IT Data Scientist III

Medical Mutual•Cleveland, OH

2d•Hybrid

About The Position

Medical Mutual employees must submit their applications through MySource. Note: This is a hybrid role based in Brooklyn, OH, requiring three days per week on-site. Founded in 1934, Medical Mutual is the oldest and one of the largest health insurance companies based in Ohio. We provide peace of mind to more than 1.2 million members through our high-quality health, life, disability, dental, vision and indemnity plans. We offer fully insured and self-funded group coverage, including stop loss, as well as Medicare Advantage, Medicare Supplement, and individual plans. Job Summary: Senior data science developer specialized in design and development of machine learning models. Senior data scientists are expected to be self-sufficient and able to assist in coaching junior data scientists. Core job duties are extracting data and preparing data for machine learning models and designing, optimizing, measuring and testing machine learning models. Additional responsibilities include planning and development for integration of machine learning models into production systems, and ad-hoc exploratory analytics to understand and describe data-driven trends.

Requirements

Masters/PhD degree in Computer Science, mathematics, machine learning/AI or equivalent combination of a bachelor’s degree and work experience
4+ year experience with machine learning techniques (feature encoding techniques, embeddings, various kinds of models, hyperparameter optimization, regularization techniques, loss and performance metrics) in a team environment
4+ years of experience with SQL programming language
2+ years of experience with python programming language
Advanced programming design patterns and coding techniques required
Skilled with all parts of the systems development life cycle required
Relational database technologies and query semantics required
Python programming language required
Machine learning system integration required
ML in Python/Jupyter notebooks environment
AWS SageMaker
Python ML libraries, strategies, and techniques
R programming language
Data analytic and visualization experience using R or Python
ETL technology and techniques

Responsibilities

Feature selection/design and extracting and preparing data for machine learning models
Developing, optimizing and testing machine learning models
Measuring and understanding performance of machine learning models and proposing/experimenting with methods to improve models
Designing and executing production system integration for machine learning models
Working with business for feature selection and design, presenting and reviewing model performance, explaining model performance metrics in terms of business impact
Ad-hoc analytics and data science work to explore data and understand and describe data trends
Learns new technical concepts and software languages as needed.
Performs other duties as assigned

Benefits

Laptop, monitors, keyboard, mouse and headset provided
On-site fitness centers or gym membership reimbursement
On-site cafeteria
Discounts at many places
Opportunity to earn cash rewards
Business casual attire
Employee bonus program
401(k) with company match up to 4% and an additional company contribution
Health Savings Account with a company matching contribution
Medical, dental, vision, life and disability insurance
Employee Assistance Program
Company holidays
Up to 16 PTO days during the first year of employment with options to carry over unused PTO time
Parental leave for eligible employees who become parents through maternity, paternity or adoption
Career development programs and classes
Mentoring and coaching
Tuition reimbursement up to $5,250 per year
Diverse, inclusive and welcoming culture with Business Resource Groups