לוח משרות דרושים Data Scientist בתל אביב יפו

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 are looking for a Customer Facing Data Scientist (LLM).
As a Customer Facing Data Scientist you will be at the core of our most important effort: how do we solve our customers LLM evaluation pains at scale.
You will work with some of the worlds best AI groups and with our top notch product data science team.
You will play a critical role in ensuring that our customers effectively use LLM Evaluation for testing and monitoring and have full ownership for identifying the best path of implementing the solution into our users LLM pipelines.
Thus helping them to prevent hallucinations, create automatic evaluation flows, and enable continuous performance tracking and improvement. Being customer facing means that you will be working with our customers to understand their needs, help them customize the solution and investigate issues.
This role requires expertise in data science and proficiency in Python. Communicating with customers means that you will need to present your ideas concisely, know how to find a way to work around customers/prospects objections and develop relationships.
The ideal candidate holds a relevant degree and possesses hands-on experience managing LLM solutions in an operational production environment along with a passion to make our customers successful.
Well be going through a lot together, so we want your character and mindset to be a good fit for a fast-moving startup.

a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with is basically guaranteed.

Responsibilities


We are a team of technophiles who love big things that scale. As a developer in our team, you will need to:

Develop and maintain systems that process large amounts of data, including legacy systems and gradually re-write them.
Tackle software engineering challenges in multiple languages and frameworks, mainly in big data batch processing.
Own every product that the team manages, from ideation and planning, all the way to production and monitoring.
Teach and learn. We love to inspire and be inspired and make sure that each team member has their place to grow and excel.
Work both autonomously and collaboratively with the team and other Optimove teams

A global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~450 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career is basically guaranteed.
As a Customer Data Engineer, you will be a part of a strong energetic, and fast-growing global team. You will be an integral part of clients' onboarding and ongoing data requests and projects. You will be working closely with internal PM and CSM teams as well as interacting directly with clients data teams across different business verticals. Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.) The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease. 
The Customer Data Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech. 
Responsibilities:  
​Develop and support a wide range of data transformations and migrations 
Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures 
Investigate data mismatches and apply solutions 
Work side by side and support the Customer Success teams in order to meet customer business needs. 
Interact with clients to understand business needs and collaborate on project scopes, planning, and execution. 

We are looking for an experienced data scientist with deep data science skills to join our team.
Responsibilities:
Conduct algorithmic research, development and evaluation on various computational biology problems across our platform
Design the architecture and be highly involved in the implementation of our bioinformatics pipeline
Continuously keep up to date with the state of the art tools in bioinformatics and ML
Thoroughly evaluate dataset quality and biases
Help define the technological strategy of the company.

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.

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 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.

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 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.

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).

the most advanced intrinsic in-game ad solution for mobile, PC, console, and the metaverse. in-game ads put players first and help advertisers reach audiences programmatically in a non-disruptive and highly engaging way. A patented 3D ad tracking engine, the first to bring viewability measurement in-game with Oracle Moat and IAS, partnerships with trusted AdTech vendors, and compliant with the industry measurement standards outlined by the MRC and IAB make the preferred in-game advertising partner for brands and agencies worldwide.

helps game developers monetize their titles with ad placements that complement the gameplay, and by monetizing the entire game session, they benefit from consistent and reliable revenue streams. Supporting all major and custom built game engines, and a full-stack ad monetization solution that provides complete control over ad placements makes the preferred in-game ad monetization partner for developers worldwide.

Backed by Sony Innovation Fund, NBCUniversal, Samsung Next, Bandai Namco Entertainment 021 Fund, WPP, PayPal Ventures and many other prominent investors, is on a mission to make advertising in games better. Better for brands, better for game developers, and better for gamers. Learn more.

Were looking for a Data Scientist with excellent analytical skills to join our data team and take part in the development of next-generation data platform.

Implement data cleaning and preprocessing techniques to ensure the integrity of data
Develop predictive models for bidfloor optimization, bidding strategies, pacing management, and more
Write and improve queries to build our reporting pipeline
Analyze time-series data to identify trends, seasonality, and anomalies, enabling proactive decision-making and improving our time-series machine-learning models
Create and maintain data pipelines for ingesting, cleaning, and transforming large volumes of data
Learn, work, and gain confidence with big-data and engineering technologies (Druid, BigQuery, Airflow, Kafka, etc.)
Read and apply academic research papers to explore and implement cutting-edge data science methods and technologies
Collaborate and assist in customizing analytical solutions with multiple teams to deliver insights and solutions using data
Work closely with the Infrastructure team to develop and release new features
Work closely with the business teams to resolve complex requests and come up with solutions using data
Build data pipelines and schedule jobs for our reports, models, ETLs, etc.

We are hiring a Medical Data Specialist to join our Data team.
In this role youll get the opportunity to build image analysis models powered by AI, and do something that really matters to biology research and immune treatment.
Join our core team of med students and biology majors to help define better treatment for cancer patients!
A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision, and preferably using the most advanced technology. We bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.
W believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions.
Position Overview:
In charge of annotating samples from diverse pathology slides incl. H&E, IHC, Multiplex assays.
Working closely with the scientific & algorithmic teams to reach the utmost image analysis accuracy.
Participate and lead conversations with leading pathologists.
Why join us? There are plenty of reasons:
Your job matters, use your experience and skills to implement solutions that save lives.
Come as you are, Do what you love: We are a diverse team who are inspired to let our people bring their real self to work by providing an inclusive respectful work environment, and openness to feedback and ideas.
We are open to creativity and welcome innovative ideas and implement best practices.
Be a part of a fast-growing startup backed by top VCs.
Won the Atlas Award.
Work with amazing people that share a passion for using technology as a tool to achieve great things.

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.