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We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Responsibilities:
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within our company (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

We are looking for an experienced software & algorithm engineer to join our computational drug hunting team.
Responsibilities:
Design and build a scalable, complex backend infrastructure for our computational cloud platform
Advocate lean and mean solutions, aesthetic design, and architecture
Implement and improve algorithms in our bioinformatic pipelines
Conduct literature reviews for algorithms, bioinformatics methods and big data solutions, and continuously keep up to date with the state of the art
Help define the technological strategy of the company

We are hiring a senior data scientist to join Nucleai’s 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. At Nucleai, 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. At Nucleai, 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. 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.

Were looking for a Data scientist Expert to join us
WHAT YOULL DO

Lead an applied research for AI-driven features in the platform
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability

We are looking for a passionate Senior Data Scientist to join our all-star team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!

What You'll Do:
Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems.
Develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs
Partner with other functions in the company, to support decision making
Instant data gratification guaranteed!

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).

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Were looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities:
* Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
* Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder.
* Provide customer and market feedback to Product and Engineering teams to help define product direction.

we are looking for an excellent Data Science Manager to join our team! Stand as the unique leader, positioned at the intersection of fraud analysis, data science, and system flow engineering, to extract insights and deliver pivotal components of logic at the core of the system.

What youll be doing:

Be the professional leader and mentor to a team of talented data scientists and researchers.
Devise creative solutions to highly intricate real-world problems, using statistics, domain expertise, ML, graph theory, or anything else.
Work on the core of a multi-faceted system, at the junction of identity, similarity, and fraud detection, which is at the heart of technology, and critical to its bottom line.
Find techniques for automated learning from our data, which is meso-big and only sometimes tagged. In particular, hold our complex similarity search, clustering and anomaly detection fields.
Work alongside domain experts to define and develop the way we should synthesize a large corpus of analytical knowledge insights into a scalable streamed flow.
Develop measures, metrics, and uses for our large graph of humans and how to spot those fraudsters hiding in there.
Promote solutions and sophisticated ideas, communicate them to peers, management and customers. Be the Data Science face of the identity network domain of the company.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and AI technologies, for solving problems within our Search and matching domain.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and ML platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.
You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.
What am I going to do?
Take leading roles in projects around our search & matching engine: ranking, semantic search, user segmentation and personalization, Gen AI within our core mechanisms, real-time predictions, live streaming data utilization for our online models, etc.
Provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of our Data Science AI platform.

We're looking for highly talented, experienced, passionate, and data-driven Senior Data Scientists.
Create and develop ML models to drive the company forward and support decision making; while using data driven insights about our product, customers, business goals
Work in a team and independently, understand business requirements and how they relate to and support business KPIs.
Research creative data-driven ways to solve challenging real-world business problems
Design, establish, maintain and evolve the companys machine learning (ML) models
Develop production-level, scalable ML pipelines and models
Collaborate with analytics, business and data engineering teams and bring a proactive approach to handling anomalies and abnormal behavior within our DWH
Use your background in predictive modeling, advanced statistical analysis, ML practices and techniques and time series modeling to build new features and products.