Associate Data Scientist job at Blue Cross Blue Shield - BCBS in US National

Title: Associate Data Scientist Location: Remote USA Full-Time Salary Range: $71,101.18 USD to $117,317.05 USD Remote/Work from Home Job Description: All about us You likely know us as an insurance company, but that's just a portion of what we do. Hundreds of thousands of North Dakotans trust us to provide them with personalized service and unmatched access to care. It's a mission we take seriously. We also work with entities throughout the state to challenge the cost and complexity of health care in North Dakota. This uncompromising goal requires caring, innovative people who are ready and willing to help create a new level of health and well-being in North Dakota and beyond. Work environment This position offers flexibility for remote, hybrid, or in-office work arrangements. We empower our employees to find a work style that is best for them. Learn more at Life at Blue | BCBSND. This position is eligible for internal Blue Cross Blue Shield employees and external applications. Pay information Pay Level: 024 FLSA Category: Exempt - Salary Individual pay will be based on skills, experience, qualifications, location, internal equity, and other relevant factors Opportunities for continued salary growth through a performance-based merit program The estimated starting salary for this position is $71,101.18 - $94,209.12 At BCBSND, we're committed to providing fair and equitable compensation. While the posted salary range reflects the full compensation range for this role, offers typically fall at or below the midpoint, and in alignment with internal equity and role expectations. Individual offers are based upon candidates' unique experience, education, and skillsets. The top of the range reflects the ceiling for this role and is only used for offers in exceptionally rare cases. We do not extend offers above the posted maximum. A day in the life The Associate Data Scientist is responsible for assisting in the development and implementation of data driven solutions to solve complex business problems. This role will collaborate with cross-functional teams to gather and analyze data, build predictive models, and provide insights to support decision making processes. Your responsibilities will include Performs research, analysis, and statistical modeling on organizational data Develops and applies algorithms and/or statistical models to key business metrics with the goal of improving operations or answering business questions Analyzes large datasets to identify trends, patterns, and insights and provides findings and analysis that can inform decision-making and strategic initiatives Collaborates with cross-functional internal teams, including marketing, sales, healthcare providers, and IT, to understand business needs and translate them into data-driven solutions Assists in data collection, cleaning, and pre-processing Performs exploratory data analysis to uncover patterns and insights Develops and tests simple models to solve business problems Communicates findings and recommendations to stakeholders through reports, visualizations, and presentations Supports senior data scientists in larger projects and research tasks Stays up to date with industry trends and technologies within data science Performs work under direct supervision; handles basic issues and problems and refers more complex issues to higher-level staff What you need to succeed At least 1 year of experience with data science, statistics, machine learning, algorithms and tools, proficiency in languages such as SQL, Python or R, Apache ecosystem or related experience Master's degree in data science, statistics, mathematics, or a related field Proficiency in analytical thinking to interpret data and identify patterns Ability to solve problems and resolve issues using data-driven approaches Clear and effective verbal and written communication skills Ability to present findings and insights through visualizations and presentations Skill in analyzing large datasets to extract meaningful insights Ability to collaborate with cross-functional teams to understand and address business needs Equivalent combination of education, experience or training determined to be acceptable by Human Resources may be substituted, unless regulated by contract or program standards Benefits Affordable medical, dental and vision coverage accepted throughout the United States Employer funded Lifestyle Spending Accounts, Health Savings Accounts and Health Reimbursement Arrangements Employer-paid life and disability insurance 401(k) retirement plan with company match and immediate vesting Paid holidays, paid time off (PTO), PTO donation program, and paid parental leave Voluntary benefits including Accident, Hospital Indemnity, Critical Illness, Term/Whole Life, Cancer Care Insurance, and more. Additional company perks Robust mental health offerings including an Employee Assistance Program, Learn to Live, meQ. Comprehensive learning and development opportunities and an Educational Assistance Program. 16 hours of paid volunteer time with a $200 donation to a charity of your choice upon completion of all volunteer hours. Employee recognition, community initiative events and yearly company outings. Workplace flexibility offering different options for working arrangements and the freedom to make time for important commitments. Opportunities to connect through employee committees. Equal opportunity employment Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. For questions, please email [email protected]. Application Deadline: This posting is scheduled to close on 1/12/2026 at 8:00 a.m. (CT). However, it may be closed earlier if a high volume of qualified applications is received. We encourage interested candidates to apply promptly. This position is not eligible for employment-based visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and for the entire duration of employment without the need for sponsorship. Apply tot his job