Mid-Level Data Scientist

Role Overview

We are seeking a motivated and talented mid-level data scientist to join a growing digital data science department. This role involves building predictive solutions for mobile applications and online business operations. The position will collaborate with senior team members, leaders, and business units to create custom solutions and data science models that provide insights into customer digital behavior and enhance user experience.

Responsibilities

• Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions.
• Partner with business units to gather requirements and develop data science solutions that address specific business challenges.
• Write efficient code in Python and SQL to manipulate and analyze data.
• Design, develop, and evaluate predictive models and algorithms with moderate to high complexity.
• Utilize traditional and machine learning techniques to build a variety of models.
• Analyze and interpret complex results.
• Develop and code modeling programs, algorithms, and automated processes.
• Use modeling and trend analysis to analyze data.
• Collaborate with team members on projects and initiatives.
• Utilize effective written and verbal communication to document and present findings.

Required Qualifications

• Education: Bachelor's degree in data science, statistics, economics, mathematics, computer science, engineering, or a similar quantitative field.
• Experience: 3-7 years of experience in data science, statistics, and data analytics.
• Technical Skills:
  • Strong programming abilities in SQL, Python, PySpark, R, or similar languages for data exploration, preparation, modeling, and statistical analysis.
  • Experience with machine learning techniques and tools such as logistic regression, XGBoost, neural networks, NLP, and clustering.
  • Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop.
  • Technical writing skills.
  • Strong communication and data storytelling presentation skills.

Preferred Qualifications

• Master's degree in data science, statistics, mathematics, or a similar quantitative field.
• Familiarity with project management tools such as Azure DevOps (ADO) or JIRA.
• Knowledge or insights into financial services and banking products.

Benefits

• Medical, dental, vision, life, disability, and other supplemental insurance plans.
• Employee stock purchase program (ESPP).
• 401K program with company match after 12 months of tenure.
• Health Savings Account (HSA) on the HDHP plan.
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions.
• Corporate discount savings program and other discounts.
• On-demand training program.
• Access to certification prep and a library of technical and leadership courses/books/seminars after 6+ months of tenure.
• Certification discounts and perks through associations including CompTIA and IIBA.
• Dedicated customer service team for Consultants and a certified Career Coach.