Sr Manager, Data Science

Please review the job details below.

Our team is looking for a Sr Manager of Analytics Development to join our group. We use quick iteration and regular feedback cycles to rapidly build sensemaking capabilities for customers, both internal and external, to provide Analytics & Solutions, backed with a sophisticated data architecture, that accelerate the flow of work from experimentation to development to production across Machine Learning, Data Science, and Research Science workflows. 

A Sr Manager of Analytics Development is expected to respond tactfully to Product and Engineering requirements, guided by a deep understanding of emerging machine learning, data science, electro optics, and unstructured data analysis through their experience utilizing agile development processes. The position requires fundamental experience in emerging machine learning technologies in Transformers, LLMs, and Computer Vision while leveraging backend capabilities that help scale, accelerate, and optimize user access to data and analytics workflows in order to drive Analytics development from research to production. In this role, the Manager will report to the Sr Director of Analytics and Solutions and have the support of a Tech Lead, to help guide them to execute requests from a wide variety of customers, promote career progression, and to coordinate workflows with the adjacent Analytics Engineering and Applied Analytics teams. 

  

Life with Us  

Your Career: We’re very serious about professional development and continuing education. We offer everyone the opportunity to define their own career trajectory within our company leveling system. Our group has some amazing resources at its disposal specifically for this purpose. Your direct manager will carve out 1:1 time to make sure you set appropriate goals and design a plan to help you make consistent progress.  

We offer: 

·        Dedicated professional development time, 

·        Conference attendance, 

·        Corporate partner, industry training, 

·        Paid certifications, 

·        Education reimbursement, 

·        Hackathons! 

·        and much more... 

 

Day-to-day with your colleagues:  

·        You'll be designing and sensemaking capability of the company. This will mean building the companies most important products and transitioning them from development to production while coordinating with adjacent Engineering and Applied Analytics teams. This will mean leveraging developing technologies in our Lakehouse, inference engines, and scalable compute architecture to build meaningful value for our customers. 

·        Through collaboration with our Applied Analytics, Analytics Engineering, and Foundational Data Science teams, you’ll work closely with the engineers and scientists that are actively extracting, loading, and transforming the data to ensure we develop a data architecture with software building blocks that are guaranteed to directly support user and mission critical workflows. 

·        We would like to work in a very Lean Agile environment without the overhead associated with traditional Scrum. This will mean bridging the gap between a research environment and a production software environment. We’ve eliminated unnecessary development meetings and we love it!  

·        You’ll collaborate with our geographically dispersed team primarily via Microsoft Teams and Slack.  

 

Requirements/Skills 

Our team’s minimum requirements for this position:  

·        Must be a U.S. Person. 

·        7+ years of technical experience, which should include 2+ years of people management. 

·        Strong Python skills! 

·        Recent experience with the following technologies: 

·        Modern modeling techniques Transformers, LLMs, YOLO, etc

·        Cloud technologies like AWS or Azure, with a focus on services like RDS, EKS, and S3/ECR, 

·        Experience operating in managed infrastructure like Kubernetes & Docker, 

·        Object Oriented Programming methodologies, 

·        GitHub, GitLab, BitBucket, or any other Git tools. 

·        Experience working with and engineering geospatial datasets. 

·        Bachelor's degree in a related field, (e.g., Computer Science, Mechanical or Electrical Engineering, Systems Engineering, etc.), or equivalent experience. 

 

If you also had these skills that’d be amazing:  

·        Experience with Apache Spark, Redshift and/or other large-scale data processing engines, 

·        Understanding of Agile methodologies, specifically frequent, iterative releases which rely on user feedback to refine features over time, 

·        Knowledge of Design Thinking principles, 

·        Experience using machine learning development frameworks and machine learning operations technologies like: 

·        PyTorch and/or Tensorflow, 

·        Terraform with Helm, or other infrastructure-as-code tools, 

Our salary ranges are market-driven and set to allow for flexibility. Individual pay will be competitive based on a candidate’s unique set of knowledge, skills, and geographic diversity, with earnings potential commensurate with experience. The range for this position is:

$137,000.00 - $229,000.00 annually.

 

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

Maxar employees must follow all applicable Maxar policies and COVID-19 requirements as well as those of Maxar customers and third parties. Individual job requirements may vary, and Maxar reserves the right to modify its policies and requirements as it deems appropriate in accordance with applicable law.

Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.