לוח משרות דרושים סטטיסטיקאים, לחיפוש זה נמצאו 30 משרות

Requirements:
Education: Master of Science (M.Sc.) in Computer Science, Data Science, Mathematics, Physics, or a related quantitative field.
Technical Skills: Proficiency in programming languages such as Python or R, and experience with ML frameworks (e.g., PyTorch, TensorFlow).
Foundation: Solid understanding of probability, statistics, and linear algebra.
Passion: A deep-seated passion for AI, GenAI, and data-driven innovation.
Advantages:Previous experience in a technology-driven environment.
Hands-on experience with LLMs, prompt engineering, fine-tuning models, agentic solutions experience. Knowledge of data pipelines, SQL, and big data processing tools.
Strong communication skills and the ability to work effectively in a collaborative team setting

Requirements:
Bachelors degree in Statistics or Mathematics - mandatory Full proficiency in Excel - mandatory Proven experience in SQL and/or SAS programming at an advanced level - mandatory Two years of experience in the financial and/or insurance sector - strong advantage Experience working with financial or actuarial models - strong advantage Knowledge and experience in VBA - advantage
* Ability to work independently as well as collaboratively in a team
* Accuracy, thoroughness, strong analytical thinking, and high problem-solving skills
* Ability to learn independently, manage multiple tasks, and apply creative thinking to problem-solving
* Suitable candidates will be required to pass a professional knowledge assessment The position is intended for everyone. We support diversity and see it as a strength and as the ability to develop and learn. We advocate for inclusion and empower both women and men. KPMG Israel is committed to diversity and inclusion. We believe that embracing differences strengthens our ability to learn, grow, and succeed together.

Requirements:
Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience.
Strong programming skills in Python and proficiency in SQL.
Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques.
Strong communication and collaboration skills to work effectively in a team environment.
Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage.

Requirements:
Bachelors degree in Statistics or Mathematics - mandatory
Full proficiency in Excel - mandatory
Proven experience in SQL and/or SAS programming at an advanced level - mandatory
Two years of experience in the financial and/or insurance sector - strong advantage
Experience working with financial or actuarial models - strong advantage
Knowledge and experience in VBA - advantage
Ability to work independently as well as collaboratively in a team
Accuracy, thoroughness, strong analytical thinking, and high problem-solving skills
Ability to learn independently, manage multiple tasks, and apply creative thinking to problem-solving
Suitable candidates will be required to pass a professional knowledge assessment.

Requirements:
Bachelors degree in a quantitative field (engineering, statistics, data science, or similar).
5+ years of Product Analytics experience in SaaS environments (healthcare or regulated industries - advantage).
Strong hands-on experience working with large datasets and complex databases, including advanced SQL proficiency and data modeling.
Experience implementing and maintaining product instrumentation and analytics tracking frameworks.
Experience with product analytics tools (e.g., Mixpanel, Amplitude, Heap) and BI tools.
Ability to operate both strategically and technically - connecting business goals with analytical execution and data infrastructure.
Strong analytical mindset with a passion for data-driven product development.
Previous management experience - Advantage.
Experience with Qlik - Advantage.
Experience with consumer-facing (B2C) products - Advantage.

Requirements:
Educational Requirements:
Bachelors degree in science discipline, , computing science, engineering, mathematical, statistics or related field.
Required Experience:
Minimum of 2 years or 5 years for Senior position of relevant hands on experience in building end to end data piplines and analyticswhich includes:
Successfully designing and delivering automation/analytics/AI-enabled solutions (e.g., dashboards, workflow automation, AI/ML solutions, ETL procceses) that produced measurable improvements.
Experience coordinating cross-functional stakeholders, with hands-on project management in a matrix environment.
Preferred Experience:
Experience working across multiple countries or in regional programs.
Exposure to integrations with IT/data science teams and vendor coordination.
Required Knowledge, Skills and Abilities:
Business process modeling and requirements techniques: e.g., process mapping, user stories, acceptance criteria, functional specifications
End-to-end product and solution ownership mindset: with accountability for value delivery across the full solution lifecycle (ideation, MVP, rollout, scaling, maintenance, and retirement).
Data literacy and analytics: ability to translate business questions into metrics; hands-on with BI tools (e.g., Power BI/Tableau) and data querying basics (SQL or equivalent).
Automation/AI awareness: practical experience with workflow automation/RPA platforms; exposure to AI/ML use cases and constraints in clinical operations.
Program/project management: planning, prioritization, risk/issue management, and delivery at pace; comfortable with Agile/Lean practices
Communication & influence: excellent English communication; ability to influence across functions and present technical topics to non-technical audiences.
Change enablement: stakeholder engagement, training, and adoption support.

Requirements:
Previous experience in Data Analysis.
Bachelors Degree in Economics (or Mathematics, Statistics, Engineering or similar quantitative field).
Advanced analytical skills, ability to spot patterns and trends.
Excellent Excel skills.
An interest in mobile games.
Previous experience in strategic/financial consulting - Advantage.

Requirements:
Requirements:

8+ years of experience in Data Science, Machine Learning, Statistics, Operations Research, Economics, or a related field.

Proven experience leading Data Science teams.

M.Sc. or Ph.D. in a quantitative discipline.

Strong expertise in machine learning, predictive analytics, optimization, forecasting, and statistical modeling.

Experience in fintech, revenue optimization, forecasting, recommendation systems, retail technology, or similar data-intensive domains.

Strong business orientation and ability to connect analytical insights to business outcomes.

Excellent communication and stakeholder management skills.

Experience working in a SaaS environment.

Fluent English.


Advantage:

Experience with Generative AI and LLM-based applications.

Experience working with enterprise customers.

Experience managing distributed teams.

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
5+ Years of experience of ML research/Deep Learning etc.
Experience with software engineering in Python (must) , C++/Rust is a plus.
Strong statistical analysis and mathematical skill.
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined.

Requirements:
● 1+ year of relevant experience.
● Education: Bachelors degree in Economics, Statistics, Engineering/Industrial management or a related field, or equivalent military experience.
● Proficiency in SQL and experience with relational databases.
● Strong problem-solving skills and attention to detail.
● Excellent communication skills, both verbal and written.
● Ability to work independently and collaborate effectively within a team.
Preferred Qualifications:
● Experience in the payments or financial services industry.
● Familiarity with APIs and basic scripting (e.g., Python, JavaScript) for operational efficiency.
● Previous experience in system integration, data analysis, or automation in a payment operations role.