Sunbit is looking for an experienced, independent team player who has great computer science & data skills, a passion for data, and excellent analytical and algorithmic skills. The main target of this position is to enhance our operation capabilities, specifically in customer efficiency. The work requires an excellent understanding of data, searching insights in data, and constructing algorithms to learn from data, inferring conclusions, and creatively offering solutions based on data analysis. Our Data Science team is part of the R&D group, so you will work closely with engineers and product managers as well.


Developing data-driven products that are used to make operational and business decisions across the company.
Analyzing data for performance assessments and monitoring
Exploring and initiating services that are based on state-of-the-art technologies to serve our fast-growing needs.
A good understanding of machine learning algorithms is required, which may include classification, ranking, and reinforcement learning.

Preferably M.Sc in quantitative discipline or equivalent (preferably in Data Science, Computer Science, Mathematics, Statistics, or another related field with a strong emphasis on quantitative analysis).
Knowledge of Data Science techniques, algorithms, and processes (classification, model selection, clustering, linear regressions, decision trees, random forest, support vector machine, boosting, etc.)
2+ years of experience as a data scientist.
Hands-on experience with Python using libraries such as Numpy, Pandas, PyTorch/TensorFlow.
Excellent analytical and algorithmic skills. Being able to infer conclusions and creatively offer solutions based on data analysis.
Advanced knowledge of SQL

Knowledge of multiple programming languages (preferably Kotlin, Java, Python).
Experience with Kafka, Spark, other big data tools

Please apply as a referral from Lior K at:
Company Industry: Financial Services & FinTech
Employment type:
Workplace policy: Hybrid
Seniority Level: Mid-level
Company size: 51-250 Employees
Job created Jun 25, 2022

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