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נאספה מאתר אינטרנט
28/04/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.
Requirements:
Bachelor's degree in a relevant field such as Statistics, Mathematics, Computer Science, or Economics.
Strong analytical skills with the ability to collect, organize, and interpret large datasets.
Proven experience in building, deploying, and monitoring of ETLs
Proficiency in data analysis tools such as SQL, Python, Pandas, Apache Spark / Beam, etc
Good understanding of data modeling principles
Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio.
Excellent communication and collaboration skills.
Ability to work independently and prioritize tasks effectively.
Problem-solving mindset with a keen attention to detail.
Experience in a data-related role is preferred but not required.
Eagerness to learn and adapt to new technologies and methodologies.
Advantages:
MongoDB
AWS Cloud
CICD, Docker Kubernetes
This position is open to all candidates.
 
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לפני 54 דקות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are a high-tech boutique iGaming company. We love what we do, and people who do it.
And not to brag too much, but over 500 of them already and growing!
With hubs in Europe, Africa, LATAM, we harness & celebrate the unique perspectives everyone brings.
It allows us to see the full picture of the betting world in all its spectrum and trust us, its beautiful.

We recruit, grow and develop our employees, no matter what career stage they're at. Can't spell success without U.
This is how we keep it cool:
- Promote Diversity
- Invest in People
- Be Responsible
- Have fun
- For the bettor
With two decades packed in our duffle, we've charted a course where you're always in the spotlight.

Bringing us to our current spot for the role of a CRM Data Analyst, who is instrumental in analyzing customer relationship management (CRM) data to enhance customer engagement, optimize marketing strategies, and drive players growth.
Play a pivotal role in understanding customer behaviors, segmenting audiences, and aiding in the development of targeted marketing campaigns, providing actionable insights to support business objectives.

Responsibilities:
- Analyze customer data to identify trends, behaviors, and opportunities for business growth.
- Design, maintain, and analyze BI reports to gain insight into customer behavior.
- Support the CRM team in developing and implementing CRM strategies to improve customer engagement and retention.
- Develop data-driven recommendations to improve for enhancing customer experience, loyalty, and social growth based on data analysis.
- Stay up to date on the latest CRM trends and technologies within the iGaming industry.
- Maintain data quality and integrity within the CRM system.

10 reasons to join 10Bet:
1. Competitive remuneration & bonuses (your awesome work deserves rewarding).
2. Fun perks & benefits (goes without saying!)
3. Smart, Senior and Competent colleagues to learn from and grow (and were just starting to expand and welcome Talents like yours).
4. Very dynamic and proactive HR! Always something cooking around here: team buildings,
parties, knowledge-sharing, etc. you name it.
5. Individual Development Program and continuous learning to fuel your professional growth
6. Psychological safety and diversity. Culture Adds instead of Culture Fits.
7. Pet-friendly office (just in case youre in the mood of showing-off your significant-other.
8. Responsible gambling (with great fun comes great responsibility!)
9. Open Doors, Open Minds: Transparency and Communication to share your thoughts, make the difference
10. Global Stage, Local Touch. We operate internationally, but build culture on close-knit relationships and a supportive environment.
Requirements:
- Bachelors degree in business, marketing, statistics, or a related field.
- A minimum of 3-4 years of experience in a customer analytics or CRM-related role, iGaming industry would be a strong advantage.
- Excellent analytical and problem-solving skills with the ability to translate insights into actionable recommendations.
- Expertise in data analytics tools, such as SQL, Excel, Qlik, or similar reporting platforms (Qlik is preferred).
- Ability to communicate complex data insights in a clear and effective manner.
- Ability to work independently and as part of a cross-functional team.
- Strong organizational skills with the ability to manage multiple projects simultaneously.
- Keen interest in staying abreast of industry trends and technological advancements.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
6 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Mid-Level Data Analyst.
As a Data Analyst Real Estate, you will harness the power of data to drive strategic decision-making and help redefine the landscape of real estate technology. You will collaborate with cross-functional teams to develop insights that influence our product offerings and operational efficiencies.
:Responsibilities
Data Validation: Oversee the validation of both incoming data and output generated by the team to ensure accuracy and reliability in all data sets and analytics outputs and maintain high standards for data quality and integrity.
Internal Data Flow Optimization: Partner with your data team to enhance the internal flow of data. Focus on streamlining processes to ensure efficient data access and utilization across the company.
Collaborate with Cross-Functional Teams: Work with multiple teams and provide them with the needed data to drive decision-making processes.
Requirements:
Educational Background: Bachelors degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field.
Experience Requirements: At least 2 years of experience in a data analysis role, preferably in a B2B SaaS company.
SQL Proficiency: Strong command of SQL for complex querying, data manipulation, and analysis.
Business Intelligence Tools Expertise: Demonstrated experience with BI tools such as Looker, Tableau, and other similar platforms. Ability to leverage these tools to derive business insights and drive decision-making.
Excel Mastery: Proficient in Microsoft Excel with a strong understanding of advanced functions, data visualization, and spreadsheet modeling for data analysis purposes.
Preferred Skills:
Excellent problem-solving skills and the ability to communicate complex data clearly and concisely.
Experience in managing large datasets and creating strategic insights from data.
Ability to work independently and in a team-oriented, collaborative environment.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
4 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Product Analyst
As a Product Data Analyst, you'll play a crucial role in shaping our product roadmap. We're looking for a passionate analyst who is comfortable with analytics, someone who understands how to use large data sets to solve real-world business problems. Someone who thrives on providing technical expertise to quickly deliver insights to the business. We view this role as a trusted advisor to our internal business partners to help them make decisions around strategy, priorities, and tactics.
This will involve:
Collaborating closely with multiple cross-functional teams including product managers, data engineers, business intelligence analysts, product engineering, product marketing and strategy.
Recommending and executing analytics projects - ranging from exploratory data analysis, descriptive statistical methods, experimentation, multi-variate testing and conducting user research.
Ensuring our product feature instrumentation is aligned towards company and product goals, is aligned to best practices and data governance standards.
Quantifying and easily communicating the drivers of business performance to senior leaders. Advising them on ways to change outcomes through recommended calls-to-action, operational and strategic changes.
Requirements:
Education: Bachelors degree in Applied Mathematics, Social Sciences, Information Systems, or related field. Advanced degree or relevant certifications preferred.
Experience: Minimum of 3-5 years of experience in business analysis, data analysis, or related fields. Experience in the software industry or SaaS environment is highly desirable.
Analytical Skills: Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Technical Proficiency: Proficient in SQL, Excel, and data visualization techniques. Experience with cloud data technology, database querying and data modeling techniques.
Business Acumen: Deep understanding of business processes, product growth, adoption and marketing strategies.
Communication Skills: Excellent verbal and written communication skills with the ability to effectively communicate complex ideas and findings to both technical and non-technical stakeholders. Comfortable engaging with senior leadership and providing data-driven recommendations.
Collaboration: Proven track record of collaborating with cross-functional teams including developers, product managers, and business stakeholders to drive successful project outcomes.
Adaptability: Ability to thrive in a fast-paced, dynamic environment with shifting priorities and tight deadlines. Flexibility to adapt to changes and willingness to learn new technologies and methodologies.
Problem-Solving: Demonstrated ability to identify, analyze, and solve complex business problems using data-driven insights and methodologies such as root cause analysis and process improvement techniques.
Project Management: Experience with project management methodologies (e.g., Agile, Scrum) and tools (e.g., JIRA) to effectively manage project timelines, resources, and deliverables.
Attention to Detail: Meticulous attention to detail and commitment to delivering high-quality work products, reports, and presentations.
Strategic Thinking: Ability to think strategically and anticipate future business needs, trends, and opportunities. Proactive approach to identifying and implementing innovative solutions.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
07/04/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.
Requirements:
5+ years of experience working as a data engineer or similar role, with a proven track record of designing and implementing data solutions MUST.
Proficiency in programming languages such as Python, Java, or Scala, with experience building and maintaining data pipelines using frameworks like Apache Spark, Apache Kafka, or similar.
Strong SQL skills and experience working with relational and non-relational databases (e.g., MySQL, MongoDB).
Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and familiarity with services like AWS Glue, Google BigQuery, or Azure Data Factory.
Hands-on experience with ETL/ELT processes, data ingestion, data transformation, data modeling, and monitoring.
Deep experience of one or more of these technologies: Airflow, dbt, Snowflake, Presto / Trino, Kafka, SQS, Sagemaker, Kubernetes, Argo, Terraform, Debezium.
Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Quick learner, team player, independent, imaginative and motivated individual with a passion for data!
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
25/04/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Required Data Analyst
Description
What makes us unique?
This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. We are a leading SaaS company for the field service industry, one of the most recession-proof and lucrative industries today.
We are located in the heart of Tel Aviv, just a short walk from Rothschild Boulevard. Youll find everything you need to focus or work collaboratively with your colleagues in our brand-new, beautifully designed open office space. When were not hard at work, you will find us in our awesome game room with a ping pong table, a comfy lounge, and video games for the ultimate afternoon break. We recognize you have a life outside the office, our workweek is flexible and hybrid, but you wont want to miss happy hour!
Who are you?
You are a highly analytical and detail-oriented individual who is passionate about data and its ability to drive business decisions.
You have a strong understanding of data modeling and are comfortable working with large and complex data sets.
You are a self-starter and a can-do approach who is able to work independently and as part of a team, and you have excellent communication skills that allow you to clearly and effectively communicate data insights to non-technical stakeholders.
So, what will you be doing all day?
Collect, process, and analyze large amounts of data (specifically marketing, sales, operations & CS) to identify trends, patterns and insights with different stakeholders (Israel and US).
Develop dashboards, reports, and alerts to visualize data and communicate findings to stakeholders
Work with cross-functional teams to develop and implement data-driven solutions to business problems
Perform ad-hoc analyses to support strategic initiatives and business decisions
Develop and maintain data models and data pipelines to ensure data accuracy and consistency
Monitor and maintain data quality, identify data inconsistencies, and work with stakeholders to resolve issues
Identify opportunities for process improvements and automation
Stay up-to-date with industry trends and best practices in data analysis and visualization.
Requirements:
Ideally, were looking for:
2+ years of hands-on experience as a data analyst (preferably in a B2B SaaS company)
Vast experience in SQL and visualization tools such as Sisense, Tableau, Looker, etc
Strong understanding of DWH architecture and methodology
Strong skills in data modeling and business logic processes
Excellent communications skills in English
These would also be nice:
Familiarity with HubSpot, Marketing Platforms & Sales and marketing flows
Familiarity with Stripe
Experience with BigQuery data warehouse and Sisense visualization tool
B.Sc relevant degree
Over 700 in the Psychometric test.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
03/04/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for an exceptional Data Team Lead to lead our data analytics team and transform the scraping industry. As a Head of Data, you will be a major focal point in the company, lead a team of data professionals and work closely with cross-functional teams to ensure data-driven decision-making and impactful insights.
What Youll be Doing:
Provide strong leadership and mentorship to a team of data analysts and data engineers by setting clear goals, providing regular feedback, and ensuring the teams professional growth and development
Work closely with Product, Sales and CS teams to gather needs for data insights and reports within the company
Own internal data in the company, including product and business analytics, end to end and be responsible for its delivery, infrastructure, accuracy and integrity
Work closely with the product team to lead data features of our own customer facing analytics dashboard
Lead the analysis of complex datasets to extract valuable insights, trends, patterns and anomalies that drive strategic decisions
Present findings and actionable insights to senior management and cross-functional teams
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth ץ
Requirements:
4+ years of experience in data related roles, with 2+ years as a data engineer and 2+ years of experience in a leadership or managerial role.
Experience as a data analyst or as a manager of data analysts
Programming knowledge in Python or similar, strong SQL skills
Proven experience in managing and leading data teams
Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical personas
Experience working with cloud-based data warehouses such as Snowflake, BigQuery, or Databricks
Experience designing and implementing data pipelines
Experience with working with ELT tools
Experience with SQL databases
Strong problem-solving skills and attention to detail
Excited about owning internal data analytics in the company
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
04/04/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a talented Data Practitioner to join our team and revolutionize the world of external data! In this role, you will be in charge of designing, implementing, testing, deploying, and maintaining our data products, which include data pipelines and ETL processes.
Additionally, you'll harness cutting-edge data science and engineering technologies, such as DBT, Databricks, and Large Language Models (LLMs), to create novel solutions that address complex business challenges.
This role demands strong technical skills alongside a deep understanding of various business contexts, making it ideal for someone passionate about employing the latest technologies to produce meaningful and impactful business outcomes.
Responsibilities:
Lead the development of data products, effectively translating business needs into actionable technical specifications.
Employ cutting-edge technologies including DBT, LLMs, and GenAI to push forward our data science and engineering practices.
Take charge of the entire data product lifecycle, from the creation to the maintenance of ETLs and real-time data pipelines.
Use data science tools to extract actionable insights and valuable business indicators from large datasets.
Ensure high reliability and performance of production systems through robust testing, monitoring, and alerting procedures.
Conduct data analysis across various sources, bringing valuable insights to products and catering to sectors like manufacturing, CPG, and SaaS.
Requirements:
At least 1 year of production-level experience in SQL and Python development - Must
A BSc or BA in Computer Science, a similar field, or being alumni of an IDF technology unit - Must
Demonstrated proficiency in data analysis and system evaluation, with the ability to design experiments that inform product decisions - Must
Significant experience in data processing, especially in maintaining production ETLs - Big Advantage
Experience with building Machine Learning models or LLMs-related experience - Advantage
Experience with Databases, SQL and NoSQL, and Data modeling - Advantage
Familiarity with the latest data tools and platforms, such as Databricks and DBT - Advantage
This position is open to all candidates.
 
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פורסם ע"י המעסיק
3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for an experienced Data Analyst to join our Data team As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.
A day in the life and how you’ll make an impact:
* Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
* Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
* Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
* Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.
Requirements:
* 5+ years of experience in data analysis
* Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
* Strong proficiency in SQL for complex querying and data manipulation.
* Experience with data visualization tools, particularly Looker , is highly desirable.
* Experience in data modeling, ETL development, and data warehousing.
* Ability to work in a fast-paced environment and manage multiple projects simultaneously.
* Experience in Python - an advantage.
* Experience in Airflow - an advantage.
* Ability to understand complex ideas and simplify them to relevant stakeholders

Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
10/04/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and English Speakers
We are seeking a Data Engineer & Analyst specializing in Financial Systems and Data.
The role includes analysing system, financial, and structural data, designing specifications for automated tools, and executing their implementation.
We are looking for professionals with corporate finance expertise, an entrepreneurial mindset, and innovative thinking to enhance decision-making processes.
Responsibilities:
Perform primary and backup financial and structural data analysis, responding to client inquiries on regulation, automation, and data processing
Support the development of advanced analytical techniques, including constructing and testing statistical models for analyzing data trends, banking structure changes' effects, and enhancing structural data quality
Aid in developing business rules and report/application formats for programmers
Oversee new series and report changes, contribute to technical development, and prepare system software change requirements
Make data quality and edit resolution decisions, prepare statistical reports, and provide guidance on automation and data analysis
Provide guidance on series processing and structural data issues, including automation, editing procedures, and data analysis, ensuring unit meets all administrative and internal processing deadlines
Assist in documentation preparation and testing per System Development Methodology (SDM) requirements. Provide technical and data content support to users of system software and data.
Requirements:
Advanced troubleshooting skills
Experience with Oracle ADW, OCI (preferred)
3-5 years of experience in Data Cleansing, Extraction, Modeling, Management, & Transformation
Extensive experience in large-scale data transformation implementation
Proficient in implementing large Data Lake/Data Fabric solutions
In-depth understanding of database management systems and scripting (SQL, NoSQL, Python), including Oracle DB, Snowflake, PostgreSQL, MongoDB, or similar
Skilled in collaborative project development using version-control systems like GitHub/GitLab, and IDEs such as IntelliJ and VSCode, with proficiency in terminal operations (GitBash, CMD, PowerShell)
Familiarity with cloud architecture principles (scalability, reliability, availability, security)
3-5 years of experience with data pipeline and integration workflow management tools
Knowledgeable about change management in implementing data & information management strategies, BI, and advanced analytics
Awareness of market trends and technologies in data management, analytics, and visualization
Team player with a customer support mindset
Fluent in English, both verbal and written
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
07/04/2024
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Bachelor's degree in a relevant field (Computer Science, Data Science, Engineering, and other related STEM fields). A Master's degree is an advantage.
At least 3 years of proven experience in data science, and data analytics in a professional setting.
Experience as a system engineer or technical project manager is an advantage
2-3 years of Experience in AI operations, deployment of AI modules, and productionization of AI is an advantage.
Strong proficiency in Python and SQL for data analysis, scripting, and automation.
Familiarity with statistical analysis, machine learning concepts, and AI model evaluation.
Exceptional problem-solving skills and the ability to troubleshoot complex technical issues.
Strong collaboration and communication skills to work effectively with cross-functional teams.
Analytical mindset and attention to detail to ensure AI solutions deliver reliable and accurate results.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
7683146
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