Make an impact with applied data science in an onsite role in Orlando, FL. This position supports exploratory research and predictive modeling work that translates complex data into actionable recommendations for business decisions. You will have access to modern computing and analytics toolsets, and benefit from a comprehensive package including medical, dental, and vision coverage, 401(k) match, and multiple time-off and family support options.
Salary range: USD 98,100 - 182,100 per year.
What you’ll do
- Conduct exploratory research and analysis to uncover novel, meaningful patterns in data, using statistical methods to help reject or accept hypotheses about relationships and latent predictive factors.
- Use a combination of numerical computing systems and advanced technologies, including GPU processing, distributed and cloud computing, and highly parallel coding, to deliver results.
- Apply applied statistics and machine learning algorithms to real datasets to support decision-making.
- Perform exploratory data analysis to identify relationships, patterns, and trends within complex datasets and surface opportunities for business value.
- Develop predictive models and new algorithms to solve data and business problems.
- Leverage strong math and statistics fundamentals to interpret, extrapolate, and prescribe from data using effective visualizations.
Key technologies you’ll use
Work with tools such as GPU and distributed computing, cloud computing, machine learning, visualization, system modeling and simulation, along with applied statistics and techniques including text mining and natural language processing. Common languages and platforms include R, SAS, Python, Pig, Hive, Spark, MATLAB, SQL, and Hadoop.
What you bring
- Bachelor’s of Science degree in Data Science, Data Analysis, Mathematics, Physics, or Engineering (including Industrial, Mechanical, Aerospace, Electrical, etc.) or a related technical discipline.
- Experience using stochastic and deterministic data models with emphasis on modeling, data manipulation, and/or the application of mathematical and statistical methods.
- Ability to obtain a DoD Secret Clearance to perform job duties.
- Relevant experience applying analytics to drive business outcomes.
- Experience analyzing datasets and developing analytics, including areas such as demand forecasting, inventory optimization and/or supply planning, and readiness metrics (for example, mission capable or air vehicle availability).
- Statistical knowledge plus experience with distributed databases, query languages, and/or scripting for programming.
- Strong data visualization skills and proficiency with statistical analysis.
Benefits
- Medical, Dental, and Vision
- Flexible work arrangements and schedules (e.g., 4x10)
- 401(k) match
- Paid time off
- Holidays
- Parental Leave
- EAP (Employee Assistance Program)
- Flexible Spending Accounts
- Education Assistance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and may vary from year to year, tied to performance metrics.
Washington state applicants only: Non-represented full-time employees accrue at least 10 hours per month of Paid Time Off (PTO) for incidental absences and other reasons, and receive at least 90 hours for holidays. Represented full-time employees accrue 6.67 hours of Vacation per month, accrue up to 52 hours of sick leave annually, and receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Preferred (desired) skills
- Descriptive and predictive modeling
- Artificial Intelligence / Machine Learning (supervised and unsupervised)
- Advanced statistics and statistical modeling
- Time series analysis and forecasting
- Optimization and simulation
- Communication, story-telling, and visualization
- Distributed computing (Hadoop)
- Importing, cleaning, and transforming datasets; data preparation and transformation
- Data warehousing
- Critical thinking and problem-solving skills
- Air System and Sustainment Operations experience is highly desired (F-35, F-22)
