Lead the development of machine learning models and data-driven solutions that drive business growth and innovation

Collaborate with cross-functional teams to identify opportunities for machine learning and data science solutions

Design, implement, and deploy machine learning models using industry best practices

Monitor and maintain the performance and accuracy of machine learning models in production

Conduct exploratory data analysis and feature engineering to develop insights and improve model performance

Stay up-to-date with the latest advancements in machine learning and data science to ensure the company remains at the forefront of innovation

3+ years of experience as a Data Scientist

Expertise in machine learning model development, deployment, and monitoring

Strong programming skills in Python and experience with related libraries such as Pandas

Experience with SQL and database technologies such as Snowflake

Expertise with Apache Spark and Amazon Web Services, including Databricks

Familiarity with Elasticsearch and other big data technologies

Ability to communicate complex ideas and analysis to technical and non-technical stakeholders

Fluent English language skills with an upper-intermediate level

Experience with natural language processing (NLP) and computer vision (CV) technologies

Expertise in data visualization and dashboard creation

Familiarity with containerization technologies such as Docker and Kubernetes

Experience with distributed systems and parallel computing

Knowledge of cloud computing platforms such as Google Cloud Platform and Microsoft Azure