Data Scientist

We are seeking a talented Data Analyst - Surface Equipment to join our team at Recruit Monitor. As a key member of our organization, you will play a crucial role in driving business growth and innovation.

As a Data Analyst, you will be responsible for performing data engineering, data modeling, and model deployment under general supervision. You will analyze large-scale complex business data from various sources, draw insights, and leverage common open-source Machine Learning/Deep Learning packages to identify data patterns and build predictive models.

You will conduct statistical analysis to determine trends and significant data relationships, keep up-to-date with the latest Machine Learning and Artificial Intelligence advancements, and work with data engineers to design and construct data pipelines for reproducible analysis.

Additionally, you will present results of analyses, including the design of graphs, charts, tables, and other data visualizations.

• Industry experience in predictive modeling, data science, and analysis.
• Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn, and cloud computing platforms like Azure.
• Experience handling terabyte-size datasets, diving into data to discover hidden patterns, and using data visualization tools.
• Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
• Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
• Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates with qualifications that exceed the minimum job requirements will receive consideration for higher-level roles based on their experience, additional job requirements, and business needs.

We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.