דרושים » תוכנה » Data Scientist

we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.

The ideal candidate will be an experienced analytics leader with a strong hands-on approach. You should be passionate about data and possess a deep understanding of machine learning, statistics, and data science principles. You will thrive in our dynamic environment, taking ownership of driving analytics for our new line of data products and demonstrating a "get-things-done" mentality.

Responsibilities:
Leverage a creative blend of AI techniques, machine learning algorithms, statistical analysis, and business intelligence to build and refine predictive models focused on tabular data. This includes structured datasets such as customer records, transactional data, time-series, and operational logs.
Drive end-to-end data science workflows for tabular data prediction use cases from initial problem scoping and feature engineering to model development, validation, and deployment.
Collaborate closely with dedicated development and product teams to ensure seamless integration and high-quality data science solutions.
Build and continuously optimize scalable ML pipelines and infrastructure specifically tailored for structured data and predictive modeling tasks.
Take initiative in identifying delivery bottlenecks, implement effective monitoring and model performance tracking for tabular predictions, and own the success of data-driven product features from inception through deployment.

We are looking for a passionate, motivated, and innovative Principal Data Scientist, to join our innovation department.
A business unit focused on developing future cutting-edge products.
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 our next product.
Work closely with other team members, such as backend developers, product managers and data engineers, across all 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.

We're looking for a sharp and passionate Data Scientist to join our top-notch Data Science team.

Using your technical and analytical skills, your mission will be to develop Data Science models in purpose to directly impact the business KPIs in various areas.

Responsibilities:
Develop data science models to support business decision-making and improve KPIs across various areas.
Analyze complex data sets to identify trends, patterns, and insights.
Continuously monitor and improve model performance through testing and experimentation.
Execute projects end-to-end from requirements gathering, data mining, and exploration up to full implementing in production
Collaborate with cross-functional teams including product, engineering, and marketing to identify data-driven solutions.
Communicate findings and insights to non-technical stakeholders in a clear and concise manner.
Stay up-to-date with the latest advancements and trends in data science and machine learning.
Creating a framework of technical standards and procedures.

Required Staff Machine Learning Scientist
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms 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
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Provide technical leadership and mentor team members on best practices, code reviews, data-insights, analysis results and machine learning technical designs.
Own end-to-end projects involving multiple stakeholders, from architectural design and data pipeline configuration to production deployment and performance optimization.
Be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily.
You will report directly to the group manager.
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

We are looking for a talented Insurance Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve pricing models and rate plans, using advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Develop and refine predictive pricing and risk models using statistical and machine learning techniques to improve underwriting accuracy and pricing fairness
Evaluate existing rate structures and pricing methodologies, identifying opportunities to enhance predictive performance and business impact
Collaborate with actuarial and underwriting teams to ensure models align with regulatory and business requirements
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products

A global leader in performance marketing, is looking for a talented Data Scientist to join us on our mission to simplify decision-making for millions!
What You'll Do
Responsibilities
End-to-end project ownership with advanced modeling: Take ownership of projects from ideation and design to deployment, leveraging advanced machine learning and deep learning techniques to develop innovative solutions that address complex business challenges.
Data exploration and preprocessing: Gather, clean, and preprocess large-scale datasets from diverse sources, ensuring data quality and readiness for modeling.
Develop scalable production-ready code: Develop for both real-time and batch modeling pipelines, collaborating with data and engineering teams for seamless integration.
Innovation and research: Stay ahead of industry trends by exploring and applying cutting-edge advancements in data science, machine learning, and AI to solve emerging challenges.
Data visualization and insight communication: Transform complex analytical results into actionable insights through clear visualizations and articulate presentations for diverse audiences, including technical and non-technical stakeholders.
Collaboration across teams: Work closely with cross-functional teamsproduct managers, engineers, and business leadersto identify opportunities, prioritize initiatives, and deliver impactful results.

We are looking for a talented Lead Data Scientist for our Research and Risk team, a team that is at the core of everything we do. In this role, you will research, develop and improve the machine learning models predicting claims frequency, claims severity and fraud detection. This role focuses on researching advanced modeling techniques, continuous experimentation, and an iterative approach to productizing our learnings. You will work closely with product management, underwriting, actuaries, machine learning engineers and other product/engineering teams.
A day in the life
Use advanced statistics, machine learning, and mathematical approaches to develop highly predictive risk models to enhance pricing, loss prediction, and rate plan optimization
Create POCs to validate new product ideas and experiments to improve existing predictive models
Design data collection strategies and their applications for building new products
Translate business goals into actionable research and ensure the research contributions align with company-wide objectives
Collaborate with engineering and product leads to ensure the successful deployment and scaling of research-driven solutions
Serve as a technical leader and coach for the Data Science team, helping to shape team processes and best practices

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At our company, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.
Responsibilities:
Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

Were looking for a Data Scientist to join our Data Labs department, which specializes in professional services for our super premium customers.
This role will report to our Datalabs Team Manager in the, R&D.
Why is this role so important?
A data-focused company, and our unique AI and machine learning capabilities are the center of our business.
As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions
As a data scientist in the Datalabs team, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. The Datalabs departments customer centric and business-oriented nature also means you will be supporting a team of data analysts and consultants who interact directly with customers. Together with them, you will translate the voice of these customers into best-in-class digital insights.
So, what will you be doing all day?
Your role as part of the R&D department, and as part of the Datalabs team means your daily responsibilities may include:
Working on versatile use cases within a dynamic, fast paced production environment
Strategic thinking and problem solving, with a strong business sense
Analyzing data from various sources, and turning it into usable input
Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights
Initiating newly defined tasks from exploration to proof of concept
Owning the finalization of defined tasks (from POC to deployment in production)
Collaborating with data engineers to make sure we reach the desired production results
Owning the ongoing validation process for existing metrics
Collaborating and brainstorming best practices with other teams within the R&D department
Deploying machine-learning models into production for an ongoing use.