Associate Data Scientist

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

📋 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 enhance analytics and modeling efforts.

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

• Implement statistical modeling and data mining techniques, encompassing regression, classification, clustering, decision trees, and similar methodologies.

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

• Work collaboratively 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 comparable visualization platforms.

• Adhere to responsible AI principles, which include awareness of data privacy, bias reduction, ethical AI usage, and understanding 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 utilizing distributed data processing tools such as Spark.

• Strong grasp of statistics and 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 tools such as Tableau or Power BI.

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

🏝️ Benefits

• Opportunities for daily learning and development through a variety of programs.

• Access to internal digital platforms that foster self-learning.

• Development programs focused on leadership skills.

• Specialized training tailored to the role.

• Learning experiences facilitated by both internal and external providers.

• Recognition programs for seniority, behavior, leadership, life moments, and more.

• Financial wellness programs designed to help you achieve your goals at every stage of life.

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

• Family benefits such as WellnessLine, numerous agreements and discounts, scholarship programs for children, and assistance plans for various life events.