Associate Data Scientist

This is a fully remote position, open to applicants in New York.

📋 Description

• Extract, transform, aggregate, and analyze extensive and intricate datasets utilizing SQL, Python, R, Spark, and related technologies.

• Conduct exploratory data analysis (EDA), feature engineering, and data validation to facilitate analytics and modeling efforts.

• Create, assess, and sustain descriptive and predictive machine learning models through tools like scikit-learn, Jupyter Notebooks, Python, R, and/or SAS.

• Employ statistical modeling and data mining methodologies, encompassing regression, classification, clustering, decision trees, and other related techniques.

• Leverage Generative AI and AI-assisted tools, including LLMs, coding assistants, and AutoML platforms, to enhance analytical workflows and insight generation.

• Implement Generative AI methods such as prompt engineering, text summarization, classification, and LLM-assisted analysis within business or research contexts.

• Collaborate with stakeholders to convert business challenges into analytical solutions and effectively communicate findings.

• Develop and sustain business intelligence solutions and dashboards utilizing Tableau, Power BI, or similar visualization tools.

• Establish metrics, validate data quality, and assist in semantic layer development to ensure precise reporting and business insights.

• Adhere to responsible AI principles, including awareness of data privacy, bias mitigation, ethical AI practices, and model limitations.

⛳️ Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline, with graduation anticipated in 2026.

• At least 2 years of experience in data analysis, quantitative modeling, or data-driven decision-making through academic, internship, research, or professional experiences.

• Proficient in SQL and Python for data analysis, visualization, and modeling tasks.

• Experience handling large datasets and distributed data processing frameworks such as Spark.

• Strong grasp of statistics and foundational machine learning principles, including model evaluation techniques.

• Practical experience with machine learning libraries and tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS.

• Exposure to Generative AI technologies and AI-assisted analytical processes.

• Familiarity with business intelligence and visualization platforms like Tableau or Power BI.

• Excellent analytical thinking, problem-solving, and communication abilities.

🏝️ Benefits

• Opportunities to learn and grow daily through a diverse array of programs.

• Internal digital platforms that encourage self-directed learning.

• Development programs focused on Leadership skills.

• Specialized training tailored to the role.

• Learning experiences with both internal and external providers.

• Recognition programs for seniority, behavior, leadership, and significant life moments, among others.

• Financial wellness programs designed to support you in achieving your goals at every stage of life.

• A flexibility program that enables you to balance personal and professional life, adjusting your workday to fit your lifestyle.

• Family benefits such as WellnessLine, numerous Agreements and Discounts, Scholarship programs for your children, and Aid Plans for various life events, among others.