Senior Data Scientist, Long Island City, New York

The Senior Data Scientist role is designed to develop and implement advanced data science models and machine learning solutions that address key business challenges. This position contributes by translating large and complex data into actionable insights and scalable analytics tools, directly impacting business functions and enabling data-driven decisions.

1. Responsibilities:

• Design, develop, and implement advanced data science models and machine learning solutions.

• Apply advanced techniques to large datasets and collaborate with cross-functional teams.

• Execute advanced analytics using scalable and reusable codebases.

• Generate and test hypotheses aligned with priority business use cases.

• Ensure compliance with analytics standards and tailor methodologies to specific needs.

• Define data requirements, evaluate data quality, and extract/manipulate data in big data environments.

• Create interactive visualizations and presentations to support decision-making.

• Collaborate with Data Engineering to implement data pipelines and tools.

• Identify and remediate data issues promptly.

• Experience building data models and pipelines for large datasets.

• Proficiency with complex algorithms and analytics methodologies across multiple platforms, including Google Cloud Platform.

• Strong skills in SQL and Python.

• Knowledge of core analytical and statistical methods, such as regression, clustering, predictive modeling, time-series analysis, and machine learning.

• Experience with visualization tools like Tableau and Power BI.

• Ability to collaborate with business functions to deliver decision-support solutions.

• Skills in data analysis to identify deliverables, gaps, and inconsistencies.

• Competence in data management and data modeling.

• Familiarity with version control using Git and development tools including PyCharm and VS Code.

1. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note

The organization operates in the data science and analytics domain, focusing on leveraging advanced analytical techniques to improve online experience, marketing, merchandising, and store operations. It addresses challenges related to extracting actionable insights from large datasets and developing scalable AI solutions that enhance business decision-making processes.