Data Science Manager (DataFlame)-Jersey City SVP-(Hybrid)

Key Skills

Analytical and Problem solving, Apache Hadoop, Apache Hive, Data science techniques, Docker, Effective communication skills, Infrastructure as code, Kubernetes-K8s, MapReduce, Python Programming, R Programming, SDLC, SPARK Programming, SQL

Job Description

The Data Science Group Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub-function. Involved in short- to medium-term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.

Responsibilities:

• Manage one or more Applications Development teams in an effort to accomplish established goals as well as conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions)
• Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
• Review and analyze proposed technical solutions for projects
• Contribute to formulation of strategies for applications development and other functional areas
• Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
• Work with stakeholders throughout the organization to identify opportunities for leveraging for Big Data Platform
• Identify and architect solutions to improve the analytics setup across the big data ecosystem, streaming solutions.
• Knowledge and capability of dealing with Client models and data science solutions
• Coordinate with different functional teams to implement models and monitor outcome

Qualifications:

• 10+ years of experience managing large teams
• Experience using statistical computer languages (Python, SQL, R etc.) to mine data and draw insights from large data sets
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark etc.
• Experience with cloud data infrastructure and Docker+Kubernetes
• Advanced exposure to data visualization tools
• Capable of breaking down complex problems, architect solutions and work to implement them
• Strong software engineering and big data architecture knowledge
• Excellent Communication skills
• Experience of Agile development and scrums
• Experience working across the entire SDLC lifecycle
• Strong analytical skills and problem-solving abilities
• Ability to handle multiple complex projects simultaneously
• Strong problem-solving skills with an emphasis on data analysis, and out of the box thinking
• Familiarity with Client models and being able to read them, working with clients
• Banking and securities domain knowledge would be an added advantage

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.