Lead Data Scientist Job at Mastercard (Ramat-Gan)

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Lead Data Scientist

You will lead a small, high-impact ML squad embedded directly in client product ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

7+ years of experience in at least one ML field
2+ years of experience in a technical leadership role, e.g., Architect
2+ years of experience managing/supervising teams
Familiarity with Generative AI, time series forecasting, natural language processing, and computer vision
Ability to lead meetings, clarify requirements, and explain technical trade-offs confidently
English B2+

Job Responsibility

Lead and grow a small, high-performing team of data scientists
Collaborate with the customers and engineering teams to understand business needs and translate them into technical solutions
Participate in presale activities, providing technical insights and helping to shape project proposals
Maintain a hands-on approach when necessary, rolling up your sleeves and driving excellence through individual contributions while leading the team

What we offer

Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Big Data Lead Developer

We are seeking a highly skilled and experienced Big Data Lead Developer to estab...

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Big Data application development or systems analysis role
Experience in leading and mentoring big data engineering teams
Strong understanding of big data concepts, architectures, and technologies (e.g., Hadoop, PySpark, Hive, Kafka, NoSQL databases)
Proficiency in programming languages such as Java, Scala, or Python
Excellent problem-solving and analytical skills
Strong presentation, communication and interpersonal skills
Experience with data warehousing and business intelligence tools
Experience with data visualization and reporting
Knowledge of cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc)
Proficiency in Unix/Linux environments

Job Responsibility

Lead and mentor a team of big data engineers, fostering a collaborative and high-performing environment
Provide technical guidance, code reviews, and support for professional development
Design and implement scalable and robust big data architectures and pipelines to handle large volumes of data from various sources
Evaluate and select appropriate big data technologies and tools based on project requirements and industry best practices
Implement and integrate these technologies into our existing infrastructure
Develop and optimize data processing and analysis workflows using technologies such as Spark, Hadoop, Hive, and other relevant tools
Implement data quality checks and ensure adherence to data governance policies and procedures
Continuously monitor and optimize the performance of big data systems and pipelines to ensure efficient data processing and retrieval
Collaborate effectively with cross-functional teams, including data scientists, business analysts, and product managers, to understand their data needs and deliver impactful solutions
Stay up to date with the latest advancements in big data technologies and explore new tools and techniques to improve our data infrastructure

What we offer

Global benefits designed to support your well-being, growth, and work-life balance

Fulltime

Data Scientist

We are seeking a data scientist to join our business intelligence team to help u...

Location

United States , Dallas

Salary:

Not provided

Select Minds

Expiration Date

Until further notice

Requirements

Bachelor’s degree in data science, data analytics, or related field
Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
Proficiency in Python, Java, or Kotlin
Knowledge of data science toolkits such as R, NumPy, and MatLab
Experience with big data analytics technologies such as Spark and Hadoop
Experience with data visualization tools such as D3.js and Tableau
Expertise in data mining and machine learning
Working knowledge of statistical models and business intelligence
Familiarity with cloud-based infrastructure
Ability to store and process unstructured data with NoSQL databases and machine learning models

Job Responsibility

Formulates and leads guided, multifaceted analytic studies against large volumes of data
Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method
Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges
Leads all data experiments tasked by the Data Science Team
Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts
Develops methodology and processes for prioritization and scheduling of projects
Analyzes problems and determines root causes
Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models
Works closely with all business units and engineering teams to develop strategy for long term data platform architecture

Lead Scientist, Pricing

We are seeking a Lead Data Scientist with deep expertise in pricing science, inc...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
7+ years of hands-on experience building data science solutions for pricing, decision-making, or control systems
Demonstrated success applying reinforcement learning in production settings, ideally in pricing or dynamic decision environments
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Experience with Python-based libraries for mathematical optimization and reinforcement learning, and familiarity with simulation environments for offline policy evaluation
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the development of intelligent pricing systems using reinforcement learning, constrained optimization, and simulation-based approaches
Apply a combination of mathematical optimization, dynamic programming, and advanced reinforcement learning algorithms (e.g., model-free, policy gradients, model-based RL) to develop adaptive pricing strategies at scale
Incorporate price elasticity modeling, demand forecasts, and business constraints into the optimization framework
Build and validate simulation environments to evaluate policies offline and ensure robustness before production deployment
Collaborate with engineering to productionize and monitor models in cloud environments such as AWS SageMaker
Collaborate with engineering to productionize optimization models via batch or real-time pricing APIs (e.g., using AWS SageMaker)
Partner with product, pricing, and revenue strategy teams to define objectives and translate pricing insights into business outcomes
Define and execute model performance measurement strategies, including causal inference and uplift modeling and A/B testing
Present findings, experimental results, and strategic recommendations to senior leadership

Data Scientist

At AKQA, our Invention Team sets the standard for frontier AI and data science-l...

Location

Australia , Melbourne

Salary:

Not provided

AKQA

Expiration Date

Until further notice

Requirements

Lead integration of ML/AI, translating emerging research into products and prototypes
Own end‑to‑end delivery from opportunity framing to deployment
manage scope, time and budget
Set technical direction and mentor data scientists/ML engineers
Drive rapid prototyping in Invention Sprints
build proofs of concept
Ensure best practices across data, models and MLOps
maintain clear documentation and governance
Act as the central point across client, strategy, design and engineering
communicate and track milestones

Job Responsibility

Partner with clients to build future-facing products and prototypes
Collaborate with multidisciplinary teams, manage stakeholders, and ensure initiatives meet scope, time and budget while upholding rigorous and responsible engineering

What we offer

Work in an innovative, inclusive culture
Contribute to global Invention Sprints
Access ongoing development within a hybrid in‑studio/WFH model

Fulltime

Senior Data Scientist

Due to rapid growth, at the core of our company’s strategy, we are seeking a Sen...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related
4 years of significant experience minimum (post graduation) in data science or related
Proven track record in leading cross-organisational projects involving a variety of stakeholders
Proficiency in Python (e.g. pandas, scikit-learn)
Strong background in statistics and mathematics, showing clear understanding of probabilities
Eye for quality, autonomous and attention to detail
Communication of complex technical topics to a business-oriented audience
Fluency in English (written and verbal communication) is required
Interested in insurance industry and climate risks modeling
Strong team spirit

Job Responsibility

Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts
Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients
Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation
Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide
Contribute to & lead cross-organisational initiatives with various divisions of Descartes in order to support the growth and scalability efforts of the company (e.g. Software & Data Engineers, R&D teams, Strategy, Legal, Operations & Risk Management)
Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from punctual home office days

Lead Data Engineer

Sparteo is an independent suite of AI-powered advertising technologies built on ...

Location

Salary:

Not provided

Sparteo

Expiration Date

Until further notice

Requirements

Proficiency in distributed data systems
Proficient in clustering, various table types, and data types
Strong understanding of materialized views concepts
Skilled in designing table sorting keys
Solid programming skills in Python, Java, or Scala
Expertise in database technologies (SQL, NoSQL)
You are comfortable using AI-assisted development tools (e.g., GitHub Copilot, Tabnine)
Proven experience leading data teams in fast-paced environments
Ability to mentor junior engineers and foster a culture of growth and collaboration
Data-driven decision-making abilities aligned with Sparteo's focus on results and improvement

Job Responsibility

Data Infrastructure Design and Optimization
Lead the design, implementation, and optimization of data architectures to support massive data pipelines
Ensure the scalability, security, and performance of the data infrastructure
Collaborate with software and data scientists to integrate AI-driven models into data workflows
Leadership and Team Management
Manage and mentor a team of 2 data engineers, fostering a culture of continuous improvement
Oversee project execution and delegate responsibilities within the team
Guide technical decisions and promote best practices in data engineering
Collaboration and Cross-Functional Engagement
Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives

What we offer

A convivial and flexible working environment, with our telecommuting culture integrated into the company's organization
A friendly and small-sized team that you can find in our offices near Lille or in Paris
Social gatherings and company events organized throughout the year
Sparteo is experiencing significant growth both in terms of business and workforce, especially internationally
Additional benefits include an advantageous compensation system with non-taxable and non-mandatory overtime hours, as well as a Swile restaurant ticket card

Fulltime

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