Experienced Data Scientist
Bengaluru, KarnatakaJob Description
At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.
Boeing Test and Evaluation team is currently looking for one Experienced Data Scientist to join their team in Bengaluru, KA. Test & Evaluation engineers at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability, to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems.
Position Responsibilities:
- Supports determination of data analysis goals given business objectives. Supports determination of decision support needs. Matches data to requirements and performance metrics to support analysis.
- 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 best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and applications.
- Performs standard procedures in evaluation and validation of correctness of models and analysis. Supports evaluation and validation of performance of models and analysis.
- Investigates best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and applications.
- Performs standard procedures in evaluation and validation of correctness of models and analysis. Supports evaluation and validation of performance of models and analysis.
- Investigates data characteristics, complexity, quality and meaning. Through visualizations and summarizations, defines performance, identifies trends, outliers and drivers.
- Prepares data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, identifying new feature variables and handling multi-variate data.
- Monitors production and deployment. Prepares decision support visualizations and reports, algorithms, models, dashboards and/or tools
- Develops software applications integrated with the insights obtained from the data science activities
Employer will not sponsor applicants for employment visa status.
Basic Qualifications (Required Skills/Experience):
- Candidate should have experience in understanding the business problem and work with the stakeholders to determine data analytics objectives
- Candidate should have experience in detailed data modeling including best fit methods, defining algorithms appropriate to the product, and the deployment and validation of the data model for verification of effectiveness.
- Candidate should have expertise in using predictive/prescriptive analytic solutions to support operational objectives.
- Develop software models to simulate real world problems to help operational leaders understand on which variables to focus. Candidate should have proficiency to streamline and optimize databases for efficient and consistent data consumption.
- Position requires hands on experience in working with SQL, .NET, Oracle, R, Python, Data modeling, Tableau
- Expertise in understanding, analyzing & optimizing large complicated SQL statements
- Strong knowledge and experience in T-SQL, database design, and ETL queries.
- Preferred experience in handling engineering data sets such as component failure data, engineering production process data, engineering test data, time series data etc.
Preferred Qualifications (Desired Skills/Experience):
- Experience in software programming languages and frameworks such as C#, ASP.Net, MVC will be an added advantage
- Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working independently in developing the analytics solutions
- Must be able to work collaboratively with very strong teaming skills. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world.
- Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects.
- Proactively seek information and direction to successfully complete the statement of work.
- Demonstrate strong written, verbal and interpersonal communication skills. Be fluent in written and spoken English, and have high degree of proficiency with MS Office tools to prepare comprehensive reports, presentations, proposals, and Statements of Work.
Typical Education & Experience:
Bachelors or Master’s Degree with 7+ years of experience
Relocation:
This position offers relocation based on candidate eligibility.
At the highest level, diversity and inclusion are part of Boeing's values. Having diverse employees, business partners and community relationships is vital to creating advanced aerospace and defense products and services for our diverse customers around the world. The company's commitment to diversity means providing a work environment for all employees that is welcoming, respectful and engaging, with opportunities for personal and professional development.
Experience Level
Individual Contributor
Contingent Upon Program Award
No, this position is not contingent upon program award
Schedule
Full time
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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