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Expert Data Scientist

Abra Information Technologies · Bnei Brak, Tel Aviv District, Israel · Onsite

Weak hiring record · median 608 days open

2222

Hiring signal

Ghost risk

Open 686 days · How we score

All reasons
  • Open 686 days
  • 100% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Expert Data Scientist at Abra Information Technologies. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Description

Abra is recruiting Expert Data Scientist (For Part time role)

We are seeking an experienced and innovative Data Scientist to join our team. The ideal candidate will have extensive knowledge in statistical modeling, machine learning, data analytics, and programming. You will leverage your expertise to extract insights from complex datasets, build predictive models, and contribute to the organization’s decision-making process. This is a strategic role that involves collaboration across departments to solve challenging problems, drive business innovation, and contribute to organizational success.

Requirements

  • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Minimum of 5-7 years of experience in data science or advanced analytics roles.
  • Proficiency in programming languages like Python, R, and SQL.
  • Strong understanding of machine learning algorithms, statistical methods, and data visualization techniques.
  • Experience with big data tools, cloud environments, and databases.
  • Exceptional problem-solving skills with the ability to translate business requirements into technical solutions.
  • Strong interpersonal and communication skills to collaborate across teams and present findings ejectively.
  • Experience with deep learning frameworks (e.g., TensorFlow, Kera's, PyTorch).
  • Familiarity with data visualization tools like Tableau, Power BI, or Plotly.
  • Exposure to domain-specific applications (e.g., NLP, computer vision, time-series forecasting).
  • Knowledge of DevOps practices and MLOps pipelines.

Skills

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