Data Scientist

Intersog® is a Chicago-based provider of ROI-driven custom web and mobile development, specializing in delivering full-service, end-to-end solutions and project resources to Fortune 500 companies, SMEs, and startups. We help our clients achieve ambitious business goals, solve skills shortages, and drive innovation by building Dedicated Software Development Teams in Ukraine and providing on-demand IT project resources.
Our primary goal in partnering with our clients is to exceed their expectations and foster an ongoing relationship that encompasses innovation, industry leadership, and business strategy while delivering products that provide exceptional user experiences, brand elevation, and market dominance.

We are seeking a skilled and experienced Data Scientist to join our team for a project with a client in the finance industry, headquartered in Israel. The project focuses on state-of-the-art machine learning and mathematical modeling to create credit risk models for clients in emerging markets, based on data extracted from a client’s smartphone. Our work positively influences our target markets by providing credit to the otherwise unbanked population.

Requirements:

— 4+ years of professional experience as a Data Scientist.
— Deep understanding of predictive modeling, multivariate analysis, and machine learning.
— Strong knowledge of data visualization, statistical modeling, and data mining.
— Experience in software application development, including design, coding, testing, deploying, and supporting applications.
— Extensive knowledge of Python and data science libraries.
— High proficiency in SQL.
— An analytical and creative mindset.
— Advanced level of English.
— Predictive modeling experience for the mobile and/or risk industry.
— Working experience with AWS Big Data Technologies (Redshift, S3, Athena).
— Working experience with Apache Spark.
— Working experience with graph databases (Neo4j).
— Mandatory experience in the finance industry.

Responsibilities:

— Develop and implement predictive models, multivariate analysis, and machine learning algorithms.
— Design, code, test, deploy, and support software applications.
— Perform data visualization, statistical modeling, and data mining.
— Utilize Python and data science libraries to analyze and interpret complex data sets.
— Write and optimize SQL queries for data manipulation and retrieval.
— Employ creative and analytical thinking to solve complex problems.
— Utilize AWS Big Data Technologies such as Redshift, S3, and Athena.
— Work with Apache Spark and graph databases (Neo4j) to enhance data processing capabilities.
— Apply predictive modeling techniques specifically for the mobile and/or risk industry.
— Leverage experience in the financial sector to drive insights and strategic decisions.

We offer:
— Competitive compensation based on your skills, experience, and customer satisfaction.
— Opportunity to work on challenging and exciting international projects.
— Flexible working hours and work remotely.
— Regular performance evaluation twice a year.
— Long-term contract with 20-25 paid time off working days (for vacation, sick, and personal leave).
— Corporate English courses from A1 to C1 level and monthly English-speaking clubs.
— Compensation of professional conference attendance according to the corporate policy.
— Compensation of medical insurance/gym according to the corporate policy.
— Casual, friendly, and family work environment, flat organizational structure.
— Newborn and wedding bonuses.

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