Description

As a Senior Data Science Analyst, you will play a crucial role in our data science team, driving insights from complex datasets to inform strategic decisions. You will utilize your expertise in data modeling, Python, SQL, and statistical analysis to develop innovative solutions, optimize data flows, and create effective dashboards. Your structured thinking, leadership, and collaborative skills will be key as you work across teams to implement data-driven strategies that propel our company forward. Key Responsibilities: Lead and execute data modeling projects, ensuring data accuracy, efficiency, and accessibility. Develop and maintain advanced analytical frameworks and methodologies. Implement machine learning models to solve complex business problems. Optimize data pipelines and architectures for scalability and performance. Collaborate with cross-functional teams to drive data-centric solutions. Mentor junior analysts and contribute to the team's knowledge sharing. Skills and Qualifications: 5+ years of experience in data science or a related field. Proficiency in Python, SQL, and statistical analysis tools. Strong experience with data modeling, data cleaning, and preprocessing. Knowledge of neural networks, regression models, and database management systems (MySQL, PostgreSQL, BigQuery, MongoDB). Experience with Looker, Airflow, Airbyte, and other data engineering tools. Fluent in English, with excellent communication and collaboration skills.

Role and Responsibilities

• As a Senior Data Science Analyst, you will play a crucial role in our data science team, driving insights from complex datasets to inform strategic decisions. You will utilize your expertise in data modeling, Python, SQL, and statistical analysis to develop innovative solutions, optimize data flows, and create effective dashboards. Your structured thinking, leadership, and collaborative skills will be key as you work across teams to implement data-driven strategies that propel our company forward. Key Responsibilities: Lead and execute data modeling projects, ensuring data accuracy, efficiency, and accessibility. Develop and maintain advanced analytical frameworks and methodologies. Implement machine learning models to solve complex business problems. Optimize data pipelines and architectures for scalability and performance. Collaborate with cross-functional teams to drive data-centric solutions. Mentor junior analysts and contribute to the team's knowledge sharing. Skills and Qualifications: 5+ years of experience in data science or a related field. Proficiency in Python, SQL, and statistical analysis tools. Strong experience with data modeling, data cleaning, and preprocessing. Knowledge of neural networks, regression models, and database management systems (MySQL, PostgreSQL, BigQuery, MongoDB). Experience with Looker, Airflow, Airbyte, and other data engineering tools. Fluent in English, with excellent communication and collaboration skills.