IT Data Scientist

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 1.6 million Ohioans 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.  

Medical Mutual’ s status as a mutual company means we are owned by our policyholders, not stockholders, so we don’t answer to Wall Street analysts or pay dividends to investors. Instead, we focus on developing products and services that allow us to better serve our customers and the communities around us and help our members achieve their best possible health and quality of life.  

IT Data Scientist I

Entry-level data scientist developer specialized in design and development of machine learning models. 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.

IT Data Scientist II

Experienced junior data science developer specialized in design and development of machine learning models. 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

IT Data Scientist III

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.

IT Data Scientist IV

Expert data science developer responsible for leading team activities for design and development of machine learning models. 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.

Responsibilities 

IT Data Scientist I

• 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

IT Data Scientist II

• 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

IT Data Scientist III

• 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

IT Data Scientist IV 

• 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

Qualifications

IT Data Scientist I

Education and Experience

• Masters/PhD degree in Computer Science, mathematics, machine learning/AI or equivalent combination of a bachelor’s degree and work experience
• 0 to 1-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

Technical Skills and Knowledge:

• Programming design and coding techniques required
• Familiarity with systems development life cycle required
• Relational database technologies and query semantics 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
• Machine learning system integration
• Python programming language
• ETL technology and techniques

 IT Data Scientist II

Education and Experience

• Masters/PhD degree in Computer Science, mathematics, machine learning/AI or equivalent combination of a bachelor’s degree and work experience
• 2+ 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
• 2+ years of experience with SQL programming language
• 1+ years of experience with python programming language

Technical Skills and Knowledge:

• Programming design and coding techniques required
• Familiarity with systems development life cycle required
• Relational database technologies and query semantics required
• Python programming language 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
• Machine learning system integration
• ETL technology and techniques

IT Data Scientist III

Education and Experience

• 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

Technical Skills and Knowledge:

• 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

IT Data Scientist IV

Education and Experience

• Masters/PhD degree in Computer Science, mathematics, machine learning/AI or equivalent combination of a bachelor’s degree and work experience
• 6+ 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
• 6+ years of experience with SQL programming language
• 2+ years of experience with python programming language

Technical Skills and Knowledge:

• Mastery of 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

Medical Mutual is looking to grow our team! We truly value and respect the talents and abilities of all of our employees. That's why we offer an exceptional package that includes:

A Great Place to Work:

• Top Workplace in Northeast Ohio. Year after year we've received this recognition!
• On-site wellness center at most locations. Enjoy personal trainers, towel service, locker room, weight room, elliptical machines, and a variety of classes!
• On-site cafeteria serving hot breakfast and lunch, at most locations. Choices ranging from salad bar, made to order, hot and cold sandwiches, or a variety of entrees cooked fresh daily. Convenience store at most locations
• Employee discount program. Discounts at many places in and around town, just for being a Medical Mutual team member
• Business Casual attire

Excellent Benefits and Compensation:

• Competitive compensation plans
• Employee bonus program
• 401(k) with company match and an additional company contribution
• Excellent medical, dental, vision, and disability insurance

An Investment in You:

• Career development programs and classes
• Mentoring and coaching to help you advance
• Education reimbursement up to $5K per year

About Medical Mutual:

We strive to create peace of mind. Our customers can trust us to do things right and to help them get value from their health plan. We're the largest health insurer in Ohio and for over 85 years, we've been serving our members and the Ohio communities where they live and work. Medical Mutual is a Top Place to Work in Northeast Ohio with exceptional career opportunities that offer challenge, growth and a great work/life balance. We want talented, innovative, and driven people to help us continue to be the best health insurance choice of Ohioans and help make Ohio the best it can be! Our headquarter building is located in the heart of downtown Cleveland and we have multiple offices throughout the state. Join us at one near you!

At Medical Mutual and its family of companies we celebrate differences and are mutually invested in our employees and our community. We are proud to be an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, veteran status, or disability status.

We maintain a drug-free workplace and perform pre-employment substance abuse and nicotine testing.