Principal Specialist Data Scientist (Remote)

Date Posted:

2024-07-11

Country:

United States of America

Location:

HNC99: Field Office - NC Remote Location, Remote City, NC, 27601 USA

Position Role Type:

Remote

We are seeking a highly experienced and innovative Principal Specialist in Data Science & Analytics to lead the analysis, modeling, and explanation of data to produce analytical results. The ideal candidate will develop standards, policies, software, and procedures for the development of analytical results and predictive models. They will define and execute useful analyses to solve complex problems and optimize the performance of data systems by discovering, cleaning, and utilizing appropriate data from enterprise systems. If you have a passion for data-driven decision making and possess the skills and experience listed below, we encourage you to apply for this exciting opportunity as a Principal Specialist in Data Science & Analytics.

What You Will Do:

• Lead the improvement of strategic financial planning forecasting, risk and scenario analysis, maintenance repair and overhaul forecasting, part manufacturer approval exposure, and supplier furnished equipment forecasting.
• Develop testing and validation methodologies and criteria to ensure accurate and reliable analytical results
• Develop data/information and model quality metrics to assess the effectiveness and efficiency of analytical models
• Research new technologies and develop business cases to support their use in data science and analytics
• Identify market trends, generate insights, and come to strategic business conclusions to support decision making across the organization

Qualifications You Must Have:

• Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience or in absence of a degree, 9 years of relevant experience
• U.S. Person (U.S. citizen, permanent resident, or granted refugee or asylee status) as defined here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
• Proficiency in programming languages such as Python, R, or SQL
• Proficiency in statistical modeling

Qualifications We Prefer:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Master's or PhD preferred.
• Regression modeling
• Time series modeling
• Experience in data analysis, modeling, and predictive analytics
• Experience with data visualization tools such as Tableau or Power BI
• Ability to communicate complex analytical findings to non-technical stakeholders
• Proven track record of improving forecasting accuracy and strategic decision making through data science and analytics

What We Offer:

Some of our competitive benefits package includes: 

• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
• Tuition reimbursement program
• Student Loan Repayment Program
• Life insurance and disability coverage
• Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
• Birth, adoption, parental leave benefits
• Ovia Health, fertility, and family planning
• Adoption Assistance         
• Autism Benefit
• Employee Assistance Plan, including up to 10 free counseling sessions
• Healthy You Incentives, wellness rewards program
• Doctor on Demand, virtual doctor visits
• Bright Horizons, child and elder care services
• Teladoc Medical Experts, second opinion program
• And more!

Learn More & Apply Now!

Diversity drives innovation; inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility.

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This role is also eligible for the Re-Empower Program.