Data Scientist - Mid Level

Key Skills

AWS, Azure, C# Programming, Data science techniques, Effective communication skills, Google Cloud Platform (GCP), JavaScript, JMP, Machine learning techniques, Python Programming, R Programming, SQL, Tableau

Job Description

Position Responsibilities:

• Modifies and analyzes standardized data sets using analytics techniques such as machine learning, statistical analysis, mathematical optimization and simulation; identifies modeling attributes and parameters; applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables
• Investigates data characteristics, complexity, quality and meaning; develops visualizations and summarizations to define performance and identify trends, outliers and drivers
• Prepares data for analysis, e.g. cleansing, conditioning, transforming, modeling, identifying new feature variables and handling multi-variate data
• Identifies best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications
• Performs standard procedures in evaluation and verification of correctness and performance of models and analysis
• Supports determination of analysis requirements given business objectives
• Supports determination of decision support needs, matches data to requirements and performance metrics to support analysis
• Monitors production and deployment; prepares decision support visualizations and reports, algorithms, models, dashboards and/or tool

Basic Qualifications (Required Skills/Experience):

• Bachelors of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science, engineering
• 2+ years of experience in data science or analytics
• 2+ years of experience in database management, programming, statistical modeling and/or machine learning (SQL, R, Python, JMP, Tableau, etc.)
• 2+ years of experience in performing statistical analysis
• Proficient in both verbal and written communications skills in the English language

Preferred Qualifications (Desired Skills/Experience):

• Master's degree in data science, machine learning, applied statistics, mathematics, or other analytics oriented scientific field of study
• Experience working with analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, etc.
• Good organizational, interpersonal, and problem solving skills
• Ability to adjust priorities to multiple demands and unanticipated events
• Highly motivated and must work well in a team environment
• The ability to communicate effectively, both verbally and in writing
• Experience in commercial aviation business or engineering
• Familiarity with languages like C# / ASP.NET Core and JavaScript, which can enhance your ability to contribute to software development tasks.

At Boeing, we care deeply about the wellbeing of every employee. Some of the benefits open to you include:

• Market competitive salary and incentive/bonus program.
• Flexibility to work in a hybrid model. 
• Flexible working hours.
• Additional paid days off for Winter Break (December 24th-January 1st).
• Professional skills development via educational assistance program and certification.
• Medical Plan (Medicover) and life insurance (Warta S.A.) for you and your Family.
• Employee Pension Scheme (PPE).
• Benefit from Employee Recognition Program.
• Enjoy and build a friendly and inclusive atmosphere in workplace.
• Cooperate and exchange knowledge with world class global engineering team.

Employer willing to sponsor applicants for employment visa status.

Relocation: This position offers relocation based on candidate eligibility

On Saturday, 12 March 2022, the President of the Republic of Poland signed a law to assist citizens of Ukraine in connection with the armed conflict in that country. As part of this law, Ukrainian refugees in Poland benefit from access to the Polish labor market. Boeing welcomes applications from Ukrainian refugees who are seeking employment in Poland.

Typical Education/ Experience:

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+3 years' related work experience).

Export Control Requirements: Not an export control position

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.