Medical Mutual Job - 47721278 | CareerArc
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Company: Medical Mutual
Location: Brooklyn, OH
Career Level: Entry Level
Industries: Banking, Insurance, Financial Services

Description

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

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

  • We will provide the equipment you need for this role, including a laptop, monitors, keyboard, mouse, and headset.
  • Whether you are working remotely or in the office, employees have access to on-site fitness centers at many locations, or a gym membership reimbursement when there is no Medical Mutual facility available. Enjoy the use of weights, cardio machines, locker rooms, classes and more.
  • On-site cafeteria, serving hot breakfast and lunch, at our Brooklyn, OH location. Convenience stores at many locations.
  • Discounts at many places in and around town, just for being a Medical Mutual team member.
  • The opportunity to earn cash rewards for shopping with our customers.
  • Business casual attire, including jeans. 

Excellent Benefits

  •  Employee bonus program
  • 401(k) with company match up to 4% and an additional company contribution.
  • Health Savings Account with a company matching contribution.
  • Excellent medical, dental, vision, life, and disability insurance — insurance is what we do best, and we make affordable coverage for our team a priority.
  • Access to an Employee Assistance Program, which includes professional counseling, personal and professional coaching, self-help resources and assistance with work/life benefits.
  • Company holidays and up to 16 PTO days during the first year of employment with options to carry over unused PTO time.
  • After one year of service, parental leave for eligible employees who become parents through maternity, paternity, or adoption.

 

An Investment in You

  • Career development programs and classes.
  • Mentoring and coaching to help you advance in your career.
  • Tuition reimbursement up to $5,250 per year, the IRS maximum.
  • Diverse, inclusive, and welcoming culture with Business Resource Groups.

 

About Medical Mutual

Medical Mutual's status as a mutual company means we are owned by our policyholders, not stockholders, so we do not answer 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. 

There is a good chance you already know many of our Medical Mutual customers. As the official insurer of everything you love, we are trusted by businesses and nonprofit organizations throughout Ohio to provide 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. Our plans provide peace of mind to more than 1.5 million Ohioans.

We are not just one of the largest health insurance companies based in Ohio, we are also the longest running. Founded in 1934, we aree proud of our rich history with the communities where we live and work. 

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.


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