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Sr. Data Scientist + Software Engineering Lead

Industry Healthcare, Hi-Tech, Professional Services

Specialization Or Business Function Risk and Compliance, Actuarial Science (Health Insurance - Commercial, Health Insurance - Public Systems, Regulatory)

Technical Function Analytics, Software and Web Development, Ontology and Semantic Technology

Technology & Tools Big Data and Cloud, Data Analysis and AI Tools, Programming Languages and Frameworks (JavaScript)

CLOSED FOR BIDDING

Project Description

PwC is a network of firms committed to delivering quality in assurance, tax and advisory services.

We help resolve complex issues for our clients and identify opportunities. Learn more about us at www.pwc.com/us.

At PwC, we develop leaders at all levels. The distinctive leadership framework we call the PwC Professional (http://pwc.to/pwcpro) provides our people with a road map to grow their skills and build their careers. Our approach to ongoing development shapes employees into leaders, no matter the role or job title.

Are you ready to build a career in a rapidly changing world? Developing as a PwC Professional means that you will be ready

- to create and capture opportunities to advance your career and fulfill your potential. To learn more, visit us at www.pwc.com/careers.

It takes talented people to support the US firm of the largest professional services organization in the world. Not all of us work directly with external clients. Some of our best people choose to apply their talents inside PwC.

As part of Internal Firm Services, you're serving an organization on par with many of our external clients. Our Internal Firm Services team consists of first-rate marketers, human resource professionals, computer technologists, knowledge managers, accountants, financial planners, administrators and leaders. Internal Firm Services staff are the people who make it work for the people who make it work for our clients. 

Job Description

PwC established New Ventures to invest in new business models that leverage our knowledge and build solutions for the growing digital market.

New Ventures identifies, develops, and commercializes technology-enabled solutions that deliver PwC value, knowledge, and experience to our clients. Each new solution focuses on data-driven platforms or other IP-based solutions that leverage emerging technologies and new business models. Through the process of building new solutions, we foster a culture of innovation within the Firm, extend brand relevance in the market, and generate new revenue.

The New Ventures Engineering Team is responsible for establishing the technical vision with the Solution Architect team and managing developers (both onshore/offshore) to turn the vision into reality with an on-time and quality implementation.

The Tech Lead team supports concept development, product planning/estimation, and works with the Product Management team to drive product development as an critical member of a product leadership team. The Tech Lead team is expected to have full stack development experience utilizing agile development techniques/methodologies. In addition the Tech Lead team is responsible for working with multiple disciplines within the software development lifecycle (UI/UX, Product, Management, QA Testing & DevOps).

For data intensive applications, a data science experience lead is desired to understand data ingestion and processing needs based on product requirements and goals.

Position/Program Requirements

Minimum Year(s) of Experience: 5 in software development with at last 1 year leading developers in delivery of software products.

Minimum Degree Required: Bachelor's degree in Engineering, Computer Science or related field.

Knowledge Preferred: 

Demonstrates extensive knowledge and/or a proven record of success in data science and modern software engineering approaches, technologies, and tools, including the following areas:

- Big Data or Analytics or AI tools; 

- Cloud-ready architectures utilizing infrastructure and platform cloud services for AWS, GCP, or Azure;

- Event-driven and microservices architectures;

- DevOps including virtualization, automation, continuous integration;

- Mobile/Web architecture stacks;

- Polyglot Persistence including RDBMS/NoSQL data stores and appropriate use cases;

- Rapid-prototyping workflows and development tools; 

- Languages including HTML/CSS, Javascript/NodeJS;

- Frameworks/Libraries such as Angular, React, D3;

- Database including noSQL (mongo, neo4j, firebase), relational (mySQL, postgres);

- Configuration Management such as Chef, Puppet, Ansible, Terraform;

- Messaging such as Kafka, RabbitMQ, Redis, GraphQL; and,

- Containers including Docker, Kubernetes.

Skills Preferred: 

Demonstrates extensive abilities and/or a proven record of success in technical lead roles involving the following areas:

- Working in a venture backed software startup developing greenfield products strongly recommended

- Building and optimizing ‘big data’ data pipelines, architectures and data sets, using

    - Big data tools: Hadoop, Spark, Kafka, etc.

    - Cloud PaaS big data services: AWS, GCP, or Azure

- Applying analytic skills related to working with unstructured datasets

- Communicating, verbally and written, with both business and technical stakeholders to achieve product engineering objectives;

- Leading across all aspects of a technology solution such as integration, data, services, front-end, back-end, network, deployment, scaling, security, performance and development;

- Managing rapid-prototyping efforts with new and emerging technologies leveraging agile development techniques;

- Designing successful technical/integration architectures for large-scale platforms with a mix of 3rd party vendor, open-source, custom software, including the documentation of technical assumptions and decisions;

- Contributing to and managing incubators/innovation lab environments, and working with small teams across a variety of new and emerging technologies;

- Working in an environment that leverages project management skills like planning and tracking, issue and risk management, multitasking, team organization, and activity prioritization; and,

- Developing front-end, back-end, and/or systems administration applications with strong proficiency in at least one scripting language (Javascript, Python, etc.).

A Sr. Data Scientist and software engineering lead will

- Provide and communicate unified technical vision for software products and breaks down vision into tangible tasks for developers

- Lead by demonstration of technical expertise (i.e. hands-on) across full technology stack (front-end, back-end, data modeling, 3rd partyintegration)

- Manage performance of offshore and onshore developers through effective task breakdown,management, prioritization, and alignment of work to resource capabilities

- Scale team productivity by decomposing user stories and features into individual units of work

- Directly contribute with written code and provides code reviews to ensure adherence to solution design

- Participate in the cost estimation process by recommending the skills and numbers of developers required, and by performing effort estimation given product requirements

- Coordinate with customer, product team disciplines (e.g. UX/UI, DevOps, QA) and other product-related teams to build, test, and deploy software products 

- Identify technical risks and and proactively address issues that may have an impact on service levels or schedules

- Understand and apply agile software development techniques/methodologies to effect continuous quality improvement across people and processes

- Maintain responsibility for the quality and viability of software engineering deliverables by providing recommendations on technical solution including design, build/buy decisions, open-source tooling, etc.

- Collaborate with New Venture Product Engineering, and other Tech Leads to define the design, development, and support toolsets and processes to improve the overall efficacy of product teams

In your proposal please tell us why you might be a good fit and attach your resume.

Only for US based experts. Remote + Travel & Open to multiple location(s):  CA-San Francisco, CA-San Jose, IL-Chicago, NY-New York

Travel Requirements:   21-40% , 3-6 months contract.

Project Overview

  • Posted
    April 26, 2018
  • Planned Start
    May 01, 2018
  • Preferred Location
    United States

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