A challenging role in a new emerging group with lots of room to grow.

As part of the organization's Data and Business Analysis group (Data Office), under the company's Technology Division. Reporting to the Data Science Team Manager. A cross-functional role that touches on various aspects of the company's activities

The role includes:

Learning and characterizing ML modeling problems to support the organization's strategy, providing solutions while understanding the needs and business activities of the various organizational units

Establishing complex data structures for the needs of developing models and using them by business units in the company

Analyzing complex data in data tools and building analytics to solve business problems

Ability to perform visual explorations of data in BI tools such as Tableau and/or PowerBI

Developing and validating statistical models and explaining models in business language

Implementing models in production and performing model validation after their implementation

Requirements:

Bachelor's degree in Industrial Engineering and Management / Economics / Statistics / Computer Science / Mathematics

2-3 years of experience as a Data Scientist

Experience and proven knowledge in complex SQL queries against large databases.

Experience in Python and knowledge of basic libraries such as Pandas/ Numpy/ sklearn seaborn/ matplotlib.

Knowledge of models such as Boosting/ Random Forest/ GLM/ Regression/ Clustering/ PCA/ SVM.

Experience in AWS

Experience in developing Supervised & Unsupervised statistical models

Familiarity with the AWS/Azure/Google Cloud worlds - a significant advantage.

High analytical and technical abilities - mandatory

Work in financial organizations - an advantage

Visual and systemic and understanding of complex processes - an advantage

High level of English - reading and writing

The position is open to both men and women.

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This team is responsible for developing advanced analytics and presenting insights from data, developing Machine Learning and NLP models, extracting text from documents, developing Big Data processes in the Hadoop environment over Spark and KAFKA, including working with data structures such as JSON and Parquet, a graphical database, and more.

The role includes:

Professional team leadership (not team management) including performing CODE REVIEW

Use as a SCRUM MASTER - managing and planning tasks for team members

Working closely with Data Scientists on the team to develop panels for Machine Learning models in the medical field.

Data modeling and application design in the Big Data field

Development of real-time data processes.

Performing basic analysis on data.

Job Requirements:

Academic education in the field of - Software Engineering/Computer Science - required

Four years or more of work experience in Python and SQL development - required

Two years or more of work experience with HDFS, Hive, Spark, Kafka - required

Experience in non-relational databases such as Elastic, Neo4J.

Experience in developing and designing ETL processes - an advantage

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The position is open to both men and women.

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תיאור המועמד :(דרישות התפקיד מבחינת – השכלה, ניסיון, מאפיינים אישיותיים, תכונות וכישורים חיוניים מבעל התפקיד)

• תואר ראשון בהנדסת     תעשיה וניהול / כלכלה / סטטיסטיקה/ מדעי המחשב / מתמטיקה
• לפחות 3 שנות     ניסיון כ- Data     Scientist
• ניסיון והוכחת ידע     בשליפות SQL      מורכבות מול בסיסי נתונים גדולים.
• ניסיון ב-Python     והכרת ספריות בסיסיות כמו Pandas/ Numpy/ sklearn seaborn/ matplotlib.      
• הכרת מודלים כמו Boosting/ Random     Forest/ GLM/ Regression/ Clustering/ PCA/ SVM.
• ניסיון     ב-AWS
• ניסיון בפיתוח     מודלים סטטיסטיים Supervised     & Unsupervised
• הכרות בעולמות     הענן AWS/Azure/Google     Cloude – יתרון משמעותי.
• יכולות אנליטיות     וטכניות גבוהות - חובה
• עבודה בארגונים     פיננסיים – יתרון
• ראיה ומערכתית     והבנת תהליכים מורכבים – יתרון
• אנגלית ברמה גבוהה     - קריאה וכתיבה

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