Data Scientist Sr - E3

Lockheed Martin Corporation; Orlando (FL); Sur place; USD 98 000 - 182 000; Plein temps

Avantages offerts par ce poste

Medical

Dental

Vision

Flexible work arrangements and Scheds

401(k) match

Paid time off

Holidays

Parental Leave

EAP

Flexible Spending Accounts

Education Assistance

Life Insurance

Short-Term Disability

Long-Term Disability

Résumé du poste

Lockheed Martin Corporation in Orlando seeks a data scientist to perform exploratory research and develop predictive models using statistics, ML, and visualization to provide actionable business insights.

Applicants should have a strong statistics background, experience with large datasets, forecasting, and tools like Python, R, and SQL. DoD clearance is required for the role, and the work may involve complex, mission-critical datasets.

Qualifications

• Bachelor's degree in a technical field or related discipline.
• Must be able to obtain a DoD Secret Clearance.
• Experience applying analytics to drive business outcomes.
• Experience analyzing datasets, reconciling disparate data, and forecasting.
• Knowledge of distributed databases, query languages, and scripting languages.
• Strong data visualization skills and statistical analysis.

Responsabilités

• Perform exploratory research and analysis to identify patterns in data.
• Develop predictive models and new algorithms to solve data/business problems.
• Use statistics, ML, and visualization to deliver actionable recommendations.
• Explain math and statistics behind models and support decision making.

Connaissances

Descriptive modeling

Predictive modeling

Artificial Intelligence

Machine Learning

Time series analysis

Forecasting

Optimization

Simulation

Visualization

Distributed computing

Data wrangling

Programming: R/Python/SAS/SQL

Formation

Bachelor's degree in Data Science/Data Analysis/Mathematics/Physics/Engineering

Outils

Hadoop

Description du poste

Standard Job Description

Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations

Basic Qualifications

• Bachelors of Science degree in Data Science, Data Analysis, Mathematics, Physics, or Engineering (Industrial, Mechanical, Aerospace, Electrical, etc.) or related technical disciplines
• Must be able to obtain a DoD Secret Clearance to perform job duties
• Relevant experience in applying analytics to drive business outcomes
• Experience in analyzing datasets and developing analytics, reconciling disparate datasets, demand forecasting, inventory optimization and/or supply planning methods, readiness metrics (mission capable, air vehicle availability, etc.)
• Statistical knowledge and experience with distributed databases, query languages, and/or programming with a scripting language
• Strong data visualization skills and proficiency with statistical analysis

(use of stochastic and deterministic data models) with an emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods

Air System and Sustainment Operations experience is highly desired (F-35, F-22).

Desired Skills

• Descriptive and Predictive modeling
• Articial Inteligence / 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 warehousing
• Critical thinking & problem-solving skills
• Data preparation and transformation
• Languages: R, SAS, Python, Pig, Hive, Spark, MATLAB, SQL

Pay Information

Full-Time Salary Range: $98100.00 - $182100.00

Benefits offered:

• Medical
• Dental
• Vision
• Flexible work arrangements and schedules (e.g., 4x10)
• 401(k) match
• Paid time off
• Holidays
• Parental Leave
• EAP
• 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 can vary from year to year and are tied to a range of performance metrics.
• For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; 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; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.