Search for Data Scientist roles in Harrisburg, PA, specializing in healthcare analytics. I have 3-5 years of experience, and I'm skilled in machine learning and predictive modeling. I'm looking for full-time positions.

Okay, I've searched for Data Scientist roles in Harrisburg, PA, focusing on healthcare analytics, requiring 3-5 years of experience, with skills in machine learning and predictive modeling. I have found 54 positions for you.

Data Scientist

Harrisburg, PA

Healthcare

3-5 years

Full Time

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Scientist II role at Capital Blue Cross is fundamentally about transforming healthcare data into actionable insights that directly contribute to cost reduction and quality improvement in healthcare services. The successful candidate will be expected to design, develop, and implement machine learning and predictive models, a task critical for deciphering complex data sets unique to the healthcare sector. The job requires not just technical proficiency in statistical tools like SAS, R, or Python, but also an intuitive understanding of healthcare trends and the ability to communicate findings to various stakeholders. Challenges may arise in project implementation, particularly in aligning with leadership and advisory boards on identifying cost and utilization opportunities. A successful candidate will likely prioritize rigorous research design while addressing ambiguous data challenges and will demonstrate skill in mentoring, as well as supporting junior team members. Performance success could be measured in the establishment of effective models that provide clear, data-driven recommendations and influence operational strategies within the first year.

Company Analysis:

Capital Blue Cross operates within the healthcare insurance sector, recognized for emphasizing community welfare and employee satisfaction. As one of the 'Best Places to Work in PA,' the company is likely to have a collaborative and mission-driven culture, heavily supporting professional development and community engagement. This can create a highly supportive environment for a Data Scientist II who must navigate complex healthcare data to drive significant changes. The role is essential within a new analytics team focused on preventive medicine, indicating that it will have strategic importance in shaping healthcare solutions. Understanding the evolving demands of healthcare and fostering a flexible work approach align well with the values of Capital Blue Cross, promoting a strong fit for candidates who share a passion for improving health outcomes. This role is positioned for impactful visibility, potentially collaborating cross-functionally with leadership and advisory boards to fulfill the company's goals in healthcare innovation.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time when you developed a predictive model. What challenges did you face, and how did you overcome them?
How do you ensure the methodologies you employ in data analysis are sound and applicable in a healthcare context?
Tell me about your experience with machine learning algorithms. Which ones have you successfully used for healthcare analytics?
What strategies do you use when you need to communicate complex data findings to stakeholders with varying levels of technical understanding?
How would you approach the design and development of a model that aims to reduce healthcare costs for a specific demographic?
What experience do you have with relational and big data technologies? How might this inform your analysis in this role?
Imagine you are working on a project to assess health utilization trends. You encounter conflicting data. How would you proceed?
How would you navigate a situation where a key stakeholder disagrees with your findings or recommendations based on your data analysis?
Why are you interested in working at Capital Blue Cross specifically, and how do you see your role contributing to our mission?
How do you think your training and experience align with the goals of the Product Development team at Capital Blue Cross?
What do you see as the most significant challenge in healthcare data analytics today, and how do you think this role can address it?
Can you discuss how you stay current with advancements in data science and healthcare analytics?
If given the chance, what innovative approach or project idea would you propose for Capital Blue Cross's healthcare analytics team?

Job Details

Overview Company

Data Scientist II

Capital Blue Cross

6 days ago

Highlight

RemoteFull-time3+ yearsMid

Summary

Capital Blue Cross is seeking a Data Scientist II to join their team in Harrisburg, PA. The role involves specializing in healthcare data analytics and preventive medicine, focusing on machine learning, predictive modeling, and data analytics.

About the Role

As a Data Scientist II, you will be responsible for designing, developing, and implementing machine learning and predictive models related to cost, utilization, and quality trends. You will communicate findings to stakeholders, ensure rigorous research design, and identify cost and utilization reduction opportunities. Additionally, you will provide guidance for project implementations and assist in developing an annual work plan for the department.

About You

Required:

Three to five years experience in data science, health services research, outcomes research, healthcare economics or epidemiology.
Experience with quality studies, population-based analysis, disease management, and research methodologies.
Strong intuition for and experience with predictive modeling (statistics and/or machine learning).
Technical sophistication with relational and unstructured database concepts and applications.
Ability to analyze problems, determine impact, and recommend business solutions.
Demonstrated strong oral, written, and presentation skills.
MS or PhD in a quantitative, technical discipline (mathematics, statistics, finance, economics or public health).

Preferred:

Experience in Machine Learning, Predictive Modeling, Bayesian analysis, and causal inference methods.
Bonus experience: JavaScript, Python, Ruby, Perl, Linux, Hadoop, Matlab, SQL, knowledge of No SQL databases and big data philosophies.
Knowledge of managed care insurance and business processes.
Experience mentoring junior and senior level team members.

Benefits

Comprehensive benefits package including Medical, Dental & Vision coverage.
Retirement Plan.
Generous time off including Paid Time Off, Holidays, and Volunteer time off.
Incentive Plan.
Tuition Reimbursement.

Capital Blue Cross

At Capital Blue Cross, we promise to go the extra mile for our team and our community. This promise is at the heart of our culture, and it’s why our employees consistently vote us one of the “Best Places to Work in PA.”

We recognize that work is a part of life, not separate from it, and foster a flexible environment where your health and wellbeing are prioritized. At Capital, you will work alongside a caring team of supportive colleagues that represent the communities we serve, and be encouraged to volunteer locally. We value your professional and personal growth by investing heavily in training and continuing education, so you have the tools to do your best as you develop your career.

And by doing your best, you’ll help us live our mission of improving the health and well-being of our members and the communities in which they live.

Capital Blue Cross is an independent licensee of the Blue Cross Blue Shield Association. We are an equal opportunity employer and do not discriminate on the basis of race, color, religion, national origin, gender, sexual orientation, gender identity, age, genetic information, physical or mental disability, veteran status, or marital status, or any other status protected by applicable law.

Harrisburg, PA