обновлено 11 дней назад
ML & Big Data Analyst
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML & Big Data Analyst (Machine Learning/Big Data): Processing and streamlining complex datasets, validating new data sources, and creating data quality and algorithm evaluation tools with an accent on quantitative analysis, data mining, and statistical principles. Focus on evaluating novel data science algorithms, improving data quality, and building scalable solutions with Big Data Engineers.
Location: Tel Aviv, Israel
Company
provides a digital intelligence platform that reveals online activity and helps businesses make data-driven digital strategy decisions.
What you will do
- Process and streamline complex datasets for the Core Data group.
- Research and validate new data sources.
- Apply quantitative analysis and data mining to generate insights.
- Develop tools to assess the quality of data and algorithms.
- Evaluate and improve algorithms created by data scientists.
- Partner with Big Data Engineers to build infrastructure for scalable solutions.
Requirements
- At least 5 years of experience as an analyst in a technology company.
- At least 2 years of experience with Python scripting.
- Experience using SQL for data analysis.
- Knowledge of statistical principles, concepts, methods, and standards.
- Excellent verbal and written communication skills in English.
- Strong analytical, research, business, teamwork, self-learning, and fast-learning skills.
Nice to have
- Experience with Hadoop, Spark, or AWS infrastructure.
- Experience with data visualization tools and modules such as Matplotlib, Seaborn, or similar.
Culture & Benefits
- Opportunity to work on a digital intelligence product used by global customers.
- Open dialogue and support for employee ideas and initiative.
- Competitive compensation and benefits.
- Community activities, including team outings and social events.
- Career development through coaching, learning programs, and internal mobility opportunities.
- Commitment to diversity, inclusion, equality, and mutual respect.
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