דרושים » תוכנה » Data Scientist, Search Engine

We are looking for exceptional hands-on data science, machine learning, and algorithms researchers. Our data science group builds well-crafted machine learning systems which are at the core of unique position to prevent online fraud. you will have the opportunity to analyze complex non-stationary data, innovate, acquire, and demonstrate a wide range of skills and expertise in machine learning while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

What you'll be doing:
Research and develop innovative machine learning projects up to deployment in production.
Lead projects, initiatives, and multidisciplinary task forces in a dynamic business environment.
Mentor other data scientists, influence your teammates' projects, advise colleagues from other disciplines.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.

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).

As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis,product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment.

Responsibilities
Deploying AI modules to production:

Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Deploy, configure, and implement hundreds of AI modules yearly using our orchestration mechanisms.
Design scalable deployment methodologies for new AI products
Address complex challenges associated with data in operational production environments, such as data quality, availability, and integration.
Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed.
Maintain our AI solutions in top performance:

Become a crucial part of our Ops team and work in a live operational environment, finding real-time solutions to complex problems.
Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors.
Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time.
Design new monitoring solutions and metrics to address production issues, data drifts, and performance degradation.
Investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent reoccurrence
Tool Development:

Develop tools and scripts to support data analysts and ensure efficient data processing and analysis.
Visualize data in informative and to the point visualizations.
Automate tasks related to AI deployment, data validation, and reporting.

We are looking for exceptional hands-on data science, machine learning and algorithms researchers. Our data science group builds well-crafted machine learning systems which are at the core of unique position to prevent online fraud. you will have the opportunity to analyze complex non-stationary data, innovate, acquire and demonstrate a wide range of skill and expertise in machine learning, while maintaining a focus on delivering systems to production and making an impact. If you possess strong analytical ability and the know-how to translate your ideas into reality, we would like to have the chance to talk to you.

What you'll be doing:

Research and develop innovative machine learning projects up to deployment in production.
Solve complex, unique data science problems that do not have an off-the-shelf solution. Dive deep into complex and multi-dimensional data sets to identify patterns, anomalies, and potential fraud indicators.
Stay ahead of the curve by understanding the latest adversarial techniques fraudsters use.
Work closely with domain experts and researchers to integrate domain-specific knowledge into our fraud detection models. Collaborate on research projects to explore new approaches and technologies.
Employ a wide range of techniques from data science, machine learning, statistics, probability, algorithms, and whatever is necessary to solve the most crucial problems is facing.

The Core Engineering group specializes in developing EverC's Data & AI-based detection capabilities, processing millions of data points daily. Identifying threats, revealing patterns, and seizing opportunities are our core objectives. Maintaining a robust and reliable data infrastructure is paramount to our success.
Role & Responsibilities:
EverC is actively seeking an experienced and passionate Data Scientist / Machine Learning Engineer to enhance our capability in identifying and mitigating the presence of undesirable products on well-known e-commerce platforms. In this critical role, you will leverage our vast data resources to drive innovations from the ground up. Your responsibilities will include:
Assume full ownership of end-to-end ML projects, from data analysis, design, and planning, to implementation, deployment, and impact analysis.
Proactively seek out and evaluate new ML and DL algorithms, including LLMs and computer vision algorithms, to enhance system performance. By developing prototypes and conducting experiments.
Collaborate closely with software engineers, data analysts, and product managers to ensure productization of ML solutions.

Lead the data science field within the company.

Build & Refine the company's AI / ML algorithms.

Proactively seek new directions for tackling hard-to-crack problems, including devising real-world experiments and data collection.
Develop and implement advanced algorithms and models to process unstructured documents like PDFs, extracting insights through entity recognition.

Collaborate cross-functionally to translate business needs into actionable data science solutions, conducting thorough data analysis and feature engineering to uncover trends within unstructured data.

Working closely with the company's CTO and architect.

We're seeking a dynamic AI Guild Manager to spearhead our AI-first transformation.
This leader will build, manage, and inspire a cross-functional AI Guild focused on educating, ideating, and delivering cutting-edge AI solutions across our company. You'll work closely with the CEO and other stakeholders to embed AI concepts into our processes, product development, and decision-making. If you are passionate about driving innovation with AI, GenAI, ML, and NLP, and possess hands-on technical expertise with a strong entrepreneurial spirit, this is the perfect role for you!
What am I going to do?
Build and Lead the AI Guild: Recruit, retain, and provide guidance to a high-performing team of AI practitioners across various areas of expertise.
AI Strategic Vision: Partner with the CEO and executive team to establish and execute a company-wide AI strategy that aligns with business objectives.
Educate and Innovate: Design and run AI training programs for employees, and facilitate knowledge-sharing on best practices and potential applications of AI. Create a culture of continuous AI learning and exploration.
Ideation and Solutioning: Actively collaborate with various teams to understand problems and opportunities; ideate and prototype AI solutions.
Technical Acumen: Provide hands-on expertise in the design, development, and deployment of AI models, particularly using cutting-edge techniques in GenAI, ML, and NLP.

A day in the life:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Analyze our risk product, identify improvements, and communicate results with internal stakeholders, including leadership, to ensure these are incorporated into business processes.
Lead our risk model data science performance monitoring. Define, understand, and test opportunities to improve the product, and drive roadmaps through your insights and recommendations.
Deliver directions for future data science research that are related to the model performance.
Design data collection strategies and their applications for building new products. Collaborate with the data engineering team to define and implement data processing workflows.
Participate in the design of data preparation processes, ensuring seamless integration of business requirements and technical feasibility.
Exemplify and foster our humble, collaborative and impact-obsessed culture.

Were a company of learn-it-all rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.   
Are you ready to join us and create the future? Come as you are, do what you lovestart your journey with us today.
Data Scientists and AI researchers help to improve the quality and experiences of our devices and services. We are looking for highly motivated and passionate Data Scientists to design and apply rigorous scientific methodology and algorithms to improve devices, operating systems, and services. As a Data Scientist, you will provide unique insight into business and customer scenarios that cut across organizational boundaries and lead the growth of a data-driven culture.
As an AI expert, you will help push the state-of-the-art in computer vision, Natural language processing (NLP), speech recognition and speech enhancement, using extensive domain- specific knowledge, data, and compute resources. 
As a Data Scientist or an AI researcher intern, you will help formulate approaches to solve problems using various algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. 
You will develop real-world machine learning and deep learning algorithms in the domains of computer vision, natural language processing, recommender systems, and more. 
You will increase productivity of ongoing research projects and help to productize them, publish research papers in top-tier machine learning venues and issue patents.
You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results. 

Who are we??? A pioneering music and art platform, committed to empowering creators with accessible and high-quality content. We are obsessed with our customers, value fast delivery, thrive on creativity, and champion collaboration. We believe in fostering an environment where innovation meets art, and music fuels creativity.
Position Overview:
We are seeking a passionate and experienced data Scientist to join our dynamic team. This role is ideal for someone who is product-oriented, thrives in a fast-paced environment, and is focused on delivering tangible value to our users. With at least 3 years of experience in the field, the ideal candidate will bring a blend of technical expertise, creativity, and a love for music and art to our team.
Key Responsibilities:
- Design, develop, and deploy Machine Learning algorithms from inception to production, leveraging machine and deep learning frameworks
- Work collaboratively with product managers to define problems, identify solutions, and iterate on feedback to refine those solutions.
- Deliver end-to-end Machine Learning -based features at a rapid pace, ensuring high-quality and impactful user experiences.
- Engage in research and application of cutting-edge technologies, including Multimodal models, and large language models (LLMs), to drive innovation within our platform.
- Contribute to the development of recommender systems and search functionalities, enhancing user engagement and satisfaction.