Sr. Data Scientist, Amazon Leo Global Planning, Amazon Leo

Amazon • Arlington, VA

1d

About The Position

Amazon Leo is an initiative to increase global broadband access through a
constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to
bring fast, affordable broadband to unserved and underserved communities around
the world. Amazon Leo will help close the digital divide by delivering fast,
affordable broadband to a wide range of customers, including consumers,
businesses, government agencies, and other organizations operating in places
without reliable connectivity.

Do you get excited by aerospace, space exploration, and/or satellites? Do you
want to help build solutions at Amazon Leo to transform the space industry? If
so, then we would love to talk!

The Amazon Leo Global Demand Planning team's mission is to map customer demand
across space and time. We enable Amazon Leo's long-term success by delivering
actionable insights and scientific forecasts across geographies and customer
segments to empower long range planning, capacity simulations, business
strategy, and hardware manufacturing recommendations through scalable tools and
durable mechanisms.

Requirements

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Experience working with scientists, economists, software developers, or product managers
• Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Nice To Haves

• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team
• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Responsibilities

• Work cross-functionally with product, business, capacity planning, and various technical teams (satellite engineering, communications systems and network engineering, science, simulations, etc) to quantify the impact of various technical trades, what if scenarios, and customer requirements on the long-term vision, strategy, and business case for Amazon Leo.
• Operate in ambiguous, fast-moving environments where speed of insight can matter as much as analytical precision.
• Scale models to include B2B, B2C, B2G, & mobility (aviation, maritime, land mobile), across geographic and temporal grains, capturing both short range, and long range impacts in terms of bandwidth capacity, quality of service metrics, and overall business revenue targets.
• Move prototypes to production environments, enabling scalable, repeatable analysis, and flexible frameworks for custom deal support.
• Work closely with the capacity planning and applied science teams to ensure that models seamlessly integrate with upstream and downstream systems.
• Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive decisions across Amazon Leo.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level