Senior Data Science & Automation Analyst

Position Overview

"SENIOR DATA SCIENCE & AUTOMATION ANALYST" – The Senior Data Scientist works closely with business stakeholders to understand objectives and determine how data can be used to drive business insights. In this role, you will lead data analytics and data science processes by designing algorithms and predictive models, performing data mining and statistical analysis, and sharing impactful insights to support decision-making.

Key Responsibilities

• Conduct and lead data analysis and mining by acquiring, processing, cleansing, integrating, exploring, and investigating datasets using algorithms and predictive models.
• Apply advanced data science techniques, including machine learning, statistical modeling, and artificial intelligence in collaboration with senior team members.
• Measure, improve, and present analytical results to stakeholders, making adjustments based on feedback to address new challenges.
• Document analytic and data science work products.
• Define and execute data transformations, aggregations, and other manipulations to meet business requirements.
• Conduct peer and team review sessions for quality assurance.
• Assist in creating standards, templates, and procedures for the department.
• Contribute to the design of the data structure, data model, and data flow within the organization.
• Leverage diverse query tools (e.g., SQL, R, Python) and analytic techniques to analyze large, multi-source datasets and support dashboards, forecasts, and strategic presentations.

Required Qualifications

• Bachelor's Degree or equivalent
• Minimum 12 years of advanced coding experience in Java, R, SQL, and Python
• Minimum 6+ years in statistical analysis, machine learning, computer science, programming, and data storytelling
• Minimum 6+ years with big data technologies such as Spark, AWS, Hadoop, and traditional RDBMS like Oracle and SQL Server
• Minimum 6+ years of data mining experience, preferably in a data-intensive financial environment

Preferred Qualifications

• Proficient experience in machine learning techniques and algorithms
• Strong experience with common data science toolkits and visualization tools
• Solid statistics skills including distributions, testing, and regression analysis
• Excellent initiative, organization, and time management skills
• Advanced analytical and problem-solving abilities
• Exceptional verbal and written communication skills
• Strong interpersonal skills with a proven ability to collaborate effectively in team environments
• Ability to work independently, research and resolve issues, and effectively communicate with management
• Demonstrated ability to manage multiple tasks and meet deadlines
• Experience in leading multiple tasks and projects while guiding stakeholders to resolve new challenges

Benefits & Perks

• Compensation: Starting base salary: $87,000–$148,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions.
• Comprehensive healthcare coverage including Medical, Dental, and Vision plans available the first of the month following the start date
• Generous 401(k) company matching contribution
• Career development through Tuition Reimbursement and internal upskilling and training resources
• Valued Time Away benefits including vacation, sick, and volunteer time
• Specialized health and family planning benefits including fertility support and programs for cancer, diabetes, and musculoskeletal issues
• Career mobility support provided by a dedicated recruitment team
• Colleague Resource Groups to support networking and community engagement