Job Specifications

Location

Charlotte, Falmouth, Greenville, Lexington, Mount Laurel, Maine, New Jersey, North Carolina, South Carolina

Published

2 months ago

Career Level

Mid Level

College Degree

Professional Degree

Data Scientist


About This Role

We are looking for someone with diverse skills and some background in this space to carry out a broad range of operational service and support assignments.You'll work under minimal supervision on environment management, maintenance, monitoring, performance and incident management, as well as production support activities. There's meaningful work at every turn!

Meaningful work is fueled by meaningful performance and career development conversations with your manager. Here are the essential job functions of this position:

  • Support applications and systems by meeting or exceeding standards and service levels while minimizing operational risk.
  • Promptly schedule packaging and new applications releases, engage partners. plan parallel work streams when possible.
  • Partner closely with stakeholders to improve production environment stability.
  • Leads the support of highly complex and comprehensive applications and systems and/or business lines.
  • Identifies root causes and implements targeted and controlled remediation plans.
  • Reviews, participates and implements procedures.
  • Researches industry standards, best practices and new innovations in technology and makes recommendations.
  • Provide quality service and solutions consistent with objectives and client requirements.
  • Effectively handle incident management for outages.
  • Ensure timely notification and escalation of possible issues/problems, options and recommendations for prompt resolution.
  • Dive into design, review, and integration of all application requirements like functional, security, integration, performance, quality, and operations.
  • Identify, address application/ data issues, cross-capability and cross-release issues that affect application integrity.
  • Provide expertise to other functional areas (technology, trends and processes).
  • Join projects aimed at evolving the base infrastructure, deploying new technologies, or optimizing the operational environment.
  • Deploy base infrastructure components for all environments.
  • May be involved in application deployment ( “off the shelf” or in-house) and procurement.
  • Follow change management procedures. ensure proper testing, sign-off, monitoring.
  • Monitor system life cycles, ensure specifications and functionality support business. objectives and architecture decisions.
  • Use meaningful metrics to monitor environment's performance.
  • Participate in disaster recovery planning (Define, Review, Test).
Other duties as assigned • Driving Requirements: • Travel Requirements:

Requirements
Preferred Qualifications - Here are the preferred qualifications for this role:

• Knowledge in general life cycle of Machine learning project
• Develop/implement ML model to build correlations between various data sources and optimize data streaming
• Maintain full professional knowledge of ML techniques and model development and share knowledge with business partners and senior management
• Strong experience with Machine learning theory and predictive algorithms: NLP, Gradient Boosting methods, Neural Network and etc.
• Experience with Big Data Analytics tools and environment such as Azure Cloud, Databricks, spark is a plus
• Ability to research and implement ML algorithms from academic research paper is a plus
• Proficient in one or more programming languages such as Python, SQL, R, Scala, Spark
• Knowledge in IT Operations is a plus
• Excellent verbal and written communication skills
• Experience with Spark (for databricks) is a plus

Preferred qualifications:

• Knowledge in general life cycle of Machine learning project
• Develop/implement ML model to build correlations between various data sources and optimize data streaming
• Maintain full professional knowledge of ML techniques and model development and share knowledge with business partners and senior management
• Strong experience with Machine learning theory and predictive algorithms: NLP, Gradient Boosting methods, Neural Network and etc.
• Experience with Big Data Analytics tools and environment such as Azure Cloud, Databricks, spark is a plus
• Ability to research and implement ML algorithms from academic research paper is a plus
• Proficient in one or more programming languages such as Python, SQL, R, Scala, Spark
• Knowledge in IT Operations is a plus
• Excellent verbal and written communication skills

Proficiency in Python & SQL is required. Experience with spark (for databricks) can be a plus. In terms of Machine Learning, high level knowledge & understanding of Machine Learned project/Machine Learning model implementation/Machine Learning theory & algorithm/life cycle of Machine Learning project are required.

What can you bring to TD? Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. Here are the minimum requirements for this position:

  • Undergraduate Degree or Technical Certificate.
  • 5-7 years relevant experience.
  • • Proficiency in Python & SQL
    • High level knowledge & understanding of ML project/ML model implementation/ML theory & algorithm/life cycle of ML project
  • Ability to work independently in a senior/lead role on a diverse range of tasks and coach/educate others.
  • Subject matter expert and consults with clients, team, and/or project team to provide technical guidance and highly complex troubleshooting/problem resolution.
  • Readiness and confidence in installing, configuring, upgrading business applications/systems in co-ordination with appropriate stakeholders.
  • Experience as a subject matter expert and consultant who can impart technical guidance and engage in highly-complex troubleshooting/problem resolution.
  • Must be eligible for employment under regulatory standards applicable to the position.