Junior Data Scientist (Remote)

Imagine a workplace that encourages you to interpret, innovate and inspire. Our employees do just that by helping healthcare payers manage the cost of care, improve competitiveness and inspire positive change. You can be part of an established company with a 40-year legacy that helps our customers thrive by interpreting our client's needs and tailoring innovative healthcare cost management solutions.

Our commitment to diversity, inclusion and belonging are part of the fabric of our company. We strive to create a workplace that fosters mutual respect and collaboration, where every talent individual can participate and perform their best work. We are MultiPlan and we are where bright people come to shine!

This is a work-from-home position

Do you have a passion for looking at data and modeling what you see? Do you have a passion for developing probability models? Are you excited about using your skills to help individuals improve their health?
Our Data Science team applies Advanced Analytics, Statistics, and Artificial Intelligence / Machine Learning to produce solutions that reduce customer health costs and improve outcomes and business processes.

Role Summary
Your work will require deep acquaintance with MultiPlan’s data, seeking to find ways to deliver value through advanced feature engineering. From your models you will deliver actionable insights that can be incorporated into existing products as well as new programs. As a data scientist part of a cross functional team you will work closely with Data & Engineering to deliver production ready code that is robust and ready to scale.
The ideal candidate for this role will have a deep understanding of data, probability and decision science while also having a passion for creating technology to improve health care with an attitude of creativity and continual learning.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Work across diverse teams, perspectives and opinions and quickly build consensus.
• Mine and analyze large structured and unstructured datasets. Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
• Applies knowledge of statistics (Bayesian), machine learning, deep learning, programming, data modeling, simulation and advanced mathematics to recognize patters, identify opportunities, pose business questions and make valuable discoveries leading to prototype development and product improvement.
• Diagnose business need, analyze business process, data flows, technical artifacts and extract understanding of how the system or business process works as input into projects / solutions.
• Autonomously drive the development of machine learning models on a cloud-based infrastructure.
• Develops an innovation pipeline with transformative activities that include both application logic and processes.
• Collaborates with peers and senior leadership to ensure activities are appropriately integrated into the strategic direction, as well as the mission and values of the company.
• Performs assessments and listens to internal/external customers to understand and anticipate their needs and determine their priorities in the context of the overall enterprise.
• Design, develop, tune, and test probability based decision modules for a variety of use cases: classification, regression, forecasting, clustering, recommendation systems, etc.
• Proactively develops, maintains, and evangelizes technical knowledge in Machine Learning and adjacent technologies. Keeps up to date on current trends and best practices.
• Solves unique and complex problems within healthcare payments and claims processing with broad impact on the business and patient care.
• Create visualizations of data that make distributions, trends, and results easy to understand for business leaders.
• Operate within established methodologies, procedures, and guidelines; work independently in a fast-paced, agile environment.
• Collaborates with technology teams in developing technical solutions that will result in accurate and efficient data collection, data management and data reconciliation.

JOB REQUIREMENTS:

• 3+ years of experience in general programming language, e.g. Python or R
• Knowledge of Git/GitHub integration with CI/CD tools
• Problem solving, critical thinking, creativity, organizational, design, interpersonal, communication (written, verbal and listening) skills.
• 3+ years of experience designing and developing statistically grounded decision modules
• 3+ years of experience translating statistical models to functional code
• Bachelor’s or Master’s degree in Statistics, Operations Research, Applied Mathematics, Computer Science, Econometrics or similarly quantitative/technical field
• 3+ years of experience in statistical computing and graphics

JOB PREFERENCES:

• Bachelor’s or Master’s in a quantitative science or related field
• SQL experience
• Process optimization experience
• Healthcare space experience

BENEFITS

We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities.

Your benefits will include:

Medical, dental and vision coverage with low deductible & copay

Life insurance

Short and long-term disability

401(k) + match

Generous Paid Time Off

Paid company holidays

Tuition reimbursement

Flexible Spending Account

Employee Assistance Program

Summer Hours

COMPENSATION

The salary range for this position is $90K - $110K. Specific offers take into account a candidate’s education, experience and skills, as well as the candidate’s work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity.

EEO STATEMENT

MultiPlan is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.