Verified Job
Work from home
Senior/Lead Data Scientist
Work from home
#39378
Remote / WFH
careersprint · United States · via CareerSprint
Job Description
Identified by Google from the original job post
Qualifications
Basic Qualifications (Required Skills/Experience) 10+ years of Data Science experience 10+ years of end-to-end analytics/ML solutions, including problem definition, data preparation, model development, validation, deployment, and monitoring
10+ years experience in a position that requires analytical, quantitative reasoning and/or mathematical modeling skills
10+ years of experience with Python and SQL. 5+ years of experience with machine learning/statistical modeling (e.g., regression, classification, clustering, time-series, anomaly detection, causal/experimental methods), including model evaluation and validation
16 more items(s)
Benefits
Pay & Benefits At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent
Elements of the Total Rewards package include competitive base pay and variable compensation opportunities
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work
2 more items(s)
Responsibilities
This role will lead the development and deployment of high-impact predictive and prescriptive analytics and will shape analytics strategy, architecture, and technical direction across a portfolio of complex problems
The ideal candidate brings deep expertise in advanced analytics and machine learning, strong engineering and MLOps instincts, and the ability to influence senior stakeholders and cross-functional teams to deliver measurable business results
Position Responsibilities Leads the design, development, validation, deployment, and lifecycle management of end-to-end predictive/prescriptive analytics solutions (e.g., forecasting, anomaly detection, optimization, risk scoring, early-warning systems)
Qualifications
Basic Qualifications (Required Skills/Experience) 10+ years of Data Science experience 10+ years of end-to-end analytics/ML solutions, including problem definition, data preparation, model development, validation, deployment, and monitoring
10+ years experience in a position that requires analytical, quantitative reasoning and/or mathematical modeling skills
10+ years of experience with Python and SQL. 5+ years of experience with machine learning/statistical modeling (e.g., regression, classification, clustering, time-series, anomaly detection, causal/experimental methods), including model evaluation and validation
16 more items(s)
Benefits
Pay & Benefits At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent
Elements of the Total Rewards package include competitive base pay and variable compensation opportunities
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work
2 more items(s)
Responsibilities
This role will lead the development and deployment of high-impact predictive and prescriptive analytics and will shape analytics strategy, architecture, and technical direction across a portfolio of complex problems
The ideal candidate brings deep expertise in advanced analytics and machine learning, strong engineering and MLOps instincts, and the ability to influence senior stakeholders and cross-functional teams to deliver measurable business results
Position Responsibilities Leads the design, development, validation, deployment, and lifecycle management of end-to-end predictive/prescriptive analytics solutions (e.g., forecasting, anomaly detection, optimization, risk scoring, early-warning systems)
