Job Details

ID #45501221
State California
City Santaclara
Job type Permanent
Salary USD Depends on Experience Depends on Experience
Source UST
Showed 2022-09-07
Date 2022-09-06
Deadline 2022-11-05
Category Software/QA/DBA/etc
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Project Manager with Data Science experience

California, Santaclara, 95050 Santaclara USA

Vacancy expired!

Technical Project Manager (Data Science Experience)

Key responsibilities:
  • Serve as the interface with sub-groups within a business unit and/or multiple GIS domains for the purpose of purpose of business and Business intelligence, big data and AI/ML technology strategy alignment, solution discovery, service management, project portfolio mgmt. Manage junior staff supporting business interface activities.
  • Perform and manage personnel responsible for performing analysis of business requirements or issues, converting analysis to functional specifications, designing solutions to meet cross functional business requirements or resolve issues, performing software or platform configuration, preparing and executing testing scenarios and scripts, and performing data conversions.
  • Manage personnel responsible for providing business application functional support services to meet customer performance, availability, service level agreements and customer satisfaction targets. Oversees monitoring of specific IT systems or set of systems and tuning of such systems for availability and performance. Drives completion of root cause analysis and resolution of outages or incident trends coordinating with infrastructure and technical teams, support providers and application vendors. Drives implementation of corrective and preventative actions. Evaluates/recommends/plans life cycle for patches, point releases, and major upgrades.
  • Deliver and manage personnel responsible for the delivery of project and support services within area of responsibility within allocated budget. Develops project budgets. Develops understanding cost model and cost drivers for service(s) and recommend service area budgets and cost optimization activities. May be responsible for timely renewal of maintenance and subscription contracts.
  • Ensures organizational adherence to GIS project management, software application development, testing, service management, change management, RCA and other relevant processes, standards, governance and controls. May manage execution of sox controls and testing, and support internal and external audits.
  • Plan and manage medium to large scale cross functional projects to ensure effective and efficient execution in line with guardrails of scope, timeline, budget and quality. May manage junior project managers.
  • Oversees/manages contingent workers performing services across multiple projects or service areas. Responsible for the selection, on boarding and off boarding of contingent workers in a timely manner. Manages contingent worker project/task assignments and ensure work product quality. Approves contingent worker time sheets/costs.
  • Ensure effective and efficient execution of the project to established guardrails of scope, timeline, and budget. Track execution and compliance metrics and provide regular status and feedback to stakeholders. Actively manage all aspects of project planning and execution in line with established processes and guidelines
  • Mentors and trains team members in project management. Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions
Tech. Knowledge:
  • Good knowledge in statistics and math in deep understanding on ML algorithms and their usage
  • Experience in end-to-end data science project life cycles from use case framing, data collection, data exploration, model building, deployment
  • Knowledge in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data
  • Knowledge in Deep learning with different NN architectures like CNN, RNN, LSTM, RCNNs, GANs, Transformers, VAE etc with strong hold on Pytorch or Tensrflow libraries.
  • Knowledge of visualization tools like tableau and cloudera libraries to effectively communicate the results/inferences derived out of data science models
  • Exposure in common cloud environments and understanding of robust on-premises data science infrastructure.
  • Understanding of big data related technologies, MLOps and AWS/Azure cloud.
Experience- 10+ years

Vacancy expired!

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