Data Scientist

• Master’s Degree in Computer Science, Data Science, Statistics, Big Data, or related fields
• At least 4 years’ significant experience in the field, preferably in a SaaS company.
• Expertise in Machine Learning algorithms and programming languages such as Python and Java.
• Knowledge of data management tools and databases.
• Expertise in web analysis.
• Analytical skills, enabling him/her to identify and understand the company’s business issues.
• Rigorous, organized and laser focus.
• Excellent communication skills, enabling him/her to make his/her work intelligible to as many people as possible and to convince decision-makers.
• Excellent analytical and problem-solving skills.
• Ability to communicate complex results effectively to non-technical audiences.
• Excellent communication skills.

• Master’s Degree in Computer Science, Data Science, Statistics, Big Data, or related fields
• At least 4 years’ significant experience in the field, preferably in a SaaS company.
• Expertise in Machine Learning algorithms and programming languages such as Python and Java.
• Knowledge of data management tools and databases.
• Expertise in web analysis.
• Analytical skills, enabling him/her to identify and understand the company’s business issues.
• Rigorous, organized and laser focus.
• Excellent communication skills, enabling him/her to make his/her work intelligible to as many people as possible and to convince decision-makers.
• Excellent analytical and problem-solving skills.
• Ability to communicate complex results effectively to non-technical audiences.
• Excellent communication skills.

Job Description

• We are looking for a motivated and skilled Data Scientist.
• This position is crucial for analyzing complex data sets, deriving meaningful insights and supporting the company’s strategic decisions.

Duties

• Exploit and interpret data.
• Translate business problems into mathematical and statistical ones, in order to provide reports to guide management decision-making.
• Improve performance and marketing strategies using data.
• Use machine learning techniques to predict future trends and optimize strategies across our business units.
• Ensure data quality and integrity, including data cleansing, preparation and exploration.
• Keep up to date with the latest technologies and techniques in data science and machine learning.
• Identification of analysis tools.
• Management of data storage solutions
• Gathering and analyzing business-relevant data
• Building algorithms to improve search and targeting results
• Development of predictive models to anticipate changes in data and trends
• Creation of customized dashboards to make results readable and exploitable by all business functions
• Technology watch (data collection, processing platforms, experimentation).
• Collaborate with different departments to understand their data needs and provide data-driven solutions.
• Present complex results in an understandable way to facilitate data-driven decisions.
• Coordinate actions with the various business teams to ensure optimum customer satisfaction.