Sr. Data Scientist

About the Role

Key Responsibilities

• Collaborate with ACA business partners to identify business opportunity areas and formulate data science problems.
• Design robust and innovative data-driven solutions using advanced algorithms.
• Lead large projects, providing direction to junior data scientists or analysts.
• Analyze large, structured and unstructured data to generate predictive and prescriptive insights.
• Develop data-driven analytical products for business partners, focusing on member experience and satisfaction.
• Create strong visualizations and engaging presentations to explain model outcomes.
• Develop strong partnerships with key stakeholders in business, IT, marketing, and finance.
• Lead activities such as standardization of product development processes, solution deployment, and development of model risk and governance guidelines.
• Evaluate new technologies and data sources to improve analytical products and serve members effectively.
• Improve organizational knowledge of emerging AI and machine learning technologies, frameworks, and trends.

Requirements

• Master's degree in Data Science, Analytics, Computer Science, Applied Math, Operations Research, Economics, Statistics, or a related analytical field.
• Three (3) years of experience in data science, machine learning engineering, data analysis, or related roles.
• Experience working in big data environments using technologies such as Spark, Flink, NoSQL, or database structures.
• Experience with cloud computing technologies like AWS or GCP for building advanced analytic solutions.
• Experience using statistical methods, machine learning, or deep learning algorithms in a business setting.
• Advanced programming skills in Python, R, SQL, or Matlab.
• Advanced experience with data visualization tools such as D3.js, Tableau, or R.
• Experience with data analytics tools.

Nice to Have

• Experience leading projects and providing technical guidance to team members.
• Knowledge of AI and machine learning frameworks and trends.
• Experience deploying models in production environments.

Qualifications

• Master's degree in a relevant analytical or technical field.
• At least three years of professional experience in data science or related roles.

Benefits & Perks

• Flexible work arrangements including remote work within the operational footprint.
• Supportive work environment with a focus on employee fulfillment and career growth.
• Comprehensive benefits package (details available through company resources).