers to build the needed infrastructure and push solutions successfully to production.
Continuously self-learn, grow professionally, and mentor younger team members.

We are looking for a passionate, motivated, and innovative Senior Data Scientist to join our team!
If you value personal and career growth, teamwork, and winning this role is for you!
This position will be part of our Innovation department.
we explore new market opportunities and applications to build and bring to market industry-leading solutions that deliver new value for customers and fuel the companys expansion.
We operate as an independent unit, enjoying flexibility, numerous opportunities to make a significant impact, and engaging in meaningful and challenging work. Additionally, we have access to resources, which enables rapid progress and reduced risk.
What your day will look like:
Be part of the founding data-science team, implementing new and exciting features, end-to-end, along with the product team, focusing on the algorithmic and machine learning aspects embedded in all our products.
As part of the founding team, you will be able to grow as a data scientist and define the theoretical and technical directions, and you will enjoy a lot of autonomy, responsibility, and ownership.
Apply your scientific knowledge and creativity to analyze large volumes of diverse and unstructured data and develop algorithmic solutions and models to solve complex problems.
Characterize and break down product use-cases effectively, choosing the right formalization and tools to best tackle them.
Research, design and apply advanced data processing technologies and methodologies, from a research playground to production. Contribute best practices to our backend applications and help pick the right frameworks and tooling for Axonius's next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all Axonius groups and departments.
Build and promote quick prototypes/POC/demos to conceptualize innovative ideas
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms and machine-learning models in a production environment and then monitoring and maintaining them.
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue.

Were looking for a Senior Technical Data Product with strong analytical thinking and a passion for data, with expertise in various data technologies and solutions to join our data group and help drive the companys core objectives.
As a Technical Data Product, you will be the link between the data platforms (Data Lake, DWH) and their stakeholders - Business, R&D, Product etc. - by providing data models and solutions for analysis to support the decision-making process.
If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the companys growth, then this is the right place for you.
What youll be responsibilities on:
Leading end-to-end data projects to create analytical & data tools and solutions for the company
Data gathering research and analytical abilities to develop insightful conclusions and generate solutions to address user needs
Translate business & technical needs collaborate regularly with various stakeholders and translate business needs to technical data solutions and KPI definition by writing STT to be developed by data engineers.
Design the right solution for each case, deliver the technical solutions, define the architecture and technology that best fit with customer's needs
Keep it running, implement and train users with the BI products and manage their inputs for ongoing analysis.

Required Head of Data and Gen AI.
Required Travel- Minimal.
Managerial - Yes.
Location- RAANANA (company site).
Who are we?
Our company helps those who build the future to make it amazing.
With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers.
Our approximately 30,000 employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, our company had revenue of $4.89 billion in fiscal 2023.
In one sentence- as the Head of IT Data and AI, you will play a pivotal role in shaping companys data strategy and driving innovation through artificial intelligence.
Youll lead a dynamic team of data scientists, engineers, and analysts, ensuring the successful implementation of data-driven solutions across the organization, transforming raw data into actionable insights, all while aligning with business needs and strategic vision.
What will your job look like?
Data strategy and governance:
Lead and execute a visionary data strategy aligned with companys business objectives.
Translate business aspirations into data realities - turn initiatives of predictive analytics, customer insights, employee experiences, and more into practical and impactful data solutions.
Become the design authority, pave the way toward and ensure adherence to architectural principles and standards.
Play a pivotal role in establishing robust data governance policies, focusing on ensuring data quality, security, and compliance, safeguarding company data assets with precision and diligence.
Gen AI and Machine Learning Leadership:
Define the overarching strategic vision for AI and machine learning initiatives within company IT and chart the course toward intelligent automation, predictive analytics, and personalized experiences.
Explore and harness the power of Gen AI across our data-driven landscape and implement innovative gen AI-based solutions.
Stakeholder Engagement:
Collaborate closely with cross-functional teams and identify opportunities where AI can enhance our products, services, and processes.
Understand data requirements in depth and translate business needs into practical data and AI solutions.
Effectively communicate the value of data-driven insights and empower strategic decision-making across the organization.
Team Management and Development:
Take the leading and mentoring of a high-performing team of data professionals.
Cultivate a culture of continuous learning, where every team member contributes to the collective expertise.
Why you will love this job:
Take part in a wide scope of activities.
Have an outstanding opportunity to work on sophisticated products and solutions.
Grow and enjoy a professional development.
We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow.
Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace!
We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!